At a Glance
- Tasks: Join a team of developers to create and optimise mathematical software using R and C++.
- Company: Leading statistical research team in Europe, passionate about sports and social responsibility.
- Benefits: Starting salary £45,000 - £55,000, flexible working, free meals, gym access, and extensive health benefits.
- Other info: Flexible hybrid model with opportunities for personal growth and well-being support.
- Why this job: Make an impact in sports data while enjoying a great work/life balance and collaborative culture.
- Qualifications: Experience in software development with a strong mathematical background.
The predicted salary is between 45000 - 55000 £ per year.
Location: Oxygen House (Exeter) with Hybrid Working/Remote Working
Salary: Starting salary £45,000 - £55,000 per annum DOE plus generous company benefits
Term: Permanent. Minimum of 4 days per week - up to full time (40 hours over 5 days). Please state in your application what hours you require.
Closing date for applications: 6th May 2025 9.00am
Are you a software developer with a mathematical background who has exceptional technical skills? Do you thrive on problem solving and have an appetite for learning? Do you want to work for a company that actively supports personal well-being? If so, we have a fantastic opportunity for you.
About the role: You would be joining our team of eleven in-house developers, whose skills cover a range of languages, including Java, C#, C++, Python and R. Day to day work will involve working with our teams of statistical researchers and product owners to create, maintain and optimise mainly R and C++ code that runs as part of our mathematical models. You will be involved in the whole development life cycle and encouraged to influence the direction of our shared code. As you'll be working with sports data, an interest in this field is beneficial, however you don't have to be a football fanatic or a cricket specialist to join our team. There's also so much more to us than sport, as a company we're passionate about social responsibility, sustainability, and employee well-being.
About us: We are one of the largest commercial statistical research teams in Europe and a leader in the field of the application of statistical modelling in sports. We maintain statistical and mathematical models to predict sporting outcomes with unparalleled accuracy.
We work using a flexible hybrid model. For this role we require the successful candidate to be in the office twice a week and to start their working days by 10am, however, outside of this, we're keen to work with you to find a working pattern that is beneficial for both you and us. We are ideally looking for someone who is able to work full time (40 hours), however we can consider part-time (minimum of 4 days a week).
Benefits of working with us: At heart, the ATASS Sports philosophy is that our employees should enjoy an excellent work/life balance and a collaborative and inclusive work environment that values their input and creativity. We offer great benefits and facilities in our office at Oxygen House, while also extending the flexibility of working from home. On top of this you will have the opportunity to participate in our extensive range of company benefits, these include:
- Family and Finance Benefits - Enhanced parental leave, Contributory pension (matched up to 5%), Group life assurance, Employee assistance programme.
- Health Benefits - Private medical insurance, Private dental insurance, Virtual GP, Eyecare vouchers, Flu Vaccinations.
- Green Benefits - Green travel incentive, Cycle to work scheme.
- Annual Leave - 25 days’, rising to 30 days’ after 5 years’ service. Plus 5 additional flex days.
Experienced Mathematical Software Developer in Exeter employer: atasssports
ATASS Sports is an exceptional employer that prioritises employee well-being and work-life balance, offering a collaborative and inclusive environment at our Exeter location. With generous benefits such as free plant-based meals, gym access, and extensive health and family support, we empower our team to thrive both personally and professionally while working on innovative statistical modelling projects in sports. Join us to be part of a leading statistical research team that values your input and creativity, all within a flexible hybrid working model.
