Job Title

Location

Employment Type

Contract Type

Hours Per Week

Salary

Competitive salary plus benefits.

Category

Closing Date

In this exciting role, you'll uncover insights, optimize processes, and drive innovation across the entire value chain. Your work will directly impact our supply, merchandising, and sales, making a significant difference to the business.

Responsibilities:

• Uncover Hidden Insights: Dive deep into data to reveal trends and patterns that will shape the future of our business.
• Harness the Power of Machine Learning: Use advanced machine learning techniques to tackle diverse challenges and drive operational excellence.
• Optimize for Success: Implement state-of-the-art optimization algorithms to streamline processes and maximize efficiency.
• Visualize the Future: Create visualizations that transform complex data into actionable insights for our stakeholders.
• Collaborate Across the Value Chain: Work with passionate teams from supply to merchandising, ensuring seamless integration and impactful data-driven strategies.
• Leverage Cutting-Edge Technology: Utilize the latest Azure stack, with a primary focus on Databricks, to build and manage innovative data solutions.

Minimum Qualifications:

• Educational Background: Degree in a mathematical field such as Mathematics, Statistics, Computer Science, or a related discipline.
• Experience: Proven experience with data science products and tools, demonstrating a strong ability to apply data science techniques to real-world problems.

Work Where it Works

Our hybrid way of working gives you the choice to work where it works.  This enables you to chose where you’ll be the most effective.  It offers a mix of working from home and in an office environment that works best for you and your team. 
You will also get an excellent benefits package including;-

•    Discretionary company bonus
•    Company pension up to 7% matched
•    10% colleague discount, free parking and many additional rewards.
 
We want all colleagues to be able to bring their best and true selves to work, every day. Simply put, we want our colleagues to be Proud to be Asda and proud to be themselves