Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Sports Biomechanics Data Scientist

HIRANI
Belfast
1 month ago
Create job alert

Movetru is searching for a Sports Biomechanics Data Scientist who combines biomechanics expertise with data science and algorithm development to transform wearable sensor data into real-time insights for athlete performance and injury mitigation.

Role:

Collect, process, and analyse biomechanical data to understand movement patterns and identify performance metrics.

Design and develop algorithms and models for motion analysis, injury mitigation, and performance improvement.

Apply signal processing techniques to clean, filter, and process raw data from sensors.

Integrate machine learning techniques into biomechanical analysis for personalised insights and predictive analytics.

Test and validate algorithms against experimental data or real-world scenarios to ensure accuracy and reliability.

Work with multidisciplinary teams, including engineers, sports scientists, and researchers to refine models and algorithms.

Develop algorithms that enable real-time analysis and feedback for wearable devices and mobile/web applications.

Document algorithm specifications, validation procedures, and results in technical reports.

Stay updated on advancements in biomechanics and algorithm development, iterating on current models to improve accuracy and efficiency.

Profile:

Strong foundation in biomechanics and human movement analysis with a passion for sports

Proficiency in programming languages like Python, MATLAB, or C++ for algorithm development

Experience with signal processing techniques to process data from wearable sensors

Knowledge of machine learning and data science for predictive modelling and personalised analysis

Skilled in mathematical modelling and simulation for human movement or biomechanical analysis

Experience with wearable sensor data and real-time feedback systems for movement monitoring

Strong data analysis skills including statistical and quantitative analysis for biomechanical data interpretation

Ability to validate and test algorithms to ensure accuracy and robustness

Effective collaboration skills to work with multidisciplinary teams in R&D environments

Passionate about continuous learning and innovation in biomechanics and algorithm engineering

Strong problem-solving and analytical skills

Someone who enjoys working to key deadlines

Ability to commence on pre-existing work and commence new work packages

An ability to work autonomously to meet deadlines

Can speak and write English to a good standard

Must be legally able to work within the UK


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Senior Software Engineer, AI/Machine Learning - EA SPORTS FC

Graduate Machine Learning Researcher

Senior Data Scientist

Graduate Machine Learning Researcher

Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.