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- Tasks: Join our team to build predictive models and tackle exciting data challenges.
- Company: Be part of Boots, a trusted leader in healthcare and retail.
- Benefits: Enjoy flexible benefits, generous discounts, and a supportive work environment.
- Why this job: Make a real impact by using data to enhance customer experiences.
- Qualifications: Degree in a quantitative field and experience with machine learning and programming.
- Other info: Diverse and inclusive workplace with opportunities for growth and development.
The predicted salary is between 28800 - 48000 £ per year.
We are looking for a passionate Data Scientist to join the award-winning Data Science Innovation team in our Nottingham office. You will work on diverse challenges across our departments, from understanding customer behaviour to forecasting demand and personalising the shopping experience. This is an opportunity to work with rich datasets at scale and see your work build growth. If you are numerate, logical, and curious about customer behaviour, we would love to hear from you.
Key responsibilities:
- Build predictive models and analytical solutions for challenges such as demand forecasting, customer segmentation, and product recommendations.
- Provide deep analytics in multiple departments.
- Develop machine learning models into production environments.
- Apply data science techniques to support analysis questions from the business.
- Communicate recommendations to both technical and non-technical audiences.
- Stay current with the latest techniques and tools in data science and developing our capabilities and best practices.
What you will need to have (our must-haves):
- A degree in a quantitative discipline such as mathematics, statistics, data science, computer science, physics, or economics (or equivalent practical experience).
- Experience with statistical methods, and experience applying machine learning techniques in a business context.
- Programming proficiency with a coding language such as Python, with experience using libraries such as pandas, scikit-learn, PyTorch or similar.
- Experience working with SQL and handling large datasets.
- The ability to translate business questions into analytical problems and present complex findings in accessible ways.
- The skills to organise and prioritise workload, balancing operational activity and development.
It would be great if you also have:
- Experience in retail, e-commerce, pharmacy, healthcare, or consumer-facing industries.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud and Databricks.
- Understanding of MLOps practices and model deployment.
- Knowledge of data visualisation tools such as PowerBI.
Rewards designed for you:
- Boots Retirement Savings Plan.
- Discretionary annual bonus.
- Generous employee discounts.
- Enhanced maternity/paternity/adoption leave pay and gift card for anyone expecting or adopting a child.
- Flexible benefits scheme including option to buy additional holiday, discounted gym membership, life assurance, activity passes and much more.
- Access to free, 24/7 counselling and support through TELUS Health, our Employee Assistance Programme.
There is lots more in our benefits and discounts, MyBoosts - there to give you that little lift in your everyday. Find out more at boots.jobs/rewards. Exclusions may apply; eligible roles only.
About The Boots Group:
The Boots Group is a trusted leader in healthcare, pharmacy and retail, operating across 11 countries - including the UK, Ireland, Thailand and Mexico. The Boots Group brands - including Boots, Boots Opticians, No7 Beauty Company, Farmacias Benavides and Alliance Healthcare - are trusted and well recognised healthcare and beauty businesses, serving millions of customers and patients every day in communities around the world. We are proud to be an equal opportunity employer, passionate about embracing the diversity of our colleagues and providing a positive and inclusive working environment for all.
What’s next:
If you apply, our team will be in touch to let you know the outcome of your application or to arrange next steps. We advertise a role as full-time, and we are open to discussing part-time and job share options during the application process. If you require additional support as part of the application and interview process, we are happy to provide reasonable adjustments to help you to be at your best. This role requires you to complete a Pre-employment check after receiving an offer. Depending on your location, we will ask you to submit either a DBS (Disclosure & Barring Service), PVG (Protection of Vulnerable groups) or an Access NI Check. Boots is a Ban the Box employer and will consider the suitability of applicants with criminal convictions on a case-by-case basis. We hope to hear from you soon. Be brilliant with Boots.
Data Scientist - Predictive Modelling & Machine Learning in Nottingham employer: The Boots Company PLC
Contact Detail:
The Boots Company PLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Predictive Modelling & Machine Learning in Nottingham
✨Tip Number 1
Network like a pro! Reach out to current employees at Boots or in the data science field on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your predictive models and machine learning projects. When you get that interview, having tangible examples will help you stand out and demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your coding skills in Python and SQL. Use platforms like LeetCode or HackerRank to solve problems that might come up during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Boots team. Let’s get you that job!
We think you need these skills to ace Data Scientist - Predictive Modelling & Machine Learning in Nottingham
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data science shine through! We want to see how excited you are about predictive modelling and machine learning, so share any relevant projects or experiences that fuel your passion.
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your experience with statistical methods, machine learning techniques, and programming languages like Python. We love seeing how your skills align with our needs!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language to explain your experience and how it relates to the job. Remember, we need to understand your qualifications quickly, so avoid jargon where possible.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at The Boots Company PLC
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of predictive modelling and machine learning techniques. Be ready to discuss specific projects where you've applied these skills, especially in a business context. This will show that you can translate complex data into actionable insights.
✨Showcase Your Programming Skills
Since programming proficiency is key for this role, be prepared to talk about your experience with Python and relevant libraries like pandas and scikit-learn. You might even want to bring examples of code or projects you've worked on to demonstrate your capabilities.
✨Communicate Clearly
You'll need to explain your findings to both technical and non-technical audiences, so practice how you present complex data in simple terms. Think about how you can make your insights relatable and understandable, as this is crucial for the role.
✨Stay Current and Curious
The field of data science is always evolving, so show your enthusiasm for learning new techniques and tools. Mention any recent courses, certifications, or projects that reflect your commitment to staying updated in the industry. This will highlight your passion and proactive approach.