Lead Data Scientist with AI and Cloud

EPAM Systems; Turkey; On-site; TRY 4,478,000 - 6,468,000; Full time

Benefits offered by this job

Private health insurance

English courses and learning platforms

Continuous upskilling and development

Job summary

EPAM Systems is seeking a Lead Data Scientist to lead AI-driven analytics solutions in a cloud-enabled environment. You will collaborate with Software Engineers, ML Engineers, Data Engineers, and business stakeholders to translate requirements into scalable AI-powered products.

Your role includes building AI Agents, data applications, and the platform that supports them. You will design and implement data pipelines, ETL/ELT processes, and cloud infrastructure, while driving governance,

Qualifications

• At least 5 years of experience in AI/ML/Data roles delivering production solutions.
• Strong Python proficiency and software engineering practices.
• Experience with data platforms, data lakes/warehouses.
• Experience with Power BI for analytics delivery.
• English at B2 level or above.

Responsibilities

• Build AI Agents using modern LLM frameworks for analytics, automation, and decision-making.
• Connect AI Agents to internal data sources, APIs, and enterprise systems.
• Help build the internal platform to host, deploy, and monitor AI Agents.
• Create data applications, tools, and interfaces using Python and React/JS, including APIs and dashboards.
• Develop and maintain ETL/ELT pipelines for AI and analytics data.
• Implement and manage AI solutions across cloud and hybrid environments.

Skills

Python

React/JS/TS

SQL

REST APIs

Git

Data warehousing

ETL/ELT

Power BI

English B2

LLM frameworks

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

AutoGen

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.ResponsibilitiesBuild 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 performanceConnect AI Agents to internal data sources, APIs, and enterprise systemsHelp build the internal platform used to host, deploy, and monitor AI Agents, while creating reusable modules for orchestration, evaluation, observability, and governanceCreate complete data applications, tools, and interfaces using Python and React/JavaScript, including APIs, dashboards, and interactive tools that deliver advanced analytics to business usersBuild advanced analytical models and Power BI outputs, while establishing standards and templates that promote consistency and reusabilityDevelop and maintain ETL/ELT pipelines that process and deliver reliable data for AI and analytics purposesImplement and manage AI solutions across cloud and hybrid environments, leveraging managed AI, compute, and storage resources effectivelyAssist in maintaining CI/CD pipelines for AI agents and data applicationsEngage with internal stakeholders and business teams to collect requirements, gather feedback, and encourage adoption of AI solutionsRequirementsAt least 5 years of experience in related positions (AI Engineer, ML Engineer, Data Engineer), with practical experience delivering AI or data solutions into productionStrong proficiency in PythonAdvanced skills in React, JavaScript, and TypeScript for front-end developmentCapability to write efficient SQL queries for relational and analytical databasesHands-on experience developing and consuming REST APIs, using Git, and applying modern software engineering standardsSolid grasp of data architecture principles, including data warehousing, data lakes, and ETL/ELT processesPractical experience with Power BI, covering data modeling and report creationEnglish language skills at a B2 level or aboveNice to haveKnowledge of LLM and agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or AutoGenExposure to vector database technologiesWe offerCONTINUOUS UPSKILLING, LEARNING & DEVELOPMENTDiversity of tasks and projectsAssessment center for objective review of competency levelPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal coursesEnglish courses taught by certified teachersCORPORATE BENEFITSExtra leave daysReferral bonusesCOMPENSATION PACKAGECompetitive compensation paid in USDRegular salary and performance reviewsMEDICAL & HEALTHCAREPrivate health insuranceWell-being eventsWORKING ENVIRONMENTRecreation areas and kitchensTea, coffee and snacksSports equipment and game consolesIT EquipmentMicrosoft’s Software Assurance Home Use Program (HUP)Please note that our Talent Attraction Team reviews applications and CVs submitted in English.EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.