Data Scientist - Demand & Workforce Forecasting (Hybrid) in Basingstoke

Data Scientist - Demand & Workforce Forecasting (Hybrid) in Basingstoke

Basingstoke Full-Time 40000 - 55000 Β£ / year (est.) No working from home possible
Automobile Association

At a Glance

  • Tasks: Transform complex data into actionable insights for demand forecasting and workforce management.
  • Company: Join the AA, a leading organisation in roadside assistance across the UK.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborate with data engineers and AI teams in a dynamic environment.
  • Why this job: Make a real difference by using data to enhance national roadside operations.
  • Qualifications: Strong Python/SQL skills and experience with operational data are a must.

The predicted salary is between 40000 - 55000 Β£ per year.

The AA in the United Kingdom is seeking a Data Scientist to turn complex data into practical solutions for demand forecasting, workforce deployment, and operational decision support across national roadside operations.

You will build and deploy models, apply ML techniques, and work with data engineers and AI teams to embed scalable algorithms into AA platforms.

Strong Python/SQL skills and experience with operational data are essential.

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Data Scientist - Demand & Workforce Forecasting (Hybrid) in Basingstoke employer: Automobile Association

The Automobile Association in Southampton is an exceptional employer, offering a unique opportunity for Mobile Mechanics to work independently while receiving comprehensive training and support. With a strong focus on employee growth and inclusivity, the company provides guaranteed earnings and an attractive benefits package, making it a rewarding place to build your career in the automotive industry.

Automobile Association

Contact Details:

Automobile Association Recruitment Team

We think you need these skills to ace Data Scientist - Demand & Workforce Forecasting (Hybrid) in Basingstoke

Data Analysis
Machine Learning Techniques
Python
SQL
Model Building
Operational Data Experience
Collaboration with Data Engineers