Data Scientist in Littleton

Data Scientist in Littleton

Littleton Full-Time 50000 - 70000 £ / year (est.) No working from home possible
Stats Perform

At a Glance

  • Tasks: Research and develop innovative machine learning techniques for sports data.
  • Company: Join the market leader in sports tech, Stats Perform.
  • Benefits: Enjoy flexible working, mental health days, and volunteering opportunities.
  • Other info: Be part of a diverse team that values creativity and inclusion.
  • Why this job: Make a real impact in sports by creating next-gen AI models.
  • Qualifications: Master’s or PhD in relevant fields and 3+ years of data science experience.

The predicted salary is between 50000 - 70000 £ per year.

Overview

Stats Perform is the market leader in sports tech. We provide the most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around the world, access to the very best data, content, and insights, improving how sports fans interact with their favourite sports teams and competitions.

How do we add value?

  • Media outlets add a little magic to their coverage with our stats and graphics packages.
  • Sportsbooks can offer better predictions and more accurate odds.
  • The world's top coaches are known to use our data to make critical team decisions.
  • Sports commentators can engage with fans on a deeper level, using our stories and insights.

Anywhere you find sport, Stats Perform is there. However, data and tech are only half of the package. We need great people to fuel the engine. We succeeded thanks to a team of amazing people who spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry, and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience!

Responsibilities:

  • Researching, developing, and implementing innovative machine learning techniques to Stats Perform’s wealth of sports data, across various sports, such as soccer and tennis.
  • Productizing your models alongside engineers and product teams, in a quick and efficient way.
  • Presenting your solutions to other internal teams, broadening AI proficiency in the company.
  • Providing technical guidance to various teams on the artificial intelligence approaches that our team uses.
  • Identify new AI solutions for emerging problems, create requirements and propose an outline a roadmap for delivering the project.
  • Support, train and mentor team members on best machine learning implementation practices.

Required Qualifications:

  • Master’s or PhD in data science, computer science, mathematics, statistics or related STEM fields.
  • 3+ years of experience working as a data scientist (or similar role).
  • Expert proficiency of Python and experience using SQL, alongside using common ML/AI packages (TensorFlow, PyTorch, XGBoost, etc.).
  • Familiarity with statistical (e.g. GLM, GAMs) and deep learning techniques (e.g. neural networks, transformers, diffusion models, etc.).
  • Comfortable designing and creating neural network architectures, tree-based methods and applying upcoming technologies from scratch.
  • Experience deploying models in cloud environments (such as AWS/Google Cloud), making models production-ready and integrating them in end-to-end cloud pipelines.
  • Fluency in English; excellent verbal and written communication and presentation skills, including an ability to effectively communicate with both business and technical teams, and both internal and external stakeholders.

Desired Qualifications:

  • Experience with sports event and/or tracking data and deep interest in sports, in particular soccer and tennis.
  • Knowledge of the sports analytics landscape and latest research.

Why work at Stats Perform?

We love sports, but we love diverse thinking more! We know that diversity brings creativity, so we invite people from all backgrounds to join us. At Stats Perform you can make a difference, by using your skills and experience every day, you’ll feel valued and respected for your contribution.

We take care of our colleagues. We like happy and healthy colleagues. You will benefit from things like Mental Health Days Off, ‘No Meeting Fridays,’ and flexible working schedules. We pull together to build a better workplace and world for all. We encourage employees to take part in charitable activities, utilize their 2 days of Volunteering Time Off, support our environmental efforts, and be actively involved in Employee Resource Groups.

Diversity, Equity, and Inclusion at Stats Perform

By joining Stats Perform, you’ll be part of a team that celebrates diversity. A team that is dedicated to creating an inclusive atmosphere where everyone feels valued and welcome. All employees are collectively responsible for developing and maintaining an inclusive environment. That is why our Diversity, Equity, and Inclusion goals underpin our core values. With increased diversity comes increased innovation and creativity, ensuring we’re best placed to serve our clients and communities. Stats Perform is committed to seeking diversity, equity, and inclusion in all we do.

Data Scientist in Littleton employer: Stats Perform

At Stats Perform, we pride ourselves on being a leading employer in the sports tech industry, located in the vibrant Paddington area. Our commitment to employee well-being is reflected in our flexible working schedules, Mental Health Days Off, and a culture that values diversity and inclusion. With ample opportunities for professional growth and a collaborative environment, you will be empowered to innovate and make a meaningful impact in the world of sports data.

Stats Perform

Contact Details:

Stats Perform Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist in Littleton

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 Stats Perform!

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 Stats Perform.

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 Stats Perform.

Apply Directly through Our Website

When you find a suitable opening like Data Scientist at Stats Perform, 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 Littleton

Machine Learning Techniques
Python
SQL
TensorFlow
PyTorch
XGBoost
Statistical Techniques

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 Stats Perform, 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 Stats Perform. 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 Stats Perform

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 Stats Perform!

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.