At a Glance
- Tasks: Lead the development of an AI-powered chatbot for a premium health and leisure group.
- Company: Join ELEKS, a leading custom software development company with a dynamic culture.
- Benefits: Challenging tasks, professional growth, and a collaborative team environment.
- Other info: Mentor junior data scientists and work in an Agile/Kanban delivery model.
- Why this job: Make a real impact in the health and fitness industry with cutting-edge AI technology.
- Qualifications: 5+ years in Data Science and experience with GenAI technologies.
The predicted salary is between 36000 - 60000 £ per year.
ELEKS Artificial Intelligence Office is looking for a Senior Data Scientist in Ukraine, Europe or the United Kingdom.
ABOUT PROJECT
Our Client is Europe’s leading health, sport, and leisure group. The organization operates 116 clubs, including 100 in the UK and additional locations across the Republic of Ireland, mainland Europe, and Asia. With billions in annual turnover, the group offers premium sports facilities, tennis courts, gyms, and wellness programs for its members.
REQUIREMENTS
- 5+ years of experience in Data Science
- Experience with GenAI technologies (LLMs, agentic AI, agents, Azure OpenAI API)
- Chatbot experience is a plus
- Experience with recommender engines/systems is a plus
- Advanced level of English
RESPONSIBILITIES
- Lead the development and improvement of an AI-powered chatbot integrated into a membership ecosystem for iOS and Android.
- Ensure scalability, security, and a high-quality user experience in production-ready conversational solutions.
- Design and optimize conversational flows, personalization features, and integration with client documentation systems.
- Collaborate with client stakeholders (Product Owners, Digital Director, consultants) to align chatbot strategy with business goals.
- Mentor and guide junior data scientists within the team.
- Work closely with cross-functional colleagues (Backend, Mobile, QA, BA, DevOps) in an Agile/Kanban delivery model.
WHAT YOU WILL GET WITH ELEKS
- Close cooperation with a customer
- Challenging tasks
- Competence development
- Ability to influence project technologies
- Team of professionals
- Dynamic environment with low level of bureaucracy
ABOUT ELEKS
ELEKS is a custom software development company. We deliver value to our clients, thanks to our expertise and experience gained from working as a software innovation partner since 1991. Our 2000+ professionals located in the Delivery Centers across Eastern Europe and sales offices in Europe and North America, provide our clients with a full range of software engineering services. These include product development, QA, R&D, design, technology consulting and dedicated teams.
(Fitness, UK), Senior Data Scientist, TSCM-41583 employer: Eleks
ELEKS is an exceptional employer, offering a dynamic work environment where innovation thrives and professional growth is encouraged. As a Senior Data Scientist, you will collaborate closely with a team of experts in the health, sport, and leisure sector, contributing to cutting-edge AI solutions that enhance user experiences across premium facilities. With a focus on competence development and minimal bureaucracy, ELEKS empowers its employees to influence project technologies and drive meaningful change in the industry.
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We think this is how you could land (Fitness, UK), Senior Data Scientist, TSCM-41583
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We think you need these skills to ace (Fitness, UK), Senior Data Scientist, TSCM-41583
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
