Data Scientist
Law Choice
London, UK
about 1 month ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Computer Programming
Data Systems
R (Programming Language)
Python (Programming Language)
Machine Learning
SQL Databases
Unstructured Data
Data Strategy
Data Analytics
Data Pipelines
Job description
- Develop and deploy data-driven solutions to support legal and business teams
- Analyse complex datasets to identify trends, risks and opportunities
- Build predictive models and machine learning solutions to enhance decision-making
- Collaborate with stakeholders across the firm to translate business challenges into data solutions
- Contribute to the firm’s data strategy, innovation initiatives and digital transformation
- Support the development of dashboards and visualisations to communicate insights clearly
- Ensure data quality, governance and best practices are upheld
Key Responsibilities
- Partner with legal, finance and business services teams to deliver actionable insights
- Design and implement statistical and machine learning models
- Work with structured and unstructured data from multiple internal and external sources
- Optimise data pipelines and workflows for efficiency and scalability
- Present findings to senior stakeholders in a clear and compelling way
- Stay up to date with emerging data science tools, techniques and technologies
Requirements
- Proven experience as a Data Scientist or in an advanced analytics role
- Strong programming skills (e.g. Python, R, SQL)
- Experience with machine learning, statistical modelling and data visualisation tools
- Ability to translate complex data into meaningful business insights
- Strong communication and stakeholder engagement skills
- Experience within professional services or a regulated environment is advantageous
Benefits & conditions
- Opportunity to shape data-driven decision-making within a leading law firm
- Work on high-impact, real-world projects with senior stakeholders
- Collaborative and forward-thinking environment
- Exposure to cutting-edge tools, innovation and digital transformation initiatives
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