Data Scientist - Davies Consulting

Data ScientistDavies Consulting London, United Kingdom

Data Scientist

Department:Legal

Employment Type:Permanent - Full Time

Location:Home United Kingdom

Description
New Opportunity , award winning team
Davies is a leading insurance services provider, delivering innovative solutions across claims management and risk analysis. As part of our UK & Ireland IT team, you will play a critical role in harnessing data to drive decision-making and efficiency.

Role Overview
As a Data Scientist within Davies UK & I IT, you will be responsible for extracting meaningful insights from complex datasets to support strategic decision-making. You will leverage advanced analytics, machine learning techniques, Large Language Models (LLMs), Generative AI and Python programming to build scalable data-driven solutions.

Key Responsibilities
Develop and implement machine learning models, including LLMs, to optimize insurance services and automation. Apply advanced Python techniques to manipulate and analyse large datasets.
Design and maintain data pipelines to ensure the integrity and accessibility of critical business data.

• Provide actionable insights through predictive analytics and statistical modelling.
• Collaborate with cross-functional teams to align data science initiatives with business objectives.
• Communicate complex data findings in a clear, concise manner to stakeholders.
• Stay up to date with emerging AI trends and their applications in the insurance industry.
• Recommend statistical/machine learning tools and technologies to prototype new concepts.
• Retrieval and collection of open and closed data sources, including data processing, cleansing and verification.
• Where applicable, work with developers to integrate specialist third party applications.
  Be the subject matter expert for machine learning techniques, aiding the development of solutions for real world problems.
  Mentor and coach less experienced colleagues.

Skills, Knowledge and Expertise
•Strong proficiency in Python, including libraries like Pandas, NumPy, TensorFlow, and PyTorch.

• Experience with Generative AI, Large Language Models (LLMs) and their practical applications.
• Expertise in data insights, analytics, and predictive modelling.
• Knowledge of cloud-based data platforms and infrastructure.
• Familiarity with insurance data, risk analysis, or financial services analytics (preferred but not essential).
• Excellent problem-solving and communication skills.
• Strong understanding of statistics and experience of applying quantitative skills and analytical methods, such as classifiers, regression and decision trees.
• Experience of programming, such as with C#.
• Solid understanding of ETL processes and T-SQL.
• Bachelor's degree in Statistics, Mathematics or equivalent quantitative discipline.
• Good coding practices in general, familiarity with testing, clean code writing, reading others code.
• General technical mindset, work outside Python such as setting up your own working environment, sometimes do infrastructure work, troubleshoot.

Benefits

• Davies Incentive Plan
• 25 days holiday per year which increases with level of service (opportunity to buy & sell 3 days)
• Family Cover Private Medical Insurance (Bupa) - will automatically be at single cover level but can opt into family option within first month of joining.
• Simply Health Care Cash Plan
• WeCare - 24/7 online GP, mental health support and virtual wellbeing covering a whole host of topics to do with health, mental health, wellbeing & healthy living and financial & legal wellbeing
• Death in Service
• Critical Illness Cover
• PHI/Income Protection (Private health insurance)
• Pension Contribution based 5% Employee / 3% Employer
• Employee Resource Groups
• Employee Volunteering Programme
• Cycle to Work Scheme*
• Tech Scheme*
• Season Ticket Loan*
• Gym Flex*
• Access to Online Discount Sites
• Discounted Gourmet Society Membership
• Discounted Tickets for Merlin Attractions nationwide
• Discounts at local retail outlets

* after successfully completing probation

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