Data Scientist

STATSports; Newry; On-site; GBP 100,000 - 125,000; Full time

Job summary

A cutting-edge sports technology company in Northern Ireland seeks a Data Scientist to turn vast datasets from GPS and IMU sensors into actionable insights. The role involves developing machine learning and AI solutions that enhance team performance. Candidates should have a degree in a related field and proficiency in Python and SQL, with experience in data science production environments. Join our high-performance team to directly influence sports technology at the elite level.

Benefits

Opportunity to work with cutting-edge datasets

Exposure to full software lifecycle

Collaboration with a high-performance team

Qualifications

• Degree or relevant experience in Data Science or related field.
• Proficient in Python and SQL.
• Experience deploying machine learning models in production.

Responsibilities

• Designing and deploying ML and AI models for data insights.
• Developing ETL workflows for data analysis.
• Collaboration with stakeholders to integrate data solutions.

Skills

Python for data analysis

SQL

Analytical skills

Problem-solving

Collaboration

Education

Degree in Data Science, Engineering, Mathematics, Statistics, or related field

Tools

SQL Server

MySQL

Tableau

Power BI

Job description

About STATSports

What if the product you helped to build next week was worn by an elite athlete the week after?

At STATSports that could be your reality. Since 2007 we’ve grown from a small Irish start-up into the global leader in GPS performance tracking, trusted by the world’s biggest clubs, leagues, and athletes. Our technology sits at the intersection of hardware, software, and sport, helping teams optimise performance, reduce injury risk, and unlock insights that were previously impossible.

But just as importantly our products support the next generation of athletes, from academies to grassroots, giving them access to the same performance tools as the pros.

The Opportunity

We’re looking for a Data Scientist to join our product team and help turn vast datasets from our GPS and IMU sensors into actionable insights that shape the future of sports technology. This is a hands‑on, research and data‑driven role where you’ll develop, test, and deploy machine learning and AI solutions that enhance the performance, accuracy, and capabilities of our software. You’ll work closely with software engineers, product owners, and stakeholders, turning data into real‑world value for athletes and teams. If you enjoy finding patterns in complex data, building models that directly influence real products, and seeing your work applied in elite sport, this role is for you.

What you’ll be doing

• Designing, building, and deploying ML and AI models to extract insights from GPS and IMU sensor data
• Developing efficient ETL workflows to ensure data is extracted, transformed, and loaded for analysis
• Analysing large datasets to uncover trends, patterns, and insights that support athlete performance and team decisions
• Conducting experiments and validating models to ensure reliability and accuracy
• Monitoring and refining models over time to improve performance and efficiency
• Collaborating closely with software engineers, product owners, and other stakeholders to integrate data‑driven solutions into our products
• Staying up to date with the latest developments in data science, ML, AI, and cloud technologies to drive innovation
• Presenting insights clearly to cross‑functional teams and supporting data‑informed decision making

What we’re looking for

You’ll likely enjoy this role if you:

• Have a degree or relevant experience in Data Science, Engineering, Mathematics, Statistics, Computer Science, or a related field
• Are proficient in Python for data analysis and model development
• Have experience working with SQL and relational databases such as SQL Server or MySQL
• Have proven experience developing and deploying data science, ML, or AI solutions in a production environment
• Are familiar with ETL processes and tools
• Can analyse large datasets from cloud platforms (AWS, Azure, GCP) and extract meaningful insights
• Have strong analytical and problem‑solving skills
• Enjoy collaborating with cross‑functional teams and communicating complex findings clearly

Nice to have (but not essential)

• Experience using data visualisation tools like Tableau or Power BI
• Experience in sports analytics or working with player tracking systems
• Familiarity with advanced ML techniques, time‑series analysis, or signal processing

What’s in it for you

• Hands‑on role where your work directly influences products used in elite sport
• Opportunity to work with cutting‑edge datasets and develop innovative ML/AI solutions
• Exposure to the full software lifecycle, from data ingestion to deployment in production
• Collaboration with engineers, product owners, and data specialists in a supportive, high‑performance team
• Chance to see your work applied to real‑world athlete performance and decisionmaking

Equal opportunity employer

STATSports is an equal opportunity employer. We welcome applications from women and underrepresented groups.

Why STATSports

We’re still a small business that happens to be the world leader in our field, which means you can be a part of something big. Working at STATSports, you’ll have a real impact and see directly how the day‑to‑day work you do makes a difference in sport at the elite level. You’ll collaborate with a world‑class team and be given the freedom to innovate, create and deliver at the highest level. If this excites you, we would love to hear from you!

Apply

If you enjoy working with data, building ML/AI solutions, and creating insights that have a tangible impact in sport, we’d love to hear from you.