&lt;p&gt;Method is a global design and engineering consultancy founded in 1999. We believe that innovation should be meaningful, beautiful and human. We craft practical, powerful digital experiences that improve lives and transform businesses. Our teams based in New York, Charlotte, Atlanta, London, Bengaluru, and remote work with a wide range of organizations in many industries, including Healthcare, Financial Services, Retail, Automotive, Aviation, and Professional Services.&lt;/p&gt;
&lt;p&gt;Method is part of GlobalLogic, a digital product engineering company. GlobalLogic integrates experience design and complex engineering to help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. GlobalLogic is a Hitachi Group Company.&lt;/p&gt;
&lt;p&gt;Your role is to collaborate with multidisciplinary individuals and support the project lead on data strategy and implementation projects. You will be responsible for data and systems assessment, identifying the critical data and quality gaps required for effective decision support, and contributing to the data platform modernization roadmap.&lt;/p&gt;
&lt;p&gt;This role is structured as a B2B contractor agreement. You will deliver services under a commercial contract, invoice us accordingly, and handle all obligations (tax, benefits, insurances) via your own organization.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Responsibilities:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Work closely with data scientists, data architects, business analysts, and other disciplines to understand data requirements and deliver accurate data solutions.&lt;/li&gt;
&lt;li&gt;Analyze and document existing data system processes to identify areas for improvement.&lt;/li&gt;
&lt;li&gt;Develop detailed process maps that describe data flow and integration across systems.&lt;/li&gt;
&lt;li&gt;Create a data catalog and document data structures across various databases and systems.&lt;/li&gt;
&lt;li&gt;Compare data across systems to identify inconsistencies and discrepancies.&lt;/li&gt;
&lt;li&gt;Contribute towards gap analysis and recommend solutions for standardizing data.&lt;/li&gt;
&lt;li&gt;Recommend data governance best practices to organize and manage data assets effectively.&lt;/li&gt;
&lt;li&gt;Propose database design standards and best practices to suit various downstream systems, applications, and business objectives&lt;/li&gt;
&lt;li&gt;Strong problem-solving abilities with meticulous attention to detail and experience.&lt;/li&gt;
&lt;li&gt;Experience with requirements gathering and methodologies.&lt;/li&gt;
&lt;li&gt;Excellent communication and presentation skills with the ability to clearly articulate technical concepts, methodologies, and business impact to both technical teams and clients.A unique point of view. You are trusted to question approaches, processes, and strategy to better serve your team and clients.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Skills Required&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Technical skills&lt;/em&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Proven experience (5+ years) in data engineering.&lt;/li&gt;
&lt;li&gt;5+ years of proven data engineering experience with expertise in data warehousing, data management, and data governance in SQL or NoSQL databases.&lt;/li&gt;
&lt;li&gt;Deep understanding of data modeling, data architecture, and data integration techniques.&lt;/li&gt;
&lt;li&gt;Advanced proficiency in ETL/ELT processes and data pipeline development from raw, structured to business/analytics layers to support BI Analytics and AI/GenAI models.&lt;/li&gt;
&lt;li&gt;Hands-on experience with ETL tools including: Databricks (preferred), Matillion, Alteryx, or similar platforms.&lt;/li&gt;
&lt;li&gt;Commercial experience with a major cloud platform like Microsoft Azure (e.g., Azure Data Factory, Azure Synapse, Azure Blob Storage).&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;em&gt;Core Technology stack&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Databases&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Oracle RDBMS (for OLTP): &lt;/strong&gt;Expert SQL for complex queries, DML, DDL.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Oracle Exadata (for OLAP/Data Warehouse): &lt;/strong&gt;Advanced SQL optimized for analytical workloads. Experience with data loading techniques and performance optimization on Exadata.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Storage:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;S3-Compatible Object Storage (On-Prem): &lt;/strong&gt;Proficiency with S3 APIs for data ingest, retrieval, and management.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Programming &amp;amp; Scripting:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Python: &lt;/strong&gt;Core language for ETL/ELT development, automation, and data manipulation.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Shell Scripting (Linux/Unix): &lt;/strong&gt;Bash/sh for automation, file system operations, and job control.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Version Control:&lt;/strong&gt;&lt;strong&gt;&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;Git: &lt;/strong&gt;Managing all code artifacts (SQL scripts, Python code, configuration files).​​&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Related Technologies &amp;amp; Concepts:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Data Pipeline Orchestration Concepts: &lt;/strong&gt;Understanding of scheduling, dependency management, monitoring, and alerting for data pipelines&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Containerization:&lt;/strong&gt; Docker, basic understanding of how containerization works&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;API Interaction:&lt;/strong&gt; Understanding of REST APIs for data exchange (as they might need to integrate with the Java Spring Boot microservices).