Lead Data Scientist

Role & responsibilities

Who we are

Collaboration. GlobalData is a specialist information services business on a mission to help our clients decode the future, make better decisions and reach more customers. Using our unique data, expert analysis and innovative solutions we deliver intelligence on the worlds largest industries for companies, government organisations and industry professionals. We began our journey in 2016, by combining a diverse range of specialist information services companies, with decades of trusted customer relationships and deep sector specialisms. Today, we operate as a single company and one fully integrated platform, with more than 3,500 colleagues worldwide, across 20+ industries, delivering value for over 5,000 customers.

What you'll be doing

• Lead, plan, and deliver multiple data science/GenAI projects end-to-end, from problem framing to deployment and monitoring.

• Architect and build production-grade ML/GenAI solutions, including data pipelines, model training, evaluation, and MLOps.

• Provide technical leadership and mentor junior and senior team members; establish best practices and code quality standards.

• Partner with product, engineering, and business stakeholders to define roadmaps, scope work, and quantify impact.

• Communicate strategy, progress, and insights clearly to executives and cross functional teams.

• Support team and international colleagues on client-facing activities as needed.

Preferred candidate profile

Bachelors or master’s in computer science, Statistics, Mathematics, Engineering, or related field.

• 7+ years in data science/ML, including leading projects and delivering production solutions.

• Strong proficiency in Python and SQL; expertise with libraries such as pandas, NumPy, scikit-learn; experience with data visualization.

• Proven experience with GenAI/LLMs (prompt engineering, fine-tuning, RAG, evaluation, and safety/guardrails).

• Solid grasp of statistics, ML/DL algorithms, experimentation (A/B testing), and metric design.

• Demonstrated project/program management skills and stakeholder communication.