Data Scientist (27084) in London

Please note, this role can be remote based in the UK or EU.

*If you are based in the EU and having problems submitting your application due to a postcode error, please use the postcode CV10 7RH. If you continue to have problems please message jonkeane@hollandandbarrett.com*

Holland & Barrett International is striving to be the world's leading health and wellness business.  Currently the largest in Europe and growing in other markets, the health and wellness of our colleagues and customers is at our heart.  

Ready for an EPIC career? 
 
We are seeking a passionate and experienced Data Scientist to join our dynamic Data Science team at Holland and Barrett. As a Data Scientist, you will collaborate closely with other teams such as Data Engineering, BI, Data Warehousing, and Product Analytics to develop and deploy data science solutions across the business.

About the role

• Implement and optimize Marketing Mix Modelling (MMM) techniques to measure the effectiveness of marketing strategies.
• Explore and implement advanced analytics frameworks, such as Robyn, to enhance the accuracy and efficiency of MMM models.
• Utilize your expertise in R (and Python) to build state-of-the-art machine learning models and algorithms.
• Deploy machine learning processes in production systems using tools like airflow, Docker, and CI/CD.
• Assess and calculate the value generated by machine learning processes, contributing to data-driven decision-making.
• Stay up-to-date with the latest trends and innovations in Data Science, bringing new ideas and approaches to the team.
• Collaborate with product managers, business stakeholders, and technical teams to define and deliver the data science roadmap.
• Effectively communicate complex results and insights to non-technical audiences.
• Collaborate closely with the rest of the Data and Analytics department to drive a culture of innovation and excellence.

Skills and experience

• Experience working in a Data Science environment, with a focus on building and deploying machine learning solutions.
• Proficiency in developing and maintaining scripts and algorithms in R, with the ability to also code in Python for broader compatibility.
• Strong knowledge of advanced SQL, as our data warehouse is built on Amazon Redshift.
• Experience deploying machine learning models in production environments using tools like airflow, Docker, or similar.
• Excellent knowledge of version control systems like git.
• Familiarity with Large Language Models (LLMs) and their application in data science projects is a plus.
• Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams.
• An innovative mindset, always seeking new ideas and approaches to drive improvements.
• BSc and MSc in Data Science, Machine Learning, or a related field.

Our benefits

• We operate virtually. Remote, hybrid or in our tech hubs – we work in an agile environment where you can thrive.
• We offer a 10% bonus – when we win, so do you
• Learn from the best – at H&B you'll have the opportunity to enhance and expand your skills and shape your career
• We want you to produce your best, so we provide you with the best tech equipment
• Stay healthy with a 25% discount on all product ranges to help you live well
• We like to recognise and celebrate our people with our Colleague Recognition Scheme, so your hard work won't go unnoticed

About H&B

Holland & Barrett is one of the nation's most loved and trusted brands, known for offering quality health food, vitamins and supplements all sold by highly trained and qualified advisors.

Our culture respects equality, values diversity and encourages individuality – because this allows our people to unlock their potential and be their best. We welcome everyone who shares our EPIC values regardless of background, culture, disability, ethnicity, gender identity or sexual orientation. 

We are a growing and pioneering business.  Our diverse and EPIC teams enable us to push boundaries and accomplish the extraordinary.  As we continue to transform, we need more of the brightest and best minds to join us to turn our vision into a reality.