&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;em&gt;Location&lt;/em&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Remote across Poland&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Why Method?&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We look for individuals who are smart, kind and brave. Curious people with a natural ability to think on their feet, learn fast, and develop points-of-view for a constantly changing world find Method an exciting place to work. Our employees are excited to collaborate with dispersed and diverse teams that bring together the best in thinking and making. We champion the ability to listen and believe that critique and dissonance lead to better outcomes. We believe everyone has the capacity to lead and look for proactive individuals who can take and give direction, lead by example, enjoy the making as much as they do the thinking, especially at senior and leadership levels.&lt;/p&gt;
&lt;h4&gt;&lt;strong&gt;Next Steps&lt;/strong&gt;&lt;/h4&gt;
&lt;p&gt;If Method sounds like the place for you, please submit an application. Also, let us know if you have a presence online with a portfolio, GitHub, Dribbble or other platform.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;By clicking the &quot;Submit Application&quot; button below, you give your express consent to process your data for this vacancy according to the&amp;nbsp;&lt;a href=&quot;https://url.us.m.mimecastprotect.com/s/VIUdC5y4g1s0RB2ZOhOh0UkeMhe?domain=method.com/&quot; target=&quot;_blank&quot; data-saferedirecturl=&quot;https://www.google.com/url?q=https://url.us.m.mimecastprotect.com/s/VIUdC5y4g1s0RB2ZOhOh0UkeMhe?domain%3Dmethod.com/&amp;amp;source=gmail&amp;amp;ust=1749912356512000&amp;amp;usg=AOvVaw2mP1ZQ03nEkNbCiUZMZSW2&quot;&gt;Recruitment Privacy Notice&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;By checking the box, you may also agree to allow GlobalLogic to retain your data for future opportunities for employment for up to 3 years.&lt;/p&gt;
&lt;p&gt;You can withdraw your consent at any time by contacting&amp;nbsp;&lt;a href=&quot;mailto:privacy@globallogic.com&quot; target=&quot;_blank&quot;&gt;privacy@globallogic.com&lt;/a&gt;.&lt;/p&gt;
&lt;p&gt;You can find more information about how GlobalLogic processes your personal data and what your rights are in the&amp;nbsp;&lt;a href=&quot;https://url.us.m.mimecastprotect.com/s/VIUdC5y4g1s0RB2ZOhOh0UkeMhe?domain=method.com/&quot; target=&quot;_blank&quot; data-saferedirecturl=&quot;https://www.google.com/url?q=https://url.us.m.mimecastprotect.com/s/VIUdC5y4g1s0RB2ZOhOh0UkeMhe?domain%3Dmethod.com/&amp;amp;source=gmail&amp;amp;ust=1749912356513000&amp;amp;usg=AOvVaw2acs7e_9V_wv-YQ8KQCTNl&quot;&gt;Recruitment Privacy Notice&lt;/a&gt;.&lt;/p&gt;

Senior Data Engineer

&lt;p&gt;Method is a global design and engineering consultancy founded in 1999. We believe that innovation should be meaningful, beautiful, and human. We craft practical, powerful digital experiences that improve lives and transform businesses. Our teams [based in New York, Charlotte, Atlanta, London, Bengaluru, and remote] work with a wide range of organizations in many industries, including Healthcare, Financial Services, Retail, Automotive, Aviation, and Professional Services.&lt;/p&gt;
&lt;p&gt;Method is part of GlobalLogic, a digital product engineering company. GlobalLogic integrates experience design and complex engineering to help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. GlobalLogic is a Hitachi Group Company.&lt;/p&gt;
&lt;p&gt;Your role is to collaborate with multidisciplinary individuals and support the project lead on BI data strategy and implementation project. You will be responsible for gathering requirements from stakeholders, analyzing data (often via SQL, Excel, or BI tools like Tableau/Power BI), identifying the critical data and quality gaps required for the effective decision support and translating insights into reports, designing and building dynamic data visualization in a form of a dashboard.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Responsibilities:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Work closely with product strategists, data engineers, data architects, and other design disciplines to understand data requirements and design accurate and impactful data reporting systems.&lt;/li&gt;
&lt;li&gt;Analyze and document existing BI data system processes to identify opportunities for improvement.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Translate vague business goals into clear analytical requirements and success criteria&lt;/li&gt;
&lt;li&gt;Craft data stories that highlight trends, anomalies, and actionable insights&lt;/li&gt;
&lt;li&gt;Build interactive dashboards and standardized reports using BI platforms (e.g., Tableau, Power BI, Custom using Streamlit/Flask)&lt;/li&gt;
&lt;li&gt;Apply best practices in layout, color theory, and chart selection to maximize readability and insight&lt;/li&gt;
&lt;li&gt;Identify and improve slow-running queries, dashboard load times, and data refresh processes&lt;/li&gt;
&lt;li&gt;Propose data standards and best practices.&lt;/li&gt;
