Senior Data Scientist

Harnham

Greater London

Hybrid

GBP 75,000 - 85,000

Full time

21 hours ago
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Benefits offered by this job

Hybrid working
Performance bonus
Pension
Learning & development

Job summary

Harnham leads high-value Data Science projects within the insurance sector, delivering advanced analytics that inform underwriting, pricing and customer strategy. The Senior Data Scientist will guide modelling initiatives, mentor colleagues, and collaborate with stakeholders to translate business challenges into analytical solutions.

The role emphasises production-ready modelling, governance and impact across commercial outcomes, with a flexible hybrid working arrangement and ongoing

Qualifications

  • Strong commercial Data Science experience within insurance or financial services.
  • Experience building predictive models and ML solutions delivering measurable business value.
  • Advanced Python skills for ML, statistics and data analysis.
  • Strong SQL skills with large, complex datasets.

Responsibilities

  • Developing and deploying predictive models to support underwriting, claims, pricing and customer initiatives.
  • Applying machine learning and statistical techniques to solve business challenges.
  • Leading end-to-end Data Science projects from problem definition to deployment and monitoring.
  • Partnering with stakeholders to identify opportunities for data-driven decision-making.
  • Presenting insights and recommendations to both technical and non-technical audiences.
  • Supporting best practice across modelling, experimentation and model governance.
  • Mentoring junior team members and contributing to the growth of the Data Science function.

Skills

Predictive modelling
Machine learning
Python
SQL
Stakeholder engagement
Mentoring

Job description

Are you looking to take the next step in your Data Science career within the insurance sector? This is an opportunity to join a highly data-driven insurance business where machine learning and advanced analytics are central to decision-making across underwriting, claims, pricing and customer strategy.

The Company

They are an established insurance company that continues to invest heavily in its Data & Analytics capability. Data Science plays a key role in driving commercial performance, improving customer outcomes and supporting strategic decision-making across the organisation. With a collaborative culture and strong leadership support for analytics, this is an environment where Data Scientists can make a visible impact.

The Role

As a Senior Data Scientist, you will lead the delivery of high-value analytics and machine learning projects, working closely with stakeholders across the business.

Responsibilities include:
  • Developing and deploying predictive models to support underwriting, claims, pricing and customer-focused initiatives
  • Applying machine learning and statistical techniques to solve complex business challenges
  • Leading end-to-end Data Science projects from problem definition through to deployment and monitoring
  • Partnering with business stakeholders to identify opportunities for data-driven decision-making
  • Presenting insights and recommendations to both technical and non-technical audiences
  • Supporting best practice across modelling, experimentation and model governance
  • Mentoring junior team members and contributing to the growth of the wider Data Science function
Your Skills & Experience
  • Strong commercial Data Science experience within insurance or broader financial services is essential
  • Experience building predictive models and machine learning solutions that deliver measurable business value
  • Advanced Python skills for machine learning, statistical modelling and data analysis
  • Strong SQL skills and experience working with large and complex datasets
  • Understanding of insurance domains such as pricing, claims, underwriting, fraud, risk or customer analytics
  • Experience engaging with stakeholders and translating business challenges into analytical solutions
  • Exposure to cloud-based data environments and deploying models into production is beneficial
  • Previous experience mentoring colleagues or leading projects would be advantageous, but applicants do not need to have held a Senior Data Scientist title previously
What They Offer
  • £75,000 - £85,000 base salary depending on experience
  • Performance-related bonus
  • Competitive pension and benefits package
  • Flexible hybrid working arrangement
  • Ongoing learning and development opportunities
  • Clear career progression within a growing Data & Analytics function
  • The opportunity to work on business-critical Data Science initiatives with significant organisational visibility
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