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We're Kingfisher, a team made up of over 82,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas - to life. We want to become the leading home improvement company and grow the largest community of home improvers in the world. And that's where you come in.
At Kingfisher, our customers come from all walks of life, and so do we. We want to ensure that all colleagues, future colleagues, and applicants to Kingfisher are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression or sexual orientation.
We are open to flexible and agile working, both of hours and location. Therefore, we offer colleagues a blend of working from home and our offices, located in London, Southampton & Yeovil. Talk to us about how we can best support you!What's the jobLead the implementation of data science projects and data science approaches to support commercial goalsDevelop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of workingCollaborate with tech, product and data teams to develop the data platforms that allow us to apply data science and embed the use of data science directly in our products and processesSupport diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and resultsBe a champion and role model for the application of data science across the Kingfisher groupSupport the data leadership team in developing a "data culture" and demonstrating the value of data in our decision makingLead our efforts to develop the data science (and broader customer analytics) "brand" at Kingfisher for both internal and external audiencesWhat you'll bringProven experience delivering high-quality AI-based products and productionisation of Machine Learning based productsProven experience developing cloud-based machine learning services using one or more cloud providers (preferably GCP)Excellent understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.)Strong knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib)Strong software development skills (Python is the preferred language)Proven experience in deploying ML/AI services using Kubernetes & KubeFlowStrong management and leadership skills - previous experience managing a teamStrong influencing, communication and stakeholder management skillsBe Customer Focused
- constantly improving our customers' experienceBe Human
- leading with purpose, humanity and careBe Curious
- thrive on learning, thinking beyond the obviousBe Agile
- building trust and empowering people to work with agilityBe Inclusive
- inspiring diverse teams to achieve togetherBe Accountable
- owning the plan, delivering results and growthAt Kingfisher, we value the perspectives that any new team members bring, and we want to hear from you. We encourage you to apply for one of our roles even if you do not feel you meet 100% of the requirements.In return, we offer an inclusive environment, where what you can achieve is limited only by your imagination! We encourage new ideas, actively support experimentation, and strive to build an environment where everyone can be their best self.We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career.Interested? Great, apply now and help us to Power the Possible.
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