Lead Data Scientist in London

Lead Data Scientist in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
TOTTENHAM HOTSPUR FOOTBALL & ATHLETIC CO

At a Glance

  • Tasks: Lead the development of advanced statistical models and machine learning techniques in football analytics.
  • Company: Join Tottenham Hotspur, an iconic football club with a rich history and global fanbase.
  • Benefits: Competitive salary, access to world-class facilities, and opportunities for professional growth.
  • Other info: Be part of a dynamic team pushing the boundaries of sports analytics.
  • Why this job: Make a real impact on football performance using cutting-edge data science techniques.
  • Qualifications: Experience in data science, statistical modelling, and a passion for football.

The predicted salary is between 60000 - 80000 £ per year.

Who We Are

Founded in 1882, Tottenham Hotspur is an iconic English football club, playing in the Premier League and Women's Super League. From North London to the world, our fanbase spans continents, cultures, and generations. Spurs is a club that's always dared to push boundaries, breaking new ground and rewriting history.

We offer world-class facilities: In 2019, we opened our state-of-the-art Stadium, a £1 billion landmark that's the beating heart of North Tottenham's transformation. More than just a football ground, it's an engine of change creating 4,000 jobs and injecting £300 million into the local economy every year.

We're at our brightest when we're all together. Our Club, our teams, our community. There is only one Hotspur.

Role Purpose

The Lead Data Scientist is responsible for leading the development and refinement of advanced statistical models and machine learning techniques, creating innovative metrics and diverse insights that enhance the analysis of player and team performance. They will be exploring new methodologies in football analytics and continuously pushing the boundaries of data science to provide the club with cutting-edge research.

The department's mission is to understand football better than our rivals and turn that understanding into decisions that win matches.

Lead Data Scientist in London employer: TOTTENHAM HOTSPUR FOOTBALL & ATHLETIC CO

Tottenham Hotspur is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. With access to world-class facilities and a commitment to employee growth, the Lead Data Scientist will play a pivotal role in shaping the future of football analytics while contributing to the vibrant community of North London. Join us in pushing boundaries and making a meaningful impact in the beautiful game.

TOTTENHAM HOTSPUR FOOTBALL & ATHLETIC CO

Contact Details:

TOTTENHAM HOTSPUR FOOTBALL & ATHLETIC CO Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Lead Data Scientist in London

Get Involved in Data Science Meetups

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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 Lead Data Scientist at TOTTENHAM HOTSPUR FOOTBALL & ATHLETIC CO.

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 TOTTENHAM HOTSPUR FOOTBALL & ATHLETIC CO.

Apply Directly through Our Website

When you find a suitable opening like Lead Data Scientist at TOTTENHAM HOTSPUR FOOTBALL & ATHLETIC CO, 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 Lead Data Scientist in London

Advanced Statistical Modelling
Machine Learning Techniques
Football Analytics
Data Science Research
Innovative Metrics Development
Performance Analysis
Methodology Exploration

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 TOTTENHAM HOTSPUR FOOTBALL & ATHLETIC CO, 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 TOTTENHAM HOTSPUR FOOTBALL & ATHLETIC CO. 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 TOTTENHAM HOTSPUR FOOTBALL & ATHLETIC CO

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 TOTTENHAM HOTSPUR FOOTBALL & ATHLETIC CO!

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.