Lead Portfolio Analytics Data Scientist (Underwriting)

Skillful

Slough

Hybrid

GBP 80,000 - 105,000

Full time

8 days ago
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Benefits offered by this job

10% bonus
Work from anywhere days
Private medical cover
Pension matching up to 7.5%
25 days holiday + 2 days tenure
WFH setup budget
EV scheme + cycle to work
Parental leave
Learning and training budget

Job summary

Skillful is seeking a Lead Portfolio Analyst to join in London or Hampshire, combining underwriting analytics, pricing and data science to influence live underwriting decisions.

You will report to the underwriting manager and Chief Underwriting Officer, with ~70% hands-on work and 30% leadership of projects and junior analysts. This role drives real impact on coverage, rates and portfolio footprint.

Qualifications

  • Broad underwriting analytics, pricing, and data science experience.
  • Ability to explain complex findings clearly to senior stakeholders.
  • Experience building and deploying models that shape decision-making.

Responsibilities

  • Analysing portfolio performance and identifying where coverage, rates or footprint need adjusting
  • Building fraud detection models and identifying new risk signals at point of quote
  • Working with the panel of underwriters to improve how they assess and select risk
  • Exploring non-traditional data sources to sharpen underwriting decisions
  • Getting models into production so they're shaping live underwriting decisions every day
  • Helping junior analysts develop their thinking and technical skills

Skills

Python
R
SQL
GBMs
Fraud analytics
Data enrichment

Tools

BigQuery
Azure

Job description

Skillful is seeking a Lead Portfolio Analyst to join in London or Hampshire, combining underwriting analytics, pricing and data science to influence live underwriting decisions.

You will report to the underwriting manager and Chief Underwriting Officer, with ~70% hands-on work and 30% leadership of projects and junior analysts. This role drives real impact on coverage, rates and portfolio footprint.

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