Data Scientist

the opportunity to develop deep expertise in experimentation and A/B testing across a sophisticated internal platform. As the platform evolves, the role will expand into more advanced statistical and machine learning work that delivers value across the business. Key Responsibilities Define statistical logic, calculation methods, and detailed requirements for experimentation platform features. Prototype statistical methodologies and analyses in Python before implementation. Partner closely with Data Engineers as they develop and improve the experimentation platform. Perform thorough data and feature QA by independently calculating results and comparing them with platform outputs. Investigate discrepancies, identify root causes, and help ensure metrics and analyses are accurate and reliable. Explore opportunities to automate QA processes and improve the efficiency and quality of validation. Build a deep understanding of experimentation methodologies, including A/B testing, monitoring, segmentation, and analysis. Collaborate with BI, Machine Learning, product teams, and other stakeholders to understand requests and shape effective solutions. Contribute to future statistical, algorithmic, and machine learning initiatives as the team’s priorities evolve. Skills, Knowledge and Expertise 3-5 years of professional experience as a Data Scientist or in a closely related role Strong Python skills, including the ability to prototype analyses and write clear, reliable scripts. Solid knowledge of statistics and standard statistical methodologies. Practical understanding of experimentation and A/B testing, including how metrics and results should be calculated and validated. Familiarity with machine learning methods and the ability to apply relevant approaches when needed. Excellent attention to detail and a disciplined approach to repetitive or methodical QA work. Strong problem-solving skills, with the initiative to propose creative solutions and process improvements. Clear communication skills and the ability to explain analytical methods, results, and rationale. Experience with experimentation platforms or high-volume digital products, such as gaming, e-commerce, or ride-hailing, would be valuable. Ability to critically evaluate and validate AI-generated code, analyses, or modelling suggestions to ensure correctness and reproducibility. Experience using AI-assisted tools (e.g. code assistants or analytical copilots) to accelerate data exploration, research prototyping, and development workflows while maintaining scientific and statistical rigor. Interest in exploring AI-driven approaches that improve experimentation platforms, developer productivity, or data science research workflows. Working at Tripledot 25 days paid holiday in addition to bank holidays to relax and refresh throughout the year Hybrid Working 20 days remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year. Daily Free Lunch: when in the office you get £12 every day to order from JustEat. Regular company events and rewards: quarterly on-site and off-site events that celebrate cultural events, our achievements and our team spirit. Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand. Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy] Life Assurance & Group Income Cover: Financial protection for you and your loved ones. Continuous Professional Development: Propel your career with continuous opportunities for professional development. Private Medical Cover & Health Cash Plan: Opt-in (P11d benefit) comprehensive private medical cover with Bupa and cash plan with Medicash. Dental Cover: Opt-in (P11d benefit). Cycle to Work Scheme: Salary sacrifice bike purchase scheme. Pension Plan: Qualifying earnings or opt-in 4% contributory match schemes offered.