&lt;li&gt;Stay current with emerging BI tools, visualization techniques, and data-design patterns&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Qualifications:&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Analytical skills&amp;nbsp;&lt;/em&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Ability to quickly learn new industry or business domains and translate business strategy into analytics priorities&lt;/li&gt;
&lt;li&gt;Expert at breaking down ambiguous business questions into structured analytical approaches with attention to detail&lt;/li&gt;
&lt;li&gt;Skilled at weaving complex data findings into clear, impactful narratives for C-suite and non-technical stakeholders&lt;/li&gt;
&lt;li&gt;Comfortable presenting to executive audiences and facilitating data-driven decision workshops&lt;/li&gt;
&lt;li&gt;Ability to analyze complex data sets and translate findings into actionable insights.&lt;/li&gt;
&lt;li&gt;Deep understanding of data governance frameworks (data cataloguing, lineage, access controls)&lt;/li&gt;
&lt;li&gt;Excellent verbal/written communication skills, with the ability to succinctly articulate your work and its intent to your team and your client&lt;/li&gt;
&lt;li&gt;A unique point of view. You are trusted to question approaches, processes, and strategy to serve your team better.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;em&gt;Technical skills&lt;/em&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Proven experience (5+ years) in data engineering, data analysis, or a similar role.&lt;/li&gt;
&lt;li&gt;Expert in both Tableau and Power BI (at least 3+ years of experience)&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Able to create custom visuals (Stremlit, JavaScript/TypeScript + D3.js or R/Shiny) when off-the-shelf doesn’t suffice&lt;/li&gt;
&lt;li&gt;Proficient in Python for data cleansing and statistical analysis&lt;/li&gt;
&lt;li&gt;Experience with data warehousing and ETL (Extract, Transform, Load) processes. (desired)&lt;/li&gt;
&lt;li&gt;Working knowledge of data services on cloud infrastructure (AWS/Azure /GCP). (desired)&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Travel is possible and required as needed up to 15%.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why Method?&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We look for individuals who are smart, kind, and brave. Curious people with a natural ability to think on their feet, learn fast, and develop points-of-view for a constantly changing world find Method an exciting place to work. Our employees are excited to collaborate with dispersed and diverse teams that bring together the best in thinking and making. We champion the ability to listen and believe that critique and dissonance lead to better outcomes. We believe everyone has the capacity to lead and look for proactive individuals who can take and give direction, lead by example, enjoy the making as much as they do the thinking, especially at senior and leadership levels.&lt;/p&gt;
&lt;p&gt;We believe in work/life balance. Seriously. We offer a ton of competitive perks, including:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Continuing education opportunities&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Flexible PTO and work-from-home policies&amp;nbsp;&lt;/li&gt;
&lt;li&gt;401K matching&lt;/li&gt;
&lt;li&gt;Health, Dental and Vision benefits, starting on day 1&lt;/li&gt;
&lt;li&gt;Company lunches, company outings, along with a lot of snacks&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Health and wellness programs&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Other location-specific perks (just ask!)&lt;/li&gt;
&lt;/ul&gt;
&lt;h3&gt;&lt;strong&gt;Next Steps&lt;/strong&gt;&lt;/h3&gt;
&lt;p&gt;If Method sounds like the place for you, please submit an application. Also, let us know if you have a presence online with a blog, Twitter, GitHub, Dribbble or other platform.&lt;/p&gt;
&lt;p&gt;&lt;em&gt;* For information on how we process your personal data please see &lt;/em&gt;&lt;a href=&quot;https://www.method.com/privacy/&quot;&gt;&lt;em&gt;Privacy&lt;/em&gt;&lt;/a&gt;&lt;em&gt;.&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;* If you are a California resident, more details on how we process your personal information can be found in the CCPA Recruitment Privacy Notice (&lt;/em&gt;&lt;a href=&quot;https://www.globallogic.com/privacy/ccpa-recruitment-privacy-notice/&quot;&gt;&lt;em&gt;https://www.globallogic.com/privacy/ccpa-recruitment-privacy-notice/&lt;/em&gt;&lt;/a&gt;&lt;em&gt;)&quot;&lt;br&gt;&lt;br&gt;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;&lt;em&gt;Colorado Applicants&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; (Colorado Equal Pay for Equal Work Act Disclosure):&amp;nbsp; The starting salary range for this role to be performed in Colorado is estimated to be between &lt;/em&gt;&lt;em&gt;$125,000 to $145,000 &lt;/em&gt;&lt;em&gt;annually.&amp;nbsp; This salary range is specific to Colorado residents only, and provided as a general estimate.&amp;nbsp; The amount offered may be higher or lower. Method&amp;nbsp; takes many factors into making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.&amp;nbsp;&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;&lt;em&gt;New York City Applicants&lt;/em&gt;&lt;/strong&gt;&lt;em&gt; (New York City Local Law 32;&amp;nbsp; Pay Transparency Law):&amp;nbsp; The starting salary range for this role to be performed in New York City is from &lt;/em&gt;&lt;em&gt;$125,000 to $145,000&lt;/em&gt;&lt;em&gt;. This salary range is specific to New York City residents only, and provided as a general, good faith estimate. The amount offered may be higher or lower. Method takes many factors into making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;&amp;nbsp;&lt;/em&gt;&lt;/p&gt;

