SAS Engineer – Hybrid: Model Development & Deployment in London

SAS Engineer – Hybrid: Model Development & Deployment in London

London Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop and deploy predictive models using SAS in a collaborative environment.
  • Company: Recruit4Mum, committed to inclusive recruitment and flexible work.
  • Benefits: Hybrid work model, competitive salary, and a supportive team culture.
  • Other info: Great opportunity for career growth in a flexible workplace.
  • Why this job: Join a dynamic team and make an impact with your analytical skills.
  • Qualifications: 5–10 years of SAS experience and strong data handling abilities.

The predicted salary is between 50000 - 70000 Β£ per year.

Recruit4Mum is seeking a SAS Engineer in London for a hybrid role focusing on model development and analytical tasks. This position requires strong SAS programming skills and a collaborative approach to deploying models and insights.

The ideal candidate will have 5–10 years of experience in SAS and a solid understanding of predictive modelling and data handling. This role offers flexibility in the workplace as part of a commitment to inclusive recruitment.

SAS Engineer – Hybrid: Model Development & Deployment in London employer: Recruit4Mum

Recruit4Mum is an excellent employer that values flexibility and inclusivity, making it an ideal workplace for SAS Engineers looking to thrive in a collaborative environment. With a strong focus on employee growth and development, the company offers opportunities to enhance your skills in model development and deployment while working in the vibrant city of London. Join us to be part of a supportive culture that prioritises meaningful contributions and professional advancement.

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Contact Details:

Recruit4Mum Recruitment Team

We think you need these skills to ace SAS Engineer – Hybrid: Model Development & Deployment in London

Communication Skills
Problem-Solving Skills
Python
Attention to Detail
SQL
Automation
Data Engineering