Time since we first saw it
Day 12
Similar jobs usually come down between day 4 and day 77.
From 51 similar postings that came down. Coming down is not always a hire.
Lead Data Scientist with AI and Cloud
Reads like an AI Engineer role: building products on existing AI models.
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingBuild AI agents with LLM frameworks, including prompts, tool integration and memory
Connect AI agents to internal data sources, APIs and enterprise systems
Create full data applications and dashboards using Python and React/JavaScript
Develop and maintain ETL/ELT pipelines for AI and analytics data
Help maintain CI/CD pipelines for AI agents and data applications
From the employer’s posting
Build AI Agents using modern LLM frameworks
Connect AI Agents to internal data sources, APIs, and enterprise systems
Create complete data applications, tools, and interfaces using Python and React/JavaScript
Develop and maintain ETL/ELT pipelines that process and deliver reliable data for AI and analytics purposes
Assist in maintaining CI/CD pipelines for AI agents and data applications
What you’ll bring
All qualificationsCore experience
- At least 5 years in AI, ML or data engineering roles, with production delivery
- Strong Python proficiency
- Advanced React, JavaScript and TypeScript for front-end work
- Practical Power BI skills in data modeling and reporting
- English at B2 level or above
Qualification wording
At least 5 years of experience in related positions (AI Engineer, ML Engineer, Data Engineer), with practical experience delivering AI or data solutions into production
Strong proficiency in Python
Advanced skills in React, JavaScript, and TypeScript for front-end development
Practical experience with Power BI, covering data modeling and report creation
English language skills at a B2 level or above
Posting record
Report an errorActively hiringFirst seen by us 12 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 1, 202612 days ago
- Recorded sightings
- 14
- Last seen by us
- Nov 14, 2026
- Employer says posted
- Oct 30, 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
EPAM Systems is hiring
673 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee 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.
- JavaScript
- Python
- SQL
- TypeScript
- Power BI
- React
Where the posting names them
A top oil and gas company is looking for a motivated and talented Lead Data Scientist with expertise in AI and Cloud technologies. In this role, you will collaborate with Software Engineers, Machine Learning Engineers, Data Engineers, and business stakeholders to understand requirements and convert them into scalable, dependable AI-driven solutions. Your work will include building AI Agents, full-scale data applications, and the internal platform supporting them, as well as the data pipelines, cloud infrastructure, and automation processes behind them. Responsibilities Build AI Agents using modern LLM frameworks to support analytics assistance, automation, and decision-making, covering prompt engineering, tool integration, memory handling, and orchestration logic for dependable agent performance Connect AI Agents to internal data sources, APIs, and enterprise systems Help build the internal platform used to host, deploy, and monitor AI Agents, while creating reusable modules for orchestration, evaluation, observability, and governance Create complete data applications, tools, and interfaces using Python and React/JavaScript, including APIs, dashboards, and interactive tools that deliver advanced analytics to business users Build advanced analytical models and Power BI outputs, while establishing standards and templates that promote consistency and reusability Develop and maintain ETL/ELT pipelines that process and deliver reliable data for AI and analytics purposes Implement and manage AI solutions across cloud and hybrid environments, leveraging managed AI, compute, and storage resources effectively Assist in maintaining CI/CD pipelines for AI agents and data applications Engage with internal stakeholders and business teams to collect requirements, gather feedback, and encourage adoption of AI solutions Requirements At least 5 years of experience in related positions (AI Engineer, ML Engineer, Data Engineer), with practical experience delivering AI or data solutions into production Strong proficiency in Python Advanced skills in React, JavaScript, and TypeScript for front-end development Capability to write efficient SQL queries for relational and analytical databases Hands-on experience developing and consuming REST APIs, using Git, and applying modern software engineering standards Solid grasp of data architecture principles, including data warehousing, data lakes, and ETL/ELT processes Practical experience with Power BI, covering data modeling and report creation English language skills at a B2 level or above Nice to have Knowledge of LLM and agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or AutoGen Exposure to vector database technologies
Your next step
Complete your application on careers.epam.com. The employer’s form will show what is required.
Already applied? Track this application
Has EPAM Systems posted this job before?
Yes. We’ve followed one other Lead Data Scientist with AI and Cloud job there since November 2026. It is still up.
About EPAM Systems
- People
- About 3,012 in 2024.Benefit plan filings (Form 5500)
- Company
- Listed as EPAM.
- H-1B visas
- 21 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 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 AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
Job description
A top oil and gas company is looking for a motivated and talented Lead Data Scientist with expertise in AI and Cloud technologies. In this role, you will collaborate with Software Engineers, Machine Learning Engineers, Data Engineers, and business stakeholders to understand requirements and convert them into scalable, dependable AI-driven solutions. Your work will include building AI Agents, full-scale data applications, and the internal platform supporting them, as well as the data pipelines, cloud infrastructure, and automation processes behind them. Responsibilities Build AI Agents using modern LLM frameworks to support analytics assistance, automation, and decision-making, covering prompt engineering, tool integration, memory handling, and orchestration logic for dependable agent performance Connect AI Agents to internal data sources, APIs, and enterprise systems Help build the internal platform used to host, deploy, and monitor AI Agents, while creating reusable modules for orchestration, evaluation, observability, and governance Create complete data applications, tools, and interfaces using Python and React/JavaScript, including APIs, dashboards, and interactive tools that deliver advanced analytics to business users Build advanced analytical models and Power BI outputs, while establishing standards and templates that promote consistency and reusability Develop and maintain ETL/ELT pipelines that process and deliver reliable data for AI and analytics purposes Implement and manage AI solutions across cloud and hybrid environments, leveraging managed AI, compute, and storage resources effectively Assist in maintaining CI/CD pipelines for AI agents and data applications Engage with internal stakeholders and business teams to collect requirements, gather feedback, and encourage adoption of AI solutions Requirements At least 5 years of experience in related positions (AI Engineer, ML Engineer, Data Engineer), with practical experience delivering AI or data solutions into production Strong proficiency in Python Advanced skills in React, JavaScript, and TypeScript for front-end development Capability to write efficient SQL queries for relational and analytical databases Hands-on experience developing and consuming REST APIs, using Git, and applying modern software engineering standards Solid grasp of data architecture principles, including data warehousing, data lakes, and ETL/ELT processes Practical experience with Power BI, covering data modeling and report creation English language skills at a B2 level or above Nice to have Knowledge of LLM and agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or AutoGen Exposure to vector database technologies
Source details
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- Location & working pattern
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- Work authorization
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