At a Glance
- Tasks: Build predictive models and analyse data to enhance sports betting strategies.
- Company: Fast-growing sports betting syndicate with a focus on data and technology.
- Benefits: Salary up to £85,000, fully remote work, and leadership growth opportunities.
- Other info: Exciting chance to shape processes and influence strategy in a rapidly scaling business.
- Why this job: Join a dynamic team and make a real impact in the sports betting industry.
- Qualifications: Strong background in quantitative disciplines and advanced Python skills.
The predicted salary is between 85000 - 85000 £ per year.
Location
Fully Remote (UK)
Salary
Up to £85,000 + Benefits
About the Company
We're partnering with a fast-growing sports betting syndicate that uses data, modelling and technology to gain a competitive edge across global sports markets.
This is an opportunity to join a high-performing team where your work will directly influence betting strategy and business performance.
As the business continues to scale, they're looking for an exceptional Data Scientist who combines technical excellence with commercial thinking and a genuine passion for sport.
The Opportunity
This isn't a traditional corporate data science role.
You'll work alongside experienced quantitative analysts, traders and engineers to develop predictive models, uncover valuable insights and improve decision-making across multiple sports.
You'll be joining at an exciting stage of growth, making you a key part of the business with the opportunity to shape processes, influence strategy and develop into a leadership position as the team expands.
- What You'll Be Doing
- Build and enhance predictive models using statistical and machine learning techniques.
- Analyse large, complex datasets to identify trends, patterns and betting opportunities.
- Develop data-driven insights to improve betting performance and profitability.
- Work closely with engineering and trading teams to implement scalable analytical solutions.
- Optimise existing models through continual testing, validation and refinement.
- Research new approaches and technologies to maintain a competitive advantage.
- Help shape the future direction of the data science function as the business grows.
- Mentor and support junior team members over time.
What We're Looking For
- Strong academic background in Mathematics, Statistics, Computer Science, Physics, Engineering or a related quantitative discipline.
- Commercial experience as a Data Scientist, Quantitative Analyst or similar analytical role.
- Advanced Python skills and experience working with large datasets.
- Strong understanding of machine learning, statistical modelling and predictive analytics.
- Experience with SQL and modern data analysis tools.
- Excellent problem-solving ability with exceptional attention to detail.
- A genuine passion for sport and an interest in sports betting markets.
- Naturally curious, highly analytical and motivated by solving complex problems.
- Strong communication skills with the confidence to influence stakeholders.
- Leadership potential and the ambition to grow with a rapidly scaling business.
- Nice to Have
- Experience within sports betting, gaming, trading or financial markets.
- Knowledge of time series analysis, optimisation or probabilistic modelling.
- Experience working in fast-paced, data-driven environments.
Why Join?
- Salary up to
£85,000 .
- Fully remote working with flexibility around your day.
- Work on genuinely challenging problems with direct commercial impact.
- Be part of a highly intelligent, ambitious team.
- Significant opportunity to progress into a leadership role as the business grows.
- Join a business where your ideas will be heard and your work will make a measurable difference from day one.
If you're a bright, commercially minded Data Scientist with a passion for sport and you're looking to join a business where you'll have genuine influence from the outset, we'd love to hear from you.
Data Scientist - Sports Betting in Liverpool employer: Block MB
Block MB is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong focus on employee growth, team members are encouraged to influence engineering practices from the ground up, while enjoying competitive salaries and the chance to work on cutting-edge technology in a privacy-first environment. This role not only offers the opportunity to make a significant impact but also provides a supportive atmosphere for personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Sports Betting in Liverpool
✨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 Block MB!
✨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 - Sports Betting at Block MB.
✨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 Block MB.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist - Sports Betting at Block MB, 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 - Sports Betting in Liverpool
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 Block MB, 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 Block MB. 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 Block MB
✨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 Block MB!
✨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.
