At a Glance
- Tasks: Develop data science solutions that drive real business impact using advanced analytics and machine learning.
- Company: Join kwiff, a tech platform revolutionising the gambling experience with a player-first approach.
- Benefits: Enjoy private healthcare, life insurance, bonuses, and a wellbeing allowance.
- Other info: Hybrid working model, team socials, and excellent career development opportunities.
- Why this job: Make a difference in the gaming industry while working with cutting-edge data technologies.
- Qualifications: Degree in STEM, experience with SQL and Python, and familiarity with machine learning.
The predicted salary is between 50000 - 70000 £ per year.
About kwiff
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
- 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.
- 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.
Data Scientist in London employer: Kwiff
At kwiff, we pride ourselves on being a forward-thinking employer that champions innovation and inclusivity in the iGaming industry. Our vibrant work culture fosters personal and professional growth, offering comprehensive benefits such as private healthcare, performance bonuses, and a learning budget to enhance your skills. With a hybrid working model and regular team socials, you'll thrive in an environment that values your contributions while redefining the sports betting experience in London.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Kwiff!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Kwiff.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Kwiff.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Kwiff, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist in London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Kwiff, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Kwiff. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Kwiff
✨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!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Kwiff!
✨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.
