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Data Science Consultant

Madfish

Madfish

Data Science
Ukraine
Posted on Oct 10, 2025

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)