Data Scientist - London, United Kingdom in Milton Keynes
Data Scientist - London, United Kingdom

Data Scientist - London, United Kingdom in Milton Keynes

Milton Keynes Full-Time 60000 - 80000 £ / year (est.) No home office possible
Stats Perform

At a Glance

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

The predicted salary is between 60000 - 80000 £ 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 - London, United Kingdom in Milton Keynes employer: Stats Perform

At Stats Perform, we pride ourselves on being a leading employer in the sports tech industry, located in the vibrant city of London. Our commitment to diversity and inclusion fosters a creative work culture where every employee is valued and encouraged to contribute their unique perspectives. With benefits like flexible working schedules, Mental Health Days Off, and opportunities for professional growth through mentorship and training, we ensure that our team members thrive both personally and professionally while making a meaningful impact in the world of sports data.
Stats Perform

Contact Detail:

Stats Perform Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist - London, United Kingdom in Milton Keynes

✨Tip Number 1

Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even local sports events. You never know who might have a lead on your dream job!

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data science projects, especially those related to sports. Share it on platforms like GitHub or your personal website to catch the eye of recruiters.

✨Tip Number 3

Prepare for interviews by brushing up on your technical skills and understanding the latest trends in sports analytics. Practice explaining complex concepts in simple terms – you want to impress both technical and non-technical interviewers!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team at Stats Perform!

We think you need these skills to ace Data Scientist - London, United Kingdom in Milton Keynes

Machine Learning Techniques
Python
SQL
TensorFlow
PyTorch
XGBoost
Statistical Techniques
Deep Learning Techniques
Neural Network Architectures
Cloud Environments (AWS/Google Cloud)
Model Deployment
Communication Skills
Team Mentoring
Sports Analytics Knowledge

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and machine learning techniques that match what we're looking for. We want to see how your skills align with our needs!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for sports and data science, and explain why you want to join Stats Perform. Let us know how you can contribute to our mission of enhancing sports experiences.

Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's deploying models or using AI in innovative ways, we love seeing real-world applications of your skills!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're serious about joining our team at Stats Perform!

How to prepare for a job interview at Stats Perform

✨Know Your Data Inside Out

Before the interview, dive deep into Stats Perform's data offerings and how they leverage AI in sports. Familiarise yourself with their key products and think about how your experience aligns with their needs. This will show your genuine interest and help you speak their language.

✨Showcase Your Technical Skills

Be ready to discuss your proficiency in Python, SQL, and machine learning frameworks like TensorFlow or PyTorch. Prepare examples of past projects where you've successfully implemented these technologies, especially in a sports context. This will demonstrate your hands-on experience and problem-solving abilities.

✨Communicate Clearly and Confidently

Since you'll be presenting solutions to various teams, practice explaining complex technical concepts in simple terms. Use clear examples to illustrate your points, and be prepared to answer questions from both technical and non-technical stakeholders. Good communication is key!

✨Emphasise Your Passion for Sports

Stats Perform values a love for sports, particularly soccer and tennis. Share your personal experiences and insights related to these sports, and discuss how your passion can contribute to the company's mission. This connection can set you apart from other candidates.

Data Scientist - London, United Kingdom in Milton Keynes
Stats Perform
Location: Milton Keynes

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