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Senior Data Scientist

Reads like a ML Engineer role: putting models into production.

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Lead end-to-end AI product development from ideation to launch

  • Design, deploy and monitor machine learning models in production

  • Develop and fine-tune generative AI models and LLMs for business applications

  • Build scalable, automated data pipelines for batch and real-time analytics

  • Communicate findings to technical and non-technical stakeholders

From the employer’s posting
Lead the end-to-end product development lifecycle, from ideation to launch
Design, deploy, and monitor machine learning models in production using MLOps tools and cloud-native services.
Develop and fine-tune Generative AI models and LLMs, integrating them into business applications.
Build scalable, automated data pipelines for batch and real-time analytics
Communicate complex findings to both technical and non-technical stakeholders through visualizations, reports, and presentations.
Education & alternatives
What we need from you: - Bachelor's degree from an accredited college or university, and/or equivalent relevant experience. MS, MBA or CFA designation is a plus. - A minimum of 5 years of experience in data science, machine learning, or a related field. Wealth management industry related experience is a plus.

Posting record

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Status in our records
Live
First seen by us
Aug 13, 202682 days ago
Recorded sightings
154
Last seen by us
Nov 4, 2026
Employer says posted
Mar 31, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 82

Up longer than most. Similar jobs usually come down between day 6 and day 69.

From 4,301 similar postings that came down. Coming down is not always a hire.

SEI Investments Company is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • R
  • SQL
  • AWS
  • Azure
  • dbt
  • Docker
  • GCP
  • Kafka
  • Kubernetes
  • MLflow
  • Power BI
  • Spark
  • Tableau
  • Airflow
  • Matplotlib
  • pandas
  • PyTorch
  • scikit-learn
  • TensorFlow
Where the posting names them
- Knowledge of data privacy regulations and responsible AI practices. - Proficiency in programming languages such as Python or R, and experience with machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn) - Strong experience with data manipulation tools (e.g., SQL, pandas).
- Proficiency in programming languages such as Python or R, and experience with machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn) - Strong experience with data manipulation tools (e.g., SQL, pandas). - Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib).
- Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib). - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps best practices. - Detail oriented with the ability to organize and prioritize tasks to ensure timely delivery of the projects
- Strong understanding of AI technologies, including machine learning, natural language processing, and Generative AI. - Experience with MLOps platforms (MLflow, Kubeflow, Vertex AI, Azure ML), containerization (Docker), and orchestration (Kubernetes). - Hands-on experience with Generative AI, LLMs, and prompt engineering.
- Stay up-to-date with the latest advancements in artificial intelligence, machine learning, and relevant technologies. - Build scalable, automated data pipelines for batch and real-time analytics using tools like Airflow, Spark, or dbt. - Ensure compliance with data privacy and security standards in all AI solutions.
- Hands-on experience with Generative AI, LLMs, and prompt engineering. - Familiarity with modern data engineering tools (Airflow, Spark, Kafka, dbt). - Knowledge of data privacy regulations and responsible AI practices.
- Strong experience with data manipulation tools (e.g., SQL, pandas). - Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib). - Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps best practices.

Your next step

Complete your application on seic.wd1.myworkdayjobs.com. The employer’s form will show what is required.

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

SEI is seeking a highly skilled and experienced Senior Data Scientist to join our enterprise Artificial Intelligence team. In this role, you will lead data-driven initiatives, develop advanced models, and deliver actionable insights that directly impact our business strategy. You will work closely with cross-functional teams, mentoring junior data scientists and contributing to the overall Artificial Intelligence vision at SEI. 

