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For Companies At a Glance
- Tasks: Analyse data, model outcomes, and deliver insights to drive media strategies.
- Company: Join the innovative team at Very, a leading digital retailer.
- Benefits: Enjoy flexible working, 27 days holiday, and a £250 benefits allowance.
- Why this job: Make a real impact by solving data challenges for millions of customers.
- Qualifications: Proficient in Python and SQL, with a passion for data science.
- Other info: Collaborative environment with opportunities for personal and professional growth.
The predicted salary is between 28800 - 48000 £ per year.
About Us
We are the team behind digital retailer Very. Our purpose, helping families get more out of life, powers everything we do. If you are high-performing, ambitious and make the most of every opportunity, we want to hear from you. In return, you will enjoy flexibility, great perks and benefits, and the freedom to be yourself, keep learning and take your career wherever you want it to go.
About The Team
Our Data Science teams work across the business in various 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
We are seeking an outcome-driven data scientist (12 month FTC) who is comfortable working as part of a wider team. You will have demonstrable 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 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 we diagnose 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.
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 & choosing appropriate models to solve it. Presenting model outcomes and strategic recommendations to brand partners, fostering trusted relationships that encourage repeat investment. Contributing to improving Data Science methodologies code base and capabilities. Defining problems, scoping and planning projects. Self-managing the delivery of objectives as part of a team. Proactively trying to solve blockers.
Some of our Benefits
Flexible, hybrid working model. Inclusive culture and environment. £250 flexible benefits allowance to suit your needs. 27 days holiday + bank holidays. Udemy learning access. Bonus potential (performance and business-related). Up to 25% discount on Very.co.uk. Matched pension up to 6%. More benefits can be found on our career site.
How To Apply
Please note that the talent acquisition team are managing this vacancy directly, and if successful in securing this role, you will be required to undertake a credit, CIFAS, Right to Work checks and if a specific requirement of your role a DBS (criminal records) check. Should your application progress we require you to let the team know if there is anything you need to disclose in relation to any of these checks prior to them being undertaken, including any unspent criminal convictions.
What happens next
Our talent acquisition team will be in touch if you're successful so keep an eye on your emails! We'll arrange a short call to learn more about you, as well as answer any questions you have. If it feels like we're a good match, we'll share your CV with the hiring manager to review. Our interview process is tailored to each role and can be in-person or held remotely. You can expect a two-stage interview process for this position: An informal 30-minute video call with the hiring team to discuss your skills and relevant experience. A one-hour formal interview where you can expect both competency and technical questions (task based).
As an inclusive employer please do let us know if you require any reasonable adjustments. If you'd like to know more about our interviews, you can find out here.
Equal opportunities
We're an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Data Scientist - 12 Month FTC in Liverpool employer: The Very Group
Contact Detail:
The Very Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - 12 Month FTC in Liverpool
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Very on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by practising common data science questions. Think about how you can showcase your problem-solving skills and technical knowledge in a way that’s easy for non-techies to understand.
✨Tip Number 3
Show your passion for learning! During interviews, mention any recent courses or projects you've tackled. This shows you're eager to grow and adapt, which is super important in a fast-paced environment like 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 the Very team.
We think you need these skills to ace Data Scientist - 12 Month FTC in Liverpool
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your proficiency in Python, SQL, and any relevant data science techniques you've mastered. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data science and how it connects to our purpose at Very. Let us know why you're excited about this opportunity and how you can make a difference for our customers.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data challenges in the past. We love candidates who can demonstrate their ability to solve problems and improve processes, so don't hold back on sharing your successes!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates about your progress. Plus, it's super easy!
How to prepare for a job interview at The 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 machine learning methods you've used. The interviewers will 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 at Very, be prepared to share examples of how you've worked with others in the past. Highlight your ability to communicate complex ideas to non-technical stakeholders. This will show that you can bridge the gap between data science and business needs effectively.
✨Embrace Change and Learning
Very values a growth mindset, so express your eagerness to learn and adapt. Share instances where you've tackled new challenges or learned new skills. This will demonstrate that you're not just looking for a job, but are genuinely interested in growing with the company.
✨Prepare for Technical Questions
Expect both competency and technical questions during the interview. Brush up on your problem-solving skills and be ready to tackle task-based scenarios. Practising common data science problems can help you feel more confident and prepared to showcase your analytical abilities.
