Data Scientist

kwiff; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Private Healthcare

Life Insurance

Bonus potential

Weekly lunch

Wellbeing Allowance

Sustainable Commuting

Parental Support

Long Service Rewards

Learning Budget

Team Socials & Activities

Hybrid Working Model

Job summary

kwiff, a proprietary tech platform redefining the betting experience, is seeking a Data Scientist to develop data science solutions that deliver measurable business impact across the organisation. Working within the Data team, you’ll use advanced analytics, machine learning and data engineering techniques to solve business problems, supporting projects from initial concept through to production deployment.

You’ll collaborate closely with commercial stakeholders to understand their challenges and

Qualifications

• 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
• 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
• 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).

Responsibilities

• Build and deploy machine learning models, taking solutions from initial ideation through to production deployment and ongoing optimisation.
• Design, develop and maintain scalable data models, ETL pipelines and data workflows that support analytics and machine learning initiatives.
• Analyse large and complex datasets to identify trends, patterns and opportunities, communicating insights in a clear, commercially impactful way.
• Act as the organisation's subject matter expert for data-related queries, providing technical guidance and influencing data-driven decision making.
• Monitor, maintain and continuously improve production models, ensuring reliability, performance, scalability and proactive issue resolution.
• Collaborate with cross-functional teams to translate business problems into robust data science solutions that deliver measurable value.
• Apply appropriate statistical analysis, experimentation and machine learning techniques to solve complex business challenges.
• Contribute to the continuous improvement of data science practices, tooling and engineering standards across the team.
• Work autonomously to identify opportunities, prioritise work and deliver high-quality solutions while collaborating effectively with colleagues and stakeholders.
• Continuously develop technical expertise, staying up to date with advances in data science, machine learning and data engineering, and sharing knowledge across the team.

Skills

SQL

Python

Machine learning

Data analysis

Git/GitHub

Communication

End-to-end data science

Recommender systems

E-gaming industry knowledge

Education

Master's degree in a STEM field

Tools

GitHub

Job description

We aren't gambling as you know it. We’re a proprietary tech platform redefining the experience with a bold, player-first approach. Our signature feature, Supercharging, randomly boosts odds, cashouts and casino sessions, creating genuine moments of surprise and delight for our users.

We’re looking for a Data Scientist to develop data science solutions that deliver measurable business impact across the organisation. Working within the Data team, you’ll use advanced analytics, machine learning and data engineering techniques to solve business problems, supporting projects from initial concept through to production deployment. You’ll collaborate closely with commercial stakeholders to understand their challenges and translate them into scalable, data-driven solutions, while contributing to the continued development of our data science capability.

Key responsibilities & opportunities

• Build and deploy machine learning models, taking solutions from initial ideation through to production deployment and ongoing optimisation.
• Design, develop and maintain scalable data models, ETL pipelines and data workflows that support analytics and machine learning initiatives.
• Analyse large and complex datasets to identify trends, patterns and opportunities, communicating insights in a clear, commercially impactful way.
• Act as the organisation's subject matter expert for data-related queries, providing technical guidance and influencing data-driven decision making.
• Monitor, maintain and continuously improve production models, ensuring reliability, performance, scalability and proactive issue resolution.
• Collaborate with cross-functional teams to translate business problems into robust data science solutions that deliver measurable value.
• Apply appropriate statistical analysis, experimentation and machine learning techniques to solve complex business challenges.
• Contribute to the continuous improvement of data science practices, tooling and engineering standards across the team.
• Work autonomously to identify opportunities, prioritise work and deliver high-quality solutions while collaborating effectively with colleagues and stakeholders.
• Continuously develop technical expertise, staying up to date with advances in data science, machine learning and data engineering, and sharing knowledge across the team.

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
• 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
• 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.

Bonus potential – Quarterly bonuses based on company achievements.

Weekly lunch - Enjoy lunch as a team on Fridays

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.

At kwiff, we don’t just follow trends. We create them. From unlimited betting options to surprise wins and slick user journeys, we’re building a product that players love. Join us and help design the future of betting.

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 three stages of the recruitment process. Please let us know if there’s anything we can do to make the process more accessible to you.