Senior Data Designer

&lt;p&gt;Method is a global design and engineering consultancy founded in 1999. We believe that innovation should be meaningful, beautiful and human. We craft practical, powerful digital experiences that improve lives and transform businesses. Our teams based in New York, Charlotte, Atlanta, London, Poland, Bengaluru, and remote work with a wide range of organizations in many industries, including Healthcare, Financial Services, Retail, Automotive, Aviation, and Professional Services.&lt;/p&gt;
&lt;p&gt;Method is part of GlobalLogic, a digital product engineering company. GlobalLogic integrates experience design and complex engineering to help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. GlobalLogic is a Hitachi Group Company.&lt;/p&gt;
&lt;p&gt;We’re seeking &lt;strong&gt;two hands-on Data Scientists&lt;/strong&gt; to join our Data &amp;amp; AI Team. Both will be responsible for improving, optimizing, and scaling Monte Carlo–based simulation algorithms that support advanced maintenance planning and assessment. For one of these positions, experience in &lt;strong&gt;reliability engineering or reliability science&lt;/strong&gt;—particularly in the context of maintenance planning and asset performance assessment—is highly desirable. Working closely with solution architects and fellow data scientists, you will analyze and optimize Python code, benchmark performance across CPU and GPU environments, and design experiments to assess feasibility at scale. Your work will span from algorithm refinement and performance testing to developing proof-of-concept architectures on Azure, creating parameterized simulations, and producing benchmark reports that inform product vision and cost/benefit trade-offs. These roles are highly collaborative, requiring both strong technical depth and the ability to translate simulation results into actionable insights for future product and service offerings.&lt;/p&gt;
&lt;p&gt;Travel for team and client meetings is required, typically up to 15%.&lt;/p&gt;
&lt;h3&gt;&lt;strong&gt;Responsibilities:&lt;/strong&gt;&lt;/h3&gt;
&lt;ul&gt;
&lt;li&gt;Collaborate with a cross-functional team (designer, product strategy, solution architects) to improve and optimize Monte Carlo–based simulation algorithms for predictive maintenance planning.&lt;/li&gt;
&lt;li&gt;Analyze, refactor, and optimize existing Python code to ensure performance, scalability, and adherence to best practices.&lt;/li&gt;
&lt;li&gt;Benchmark algorithm performance at component and system levels under varying data volumes and hardware configurations (CPU vs GPU).&lt;/li&gt;
&lt;li&gt;Design and execute experiments to evaluate the feasibility of large-scale simulation deployments on cloud environments (Azure preferred).&lt;/li&gt;
&lt;li&gt;Develop proof-of-concept data workflows, including parameterized simulations, scenario scaling, and distribution-based reporting.&lt;/li&gt;
&lt;li&gt;Contribute to defining the Minimum Viable Architecture (MVA), including cost assessment, hardware/software requirements, and integration pathways.&lt;/li&gt;
&lt;li&gt;Produce technical deliverables: benchmark reports, code optimization documentation, cost/performance trade-offs, and recommendations for next phases.&lt;/li&gt;
&lt;/ul&gt;
&lt;h3&gt;&lt;strong&gt;Qualifications:&lt;/strong&gt;&lt;/h3&gt;
&lt;p&gt;&lt;strong&gt;Education&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Master’s or PhD in Computer Science, Data Science, Applied Mathematics, Operations Research, or a related field.&lt;/li&gt;
&lt;li&gt;3–5+ years of professional experience in data science, computational modeling, or applied research (industry or advanced research projects).&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Technical skills&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Strong proficiency in &lt;strong&gt;Python&lt;/strong&gt;, including code optimization, profiling, and use of libraries for scientific computing (NumPy, SciPy, pandas, Dask, Numba, etc.).&lt;/li&gt;
&lt;li&gt;Experience with &lt;strong&gt;Monte Carlo simulation methods&lt;/strong&gt; or other stochastic modeling techniques.&lt;/li&gt;
&lt;li&gt;Familiarity with &lt;strong&gt;high-performance computing&lt;/strong&gt; (parallelization, GPU acceleration, CUDA, RAPIDS, or equivalent).&lt;/li&gt;
&lt;li&gt;Hands-on experience with &lt;strong&gt;cloud platforms&lt;/strong&gt; (Azure preferred, AWS or GCP acceptable), including resource provisioning, scalability, and cost management.&lt;/li&gt;
&lt;li&gt;Understanding of &lt;strong&gt;data architecture principles&lt;/strong&gt; and ability to work with large, complex datasets.&lt;/li&gt;
&lt;li&gt;Experience in building &lt;strong&gt;data-driven reports and visualizations&lt;/strong&gt; (e.g., matplotlib, Plotly, Dash, or equivalent).&lt;/li&gt;
&lt;li&gt;Knowledge of &lt;strong&gt;software engineering practices&lt;/strong&gt; (version control, testing, static analysis, code reviews).&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Preferred / nice to have&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Experience with predictive maintenance, &lt;strong&gt;reliability engineering&lt;/strong&gt;, or asset management solutions.&lt;/li&gt;
&lt;li&gt;Familiarity with &lt;strong&gt;APM systems&lt;/strong&gt; and energy/utility sector solutions.&lt;/li&gt;
&lt;li&gt;Prior exposure to &lt;strong&gt;Azure Machine Learning&lt;/strong&gt;, &lt;strong&gt;Databricks&lt;/strong&gt;, or distributed computing frameworks.&lt;/li&gt;
