At a Glance
- Tasks: Develop and enhance predictive models using SAS in a hybrid work environment.
- Company: Join Capgemini, a leader in data and AI with a commitment to inclusivity.
- Benefits: Enjoy a competitive salary, flexible working, and opportunities for professional growth.
- Other info: Be part of a supportive team with excellent career advancement opportunities.
- Why this job: Make an impact by building statistical models that drive real business insights.
- Qualifications: 5-10 years of SAS programming experience and strong analytical skills.
The predicted salary is between 60000 - 80000 £ per year.
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).
Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.
Your Role:
- 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.
Your 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.
We are a 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.
SAS Engineer – London, Uk – Hybrid – Fulltime – London employer: Recruit4Mum
Capgemini is an exceptional employer that fosters a dynamic and inclusive work culture, offering SAS Engineers the opportunity to thrive in a hybrid environment in London. With a strong emphasis on professional development, employees benefit from continuous learning and growth opportunities while working on impactful projects in data and AI. The company's commitment to diversity and support for individuals with disabilities further enhances its reputation as a rewarding place to build a meaningful career.
