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Data Scientist London, England

Kingfisher

Full Time London, England 68000 - 76001 GBP ANNUAL Today

Job description

Overview:

We’re Kingfisher. You might know us as B&Q, Screwfix, Castorama, Brico Depot or Koçtaş. We’re made up of over 79,000 passionate people, call over 1,300 stores home and operate in 8 countries. That’s right, we’re big, but we have ambitions to become even bigger and even better. We want to become the top tier home improvement company and grow the largest community of home improvers in the world. And that’s where you come in. Kingfisher is an exciting, inspiring place to be. We establish the strategy that leads the business. We drive innovation to encourage our customers. We set the tone of our global business. It can be exciting, but that goes hand in hand with the ability to make a difference – to the business, to the many people around the world that work for us, and to our customers

What's the job?:

Reporting to the Lead Data Scientist We are looking for a talented Data scientist to help Develop and deploying core ML/AI algorithms required to tackle data science challenges in Kingfisher group.

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

What we need::

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

This is an exciting opportunity to join our global business. In return, we provide an inspirational working environment, a competitive benefits package and opportunities to stretch and grow your career. Interested? Great, apply now!

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