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SAS Engineer

Remote / Online - Candidates ideally in
Greater London, London, Greater London, W1B, England, UK
Listing for: Capgemini
Remote/Work from Home position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    Data Engineering, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Role: SAS Engineer (Insurance domain experience is must)

Location: London, UK

Overview: This role focuses on SAS-based model development, enhancement, validation, and deployment across pricing, risk, and predictive modelling domains. You will work on building end-to-end statistical models, developing robust SAS code, preparing high- quality documentation, conducting model testing, and supporting productionisation activities. The role requires strong analytical abilities, SAS programming expertise, and hands‑on experience throughout the Model Development Lifecycle (MDLC).

Work environment: The places that you work from day to day will vary according to your role, your needs, and those of the business; a blend of company offices, client sites, and home; noting that you will be unable to work at home 100% of the time.

Responsibilities
  • Develop and enhance predictive, pricing, and statistical models using SAS.
  • Build modelling datasets and perform feature engineering.
  • Implement model logic, scoring code, and segmentation rules.
  • Write efficient SAS programs for modelling and analysis.
  • Perform model testing, backtesting, and validation checks.
  • Analyse large datasets to generate insights and recommendations.
  • Convert prototype models into production‑ready SAS code.
  • Collaborate with IT/Data Engineering for model deployment and monitoring.
Qualifications & Skills
  • 5–10 years of strong SAS programming experience.
  • Expertise in Base SAS, SAS Macros, Data Step, and SAS SQL.
  • Experience with SAS EG or SAS Studio.
  • Strong understanding of regression, forecasting, and segmentation models.
  • Hands‑on experience in the full model development lifecycle (MDLC).
  • Strong data extraction, cleansing, and feature engineering capability.
  • Ability to work with large datasets and complex workflows.
  • Strong analytical, documentation, and problem‑solving skills.
Disability Confident Employer

Capgemini is proud to be a Disability Confident Employer (Level
2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

  • Declare they have a disability, and
  • Meet the minimum essential criteria for the role.
  • Please opt in during the application process.
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