Data Science Manager

Apply on JLP Jobs - the official careers website for John Lewis Partnership, John Lewis & Partners, and Waitrose & Partners.

At a glance

This is a hybrid working role, therefore your time will primarily be split between working from home and the London/ Head Office. However, there will also be an expectation to visit other locations as the need arises.

Our team currently works from the office once a week to connect and on a more ad-hoc basis to attend key meetings, but again the frequency is dependent on the business needs.

Expected Salary: £59,000 - £85,000
Contract type: This position is a permanent role.

What you will do

You will be self-motivated and be able to work effectively together with a range of stakeholders to improve business decision making using data science methods. You will be accountable for our roadmap and deliverables within an assigned business domain within Commercial, Retail and Supply Chain. This will also mean managing the associated stakeholders and team members within that domain.

Day-to-day, you will:

1. Analyse and link complex data sets so that they can support actionable insight and recommendations.
2. Identify ideas and take ownership of opportunities to drive business impact with data science.
3. Transform data and build models to optimise customer experience, profit revenue generation, cost reduction and other business outcomes.
4. Be passionate about statistics and machine learning and be able to convey a thorough understanding of the benefits and use cases of these across the business to a variety of audiences.
5. Design and develop end-to-end solutions to business problems, from defining the problem, through solution development, to implementation and driving business adoption.

Internally the vacancy is known as Insight Manager, Data Science.

Essential Skills and Experience

1. Hands-on Expertise: Proficient in data science, with coding experience in Python and SQL, and the ability to mentor others.
2. Technical Proficiency: Experience with ML Ops (Dataiku and Vertex AI), Git version control, and software engineering best practices.
3. Problem-Solving and Innovation: A passion for tackling business challenges and applying new data science techniques.
4. Communication and Collaboration: Excellent communication skills, experience working in cross-functional teams, and the ability to build data science roadmaps with stakeholders.
5. Business Acumen: Adept at working with stakeholders to identify and prioritise key problems, and optimise against KPIs to achieve their objectives.

Desirable Skills and Experience

1. People management experience.
2. Retail and grocery work experience.
3. Experience using Agile methodologies.
4. Experience with Cloud technologies (ideally GCP).

Next Steps

The application form consists of a CV upload, followed by application questions. Please save the application questions to a Google docs before entering on Workday.

Internal applicants please copy paste this link on to the browser for job outline - https://bit.ly/InsightsMgrDS

Once you've submitted an application the next steps of the process, if successful, will include a 1st stage virtual interview followed by a more detailed Stage 2 Interview. You'll be asked about any adjustments you might need to support the recruitment process. Let us know, and we'll be sure to discuss it with you.

The core of this role is to help the Partnership make insight-driven, better informed, customer-centric decisions specifically in our Commercial, Retail and Supply Chain domains.

In order to do this, you will need to work closely with teams across these domains Partnership, getting close to their world, hearing their problems and spotting the opportunities to make improvements. You will use your analytical mindset and knowledge of the customer to improve the speed and quality of decision making.

A Data Scientist focused on the Commercial, Retail and Supply Chain domains would typically solve problems such as Demand Forecasting, Price Optimisation and a range of other Constrained Optimisation tasks such as optimising markdowns to reduce food waste or setting the optimal safety stock in Distribution Centres. This role sits within a central Data Science team that covers John Lewis, Waitrose and John Lewis Money.

We are looking for someone who is passionate about solving these types of business problems across a broad spectrum of techniques that extend far and wide across consumer facing touchpoints that drive real impact in day to day situations. The successful applicant will play a hands-on role in shaping, building and deploying business solutions alongside stakeholders and other Data Scientists and ML Engineers.