3 days ago Be among the first 25 applicants 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 Data Science Consultant to join our remote team. This role is ideal for someone who is passionate about leveraging data to drive business solutions and is eager to lead projects from conception to completion. As a Data Science Consultant, you will be instrumental in transforming data into actionable insights that inform strategic decisions. Responsibilities: Lead the design, development, and deployment of ML/AI solutions, providing technical leadership and strategic expertise Design and implement responsible AI systems, aligning solutions with client needs through thorough planning and measurement strategies Promote AI adoption across different verticals within the organization, envisioning new products and solutions Understand client business challenges and articulate how ML/AI solutions can address these challenges Collaborate with data scientists and engineers, leading teams with technical expertise and mentorship Stay updated with advancements in ML/AI technologies, recommending innovative approaches within regulatory frameworks Serve as a liaison among business, legal, and technology stakeholders, ensuring smooth transitions and clear communications Develop ML solutions, scope engagements, and lead project teams from sales to delivery Build and maintain strong client relationships, ensuring satisfaction and effective communication Engage with executive-level stakeholders to drive AI adoption across enterprises Support sales and pre-sales activities, including opportunity assessment, RFP responses, and proposal presentations Requirements: Minimum 8 years of IT experience with significant expertise in Data Science Over 3 years in leadership roles such as Lead, Manager, or Architect within Agile or hybrid environments Experience in managing teams of at least 20 members Participation in at least 5 full-cycle projects or product launches Extensive leadership experience in Data Analytics, Machine Learning, and AI Proven ability to design and implement ML/AI solutions Deep knowledge of Machine Learning, including deep learning, statistics, and various ML models Ability to engage and influence senior stakeholders for project support or funding Strong ability to communicate complex technical concepts to diverse audiences Proficiency in Python and ML frameworks such as PyTorch or TensorFlow Skilled in translating complex business requirements into practical ML/AI solutions Experience in regulated industries or regulatory technology functions Cloud platform experience (AWS, Azure, or GCP) Advanced level of English proficiency for effective communication and relationship building Nice to have: Additional certifications in Data Science or Machine Learning Experience in public speaking or conducting workshops on AI-related topics We offer: International projects with top brands Work with global teams of highly skilled, diverse peers Healthcare benefits Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Seniority level Mid-Senior level Employment type Full-time Job function Information Technology, Engineering, and Research Industries Software Development, IT Services and IT Consulting, and Technology, Information and Internet #J-18808-Ljbffr