Associate Data Scientist - Hybrid Working - London/Home
Why join us
In Customer Data Science (part of the Data Science Hub), we build the systems behind personalised customer decisioning – from customer segmentations to offer optimisation. We impact millions of customers, bringing them value and earning their loyalty.
This team already personalises all of the offers you see in the Nectar app, but now we’re growing in ambition and scale. We aim to personalise everything that matters – offers, online recommendations, digital experiences, communications. And we aim to achieve this using our incredible data asset, our rich customer understanding, and state of the art machine learning and AI.
This role will work in a team dedicated to personalising our customer experiences, developing new capability while optimising the technology we already have. You’ll apply your experience and ideas to design, build, and improve our capabilities – driving value for the customer and the business.
What you’ll do
Solve the hard problems
- Work on the technical development of algorithms and pipelines that will deliver against our strategic objectives.
- Iterate our modelling and optimisation capabilities, applying the most appropriate techniques to use for each commercial problem.
Embody and improve best practice
- Align to best practice across modelling, experimentation, deployment, and model lifecycle management.
Be an enthusiastic member of our community
- Bring new ideas for future approaches, including state of the art techniques where appropriate.
- Understand how our business really works, including by supporting our stores during peak trading periods.
- Actively contribute to our vibrant Data and Analytics community of over 800 colleagues, providing a view on new techniques and approaches that can drive positive change in wider teams.
Who you are
We’re looking for a highly motivated self-starter who owns their own development – you’ll know what you don’t know, and you’ll use the experienced team around you to advance quickly. You need to thrive in a challenging role, and want to balance technical rigour against our need to deliver commercial and customer value.
Value delivery
- Experience in a Data Science role (or equivalent academic experience).
- A strong ability to communicate ideas to audiences of varying technical background and seniority.
Data Science expertise
- Strong grounding in statistical modelling and machine learning.
- Strong understanding of the “how” behind the algorithm; ability to select the right technique for a given objective and avoid pitfalls.
- Curiosity, scepticism and attention to detail regarding data quality, samples, bias and ethics.
Production-grade design
- Extensive programming ability across Python and strong ability to use SQL, with a proven experience of building working ML.
- Understanding of working with production codebases, such as version control.
Development
- A strong awareness and understanding of technology trends and direction in Data Science, analytics and AI.
Essential Criteria
- Experience in Data Science roles or equivalent academic experience
- A strong ability to communicate ideas to audiences of varying technical background and seniority
- Strong grounding in statistical modelling and machine learning, including predictive modelling
- Extensive programming ability across Python and strong ability to use SQL
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