Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Magic EdTech

AI/Data Scientist

Magic EdTech

. Collaborate closely with other Data scientists and the Engineering Team to advance ReflectAI® technology.

Posted 10/10/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and training AI models, particularly in the context of pose estimation using MediaPipe and MoveNet. Strong analytical skills in statistical analysis and algorithm development for real-time data processing are essential, along with effective communication abilities to bridge technical and non-technical stakeholders.

Highest-signal resume keywords
Building And Training AI ModelsMediaPipe ExperienceMoveNet ExperienceStatistical AnalysisAgile Scrum Collaboration

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Algorithm DevelopmentFeature ExtractionReal-Time Data ProcessingLinear AlgebraGeometryCalculusProbabilityKotlinJavaC++
Soft Skills
Good Communication AbilitiesMeticulous Attention To DetailSelf-MotivatedTeam Collaboration
Tools & Technologies
JIRAProject Management Tools
Industry Keywords
Pose EstimationFitness TechnologyStrength ExercisesProduct Development

Tech Stack

Tools & technologies
JavaKotlinC++

About the role

Key responsibilities & impact
  • Collaborate closely with other Data scientists and the Engineering Team to advance ReflectAI® technology.
  • Work extensively with MediaPipe and MoveNet to leverage pose estimation coordinates.
  • Develop rules/algorithms to calculate total reps, rep progress, rep speed, and form quality by analysing outputted coordinates.
  • Build and train new AI models.
  • Optimise AI models to run on specific hardware accelerators.
  • Use statistical analysis techniques to minimise inaccuracies in complex occlusion scenarios.
  • Collaborate with the Product team to understand and execute technical and product requirements.
  • Work closely with QA to resolve bugs and minimise bugs in staging/production releases.
  • Coordinate and communicate with Customer Support and Marketing to ensure smooth, regular feature releases.
  • Report to the CTO as a member of the IT team.

Requirements

What you’ll need
  • Building and training new AI models
  • Experience with feature extraction from time-series or sequential data.
  • Ability to develop and implement algorithms for real-time data processing and analysis.
  • Strong foundation in linear algebra, geometry, and basic calculus.
  • Good understanding of probability and statistical analysis.
  • Good communication abilities, particularly in effectively and clearly explaining technical concepts to non-technical individuals and in writing detailed project documentation.
  • Meticulous and thorough in paying attention to details.
  • Self-motivated and capable of working independently.
  • Able to work effectively and cooperatively in a team setting.
  • You don't have to be a regular gym-goer, but you should be passionate about developing technology that will revolutionise how people exercise!
  • Experience using MediaPipe, MoveNet or other machine learning models, ideally pose estimation.
  • Experience coding in Kotlin, Java or C++.
  • Proficiency in using JIRA or other project management tools.
  • Experience collaborating in Agile Scrum teams.
  • Experience as a data scientist within a startup / high growth environment.
  • Knowledge of correct technique across strength exercises (e.g. squat, deadlift) and other fitness related modalities.
  • Product minded with a good understanding of how to build products.
  • Passion for fitness, ideally with experience building fitness products and working out.

Benefits

Comp & perks
  • Competitive salary.
  • Share Options in the company.
  • An impact from day one. Our business is scaling by the day. You'll work on ambitious projects, and your contribution will significantly impact the success of MAGIC AI now and in the future.
  • Unlimited Holiday (self-directed time off)
  • Flexible Home/Hybrid Working from our London HQ (At least 2 days WFH per week)
  • Mental Health Wellbeing support
  • Hardware budget for brand new Macbook or other.
  • Professional learning & development budget.
  • All. The. Fun. Regular awesome socials.