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SAS Engineer
About the Role
You will focus on SAS-based model development, enhancement, validation, and deployment across pricing, risk, and predictive modelling domains. Key responsibilities include:
- Building end-to-end statistical models
- Developing robust SAS code
- Preparing high-quality documentation
- Conducting model testing
- Supporting productionisation activities
The role mandates strong analytical abilities, SAS programming expertise, and hands-on experience throughout the Model Development Lifecycle (MDLC). Insurance domain experience is essential.
Hybrid Working Arrangement
Your work schedule will be hybrid, blending:
- Company offices
- Client sites
- Home (though 100% remote work will not be permitted)
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
Requirements
Skills & Experience
- 5–10 years of strong SAS programming experience
- Expertise in:
- Base SAS
- SAS Macros
- Data Step
- SAS SQL
- Proficiency with SAS EG or SAS Studio
- Strong understanding of:
- Regression
- Forecasting
- Segmentation models
- Hands-on experience in the full Model Development Lifecycle (MDLC)
- Strong capabilities in:
- Data extraction
- Data cleansing
- Feature engineering
- Handling large datasets and complex workflows
- Strong analytical, documentation, and problem-solving skills
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Disability Confident Employer Initiatives
Capgemini is a Disability Confident Employer (Level 2). As part of their commitment to inclusive recruitment, interviews will be offered to all candidates who:
- Declare they have a disabled.**
- Meet the Essential Selection Criteria ( ESC ) for the role. Note: Opt in during the application process.
Make It Real – Capgemini’s Commitment to Wellbeing
Join an accredited Great Place to Work for Wellbeing (2024).
Benefits Include:
- Employee Wellbeing is prioritised as a critical component for achieving organisational goals.
- Access to trained Mental Health Champions across business areas.
- Wellbeing support via platforms like Thrive and Peppy.
Learning & Growth
- Embrace Capgemini’s "learning for life" mindset.
- Training through thinktanks and hackathons.
- Access to 250,000+ courses, including certifications from:
- AWS
- Microsoft
- Harvard ManageMentor
- Cybersecurity qualifications
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Ethical Culture
- Ranked as one of the World’s Most Ethical Companies® (Ethisphere®) for 13 consecutive years.
- Commitment to ethical business choices and inclusive cultures in every decision.
Why Join Capgemini?
- Trade skills for impact: Contribute to growing businesses and a more sustainable future
- Collaborative community: Engage with free-thinkers, entrepreneurs, and industry experts
- Innovative solutions: Explore how technology can reimagine possibilities and transform leading businesses
- Personal and professional growth: Learn from peers, gain experience, and shape future opportunities
About Capgemini
Capgemini is an AI-powered global business and technology transformation partner, delivering measurable business value by combining:
- Business creativity
- Strategic foresight
- Technical expertise in AI, technology, and people
Key Strengths:
- Nearly 60 years of heritage with a diverse, responsible workforce of 420,000+ across 50+ countries.
- End-to-end services powered by deep industry expertise and partnerships.
- €22.1 billion global revenues (2024).
For more details: www.capgemini.com
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