Senior Data Scientist

Role Overview

A senior-level data science role focused on building and scaling advanced AI and machine learning solutions within a global data-driven organisation. You will act as a technical expert, leading model development, defining methodologies, and guiding junior team members while working closely with cross-functional engineering and product teams.

The role sits within a large international analytics business serving enterprise customers across legal, regulatory, and business intelligence domains.

Key Responsibilities

AI & Machine Learning Development

• Lead design, development, and deployment of advanced AI/ML models
• Work with large-scale datasets to identify patterns, trends, and insights
• Apply and optimise transformer-based and LLM-driven solutions

Data Science & Analytics

• Analyse complex datasets to support product and business decision-making
• Develop scalable frameworks, methodologies, and governance standards
• Evaluate new approaches to improve model performance and reliability

Collaboration & Leadership

• Work closely with data scientists, engineers, and product teams
• Align AI solutions with business and customer requirements
• Mentor junior data scientists and support technical development

Technical Delivery

• Build and improve machine learning pipelines and frameworks
• Use big data technologies (e.g. Spark, Hadoop, AWS ecosystems)
• Support deployment of AI systems into production environments

Requirements

Experience

• 6-10 years experience in Data Science / Machine Learning roles
• Experience working with large-scale production AI systems

Technical Skills

• Strong Python (or R) programming skills
• Experience with ML frameworks and deep learning models
• Hands-on experience with LLMs (e.g. GPT-style models, transformers)
• Big data tools: Spark, Hadoop, cloud platforms (AWS/Azure/GCP)

Knowledge Areas

• Machine learning algorithms (deep learning, boosting, random forests)
• Data-driven product development and experimentation
• Model governance, evaluation, and deployment practices

Soft Skills

• Strong problem-solving and analytical mindset
• Ability to lead technical discussions and mentor others
• Comfortable working in cross-functional global teams

Work Environment & Flexibility

• Flexible working hours with focus on productivity and balance
• Collaboration with international teams across multiple time zones
• Hybrid working model (office remote depending on team structure)
• Strong emphasis on learning, development, and AI innovation