&lt;li&gt;Experience integrating simulation algorithms with UI components or dashboards.&lt;br&gt;&lt;br&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Soft skills&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Strong analytical and problem-solving skills with ability to translate complex simulations into actionable insights.&lt;/li&gt;
&lt;li&gt;Ability to work in a collaborative, cross-functional, and international team environment.&lt;/li&gt;
&lt;li&gt;Excellent communication and documentation skills for technical and non-technical stakeholders.&lt;/li&gt;
&lt;li&gt;Proactive, research-oriented mindset with focus on experimentation and feasibility assessment.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why Method?&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We look for individuals who are smart, kind and brave. Curious people with a natural ability to think on their feet, learn fast, and develop points-of-view for a constantly changing world find Method an exciting place to work. Our employees are excited to collaborate with dispersed and diverse teams that bring together the best in thinking and making. We champion the ability to listen, and believe that critique and dissonance lead to better outcomes. We believe everyone has the capacity to lead and look for proactive individuals who can take and give direction, lead by example, enjoy the making as much as they do the thinking, especially at senior and leadership levels.&lt;/p&gt;
&lt;p&gt;We believe in work/life balance. Seriously. We offer a ton of competitive perks, including:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Continuing education opportunities&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Flexible PTO and work-from-home policies&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Private medical care (can be extended to your family)&lt;/li&gt;
&lt;li&gt;Cafeteria system as part of the Benefit platform&lt;/li&gt;
&lt;li&gt;Group life insurance&lt;/li&gt;
&lt;li&gt;Creative TAX-deductible cost&lt;/li&gt;
&lt;li&gt;Other location specific perks (just ask!)&lt;/li&gt;
&lt;/ul&gt;
&lt;h4&gt;&lt;strong&gt;Next Steps&lt;/strong&gt;&lt;/h4&gt;
&lt;p&gt;If Method sounds like the place for you, please submit an application. Also, let us know if you have a presence online with a portfolio, GitHub, Dribbble or other platform.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;By clicking the &quot;Submit Application&quot; button below, you give your express consent to process your data for this vacancy according to the &lt;/em&gt;&lt;a href=&quot;https://www.method.com/privacy/&quot;&gt;&lt;em&gt;Recruitment Privacy Notice&lt;/em&gt;&lt;/a&gt;&lt;em&gt;.&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;By checking the box, you may also agree to allow GlobalLogic to retain your data for future opportunities for employment for up to 3 years.&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;You can withdraw your consent at any time by contacting &lt;/em&gt;&lt;em&gt;privacy@globallogic.com&lt;/em&gt;&lt;em&gt;.&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;You can find more information about how GlobalLogic processes your personal data and what your rights are in the &lt;/em&gt;&lt;a href=&quot;https://www.method.com/privacy/&quot;&gt;&lt;em&gt;Recruitment Privacy Notice&lt;/em&gt;&lt;/a&gt;&lt;em&gt;.&lt;/em&gt;&lt;/p&gt;

Senior Data Scientist

&lt;p&gt;Method is a global design and engineering consultancy founded in 1999. We believe that innovation should be meaningful, beautiful and human. We craft practical, powerful digital experiences that improve lives and transform businesses. Our teams [based in New York, Charlotte, Atlanta, London, Bengaluru, and remote] work with a wide range of organizations in many industries, including Healthcare, Financial Services, Retail, Automotive, Aviation, and Professional Services.&lt;/p&gt;
&lt;p&gt;Method is part of GlobalLogic, a digital product engineering company. GlobalLogic integrates experience design and complex engineering to help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. GlobalLogic is a Hitachi Group Company.&lt;/p&gt;
&lt;p&gt;We are seeking a highly experienced and versatile Staff ML Engineer to join our dynamic Data &amp;amp; AI team. In this critical role, you will design, develop, and deploy AI applications incorporating sophisticated AI agents capable of complex reasoning, planning, and autonomous action. We’re looking for a candidate with hands-on expertise in Python—particularly using LangChain,LlamaIndex, HayStack, AutoGPT—who can architect agentic workflows and integrate complex ETL pipelines. You should be comfortable designing and deploying web app POCs on cloud and orchestrating tooling, APIs and third-party systems to build robust data-driven applications. You will tackle ambiguous problems, provide technical leadership across front-end, back-end, and AI components, and help shape the technical direction for our agentic AI initiatives. This is a unique opportunity to apply your full-stack expertise to the forefront of AI development.&lt;/p&gt;
&lt;p&gt;Travel for team and client meetings is required, typically up to 15%. This is a UK-based position.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Responsibilities:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Develop and manage AI-based data pipelines, including data curation, generation, and labeling for training and adapting AI models.&lt;/li&gt;
&lt;li&gt;Work with foundation models and unstructured data, performing tasks such as data deduplication, vectorization, tokenization, context retrieval, and quality control.&lt;/li&gt;
&lt;li&gt;Optimize AI model inference for speed and cost-effectiveness.&lt;/li&gt;
