Principal Data Scientist in Royal Leamington Spa

Principal Data Scientist in Royal Leamington Spa

Royal Leamington Spa Full-Time 70000 - 90000 £ / year (est.) Working from home possible
Kwalee Ltd

At a Glance

  • Tasks: Lead data science strategy and mentor a talented team in a gaming powerhouse.
  • Company: Join Kwalee, a leading mobile and indie gaming studio with 1.5 billion+ downloads.
  • Benefits: Enjoy competitive salary, private health cover, flexible working, and unlimited snacks.
  • Other info: Dog-friendly office, generous holiday, and opportunities for professional growth.
  • Why this job: Make an impact in the gaming industry while developing your skills in a fun environment.
  • Qualifications: 7+ years in data science, strong leadership, and expertise in Python and SQL.

The predicted salary is between 70000 - 90000 £ per year.

At Kwalee, you’ll join a gaming powerhouse that boasts a mobile empire with 1.5 billion+ downloads alongside a thriving PC & Console division that has achieved numerous global chart-topping releases across Steam, Consoles, and Amazon, driving millions of Wishlists. Most recently publishing breakout hits such as The Precinct and Town to City. It’s a unique chance to bring your expertise to a global studio that dominates both the mobile, and the indie PC and Console space.

Kwalee are seeking a highly talented Principal Data Scientist to set the data science and ML strategy in partnership with the Director of AI and Technology. They will also lead high-impact modelling, experimentation, and productionised ML to understand player behaviour and market trends. Alongside this the Principal Data Scientist will mentor and grow data scientists and graduates, and bridge business stakeholders and technical delivery.

Responsibilities
  • Strategic Direction & Roadmap
    • Define the data science and ML roadmap in partnership with the Director of AI and Technology and wider tech leadership.
    • Prioritise the team’s model and experiment backlog by measurable business value.
    • Translate ambiguous commercial problems into hypotheses, experiments, and ML products.
    • Design, train, evaluate, and productionise ML models across the relevant techniques (classification, regression, recommenders, LTV, uplift, sequence models, embeddings).
    • Lead A/B automation testing and causal inference work; own statistical rigour and readouts.
    • Ensure models are explainable, monitored, retrained on a defined cadence, and have clear ownership.
  • Leadership & Talent Development
    • Line-manage data scientists and graduate data scientists; set goals, conduct 1:1s, support career growth.
    • Set the technical bar through code review, model review, and architecture review.
    • Create a learning culture: paper reading, experiment write-ups, internal tech talks, Kaggle / open-source participation.
  • Stakeholder Partnership & Communication
    • Act as the principal data science point of contact for Studio, UA, Growth, and Finance leaders.
    • Communicate results clearly to non-technical leaders; drive decisions, not just decks.
    • Contribute the data science view into SLT and board-level reporting where required.
  • Governance, Ethics & Risk
    • Ensure data science work complies with privacy, security, and platform policy (GDPR, COPPA where relevant, store policy).
    • Document model risk, bias considerations, and mitigation steps for any customer-facing model.
    • Operate within agreed cost guardrails for compute, storage, and third-party APIs.
  • Ad-hoc other tasks which may arise from time to time and be assigned to you by your line manager.
Requirements
  • Degree in Statistics, Mathematics, Physics, Engineering or a related quantitative discipline. MSc or PhD a plus.
  • 7+ years applied data science / ML, including 2+ years tech-leading or line-managing.
  • Demonstrable track record of ML models in production delivering measurable business outcomes.
  • Games, mobile, or consumer-tech experience preferred but not required.
  • Expertise in Python and SQL, Cloud & Data Platforms (Databricks, AWS) and Data Visualisation.
  • Experience in technical leadership and mentoring team members.
  • Excellent communication, collaboration, and problem-solving skills.
Why Kwalee?
  • Generous Holiday: Start with 25 days of annual leave, plus bank holidays. You'll also earn an extra day for every year of service, up to 5 years!
  • Flexible Working: We offer core hours that allow you to work flexibly around your life, and a bank of 'Work From Home' days to use when you need them.
  • Health Cover: Private medical cover, life assurance, a solid pension plan, and cover for dental and optical care.
  • Recharge: Take advantage of our on-site gym and a supportive atmosphere that prioritises your wellbeing.
  • Free Food & Drink: Fuel your day with unlimited free snacks and drinks.
  • Gaming Goodies: Receive Steam codes for all our game releases!
  • Dog-Friendly Office: Bring your furry friend to our vibrant, fun office.
  • Office Location: Leamington Spa office location, with free parking and electric charging stations.
  • Merch & Events: Get exclusive Kwalee merch, enjoy fun seasonal events, and stay informed with regular town halls.
  • Growth & Learning: Full access to LinkedIn Learning to support your continuous professional development.
Our Commitment to Diversity & Inclusion

At Kwalee, we take pride in being an equal opportunity employer, where we believe that diversity and inclusion are essential to driving creativity. We are committed to creating a safe, welcoming, and supportive environment where everyone can thrive. Our culture is built on celebrating the diverse voices of our team members, fuelling innovation and strengthening our connection to our players. We are dedicated to advancing equity, diversity, and inclusion across all areas of life, including age, disability, gender identity, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, and sexual orientation. We recognise the importance of self-development, career progression, and well-being in retaining our talented team. At Kwalee, we celebrate individuality and encourage everyone to bring their authentic selves to work.

Principal Data Scientist in Royal Leamington Spa employer: Kwalee Ltd

Kwalee is an exceptional employer that fosters a vibrant and inclusive work culture, offering generous benefits such as private medical insurance, a dog-friendly office, and a commitment to employee growth through continuous learning opportunities. Located in Leamington Spa, our studio not only boasts a competitive salary but also prioritises well-being with an on-site gym and unlimited snacks, making it an ideal place for talented individuals to thrive and contribute to groundbreaking gaming experiences.

Kwalee Ltd

Contact Details:

Kwalee Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Data Scientist in Royal Leamington Spa

Get Involved in Data Science Meetups

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Show Off Your Projects

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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 Kwalee Ltd.

Apply Directly through Our Website

When you find a suitable opening like Principal Data Scientist at Kwalee Ltd, 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 Principal Data Scientist in Royal Leamington Spa

Python
SQL
Problem-Solving Skills
Communication Skills
Data Engineering
Data Pipeline Development
API Integration

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 Kwalee Ltd, 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 Kwalee Ltd. 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 Kwalee Ltd

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 Kwalee Ltd!

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.