Data Scientist – Personalisation



This job posting expired and applications are no longer accepted.
Asda
Published
20.08.2024
Location
Leeds, United Kingdom
Job Type
Hybrid Working Opportunity
TELECOMMUTE

Location: Asda House- Leeds

Employment Type: Full time; Permanent; 37.5 hours a week

Hybrid working opportunity: Yes

Closing Date: 06 September 2024

 

“Everything about Asda”

We are a values-led organisation. As such we encourage everyone to be open and honest. We work creatively and collaboratively, valuing everyone’s input.

Our collaborative culture, the size of our business and our belief in the empowerment of the individual means opportunities at Asda are abundant.

We conduct £300m worth of transactions every week. Our website handles over 2 million transactions a month. We have more than 145,000 dedicated Asda colleagues ensuring that our customers are at the heart of everything we do.

“Everything you’ll love”

  • Minimum 24 days annual leave per year plus 8 bank holidays – Making sure you take time for your self and switch off
  • 4 weekly pay – which means you get an extra payday a year
  • Digital GP and Wellbeing sessions – Asda genuinely cares so we create a culture where our people can perform at their best, the physical health and mental wellbeing of all our people is very important to us
  • Discount off your shopping at Asda and George - with extra discounts running throughout the year – really makes a difference, saving the colleagues an average of £700 a year
  • Career development and apprenticeship and graduate schemes - we want our colleagues to excel and grow with our business. (Link to grad scheme on Asda page)
  • Free city centre parking – you can also use it outside working hours

Plus, much more!

“That’s more like it”

Working within the data and analytics team you will work directly within our data science team to produce complex data science models to identify and deliver business value across a number of key business processes. We support all areas of the business ranging from space optimisation in stores to analysing reasons for poor product availability within our stores.

You will be part of a team within a diverse data function, as well as supporting activities across the wider organisation, requiring a strong team work ethic and a desire to develop working relationships. This role provides many opportunities to further develop your communication, technical and analytical skillsets and help support us in putting the customer first.

As Asda moves through its digital and data transformation, you'll be joining Asda at the right time. Leveraging data and analytics is a foundation to Asda's transformation strategy and you would be at the very heart of this!

For this specific role, we are on the hunt for a data scientist with their expertise and enthusiasm for crafting cutting-edge personalization solutions. The ideal candidate will possess a robust foundation in data science, with at least 1 years of professional experience, and a demonstrated proficiency in Python and SQL. Knowledge of PySpark, Databricks and Azure is highly desired, as these platforms form an integral part of our data infrastructure. This role is not just about analytics; it also involves a hands-on approach to productionising models and build components to support MLOps.

Your Role:

  • Develop and refine algorithms for personalised user experiences across our platforms.
  • Utilize Python, PySpark and SQL to manipulate data and build scalable models for personalisation.
  • Employ Databricks for collaborative data exploration, manipulation, and visualisation.
  • Collaborate closely with the engineering team to integrate personalization solutions into production.
  • Engage in all stages of model development, from conception to deployment and monitoring.
  • Analyze A/B testing results and other data to continuously improve the personalization algorithms.
  • Communicate complex data-driven insights to stakeholders in a clear and actionable manner.
  • Stay abreast of emerging trends and best practices in data science and personalization.
  • Support maintenance MLOps infrastructure, ensuring seamless model deployment and scalability.

About You:

  • A minimum of 1 years of experience in a Data Scientist role, with a focus on personalization is a plus.
  • Strong programming skills in Python and proficiency in SQL are required, knowledge and experience with PySpark is a plus.
  • Familiarity with machine learning, statistical analysis, A/B testing, and predictive modeling techniques, especially models and algorithms can be used to do personalisation.
  • Excellent problem-solving skills, find insights from data and through experimentation, and the ability to work in a fast-paced, dynamic environment.
  • Strong communication skills, capable of conveying complex ideas to technical and non-technical audiences.
  • A team player who is also capable of working independently when required.
  • Proven track record of developing and deploying machine learning models in a production environment.
  • Experience working in personalisation solutions
  • Experience with Databricks and Cloud platform (especially Azure)

Education:

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related technical field.

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.

 

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.

 

APPLY HERE: Data Scientist-Personalisation

 

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