&lt;li&gt;Participate in the development and evaluation of AI applications, mitigating risks and identifying opportunities for performance enhancements.&lt;/li&gt;
&lt;li&gt;Evaluate AI models, particularly open-ended, non-deterministic models, ensuring appropriate tone and content.&lt;/li&gt;
&lt;li&gt;Apply prompt engineering techniques to guide AI models through input, without adjusting model weights.&lt;/li&gt;
&lt;li&gt;Construct effective instruction and context for AI models to perform tasks, enhancing model performance.&lt;/li&gt;
&lt;li&gt;Develop AI-powered interfaces such as browser extensions, chatbots, plugins/addons, web/desktop/mobile applications.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Skills Required:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;5+ years experience in data science. Your story/portfolio reflects a solid foundation in using data and applying statistical/ML models to solve business problems. You demonstrate a good understanding of commercial data reality across many industries.&lt;/li&gt;
&lt;li&gt;Undergraduate and/or Masters Degree in Data Science or equivalent professional experience&lt;/li&gt;
&lt;li&gt;Experience in data engineering, including data curation, generation, and labeling (Pandas, NumPy, Sklearn). DataBase interfacing: SQLAlchemy, Alembic. Vector DBs: one of ChromaDB, Weaviate, Pinecone.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Familiarity with foundation models and handling unstructured data. Experience with at least two of LangChain, LangSmith, llamaindex, OpenAI apis, Ollama, HuggingFace Transformers, CrewAI.&lt;/li&gt;
&lt;li&gt;Understanding of data preprocessing techniques like deduplication, tokenization, context retrieval, and quality control.&lt;/li&gt;
&lt;li&gt;Proven ability to optimize model inference for speed and cost-effectiveness, MLOps (MLflow, Tensorboard, Neptune, Weights and Biases)&lt;/li&gt;
&lt;li&gt;Experience in evaluating AI applications, identifying risks, and uncovering opportunities for enhancement.&lt;/li&gt;
&lt;li&gt;Skill in evaluating open-ended, non-deterministic AI models and ensuring appropriate tone and content.&lt;/li&gt;
&lt;li&gt;Proficiency in prompt engineering and context construction for guiding AI model behavior.&lt;/li&gt;
&lt;li&gt;Experience developing AI-powered interfaces such as browser extensions, chatbots, and web applications (with one of Flask, Jinja, FastAPI, Streamlit).&lt;/li&gt;
&lt;li&gt;Knowledge of various AI-related technologies and tools for orchestrating Agents, augmenting generative models, monitoring performance, and creating output guardrails.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Why Method?&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We look for individuals who are smart, kind and brave. Curious people with a natural ability to think on their feet, learn fast, and develop points-of-view for a constantly changing world find Method an exciting place to work. Our employees are excited to collaborate with dispersed and diverse teams that bring together the best in thinking and making. We champion the ability to listen, and believe that critique and dissonance lead to better outcomes. We believe everyone has the capacity to lead and look for proactive individuals who can take and give direction, lead by example, enjoy the making as much as they do the thinking, especially at senior and leadership levels.&lt;/p&gt;
&lt;p&gt;We believe in work/life balance. Seriously. We offer a ton of competitive perks, including:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Continuing education opportunities&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Flexible PTO and work-from-home policies&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Pension&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Health and dental benefits&lt;/li&gt;
&lt;li&gt;Company lunches, company outings, along with a lot of snacks&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Health and wellness programs&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Other location specific perks (just ask!)&lt;/li&gt;
&lt;/ul&gt;
&lt;h4&gt;&lt;strong&gt;Next Steps&lt;/strong&gt;&lt;/h4&gt;
&lt;p&gt;If Method sounds like the place for you, please submit an application. Also, let us know if you have a presence online with a portfolio, GitHub, Dribbble or other platform.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;By clicking the &quot;Submit Application&quot; button below, you give your express consent to process your data for this vacancy according to the &lt;/em&gt;&lt;a href=&quot;https://www.method.com/privacy/&quot;&gt;&lt;em&gt;Recruitment Privacy Notice&lt;/em&gt;&lt;/a&gt;&lt;em&gt;.&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;By checking the box, you may also agree to allow GlobalLogic to retain your data for future opportunities for employment for up to 3 years.&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;You can withdraw your consent at any time by contacting &lt;/em&gt;&lt;em&gt;privacy@globallogic.com&lt;/em&gt;&lt;em&gt;.&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;You can find more information about how GlobalLogic processes your personal data and what your rights are in the &lt;/em&gt;&lt;a href=&quot;https://www.method.com/privacy/&quot;&gt;&lt;em&gt;Recruitment Privacy Notice&lt;/em&gt;&lt;/a&gt;&lt;em&gt;.&lt;/em&gt;&lt;/p&gt;

ML Staff Engineer

&lt;p&gt;Method is a global design and engineering consultancy founded in 1999. We believe that innovation should be meaningful, beautiful and human. We craft practical, powerful digital experiences that improve lives and transform businesses. Our teams based in New York, Charlotte, Atlanta, London, Poland, Bengaluru, and remote work with a wide range of organizations in many industries, including Healthcare, Financial Services, Retail, Automotive, Aviation, and Professional Services.&lt;/p&gt;
