Data Science Consultant
10 Oct 2025
Ukraine
Verified by Turrior
Content + Source + Freshness • 11 Dec 2025 • 95% confidence
77 / 100
Offer value
Moderate value due to significant technical and leadership requirements with opportunities in AI and data science but could limit applicants due to extensive criteria.
- Focus on leadership and innovation within AI projects.
- Flexible remote work option limited to Ukraine.
- Strong opportunities for career growth in the data science field.
Pros
- Engagement with advanced data science and AI projects.
- Flexible remote working option within Ukraine.
- Leadership opportunity in guiding AI initiatives.
Cons
- Complexity of technical requirements may narrow the applicant pool.
- Role demands may create a challenging work environment.
- No specific salary details available.
Who it's for
Senior / Manager • Remote (within Ukraine only)
Good fit
- Senior data scientists with a focus on AI and project leadership.
- Individuals eager to innovate in data-driven solutions.
- Candidates with a robust consulting background in technology.
Not recommended for
- Entry-level professionals lacking experience in data science.
- Those not looking for leadership or team management roles.
- Individuals uninterested in the complexities of AI projects.
Motivation fit
Desire to lead AI and data science initiatives.Interest in tackling business challenges with innovative solutions.Passion for data and technology-driven projects.
Key skills
Data Science ExpertiseAI and ML ProgrammingLeadership and Management SkillsBusiness Strategy in Data Usage
Score: 77/100 AI verified analysis
About the job
This role is well-regarded for leaders with a strong mathematics background and a desire to work hands-on with Data Science, AI, ML and could be the perfect opportunity to join EPAM as a Senior Manager - Data Science Consultant!
Kindly note that this role supports remote work, but only from within Ukraine.
#LI-DNI#LI-VC3
Technologies
- Python, Databricks, Azure ML, Big Data (Hadoop, Spark, Hive, etc.), AWS, Docker, Kubernetes, DB (Pl SQL, HQL, Mongo), Google (Vertex AI) or similar
Responsibilities
- Discover, envision and land Data Science, AI and Machine Learning opportunities alongside EPAM teams & clients
- Lead cross-functional EPAM and/or EPAM clients` teams through the journey of understanding business challenges and defining solutions leveraging AI, Data Science, Machine Learning and MLOps
- Work with clients to deliver AI Products which provide value to end-users
- Participate and drive EPAM competencies development, work on new EPAM offerings in AI, Data Science, ML and MLE space, as well as work on refining existing offerings
- Bring your creative engineering mind to deliver real-life practical applications of Machine Learning
- Work closely with DevOps practice on infrastructure and release planning
Requirements
- Consulting: Experience in exploring the business problem and converging it to applied AI technical solutions; expertise in pre-sales, solution definition activities
- Data Science: 3+ years of hands-on experience with core Data Science, as well as knowledge of one of the advanced Data Science and AI domains (Computer Vision, NLP, Advanced Analytics etc.)
- Engineering: Experience delivering applied AI from concept to production, familiarity, and experience with MLOps, Data, design of Data Analytics platforms, data engineering, and technical leadership
- Leadership: Track record of delivering complex AI-empowered and/or AI-empowering programs to the clients in a leadership position. Experience managing and growing the team to scale up Data Science, AI &ML capability is a big plus
- Excellent communication skills (active listening, writing and presentation), drive for problem solving and creative solutions, high EQ
Nice to have
- One or more business domains expertise (e.g. CPG, Retail, Financial Services, Insurance, Healthcare/ Life Science)
