Join to apply for the Data Scientist role at Keoghs
Join to apply for the Data Scientist role at Keoghs
Description
Department : Legal
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 Plan25 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 PlanWeCare – 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 wellbeingDeath in ServiceCritical Illness CoverPHI / Income Protection (Private health insurance)Pension Contribution based 5% Employee / 3% EmployerEmployee Resource GroupsEmployee Volunteering ProgrammeCycle to Work SchemeTech SchemeSeason Ticket LoanGym FlexAccess to Online Discount SitesDiscounted Gourmet Society MembershipDiscounted Tickets for Merlin Attractions nationwideDiscounts at local retail outletsafter successfully completing probationSeniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information Technology
Industries
Law Practice
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