Data Scientist (Computer Vision) in Newry
Data Scientist (Computer Vision)

Data Scientist (Computer Vision) in Newry

Newry Full-Time 40000 - 50000 ÂŁ / year (est.) No home office possible
STATSports

At a Glance

  • Tasks: Design and deploy ML/AI models to transform sports data into actionable insights.
  • Company: Join STATSports, the global leader in GPS performance tracking for elite athletes.
  • Benefits: Hands-on role with real impact, collaboration with experts, and innovative projects.
  • Other info: Equal opportunity employer welcoming diverse applicants.
  • Why this job: Make a difference in elite sports while working with cutting-edge technology.
  • Qualifications: Degree in Data Science or related field; proficient in Python and SQL.

The predicted salary is between 40000 - 50000 ÂŁ per year.

About STATSports

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.

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.

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 decision making

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!

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.

Data Scientist (Computer Vision) in Newry employer: STATSports

At STATSports, we pride ourselves on being a dynamic and innovative employer where your contributions directly influence the future of sports technology. Located in a vibrant environment, our collaborative culture fosters creativity and growth, offering you the chance to work with cutting-edge datasets and elite athletes. Join us to make a meaningful impact while enjoying opportunities for professional development in a supportive team dedicated to excellence.
STATSports

Contact Detail:

STATSports Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist (Computer Vision) in Newry

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect with current employees at STATSports. A friendly chat can sometimes lead to opportunities that aren’t even advertised.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data science projects, especially those related to sports analytics or machine learning. This will give you an edge and demonstrate your passion for the field.

✨Tip Number 3

Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data science and AI. Be ready to discuss how your work can directly impact athlete performance and team decisions.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the STATSports team.

We think you need these skills to ace Data Scientist (Computer Vision) in Newry

Machine Learning
Artificial Intelligence
Python
SQL
ETL Processes
Data Analysis
Cloud Platforms (AWS, Azure, GCP)
Analytical Skills
Problem-Solving Skills
Data Visualisation Tools (Tableau, Power BI)
Collaboration
Communication Skills
Statistical Analysis
Experience in Sports Analytics

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 any relevant projects that showcase your skills in machine learning and data analysis. We want to see how your background aligns with what we do at STATSports!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about sports technology and how your skills can contribute to our mission. Be sure to mention specific experiences that relate to the job description.

Showcase Your Projects: If you've worked on any interesting data science projects, don’t hesitate to include them! Whether it's a personal project or something from your previous job, we love seeing how you’ve applied your skills in real-world scenarios.

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at STATSports

✨Know Your Data Science Fundamentals

Make sure you brush up on your data science basics, especially around machine learning and AI. Be ready to discuss your experience with Python, SQL, and any relevant tools you've used in past projects. This will show that you have a solid foundation to build upon.

✨Showcase Your Problem-Solving Skills

Prepare to share specific examples of how you've tackled complex data problems in the past. Think about the challenges you faced, the methods you used, and the outcomes. This will demonstrate your analytical skills and ability to derive actionable insights from data.

✨Familiarise Yourself with STATSports' Products

Take some time to research STATSports and their technology. Understanding their GPS performance tracking and how it impacts athletes will help you tailor your answers and show genuine interest in the role. It’s all about connecting your skills to their mission!

✨Practice Clear Communication

Since you'll be collaborating with cross-functional teams, practice explaining complex data concepts in simple terms. Being able to communicate your findings clearly is crucial, so consider doing mock interviews or explaining your projects to friends who aren't in the field.

Data Scientist (Computer Vision) in Newry
STATSports
Location: Newry

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