
Graduate Data Scientist London, England
Job description
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 advocate the benefits of a flexible and hybrid working environment, recognising that this means different things, to different people, in different roles. Want to apply as a job share or propose a way of working that isn’t the traditional 9am – 5.30pm, Monday through to Friday? We’re all ears!
- Develop high-quality machine learning models to solve business challenges.
- Develop production quality code and support data science projects from start to production.
- Understanding and ability to apply most standard methodologies and principles
- Able to carry out basic automated builds and deployments - Write comprehensive, well written documentation that meets our needs -
- Identify work and dependencies, and supervise progress through a set of tasks
- Get along with colleagues and the broader team - Proactively share ideas with colleagues and accept suggestions
- Engage in dialogue with partners to meet their request
- Ability to work within the team in provide support to the rest of data science team.
- Ability to work on multiple data science projects and run results
- Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture
- Solid understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and Deep Learning algorithms (e.g. BERT, LSTM, etc.)
- Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc.).
- Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data
- Solid understanding of summary, robust, and nonparametric statistics; hypothesis testing, probability distributions, sampling techniques, and stochastic processes.
- Solid communications and soft skills to manage stakeholders demands
We’re adopting a hybrid approach with some office and some home working, on average 40-60% in the office. Your office location? This person will be UK based with our Head Office in Paddington, or we could explore the option of being based in one of our other retail banners head offices in Southampton or Yeovil.
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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