&lt;p&gt;Method is part of GlobalLogic, a digital product engineering company. GlobalLogic integrates experience design and complex engineering to help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. GlobalLogic is a Hitachi Group Company.&lt;/p&gt;
&lt;p&gt;We’re seeking a hands-on MLOps Engineer to join our Data &amp;amp; AI team You will be responsible for building and scaling a MLOps platform that enables end to end machine learning. Partnering closely with ML Engineers, you will automate ML workflows, streamline CI/CD pipelines and operationalise models in production environments to support real time decision making and AI power services. You will also play a key role in productionising LLM use cases and ensuring the overall observability, governance and reliability of the MLOps infrastructure.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Travel for team and client meetings is required, typically up to 15%.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Responsibilities:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Work side-by-side with ML Engineers to understand data requirements for ML workflows, iterating on ML models based on business &amp;amp; technical requirements.&lt;/li&gt;
&lt;li&gt;Develop and maintain ML models within a platform&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Implement and manage workflow orchestration.&lt;/li&gt;
&lt;li&gt;Develop CI/CD pipeline for ML systems integrating with version control systems like Bitbucket.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Deploy and monitor API endpoints for model inference.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Implement monitoring and observability tooling for real time tracking of model performance, drift and system health.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Ensure compliance with organisational security, governance and auditability standards for all MLOps components.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Work collaboratively across cross-functional workstreams (e.g., AI engineering, data governance, DevOps, and product teams) to align on requirements, share infrastructure components, and ensure seamless end-to-end ML lifecycle integration.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Qualifications:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;5+ years of experience in MLOps engineering or software development, with a strong focus on designing, deploying, and maintaining scalable, reliable, and automated machine learning pipelines and infrastructure.&lt;/li&gt;
&lt;li&gt;Experience deploying and managing ML services on Kubernetes using Docker.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Ability to design, manage, and debug Docker containers for ML workloads and services.&lt;/li&gt;
&lt;li&gt;Hands-on experience with Argo Workflows (or equivalent) for orchestrating multi-step ML pipelines.&lt;/li&gt;
&lt;li&gt;GitOps experience for pipeline automation and deployment.&lt;/li&gt;
&lt;li&gt;Experience or working knowledge of hosting and managing on-prem LLMs (e.g., running inference, local deployment) and understanding of LLMOps.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Why Method?&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We look for individuals who are smart, kind and brave. Curious people with a natural ability to think on their feet, learn fast, and develop points-of-view for a constantly changing world find Method an exciting place to work. Our employees are excited to collaborate with dispersed and diverse teams that bring together the best in thinking and making. We champion the ability to listen, and believe that critique and dissonance lead to better outcomes. We believe everyone has the capacity to lead and look for proactive individuals who can take and give direction, lead by example, enjoy the making as much as they do the thinking, especially at senior and leadership levels.&lt;/p&gt;
&lt;p&gt;We believe in work/life balance. Seriously. We offer a ton of competitive perks, including:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Continuing education opportunities&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Flexible PTO and work-from-home policies&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Private medical care (can be extended to your family)&lt;/li&gt;
&lt;li&gt;Cafeteria system as part of the Benefit platform&lt;/li&gt;
&lt;li&gt;Group life insurance&lt;/li&gt;
&lt;li&gt;Creative TAX-deductible cost&lt;/li&gt;
&lt;li&gt;Other location specific perks (just ask!)&lt;/li&gt;
&lt;/ul&gt;
&lt;h4&gt;&lt;strong&gt;Next Steps&lt;/strong&gt;&lt;/h4&gt;
&lt;p&gt;If Method sounds like the place for you, please submit an application. Also, let us know if you have a presence online with a portfolio, GitHub, Dribbble or other platform.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;* For information on how we process your personal data please see &lt;/em&gt;&lt;a href=&quot;https://www.method.com/privacy/&quot;&gt;&lt;em&gt;Privacy&lt;/em&gt;&lt;/a&gt;&lt;em&gt;.&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;br&gt;&lt;br&gt;&lt;br&gt;&lt;/p&gt;

Senior MLOps Engineer

