Senior Data Scientist (13543) in London

Do you want to make a difference by building a next-generation data processing and analytics platform in the cloud in a greenfield environment? Holland and Barrett is a successful business focusing on making people healthier and happier. We started in 1870 and today, we are a highly profitable global Health and Wellness retailer with more than 1,000 shops worldwide, and we are the largest health and wellness retailer in the UK.

You will join the Data Science and Analytics team in London. You will work closely with Data Engineers and Business Stakeholders on delivering value, ranging from topics like supply chain optimisation to loyalty schemes. You will be working both internally and with business stakeholders. Long-term, you will work on optimising and automating the Data Science workflow to build the basis for our prescriptive analytics and artificial intelligence strategy where self-optimising solutions make independent, intelligent decisions.

Holland and Barrett are committed to its transformation into a technology and data-driven business. We hired an outstanding CTO with a long history of success in turning retailers into technology-driven businesses. We are bringing together highly talented and experienced people like yourself to build our data processing and analytics platform. We love the cloud, data, analytics and data science, and building our own solutions. We embrace the continuing evolution of Data Science and want to be at the forefront of building repeatable, automated Data Science and Machine Learning solutions to reduce or remove the Data Scientist's efforts on time-consuming, low impact, repeat tasks like data wrangling or rebuilding models with new data.

You have experience in solving real-world problems with machine learning using a variety of tools. You know how to solve a problem as well as how to deploy it into production, measuring and updating it as needed over time. You love working closely with data engineers and others in cross-functional teams to develop solutions iteratively. Importantly, you are pragmatic and experienced, able to identify and solve common problems swiftly and effectively with tools and libraries and you don't reinvent the wheel.

· Business

o   Collaborate with business and other stakeholders

o   Help (alongside Lead Data Scientists / Data Science Managers) translating business ideas to measurable and optimisable machine learning problems

o   Help plan delivery

·       Data

o   Exploration and ad-hoc preparation

o   Feature engineering

o   Collaboration with Data Engineers for automation or additional ingests

·       Machine Learning

o   Define metrics and measures

o   Identifying relevant algorithms and libraries

o   Selecting candidate algorithms based on experience and knowledge

o   Prototyping solutions to narrow options and parameters

o   Hyperparameter Tuning

o   Evaluating algorithms

o   Collaborating with Platform, Data and Software Engineers for production deployment and automation

o   Collaborating in developing repeatable framework for common ML problems