Data Science Personalisation Manager



This job posting expired and applications are no longer accepted.
ASDA
Published
21.04.2023
Location
Leeds, United Kingdom
Job Type
Hybrid Working Opportunity
TELECOMMUTE

Is Data Science your true passion? Do you want to lead and develop a recently formed team building Data Science and Machine Learning solutions to drive our omni-channel customer personalisation and recommendation capabilities?

You will join the Asda Customer Decision Science and Analytics team to lead a recently formed team focussing on building personalisation and recommendation models to power targeted customer communications. You will build solutions aligned to our Loyalty and Targeting roadmap, working very closely with our omni-channel customer engagement and existing ML/AI build team.

Your work will help bring our customer centric strategies to life. As Asda moves through a digital transformation, you'll be joining Asda at the right time. Leveraging data and analytics is a critical area of transformation and you would be at the very heart of this!

Your Role

  • Collaborate with internal stakeholders to develop a prioritised plan for building the desired outcomes and measures for customer personalisation and recommendations.
  • Lead a team to build and productionise market-leading personalisation and recommendation data products to enhance our omni-channel customer experience.
  • Work in an agile way towards delivering personalisation at scale through "always-on" omni-channel marketing.
  • Work with stakeholders to design experiments that quantify the performance of your data products.
  • Mine and analyse big data sets, leveraging data science skills and techniques to build data products that make a positive difference.
  • Be confident extracting, querying, and manipulating data from multiple sources; and working with Data Engineers to define requirements operationalisation of data pipelines.
  • Stay up to date with the latest Machine Learning and Deep Learning algorithms that power personalisation. These techniques involve a complex mix of statistics, probability, optimization methods to personalise content according to customer preferences.
  • Clearly articulate team's work and document, track, and present accomplished tasks through tools such as JIRA, GitHub, Confluence, etc.

About You

  • A highly experienced data, personalisation/digital and insight professional with expertise in applying data science to customer-facing outcomes.
  • Experience of leading a team of high performing Data Scientists who have built and operationalised personalisation/recommendation solutions.
  • Experience in campaign building and testing methodologies.
  • Fully conversant in modern Machine Learning/statistical concepts including Regression, Classification, Ensemble Methods, Deep Learning and Reinforcement Learning.
  • Demonstrable knowledge of some, or all of: SQL, Python, Spark within cloud environments.
  • Strong hands-on skills in sourcing, cleaning, manipulating, and analysing large volumes of data using distributed computing platform.
  • Experience of using Machine Learning frameworks.
  • Experience working with Data Engineering teams to efficiently productionise end-to-end processes.
  • Experience working on ranking, online advertising, recommender systems, eCommerce or relevant areas.
  • Experienced with end-to-end modelling projects emerging from research efforts.

Hybrid Working 

Work Where it Works. Our hybrid way of working gives you the choice to work where it works. This enables you to complete your daily tasks where you will 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. We would love to talk to you about this.

You will also get an excellent benefits package including:

  • Company car or £5,700 car allowance, plus 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.

If you have any questions, then please email jaime.armstrong@asda.co.uk

We are proud supporters of Women in Data®.  Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.

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