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Hastings Direct

Senior Data Scientist

Hastings Direct

. Lead predictive modelling projects from problem definition through development, validation, production integration and ongoing monitoring .

Posted 9/29/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in predictive modelling and machine learning techniques, with a strong focus on delivering data science solutions that drive business decisions. Proficient in leading teams, establishing best practices, and collaborating across multi-disciplinary environments to enhance modelling capabilities.

Highest-signal resume keywords
Predictive ModellingMachine Learning TechniquesSQL ProficiencyPython and ML LibrariesTeam Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Predictive ModellingMachine Learning TechniquesSQL ProficiencyPython ProgrammingData PreparationModel ValidationData Feature EvaluationTechnical ReviewVersion Control with GitCloud-Based ML Platforms
Soft Skills
Technical LeadershipStakeholder InfluenceClear CommunicationCollaborative Work
Tools & Technologies
Azure Machine Learning StudioSnowflakeGit
Industry Keywords
General InsuranceData Science StrategyBest-Practice StandardsCommercial Value Generation

Tech Stack

Tools & technologies
AzureCloudPythonSQL

About the role

Key responsibilities & impact
  • Lead predictive modelling projects from problem definition through development, validation, production integration and ongoing monitoring
  • Master Hastings’ systems, processes and technology to maximise team effectiveness
  • Identify, assess and prepare new data features, evaluating predictive value, stability, interpretability and customer pricing impact
  • Build and promote reusable, maintainable and reproducible modelling tools, pipelines and development practices
  • Lead a small team of data scientists and support their technical development
  • Work with senior leaders to shape data science strategy and improve modelling capability, processes and ways of working
  • Establish and contribute to best-practice standards for modelling, software development, testing, documentation and deployment
  • Participate in recruitment screening, introductory and case study interview stages

Requirements

What you’ll need
  • Deep understanding of predictive modelling and machine learning techniques, including linear and gradient boosted models
  • Demonstrable experience delivering data science solutions that influenced business decisions and generated measurable commercial value
  • Strong SQL skills, including extracting, transforming and preparing data for predictive modelling
  • Proficiency and experience using Python and ML libraries to build and integrate data science products
  • Experience using Git for version control and collaborative software development
  • Ability to lead technical discussions, influence senior stakeholders and explain complex analytical concepts clearly
  • Experience working collaboratively across multi-disciplinary teams
  • Experience reviewing the technical work of other data scientists
  • Desirable: experience using Azure Machine Learning Studio or similar cloud-based ML platforms
  • Desirable: experience using Snowflake or similar cloud-based data platforms
  • Desirable: experience leading, supporting and mentoring junior colleagues
  • Desirable: experience applying data science or predictive modelling within general insurance
  • Thorough referencing process including credit and criminal record checks

Benefits

Comp & perks
  • Car allowance
  • Annual 4Cs performance bonus
  • Flexible and hybrid working approach
  • Support, training and development
  • Recognition and rewards
  • Private medical insurance
  • Life assurance cover of 4x salary
  • Income protection
  • Pension contribution match up to 10%
  • Retailer and own-product discounts and cashback
  • Fee-free independent mortgage advice
  • Free financial wellbeing support
  • Mental wellbeing programme
  • Thrive mental health app
  • 24/7 colleague assistance programme
  • In-house mental health first aiders
  • Support groups and dedicated mental health support team
  • 27 days annual leave plus bank holidays
  • Option to buy or sell one contracted week of leave
  • Healthcare cashback plans
  • Dental plans
  • Discounted health assessments
  • Cycle-to-work scheme
  • Technology schemes
  • Discounted and free onsite facilities
  • Social events throughout the year