What you will do:

  • Lead the end-to-end product development lifecycle, from ideation to launch, ensuring the successful delivery of AI products.
  • Design, deploy, and monitor machine learning models in production using MLOps tools and cloud-native services.
  • Develop and fine-tune Generative AI models and LLMs, integrating them into business applications.
  • Clean, preprocess, and analyze large datasets to extract meaningful patterns, trends, and insights.
  • Conduct thorough exploratory data analysis to discover hidden insights and potential opportunities.
  • Build and maintain data pipelines for efficient data collection, storage, and processing.
  • Develop and implement machine learning algorithms and models for predictive and prescriptive analytics.
  • Communicate complex findings to both technical and non-technical stakeholders through visualizations, reports, and presentations.
  • Stay up-to-date with the latest advancements in artificial intelligence, machine learning, and relevant technologies.
  • Build scalable, automated data pipelines for batch and real-time analytics using tools like Airflow, Spark, or dbt.
  • Ensure compliance with data privacy and security standards in all AI solutions.

What we need from you:

  • Bachelor's degree from an accredited college or university, and/or equivalent relevant experience. MS, MBA or CFA designation is a plus.
  • A minimum of 5 years of experience in data science, machine learning, or a related field. Wealth management industry related experience is a plus.
  • Strong understanding of AI technologies, including machine learning, natural language processing, and Generative AI.
  • Experience with MLOps platforms (MLflow, Kubeflow, Vertex AI, Azure ML), containerization (Docker), and orchestration (Kubernetes).
  • Hands-on experience with Generative AI, LLMs, and prompt engineering.
  • Familiarity with modern data engineering tools (Airflow, Spark, Kafka, dbt).
  • Knowledge of data privacy regulations and responsible AI practices.
  • Proficiency in programming languages such as Python or R, and experience with machine learning libraries/frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
  • Strong experience with data manipulation tools (e.g., SQL, pandas).
  • Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib).
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and MLOps best practices.
  • Detail oriented with the ability to organize and prioritize tasks to ensure timely delivery of the projects

What we would like from you:

  • Proven decision-making and problem-solving skills.
  • Exceptional oral and written communication skills, including understanding of technical writing requirements
  • Ability to work comfortably with a wide range of people and skill sets, including data scientists, architects, project managers, analysts, designers and developers.
  • Experience interfacing with management and vendors.
  • Understand overall vision and how Product fits with that vision.
  • Excellent analytical, problem-solving, and decision-making skills. Ability to translate complex business requirements into actionable product features
  • Certifications in cloud ML, data engineering, or AI.
  • Someone who will embody our SEI Values of courage, integrity, collaboration, inclusion, connection and fun.  Please see our website for more information.  https://www.seic.com/

SEI’s competitive advantage

To help you stay energized, engaged and inspired, we offer a wide range of benefits including comprehensive care for your physical and mental well-being, hybrid working environment and a work-life balance that enables you to relax, recharge and be there for the people you care about.

Our benefits include Medical Insurance, Term Life Insurance, Voluntary Provident Fund, 10 Predefined Holidays and 2 Floating Holidays in a year, Paid Time off and more.

We are a technology and asset management company delivering on our promise of building brave futures—for our clients, our communities, and ourselves.  Come build your brave future at SEI. 

SEI is an Equal Opportunity Employer and so much more…

After 50 years in business, SEI is a leading global provider of investment processing, investment management, and investment operations solutions. Reflecting our experience within financial services and financial technology our offices encompass an open floor plan and numerous art installations designed to encourage innovation and creativity in our workforce. We recognize that our people are our most valuable asset and that a healthy, happy, and motivated workforce is key to our continued growth. At SEI, we’re (literally) invested in your success. We offer our employees paid parental leave, paid volunteer days, professional development assistance and access to thriving employee networks.

AI Acceptable Use in the application and interview process:

SEI acknowledges the growing integration of artificial intelligence (AI) tools into individuals’ personal and professional lives.  If you intend to incorporate the use of any AI tools at any stage of the application and/or interview process, please ensure you have reviewed and adhere to our AI use guidelines. 

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Location & working pattern

IND-Hyderabad-GCC

SEI’s competitive advantage To help you stay energized, engaged and inspired, we offer a wide range of benefits including comprehensive care for your physical and mental well-being, hybrid working environment and a work-life balance that enables you to relax, recharge and be there for the people you care about. Our benefits include Medical Insurance, Term Life Insurance, Voluntary Provident Fund, 10 Predefined Holidays and 2 Floating Holidays in a year, Paid Time off and more.
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