Implement & scale any GTM strategy with GoodFit
Senior Data Scientist
Location
United Kingdom
Posted
102 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Scientist
GoodFit.io
• Design and develop ML models (e.g., classification, ranking, scoring) that power customer-facing features • Use SQL and Python (pandas, scikit-learn) to analyse product data and identify opportunities • Rapidly prototype new AI/ML-driven product ideas in collaboration with Product and Design • Define hypotheses, evaluate model performance, and iterate quickly • Collaborate with Engineering to productionise validated models • Improve automation, personalisation, and predictive capabilities within the product • Ensure models are measurable, interpretable, and aligned with user value • Assess and validate internal and external data sources used in ML features • Evaluate signal quality, bias, completeness, and reliability • Define metrics and checks to ensure data is fit for customer-facing use • Move from ambiguous problem → prototype → shipped feature with strong ownership
Job Requirements
- 5+ years of professional experience in data science or applied ML
- Strong SQL skills and confidence working directly with product data
- Strong Python experience for modelling (pandas, scikit-learn)
- Solid understanding of statistics and model evaluation techniques
- Experience shipping ML-powered features in production
- A product-oriented mindset and comfort working cross-functionally
- Strong communication skills and the ability to explain complex concepts clearly
- Experience working in a startup environment or high-growth company
- Bonus
- Experience shipping ML features in a B2B SaaS product
- Experience with LLM-based systems
- Experience with recommendation or ranking systems
Related Guides
Related Categories
Related Job Pages
More Data Scientist Jobs
• Develop and deploy new AI methods and systems to solve complex defense challenges. • Build AI models, heuristics, and agentic solutions from the ground up. • Work directly with customers to translate vague mission needs into concrete AI workflows and technical requirements. • Take full accountability for client problems, from initial discovery to deploying production code into AI systems. • Partner with AI platform and data engineering teams to build end-to-end production solutions. • Wrap specific Data Science solutions into reusable agentic AI frameworks and features for broader deployment. • Create agentic AI systems using AI orchestrators and advanced reasoning capabilities.
• Design experiments and evaluate model behavior • Build data workflows and reason about data-driven decisions • Contribute to cutting-edge AI research and collaborate with top industry labs • Analyze datasets and communicate findings clearly
• We are seeking an inquisitive Data Scientist to join our team, leveraging deep expertise in Artificial Intelligence and a keen understanding of complex Defense Acquisition challenges. • Your primary focus will be to work with our proprietary and commercial datasets to find critical connections, derive actionable knowledge, and identify potential issues that help our government clients make more informed decisions. • Your role will involve designing, developing, and rapidly deploying scalable AI solutions that transform these insights into mission-critical capabilities. • Take end-to-end ownership of client problems.
• Design, develop, and deploy production-ready machine learning models through real-time API integrations, contributing to enterprise-scale AI solutions that directly impact patient care and healthcare delivery across Labcorp's global diagnostic operations. • Apply cutting-edge Generative AI techniques to solve complex healthcare and business challenges, working alongside experienced data scientists to implement state-of-the-art AI capabilities that enhance diagnostic workflows and operational efficiency. • Participate in the full lifecycle of AI solution delivery—from data exploration and model development to integration, testing, and monitoring—while gaining hands-on experience with enterprise-level machine learning infrastructure and best practices in a healthcare setting.