&lt;p&gt;Method is a global design and engineering consultancy founded in 1999. We believe that innovation should be meaningful, beautiful and human. We craft practical, powerful digital experiences that improve lives and transform businesses. Our teams based in New York, Charlotte, Atlanta, London, Poland, Bengaluru, and remote work with a wide range of organizations in many industries, including Healthcare, Financial Services, Retail, Automotive, Aviation, and Professional Services.&lt;/p&gt;
&lt;p&gt;Method is part of GlobalLogic, a digital product engineering company. GlobalLogic integrates experience design and complex engineering to help our clients imagine what’s possible and accelerate their transition into tomorrow’s digital businesses. GlobalLogic is a Hitachi Group Company.&lt;/p&gt;
&lt;p&gt;We’re seeking a hands-on ML Engineer to join our Data &amp;amp; AI team You will be responsible for designing, developing and optimising machine learning models and LLMs,&amp;nbsp; that drive intelligent automation and decision making across the platform. Working closely with MLOps engineers and data engineers, you will build production-ready ML solutions that span a variety of use cases. Your work will cover the full ML lifecycle, from data preparation and feature engineering to model training, evaluation, and deployment and ensuring scalability, performance, and reliability in the environment.&amp;nbsp;&lt;/p&gt;
&lt;p&gt;Travel for team and client meetings is required, typically up to 15%.&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Responsibilities:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Design, build, and deploy scalable machine learning solutions across a range of use cases, spanning structured and unstructured data.&lt;/li&gt;
&lt;li&gt;Collaborate closely with MLOps Engineers, Data Engineers, and AI Architects to develop robust, production-ready ML pipelines integrated into the broader platform.&lt;/li&gt;
&lt;li&gt;Lead experimentation and model development efforts, selecting appropriate algorithms and evaluation metrics based on business and technical context&lt;/li&gt;
&lt;li&gt;Participate in feature engineering, data preprocessing, and dataset curation with a strong focus on reproducibility and version control.&lt;/li&gt;
&lt;li&gt;Work within an ecosystem that leverages tools such as JupyterHub, MLflow, Kubernetes, and custom workflows for model training and deployment.&lt;/li&gt;
&lt;li&gt;Drive continuous improvements to the model lifecycle through automation, testing, and feedback driven iteration.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Qualifications:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;5+ years of professional experience in data science and ML engineering with a focus on delivering end-to-end solutions.&lt;/li&gt;
&lt;li&gt;Strong proficiency in Python including libraries such as Pandas, Numpy, SKLearn, PyTorch, Tensorflow, Plotly, Seaborn, Flask/Django/FastAPI, etc.&lt;/li&gt;
&lt;li&gt;Able to design models and scripts that integrate smoothly into Argo Workflows or similar ML pipelines.&lt;/li&gt;
&lt;li&gt;Solid understanding of most contemporary machine learning techniques and best practice.&lt;/li&gt;
&lt;li&gt;Have experience using model experimentation &amp;amp; tracking tools such as MLflow (or similar) to log parameters, metrics, and artifacts.&lt;/li&gt;
&lt;li&gt;Proven ability to optimize model inference for speed and cost-effectiveness,&lt;/li&gt;
&lt;li&gt;Able to prepare and export models for on-prem inference, including packaging models and tokenizers.&lt;/li&gt;
&lt;li&gt;Experience with LLM development and prompt engineering: using frameworks like Hugging Face Transformers or similar to evaluate, and serve LLMs. A working knowledge of prompt templating, few shot prompting and exporting these models for on prem inference&lt;/li&gt;
&lt;li&gt;Familiarity with RAG architecture.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Why Method?&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;We look for individuals who are smart, kind and brave. Curious people with a natural ability to think on their feet, learn fast, and develop points-of-view for a constantly changing world find Method an exciting place to work. Our employees are excited to collaborate with dispersed and diverse teams that bring together the best in thinking and making. We champion the ability to listen, and believe that critique and dissonance lead to better outcomes. We believe everyone has the capacity to lead and look for proactive individuals who can take and give direction, lead by example, enjoy the making as much as they do the thinking, especially at senior and leadership levels.&lt;/p&gt;
&lt;p&gt;We believe in work/life balance. Seriously. We offer a ton of competitive perks, including:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Continuing education opportunities&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Flexible PTO and work-from-home policies&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Private medical care (can be extended to your family)&lt;/li&gt;
&lt;li&gt;Cafeteria system as part of the Benefit platform&lt;/li&gt;
&lt;li&gt;Group life insurance&lt;/li&gt;
&lt;li&gt;Creative TAX-deductible cost&lt;/li&gt;
&lt;li&gt;Other location specific perks (just ask!)&lt;/li&gt;
&lt;/ul&gt;
&lt;h4&gt;&lt;strong&gt;Next Steps&lt;/strong&gt;&lt;/h4&gt;
&lt;p&gt;If Method sounds like the place for you, please submit an application. Also, let us know if you have a presence online with a portfolio, GitHub, Dribbble or other platform.&lt;/p&gt;
&lt;p&gt;&lt;br&gt;&lt;em&gt;* For information on how we process your personal data please see &lt;/em&gt;&lt;a href=&quot;https://www.method.com/privacy/&quot;&gt;&lt;em&gt;Privacy&lt;/em&gt;&lt;/a&gt;&lt;em&gt;.&lt;/em&gt;&lt;/p&gt;

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