Data Scientist – Europe, Asia

Sporty Group

Data Scientist enhancing personalization and recommendations for Sporty Group's products. Building and productionizing data-driven ML systems for real-world business impact.

Posted 6/29/2026full-timeRemote • 🇬🇧 United KingdomJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and productionizing ML/AI systems, with a strong foundation in statistical analysis, machine learning, and programming in Python. Proven ability to apply advanced algorithms to enhance user experience and drive measurable business outcomes.

Highest-signal resume keywords

Machine LearningPython ProgrammingStatistical AnalysisSQL ProficiencyProject Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningStatistical AnalysisProbability TheoryLinear AlgebraData Mining TechniquesRecommendation SystemsQuantitative AnalysisAI ToolsRelational DatabasesBusiness Impact Measurement

Soft Skills

Stakeholder Management

Tools & Technologies

PythonSQLAI Tools

Industry Keywords

Data ScienceQuantitative ResearchQuantitative AnalysisApplied MathematicsFinancial Engineering

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Utilize advanced algorithms and data mining techniques to build personalized recommendation systems, optimizing product and service recommendations to enhance user experience and improve business conversion rates.
Develop and productionize ML/AI systems across multiple domains — including search ranking, recommendation, and content intelligence — that directly impact user growth and business outcomes.

Requirements

What you’ll need

Hands-on experience applying statistical and ML models to real business problems, with measurable impact on revenue or key business outcomes
Advanced understanding of Python and the quantitative analysis ecosystem in Python
Strong foundation in probability theory, statistics, machine learning, and linear algebra
2+ years of experience as a data scientist, quantitative researcher, quantitative analyst, or another relevant role
Knowledge of SQL and experience with relational databases
Proficient with AI tools and agents as part of daily development workflow; this role regularly leverages AI-assisted development to accelerate delivery
Degree in Applied Mathematics, Computer Science, Financial Engineering, Technology, or Engineering
Project and stakeholder management experience is preferred

Benefits

Comp & perks

Sporty is a remote first company in pursuit of sustainability
A competitive salary + individual performance based bonuses every quarter
28 days paid annual leave
Our core working hours are 10am-3pm in your local time zone with flexibility outside of this
Referral bonuses & flash bonuses
Top of the line equipment
Annual company retreats to provide great internal networking opportunities