Data Scientist - London, United Kingdom in Birmingham

Data Scientist - London, United Kingdom in Birmingham

Birmingham 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, 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 cutting-edge AI models.
  • Qualifications: Masters or PhD in relevant fields with 3+ years of data science experience.

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

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.

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:

  • Masters 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. 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 Birmingham 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 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 Detail:

Stats Perform Recruiting Team

StudySmarter Expert Advice🀫

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

✨Tip Number 1

Network like a pro! Get out there and connect with people in the sports tech industry. Attend meetups, webinars, or even local events. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data science projects, especially those related to sports analytics. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do!

✨Tip Number 3

Prepare for interviews by brushing up on your technical skills and understanding the latest trends in AI and machine learning. Be ready to discuss how you can apply these to real-world sports data challenges. Practice makes perfect!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. 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 Birmingham

Machine Learning Techniques
Python
SQL
TensorFlow
PyTorch
XGBoost
Statistical Techniques

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! Use it to explain why you're passionate about sports data and how your background makes you a perfect fit for Stats Perform. Let us know what excites you about the role!

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 want to see your hands-on experience and creativity!

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 keen on joining the Stats Perform team!

How to prepare for a job interview at Stats Perform

✨Know Your Data Inside Out

Make sure you’re well-versed in the sports data landscape, especially in soccer and tennis. Brush up on your knowledge of machine learning techniques and be ready to discuss how you’ve applied them in real-world scenarios.

✨Showcase Your Technical Skills

Be prepared to demonstrate your proficiency in Python, SQL, and popular ML/AI packages like TensorFlow and PyTorch. You might even be asked to solve a coding challenge, so practice coding on a whiteboard or in a collaborative environment.

✨Communicate Clearly

Since you'll need to present your solutions to various teams, practice explaining complex technical concepts in simple terms. This will show that you can bridge the gap between technical and non-technical stakeholders.

✨Bring Your Passion for Sports

Let your enthusiasm for sports shine through during the interview. Share your insights on the latest trends in sports analytics and how they can impact the industry. This will help you connect with the interviewers and demonstrate your genuine interest in the role.