EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are seeking a skilled Data Science Consultant to join our team and contribute to the delivery of AI and Data Cloud Solutions.
As a member of our team, you will collaborate with data scientists, engineers, and product owners to advance our AI delivery framework. Your expertise in data structures, databases, and ETL tools will help optimize AI processes while ensuring compliance with security and ethical standards. This role provides the opportunity to drive AI innovation in a collaborative and dynamic environment.

REQUIREMENTS

• Bachelor’s or master’s degree in machine learning, computer science, engineering, or related technical fields
• Background in working with teams of AI Scientists, MLOps Engineers, and Product Owners
• Showcase of stakeholder communication skills to understand SAP business processes
• Understanding of agile team practices and methods including Scrum, Kanban, and SAFe
• Proficiency in AI and ML concepts, including MLOps, technologies, and cloud frameworks such as Jupyter, Docker, Kubernetes, Github, SAP BTP, OCR, NLP, and CV
• Expertise in Python libraries and machine learning frameworks such as NumPy, Pandas, Keras, scikit-learn, TensorFlow, PyTorch, and Gensim
• Interest in business process engineering and modeling
• Qualifications in ITIL and ITSM practices
• Capability to take ownership of tasks and demonstrate collaborative teamwork skills

• Drive and implement continuous improvements in the client’s delivery framework
• Apply (SAFe) Agile operational standards and practices to optimize efficiency and AI investment returns
• Act as a subject matter expert in Data Science or Data Engineering
• Collaborate with Product Owners to gather, address, and align their needs and requirements
• Ensure our client’s solutions comply with security, AI ethics, DPP, legal, and works council standards
• Facilitate quarterly planning activities for the client
• Contribute to operational KPIs reporting and drive improvements in these KPIs
• Contribute to the development of reusable and enablement assets relevant to the client’s context
• Educate customers and stakeholders on AI and machine learning concepts