Data Scientist

Salary: £35,000 - 70,000 per year

Requirements:

• 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 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

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 teams priorities evolve

Technologies:

• AI
• Support
• Machine Learning
• Mobile
• Python

More:

We are Tripledot Studios, one of the largest independent mobile games companies in the world, with a global team of 2,500+ across 12 studios. Our portfolio includes some of the biggest titles in mobile gaming, reaching top chart positions worldwide and engaging over 25 million daily active users. We are building a company we are proud of, with driven, smart, detail-oriented people who love making games. This role sits within our Tripledot Games studio, a leading developer and publisher of casual and puzzle games with a strong presence in London, Warsaw, and Barcelona. Our studio is responsible for multiple top 10 titles, including Woodoku, Woodoku Blast, Solitaire, and TripleTile, and we take pride in our data-driven approach, craftsmanship, and continuous improvement. We offer 25 days paid holiday plus bank holidays, hybrid working, 20 days remote working from anywhere in the world, daily free lunch in the office, regular company events and rewards, an Employee Assistance Program, family forming support, life assurance and group income cover, continuous professional development, private medical cover and health cash plan, dental cover, cycle to work scheme, and pension plan.

last updated 34 week of 2026