Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 6 and day 70.
At Endava, jobs usually come down by about day 32.
From 4,444 similar postings that came down, and 85 of Endava’s. Coming down is not always a hire.
Senior Data Science/AI Specialist
Timișoara, TM, Romania
Live, first seen by us today- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- 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 postingYou will work closely with clients to understand their business needs, develop innovative AI solutions, and provide actionable insights that drive strategic decision-making.
Design & Build Data Science & AI Projects: Design and implement data science and AI projects, ensuring they meet client objectives and deliver business value.
From the employer’s posting
Job Description We are seeking a highly skilled and motivated Senior Data Scientist with expertise in AI to join our Data&AI team. The ideal candidate will possess a strong background in data science, AI technologies, and advanced analytics. You will work closely with clients to understand their business needs, develop innovative AI solutions, and provide actionable insights that drive strategic decision-making. Key Responsibilities:
Client Collaboration: Work closely with clients to understand their business objectives, data requirements, and AI & DS needs. Design & Build Data Science & AI Projects: Design and implement data science and AI projects, ensuring they meet client objectives and deliver business value. Data Analysis and Modeling: Develop and apply advanced statistical models, machine learning algorithms, and AI techniques to solve complex business problems. Ability to adapt to the latest AI policies according to different AI systems risk levels and to make AI systems decisions transparent and interpretable.
What you’ll bring
All qualificationsCore experience
- Proficiency in Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with BI tools such as Tableau, Power BI, or similar for data visualization.
- Experience in managing a broad range of AI products and solutions as well as Generative AI (GenAI) solutions.
- Knowledge of cloud hosting environments, particularly AWS, Azure, and other relevant platforms.
- Knowledge of data warehousing concepts and ETL processes.
- Experience in contributing to pre-sales and business development activities.
Preferred experience
- Experience with cloud-based AI/ML platforms (e.g., AWS SageMaker, Azure ML) is a plus.
Qualification wording
Proficiency in Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch).
Experience with BI tools such as Tableau, Power BI, or similar for data visualization.
Experience in managing a broad range of AI products and solutions as well as Generative AI (GenAI) solutions.
Knowledge of cloud hosting environments, particularly AWS, Azure, and other relevant platforms.
Knowledge of data warehousing concepts and ETL processes.
Experience in contributing to pre-sales and business development activities.
Experience with cloud-based AI/ML platforms (e.g., AWS SageMaker, Azure ML) is a plus.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Nov 5, 2026today
- Recorded sightings
- 1
- Reposted
- once since Jul 27, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Endava is hiring
66 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is picking up
- Takes jobs down at a usual pace
- 35% of open jobs were reposted
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
- SQL
- AWS
- Azure
- Power BI
- SageMaker
- Tableau
- PyTorch
- TensorFlow
Where the posting names them
- More than 5 years of experience in data science, AI, or related fields. - Proficiency in Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch). - Experience with BI tools such as Tableau, Power BI, or similar for data visualization.
- Data Analysis and Modeling: Develop and apply advanced statistical models, machine learning algorithms, and AI techniques to solve complex business problems. Ability to adapt to the latest AI policies according to different AI systems risk levels and to make AI systems decisions transparent and interpretable. - Cloud Hosting Expertise: Utilize knowledge of cloud hosting environments, including AWS, Azure, and other relevant platforms, to deploy and manage AI & DS solutions effectively. - Data Integration: Integrate and analyze data from multiple sources to create unified, accurate datasets for AI & DS modeling and analysis.
- Experience in managing a broad range of AI products and solutions as well as Generative AI (GenAI) solutions. - Knowledge of cloud hosting environments, particularly AWS, Azure, and other relevant platforms. - Knowledge of data warehousing concepts and ETL processes.
- Certifications in AI/ML, data science, or cloud platforms are a plus. - Experience with cloud-based AI/ML platforms (e.g., AWS SageMaker, Azure ML) is a plus. - Business proficiency level in English is a must.
- Proficiency in Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch). - Experience with BI tools such as Tableau, Power BI, or similar for data visualization. - Strong background in AI/ML techniques, including natural language processing, computer vision, and predictive analytics.
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Applying through SmartRecruiters
- Uploading your resume fills in the application form for you, so check what it filled before you send.
Already applied? Track this application
Has Endava posted this job before?
Yes. We’ve followed 9 other Senior Data Science/AI Specialist jobs there since May 2026. 5 came down, usually after about 180 days. 4 are still up.
If this one keeps the same pace, it may come down around May 4.
Large employers often post one title for several teams, so these can be separate openings.
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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
Job Description
We are seeking a highly skilled and motivated Senior Data Scientist with expertise in AI to join our Data&AI team. The ideal candidate will possess a strong background in data science, AI technologies, and advanced analytics. You will work closely with clients to understand their business needs, develop innovative AI solutions, and provide actionable insights that drive strategic decision-making.
Key Responsibilities:
- Client Collaboration: Work closely with clients to understand their business objectives, data requirements, and AI & DS needs.
- Design & Build Data Science & AI Projects: Design and implement data science and AI projects, ensuring they meet client objectives and deliver business value.
- Data Analysis and Modeling: Develop and apply advanced statistical models, machine learning algorithms, and AI techniques to solve complex business problems. Ability to adapt to the latest AI policies according to different AI systems risk levels and to make AI systems decisions transparent and interpretable.
- Cloud Hosting Expertise: Utilize knowledge of cloud hosting environments, including AWS, Azure, and other relevant platforms, to deploy and manage AI & DS solutions effectively.
- Data Integration: Integrate and analyze data from multiple sources to create unified, accurate datasets for AI & DS modeling and analysis.
- Data Visualization: Create visually appealing and interactive dashboards and visualizations to present AI & DS-driven insights in a comprehensible manner.
- Stakeholder Communication: Communicate complex AI & DS findings to non-technical stakeholders effectively.
- Pre-Sales and Business Development: Collaborate with the sales team to identify opportunities, contribute to proposal development, and present AI & DS solutions to prospective clients.
Qualifications
- More than 5 years of experience in data science, AI, or related fields.
- Proficiency in Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with BI tools such as Tableau, Power BI, or similar for data visualization.
- Strong background in AI/ML techniques, including natural language processing, computer vision, and predictive analytics.
- Experience in managing a broad range of AI products and solutions as well as Generative AI (GenAI) solutions.
- Knowledge of cloud hosting environments, particularly AWS, Azure, and other relevant platforms.
- Knowledge of data warehousing concepts and ETL processes.
- Excellent problem-solving and analytical skills.
- Effective communication and client-facing skills.
- Experience in contributing to pre-sales and business development activities.
- Certifications in AI/ML, data science, or cloud platforms are a plus.
- Experience with cloud-based AI/ML platforms (e.g., AWS SageMaker, Azure ML) is a plus.
- Business proficiency level in English is a must.
Additional Information
At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.
Company Description
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact - be part of a global shift by doing work that matters.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Timișoara, TM, Romania
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.