Senior ML Researcher — Sports Analytics Modelling
Senior ML Researcher — Sports Analytics Modelling

Senior ML Researcher — Sports Analytics Modelling

Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and implement innovative machine learning models for sports analytics.
  • Company: Leading analytics firm in Greater London with a focus on quantitative modelling.
  • Benefits: Competitive salary, bonus scheme, pension contributions, and private healthcare.
  • Why this job: Join a dynamic team and enhance predictive analytics in a hybrid work environment.
  • Qualifications: Strong mathematical skills, Python experience, and creative problem-solving abilities.
  • Other info: Exciting opportunity for growth in a cutting-edge field.

The predicted salary is between 43200 - 72000 £ per year.

A prominent analytics firm in Greater London is looking for Machine Learning Researchers to join their quantitative modeling team. You will design and implement innovative machine learning models, enhancing the quality of predictive analytics in a hybrid working environment.

Ideal candidates possess a strong mathematical foundation, experience with Python, and creativity in problem-solving.

The company offers competitive benefits including a bonus scheme, pension contributions, and private healthcare.

Senior ML Researcher — Sports Analytics Modelling employer: Longshot Systems Ltd

Join a leading analytics firm in Greater London, where innovation meets collaboration in a hybrid working environment. With a strong focus on employee growth, the company offers competitive benefits such as a bonus scheme, pension contributions, and private healthcare, making it an excellent employer for those passionate about sports analytics and machine learning. Embrace the opportunity to work alongside talented professionals and contribute to cutting-edge predictive analytics projects.
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Contact Detail:

Longshot Systems Ltd Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior ML Researcher — Sports Analytics Modelling

Tip Number 1

Network like a pro! Reach out to professionals in the sports analytics field on LinkedIn or at industry events. We can leverage our connections to get insights and maybe even a referral for that Senior ML Researcher role.

Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to sports analytics. We want to see your creativity in problem-solving, so make sure to highlight your innovative models.

Tip Number 3

Prepare for interviews by brushing up on your mathematical foundations and Python skills. We recommend practising common ML interview questions and coding challenges to boost your confidence before the big day.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.

We think you need these skills to ace Senior ML Researcher — Sports Analytics Modelling

Machine Learning
Predictive Analytics
Mathematical Foundation
Python
Problem-Solving Skills
Creativity
Quantitative Modelling
Data Analysis

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your strong mathematical foundation and experience with Python in your application. We want to see how your skills align with the role of a Senior ML Researcher, so don’t hold back!

Be Creative: This role is all about innovative problem-solving, so let your creativity shine through in your written application. Share examples of how you've tackled challenges in the past and what unique approaches you’ve taken.

Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the job description. We love seeing candidates who take the extra step to connect their experiences to our needs.

Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it gets into the right hands!

How to prepare for a job interview at Longshot Systems Ltd

Brush Up on Your Maths

Since the role requires a strong mathematical foundation, make sure you’re comfortable discussing key concepts. Review topics like statistics, linear algebra, and probability, as these are likely to come up during technical discussions.

Showcase Your Python Skills

Be prepared to demonstrate your proficiency in Python. Bring examples of past projects where you've implemented machine learning models. If possible, have a small code snippet ready to discuss, highlighting your problem-solving approach.

Think Creatively

This role values creativity in problem-solving, so think about unique approaches you've taken in previous projects. Be ready to share specific examples where your innovative thinking led to successful outcomes in analytics or modelling.

Understand the Company’s Focus

Research the firm’s work in sports analytics. Familiarise yourself with their recent projects or publications. This will not only help you tailor your answers but also show your genuine interest in their work and how you can contribute.

Senior ML Researcher — Sports Analytics Modelling
Longshot Systems Ltd
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