Industry: LegalTech / Information & Data Analytics / AI Solutions
Work setting: Hybrid / Flexible working (US-based team, global collaboration)
Employment type: Full-time
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
- 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
- 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
- Experience with ML frameworks and deep learning models
- Hands-on experience with LLMs (e.g. GPT-style models, transformers)
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
- 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