Senior Data Scientist

Overview

In this Senior Data Scientist role at Croud, you will lead data science and ML projects that deliver measurable business impact for a roster of global brands. You’ll work across a growing analytics practice, applying advanced methods and AI-driven approaches to client challenges and product development. You’ll collaborate with clients, analysts and engineers to scale solutions and share insights. This is a chance to shape analytics capabilities and drive innovative marketing outcomes.

Pay / Benefits

• Sabbatical after 7 years
• 25 days holiday
• Health & Wellbeing contribution
• Pension
• Life insurance and income protection
• Flexible working options

Responsibilities

• Manage data science and ML projects to meet technical goals within timeframes
• Communicate complex methods clearly to clients and team members
• Produce clear insights through visualizations and metrics for non-technical users
• Interface with clients to secure data inputs and align on service application
• Explore and model large datasets using Python, SQL and related tools
• Leverage Claude Code and other AI tools to enhance Croud solutions
• Lead data exploration, model estimation and validation
• Write clean, robust code for data science pipelines
• Discuss data science aspects with technical and commercial teams
• Collaborate with data engineers to ensure scalable algorithms
• Explain and propagate the analytics team’s methodologies to clients and stakeholders
• Allocate around 20% of time to pure innovation supporting product development and agentic AI goals

Key requirements

• Master's degree or PhD, or relevant quantitative experience
• Proven experience in applied machine learning in a full-time role
• Knowledge of Python, ML libraries and SQL
• Experience using LLMs to assist in safe and stable code writing
• Strong statistical knowledge
• Ability to communicate data analysis results effectively
• High proficiency in English writing and speaking
• Strong client services skills and ability to manage delivery expectations autonomously
• Good time management and organizational abilities

• Clear communicator with both technical and non-technical audiences
• Curiosity and willingness to learn rapidly
• Detail-oriented with good judgment
• Python and ML libraries
• SQL
• Experience with LLMs (Claude Code)

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