At a Glance
- Tasks: Dive into data to drive growth in the exciting world of iGaming and sports.
- Company: Join Fanatics, a leading global digital sports platform passionate about fans.
- Benefits: Competitive salary, great benefits, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on innovation and career advancement.
- Why this job: Make an impact in a fast-paced environment while working with cutting-edge technology.
- Qualifications: 3-5 years in data science, strong SQL and Python skills required.
The predicted salary is between 99000 - 124000 € per year.
About the Company
Fanatics is building a leading global digital sports platform that ignites the passions of sports fans worldwide and maximises the presence of our hundreds of sports partners across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming. The platform allows fans to buy, collect, and bet on licensed fan gear, trading cards, memorabilia, and digital assets while building a Sportsbook and iGaming platform.
Position Overview
We are seeking a Data Scientist III to join our Decision Science team. The role reports to the Decision Science Manager and focuses on creating insights to drive business growth by partnering closely with senior commercial stakeholders and their teams.
Responsibilities
- Develop a deep understanding of the iGaming ecosystem, encompassing both Sportsbook and Casino products, operations, and player behaviour.
- Build strong relationships with stakeholders across both Sports and Casino business units, acting as a key technical contributor to driving total commercial performance.
- Collaborate with Data Scientists and Analysts to implement and refine scalable solutions for complex iGaming business problems.
- Contribute to the development, deployment, and iterative improvement of automated personalisation and promotion engines across the iGaming suite.
- Build and maintain sophisticated Lifetime Value (LTV) models to improve player segmentation and marketing efficiency.
- Remain current on technology, machine learning trends, and competitive shifts within the global sports betting and gaming industry.
Qualifications (Experience And Skills)
- Minimum of 3-5 years proven experience in a data science or advanced analytics role.
- Degree in a quantitative field such as Mathematics, Physics, Statistics, Engineering, Computer Science, or Economics.
- Strong SQL proficiency and strong proficiency in Python, with experience building and validating machine learning models.
- Strong understanding of statistical concepts such as regression, clustering, and A/B testing in high‑growth environments.
- Expertise in experimental design and causal inference, including A/B/n testing, quasi‑experiments, and uplift modelling to determine true incremental value.
- Demonstrated ability to partner with stakeholders, earning trust through data‑driven insights and clear communication.
- Outcome‑oriented and data‑driven; comfortable navigating fast‑paced, high‑growth environments.
Preferred
- Experience experimenting with Generative AI solutions (e.g., LLM‑based analysis, automation, or insight generation) and identifying opportunities to apply them within a commercial analytics environment.
- Previous experience in iGaming (Sportsbook or Casino) or with Customer Lifetime Value models is a significant plus.
Benefits
Information about our benefits can be found at https:///.
Compensation
Salary Range: €99,000 - €124,000 EUR.
Data Scientist III in London employer: Fanatics
Fanatics is an exceptional employer that fosters a dynamic and innovative work culture, perfect for Data Scientists looking to make a significant impact in the fast-paced iGaming industry. With a strong emphasis on collaboration and professional growth, employees are encouraged to develop their skills while working alongside passionate sports enthusiasts. The company offers competitive compensation and a comprehensive benefits package, making it an attractive choice for those seeking meaningful and rewarding employment in a thriving digital sports platform.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist III in London
✨Tip Number 1
Network like a pro! Reach out to people in the iGaming industry, especially those at Fanatics. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data science expertise, especially in areas like machine learning and LTV models. This will make you stand out during interviews.
✨Tip Number 3
Be ready to discuss your past experiences! Think of specific examples where you've used data to drive business decisions. This will show that you can bring real value to the Decision Science team.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining the Fanatics team.
We think you need these skills to ace Data Scientist III in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist III role. Highlight your experience in data science, especially any work related to iGaming or machine learning. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about sports and data science. Share specific examples of how you've driven business growth through data insights, as this is key for us at Fanatics.
Showcase Your Technical Skills:Don’t forget to highlight your SQL and Python skills! Mention any projects where you built or validated machine learning models. We love seeing practical applications of your technical expertise, so make it clear how you’ve used these skills in real-world scenarios.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Fanatics!
How to prepare for a job interview at Fanatics
✨Know Your Data Science Stuff
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss your experience with machine learning models and statistical concepts like regression and A/B testing. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to data science.
✨Understand the iGaming Ecosystem
Dive deep into the iGaming world, especially around Sportsbook and Casino products. Familiarise yourself with player behaviour and the latest trends in sports betting and gaming. Showing that you have a solid grasp of this ecosystem will impress the interviewers and demonstrate your commitment to the role.
✨Build Relationships
Since this role involves collaborating with various stakeholders, think about how you can showcase your relationship-building skills. Prepare examples of how you've earned trust through data-driven insights in past roles. This will highlight your ability to communicate effectively and work well within teams.
✨Stay Current with Trends
Keep an eye on the latest technology and machine learning trends, especially those related to Generative AI. If you’ve had any experience applying these solutions in a commercial analytics environment, be sure to mention it. This shows that you’re proactive and forward-thinking, which is crucial in a fast-paced industry like iGaming.
