EntryFull TimeEN
kwiff isn’t gambling as you know it. We’re redefining the experience with a bold, player-first approach to sports betting and casino, powered by our proprietary tech platform, fully automated sportsbook, and standout UX across web and mobile. What truly sets us apart? Supercharging: our signature feature that allows players’ odds, cash outs and more to be supercharged at random, creating surprise wins and a thrilling betting experience. 🎯⚡
We’re looking for a Junior Data Scientist to focus on answering meaningful research questions and building tools that deliver impact across the organisation. The role sits within the Data team, allowing you to benefit from a broad range of expertise, while also working closely with commercial stakeholders. This alignment ensures you can deliver high-impact analysis grounded in a strong understanding of real business challenges.
Key responsibilities & opportunities
Build models and machine learning algorithms, taking ideas from initial concept through to deployment in our live production environment.
Analyse data to uncover trends and patterns, presenting insights in a clear and commercially impactful way.
Design and develop data models and ETL pipelines to support machine learning initiatives.
Act as a key point of contact for data-related queries, becoming a trusted expert across the organisation.
Monitor and maintain production models, ensuring they are optimised, reliable, and proactively improved.
Shape your own path to impact, working autonomously with support from a team of smart, curious colleagues to define and deliver meaningful work.
Grow as a Data Scientist, gaining exposure to a wide range of problems, collaborating across teams, and continuously developing your skillset.
Essential skills:
A degree in a STEM subject, ideally at Master’s level
Experience with SQL and Python
Familiarity with machine learning concepts and their practical application
Experience in cleaning, structuring, analysing, and visualising data from multiple sources
Experience developing cloud-based machine learning solutions
Familiarity with Git/GitHub
Ability to communicate complex data science concepts to non-technical audiences, building credibility and trust while influencing stakeholders
Excellent communication and presentation skills
Bonus skills:
Experience delivering data science projects end-to-end in a commercial environment
Experience with recommender systems
Familiarity with the e-gaming industry (sports betting, casino, etc.)
Benefits and Perks:
Private Healthcare – Comprehensive medical insurance through Vitality Health.
Life Insurance – Coverage through Yulife for added peace of mind.
Performance Bonuses – Quarterly bonuses based on team achievements.
Wellbeing Allowance – Spend on gym memberships or other wellness activities.
Sustainable Commuting – Cycle to Work schemes on offer.
Parental Support – Nursery schemes to reduce monthly fees.
Long Service Rewards – Exciting travel rewards for dedication after five years of service.
Learning Budget – Financial support for role-specific training to level up your skills.
Team Socials & Activities – Regular events, plus office perks like ping pong, darts, and PlayStation.
Hybrid Working Model – Spend three days a week working in our Chiswick office and two days at home.
Kwiff is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees.
We aim for equity at all stages of the recruitment process. Please let us know if we can do anything to make the process more accessible to you.
Join us, and you’ll be part of a team that’s shaping the future of iGaming with cutting-edge technology and a culture of bold innovation!
