Senior Data Scientist with AI and Cloud

We are seeking a driven and highly skilled Senior Data Scientist with AI and Cloud expertise for a leading oil and gas company. You will work alongside Software Engineers, Machine Learning Engineers, Data Engineers and business stakeholders to understand their needs and translate them into reliable, scalable AI-powered solutions. You will contribute to developing AI Agents, end-to-end data applications and the internal platform that hosts them, along with the data pipelines, cloud infrastructure and automation that support them.

Unlock the potential of remote work in Kazakhstan, giving you the flexibility to work from home or access our offices in Astana, Almaty or Karaganda. Responsibilities

• Develop AI Agents on modern LLM frameworks for analytics assistants, automation and decision support, including engineering prompts, tools, memory and orchestration logic for reliable agent behavior
• Integrate AI Agents with internal data sources, APIs and enterprise applications
• Contribute to the internal platform that hosts, deploys and monitors AI Agents, and build reusable components for orchestration, evaluation, observability and governance
• Design and develop end-to-end data applications, tools and interfaces in Python and React / JavaScript, including APIs, dashboards and interactive interfaces that bring advanced analytics to business users
• Develop advanced analytical models and Power BI deliverables, and define standards and templates that improve consistency and reuse
• Design and maintain ETL/ELT pipelines that prepare, transform and deliver high-quality data for AI and analytics workloads
• Deploy and operate AI solutions on cloud and hybrid infrastructure, making effective use of managed AI, compute and storage services
• Support CI/CD pipelines for AI agents and data applications
• Communicate with internal customers and business teams to gather requirements and feedback and to support adoption of AI solutions

Requirements

• 2-4 years of experience in similar roles (AI Engineer, ML Engineer, Data Engineer), including hands-on experience delivering AI or data solutions to production
• Proficiency in Python
• Expertise in React, JavaScript and TypeScript for frontend development
• Skills in writing performant SQL on relational and analytical databases
• Experience building and consuming REST APIs, working with Git and following modern software engineering practices
• Understanding of data architecture concepts, including data warehousing, data lakes and ETL/ELT
• Experience with Power BI, including data modeling and report development
• English proficiency at B2 level or higher

Nice to have

• Familiarity with LLM and agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel or AutoGen
• Experience with vector databases

We offer

• We connect like-minded people:

• Delivering innovative solutions to industry leaders, making a global impact

• Enjoyable working environment, whether it is the vibrant office or the comfort of your own home

• Opportunity to work abroad for up to two months per year

• Relocation opportunities within our offices in 55+ countries

• Corporate and social events

• We invest in your growth:

• Leadership development, career advising, soft skills and well-being programs

• Certifications, including GCP, Azure and AWS

• Unlimited access to EPAM's internal learning database

• Free English classes with certified teachers

• Discounts in local language schools, including online courses for the Kazakh language

• We cover it all:

• Participation in the Employee Stock Purchase Plan

• Monetary bonuses for engaging in the referral program

• Medical & family care package

• Six trust days per year (sick leave without a medical certificate)

• Coverage of psychology sessions of your choice

• Benefits package (sports activities, a variety of stores and services)

• Housing support program: preferential mortgage access via Otbasy Bank partnership

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.