Data Scientist - Davies Consulting

ZipRecruiter; London; Remote; GBP 45,000 - 70,000; Full time

Job summary

A leading insurance services provider is seeking a Data Scientist to join its award-winning team in the UK & Ireland. The successful candidate will leverage advanced analytics, machine learning, and Python to drive strategic decision-making within a dynamic environment. Opportunities will include mentoring less experienced colleagues and collaborating with cross-functional teams to enhance business objectives while staying abreast of emerging AI trends.

Benefits

Davies Incentive Plan

25 days holiday per year

Family Private Medical Insurance

Health Care Cash Plan

Mental health support

Death in Service benefits

Critical Illness Cover

Pension Contribution

Employee Volunteering Programme

Cycle to Work Scheme

Gym Flex

Qualifications

• Experience with Generative AI and LLMs preferred.
• Proficiency in data manipulation and analysis.
• Solid understanding of ETL processes and T-SQL.

Responsibilities

• Develop and implement machine learning models for insurance services.
• Design and maintain data pipelines for data integrity.
• Provide actionable insights through predictive analytics.

Skills

Python

Machine Learning

Predictive Modelling

Data Insights

Statistical Analysis

Education

Bachelor's degree in Statistics

Bachelor's degree in Mathematics

Tools

TensorFlow

Pandas

NumPy

Job description

Job Description

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 & Ireland 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 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 clearly to stakeholders.
• Stay updated with emerging AI trends and their applications in the insurance industry.
• Recommend statistical/machine learning tools and technologies to prototype new concepts.
• Retrieve and collect open and closed data sources, including data processing, cleansing, and verification.
• Work with developers to integrate third-party applications where applicable.
• Serve as the subject matter expert for machine learning techniques, aiding real-world problem solutions.
• 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, 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 with classifiers, regression, and decision trees.
• Experience with programming languages such as C#.
• Solid understanding of ETL processes and T-SQL.
• Bachelor's degree in Statistics, Mathematics, or a related quantitative discipline.
• Good coding practices, including testing, clean coding, and reading others' code.
• Technical mindset with experience setting up environments, troubleshooting, and infrastructure work.

Benefits

• Davies Incentive Plan
• 25 days holiday per year, increasing with service (option to buy/sell 3 days)
• Family Private Medical Insurance (Bupa), with options to extend to family
• Simply Health Care Cash Plan
• WeCare 24/7 online GP, mental health support, and wellbeing resources
• Death in Service benefits
• Critical Illness Cover
• Private Health Insurance and Income Protection
• Pension Contribution: 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
• Gourmet Society Membership Discount
• Discounted Merlin Attractions Tickets
• Local retail discounts

*After successful probation