Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data, model outcomes, and deliver insights to drive media strategies.
- Company: Join the dynamic team at Very, a leading digital retailer.
- Benefits: Enjoy flexibility, great perks, and opportunities for personal growth.
- Other info: Collaborative environment that encourages innovation and continuous learning.
- Why this job: Make a real impact on millions of customers while developing your skills.
- Qualifications: Proficient in Python and SQL, with a passion for data science.
The predicted salary is between 50000 - 60000 £ per year.
About us
We’re the team behind digital retailer Very. Our purpose, helping families get more out of life, powers everything we do. And we want our people to get more out of life too! If you’re high-performing, ambitious and make the most of every opportunity, we want to hear from you. In return, you’ll enjoy heaps of flexibility, great perks and benefits, and the freedom to be yourself, keep learning and take your career wherever you want it to go. If you love making a difference, you’ll love making it sparkle for millions of Very customers.
About the team
Our Data Science teams work across the business in a number of areas to help drive innovative, collaborative and iterative solutions to challenging problems. You will work closely with various business areas to drive insights, improve our products and help create more effective solutions. Typical Data Science projects may involve Experimentation, Marketing, Retail and Operations or Digital Product and CX. The key thing that all our teams do is support our business colleagues to make bold data driven decisions that drive value for our business and our customers.
About the role
What do we look for... We are seeking an outcome driven data scientist who is comfortable working as part of a wider team. You will have demonstratable ability to solve problems and establish working relationships with others, including key stakeholders who may or may not hold the same level of technical expertise as yourself. It is vitally important that you are eager to learn, to get involved and to work on a number of different challenges and business problems. The Very Group is a constantly evolving environment to work in, and being comfortable with change and embracing it as an opportunity to develop personally and professionally is essential. Collaboration and knowledge sharing are vitally important and encouraged within the team. Self-development is important for us. We see both learning together as a team through the process of delivery and individual learning to build specific skills to be able to contribute more to the team, as important. We will give you the time and tools to do this!
What we do
We utilise sophisticated analytical techniques and statistical modelling to support many areas of the business and contribute to their success. This can range from working on how we measure and optimise our marketing spend, how we make stock purchasing decisions, to how do we diagnose the crucial customer challenges in our digital customer experience and make recommendations to improve them.
- Launched demand forecasting models to provide daily demand recommendations for 100,000s of SKUs to help support more effective product planning and buying decisions.
- Developed and launched a suite of price optimisation models to support the business’ pricing and promotions strategy.
- Utilised Machine Learning NLP techniques to analyse customer feedback as part of our NPS survey which helps us to diagnose customer pain points more accurately.
- Adoption of a Quasi Experimentation methodology to provide more robustness to our measurement testing of business changes.
- Launched a suite of individual product recommendations within email communications to our customers.
- Drove data decisioning of our contact strategy for our retail media proposition as part of Very Media Group.
These recent wins highlight the importance of the function. Demand for the team is always greater than what we can meet. Data is at the very heart of our business with board level visibility of many of the projects we work on.
How we work:
We work with many different parts of our business, adopting working styles to best suit collaboration. The team champions innovation and a pioneering spirit for constant development. Our teams are empowered to deliver complex projects and develop a strong culture of friendship and collaboration. We encourage our team members to feel part of the wider data community.
Does this sound like you...
- A theoretical command of a range of different models and analytical techniques.
- Knowledge of Data Science techniques gained through academic study or practical experience.
- Proficient in Python with an ability to produce readable, well-structured reusable code, along with demonstrable experience in data wrangling, cleaning and pre-processed data.
- Proficient in SQL, with the ability to extract and manipulate data.
- Comfortable working with Git-based workflows (e.g. pull requests, code reviews) to support team collaboration and continuous integration.
- Eagerness to learn and develop technical skills as well as being happy to share knowledge with others.
- Previous experience solving problems, anticipating issues and challenges in data processes and the ability to find opportunities to improve processes and ways of working.
- Ability to take people on a journey with you, tailoring your communications to non-technical audiences is essential.
What will you be responsible for...
- Leading the analysis, modelling and interpretation of model outcomes to deliver actionable insights that inform media strategies and campaign planning.
- Collaborating with internal teams across Analytics and Insight, Marketing Channels and the Very Media Group to optimise campaign outcomes.
- Supporting the business partners to identify the right questions to enable meaningful strategic decisions, translating those questions into data science problems.
Data Scientist employer: Very Group
Contact Detail:
Very Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at Very on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for getting your foot in the door. Personal connections can make all the difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with Python, SQL, and data modelling techniques. We want to see how you can apply your knowledge to real-world problems!
✨Tip Number 3
Show off your collaborative spirit! Be ready to share examples of how you've worked with others to solve complex problems. Highlighting your teamwork skills will resonate well with our culture at Very.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Very!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data science shine through! Share specific examples of projects or experiences that sparked your interest in the field. We love seeing candidates who are genuinely excited about making a difference with data.
Tailor Your Application: Make sure to customise your application to reflect the skills and experiences that align with our job description. Highlight your proficiency in Python, SQL, and any relevant analytical techniques. We want to see how you can contribute to our team and help us drive innovative solutions!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon where possible, especially when explaining technical concepts. Remember, we want to understand your thought process and how you can communicate effectively with both technical and non-technical audiences.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and it helps us keep track of all applications. Plus, you’ll get to see more about our culture and what we’re all about while you’re at it!
How to prepare for a job interview at Very Group
✨Know Your Data Science Stuff
Make sure you brush up on your data science techniques and models. Be ready to discuss your experience with Python, SQL, and any analytical methods you've used. They’ll want to see that you can not only talk the talk but also walk the walk when it comes to solving real-world problems.
✨Show Your Collaborative Spirit
Since collaboration is key in this role, think of examples where you've worked with others to tackle challenges. Be prepared to share how you’ve communicated complex data insights to non-technical stakeholders. This will show that you can bridge the gap between data and decision-making.
✨Embrace Change and Learning
The Very Group values adaptability, so come ready to discuss how you've handled change in previous roles. Highlight your eagerness to learn new skills and how you’ve taken initiative in your personal development. This will resonate well with their culture of continuous improvement.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Think about specific challenges you've encountered in data processes and how you overcame them. Being able to articulate your thought process will demonstrate your analytical mindset and readiness to tackle the challenges at Very.