Data Scientist Role at Currys
At Currys, we’re united by one passion: to help everyone enjoy amazing technology. As the UK’s best-known retailer of tech, we’re proud of the service our customers receive – and it’s all down to our team of 25,000 caring and committed colleagues. Working as one team, we learn and grow together, celebrating the big and small moments that make every day amazing.
This role includes defining business requirements, managing stakeholders to agree outputs and desired outcomes, development of data feeds and data models, code and dashboards that would be delivered to the end users. The data scientist will be expected to act as an advisor to the wider commercial teams on what could be achieved and proactively offer suggestions of how to improve the quality of decision-making.
Role overview:As part of this role, you'll be responsible for:
- Working as part of a project team, contribute to the development of the solution. This could include defining data sources, building ETL routines, developing algorithms, testing and training the model, developing end user reporting and writing up model documentation.
- Customer analytics including customer segmentation, customer churn, etc.
- Proposition development and optimisation (e.g. for credit, warranties, other services).
- Product and range analytics, including range optimisation.
- Working with senior colleagues, develop an approach and a detailed plan for the delivery of the solution.
- Stakeholder management: build relationships with business teams, understand their requirements, and drive collaborative way of working with colleagues in the data analytics community.
The data science team provides analysis for numerous departments including Commercial, Marketing, Operations, Product teams and many others every day. You will have a drive to learn and master new technologies and techniques and keep up to date with developments in data analytics.
You will need:
- Advanced analytics, e.g. AI, machine learning optimisation and simulation, predictive analytics, advanced statistical techniques and concepts.
- Strong problem-solving skills - able to break down complex problems into core components; identify key drivers of performance and change; link back into wider business context.
- Able to communicate data and insight easily to various functions at all levels of the business – ability to distil findings at the appropriate level for the audience.
- Understand core analytical techniques.
- Track record in delivering data science projects.
- Experience in data engineering.
- Degree in decision science, engineering, mathematics, physics, operational research, econometrics, statistics, or another quantitative field.MSc / PhD in a STEM subject or experience in a data science role using such tools as: SQL, Python, R and Power BI.
We know our people are the secret to our success. That's why we're always looking for ways to reward great work. You'll find a host of benefits designed to work for you, including:
- Company Bonus.
- Pension.
- Hybrid Working.
- Store Discount Cards.
Why join us:
Join our team and we'll be with you every step of the way, helping you develop the career you want with new opportunities, ongoing training and skills for life.
Not only can you shape your own future, but you can help take charge of ours too. As the biggest recycler and repairer of tech in the UK, we’re in a position to make a real impact on people and the planet.
Every voice has a space at our table and we're committed to making inclusion and diversity part of everything we do, including how we strengthen our workforce. We want to make sure you have a fair opportunity to show us your talents during our application process, so if you need any additional assistance with your application please email and we'll do our best to help.
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