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 looking for an experienced Data Science Consultant to join our remote team. This position is perfect for professionals passionate about using data to solve complex business problems and skilled in overseeing projects from inception to completion. As a Data Science Consultant, you will play a critical role in turning data insights into strategic decisions that shape organizational success.
Responsibilities
- Lead the creation, development, and implementation of ML/AI solutions by providing technical leadership and strategic guidance
- Design and deploy ethical AI systems, tailoring strategies to fit client requirements through detailed planning and evaluation programs
- Champion AI integration across various departments, introducing innovative products and solutions
- Analyze client business obstacles and demonstrate how ML/AI approaches can effectively address those challenges
- Collaborate closely with data scientists and engineers, offering leadership and mentorship to strengthen team expertise
- Research emerging trends in ML/AI technology, advocating for forward-looking practices in alignment with regulatory standards
- Facilitate communication across business, legal, and tech teams to ensure seamless project transitions
- Develop machine learning solutions while managing project scopes and team direction from the sales phase to project execution
- Build and sustain robust client relationships, ensuring consistent communication and satisfaction
- Engage senior-level client stakeholders to foster enthusiasm for AI adoption across their organizations
- Support sales and pre-sales functions by evaluating data opportunities, addressing RFP requirements, and preparing proposal presentations
Requirements
- 8+ years of experience in IT, with a robust background in Data Science
- 3+ years of experience in leadership roles such as Lead, Manager, or Architect within Agile or blended environments
- Management experience with teams of 20 or more members
- Completion of 5+ full project cycles or major product rollouts
- Extensive leadership expertise in Data Analytics, Machine Learning, and AI
- Proven capability to design and implement ML/AI solutions
- Knowledge of Machine Learning, including deep learning, statistical methods, and various ML models
- Competency in influencing senior stakeholders for securing project resources or funding
- Strong communication skills suitable for explaining complex technical concepts to diverse audiences
- Proficiency in Python and ML frameworks like PyTorch or TensorFlow
- Flexibility to use complex business requirements to develop practical ML/AI solutions
- Familiarity with operations in highly regulated industries or reg-tech roles
- Understanding of cloud platforms (AWS, Azure, or GCP)
- Advanced proficiency in English to support clear communication and relationship-building
Nice to have
- Qualifications in Data Science or Machine Learning through additional certifications
- Showcase of public speaking experience or leading workshops on AI-related subjects
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