Senior Machine Learning Engineer

Overview

We’re Kingfisher, A team made up of over 76,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas - to life. That’s right, we’re big, but we have ambitions to become even bigger and even better. 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!

We are looking for a Machine Learning Engineers at Senior to join our growing team, to develop and deploy core ML/AI algorithms required to tackle data science challenges across Kingfisher Group. You will support data science projects from start to production, developing quality code and carrying out automated build and deployments, working closely with colleagues in the Data Science team as well as stakeholders across the business.

Responsibilities

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• Develop high-quality machine learning models to solve business challenges
  
• Develop production quality code and carry out basic automated builds and deployments
  
• Write comprehensive, well written documentation that meets our needs
  
• Identify work and dependencies, tracking progress through a set of tasks
  
• Communicate clearly with colleagues and business stakeholders
  
• Proactively share ideas with colleagues and accept suggestions
  
• Ability to work on multiple data science projects and manage deliverables
  

Qualifications

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• 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), state-of-the-art research area (e.g. NLP, Transfer Learning etc) and modern 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
  

Our Behaviours

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• Be Customer Focused – constantly improving our customers’ experience
  
  • 
    
  • I listen to my customers
    
  • I use available data to help make decisions
    
  
  
  
• Be Human – acting with humanity and care
  
  • 
    
  • I do the right thing
    
  
  
  
• Be Curious – thrive on learning, thinking beyond the obvious
  
  • 
    
  • I build and share new ideas
    
  • I try new things and share my learnings
    
  
  
  
• Be Agile – working with trust, pace and agility
  
  • 
    
  • I have courage to be creative
    
  • Done is better than perfect, I aim for 80/20
    
  
  
  
• Be Inclusive – acting inclusively in diverse teams to work together
  
  • 
    
  • I embrace allyship
    
  • I have self-awareness and a desire to learn
    
  
  
  
• Be Accountable – championing the plan to deliver results and growth
  
  • 
    
  • I own my actions
    
  • I understand the Kingfisher plan and how it relates to my role
    
  
  
  

At 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. Find out more about Diversity & Inclusion at Kingfisher.

What we offer

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• Private Health Care: Opportunity to receive up to family level cover with AXA. Join within three months of starting or at annual renewal in April. (This benefit is subject to Benefit In Kind taxation).
  
• Kingfisher Pension Scheme: Immediate eligibility through auto-enrolment. Contribute 8% to receive a max 14% from the Company.
  
• 25 Days' Holiday: 25 days per annum plus bank holidays as stated in your contract (pro rated for part time colleagues).
  
• Staff Discount: 20% discount at B&Q and Screwfix. Eligible after 3 months service.
  
• Kingfisher Share Incentive Plan (SIP): Share ownership in a tax efficient way. Save between £10 to £150 per month. Join at any time once three months service is reached.
  
• Life Assurance: x4 Salary plus benefit equal to value of your Retirement Account (if an active member of KPS-MP) or x1 Salary if not active member.
  
• Bonus: Competitive bonus scheme that aligns to work level of role.
  
• Kingfisher Share Save: Save with the option to buy Kingfisher plc shares at the end of a 3 or 5 year period. Offered annually. Three months service is required at the annual invitation date, normally in October.
  

Our Behaviours

At Kingfisher, we are united by our 6 core behaviours

• 
  
• Constantly improving our customer experience
  
• Acting with humanity and care
  
• Be curious
  
• Thriving on learning, thinking beyond the obvious
  
• Be inclusive
  
• Acting inclusively in diverse teams to achieve together
  
• Be agile
  
• Working with trust, pace and agility
  
• Be accountable
  
• Championing the plan to deliver results and growth
  

Our employees know us best. We wouldn’t be Kingfisher without them. So, we want to share what they think with you.

Development and progression is a high priority at Kingfisher, I’ve always felt well supported.

I’m proud to work for Kingfisher, I’ve had great opportunities that have enabled me to contribute to an exciting forward-thinking company.

Training & Development

There are so many ways you can grow, learn, and develop here at Kingfisher. At whatever pace suits you.

Conversations with senior leaders

Resources and tools to help you grow

Improving without instruments to help you learn is near impossible. That\'s why we make sure you have everything at your fingertips to find exactly what you need to keep growing.

Initiatives that measure development

With plans that ask you what you want to achieve and when you want to achieve them by, tracking progress and keeping development at the forefront of conversation is easy.

Find your path

The scale of group functions within Kingfisher is huge. That means you have the chance to build different career paths within multiple areas of the organisation.

Sharing is caring

We aren\'t selfish here at Kingfisher. Whatever your level of experience, you\'ll work with colleagues who are always welcoming and ready to share their knowledge whenever you need it.

Reach for the stars

So your ambitions are high? Good thing we have opportunities to find experiences in line with more senior roles and responsibilities. Here, you can evolve your career, no matter your level.

Why Kingfisher

We’re an innovative, international retailer on a journey to actively make a difference. Always striving to take that next step. You can be part of the difference. From bottom to top you can progress in a collaborative environment. So, why not Kingfisher?

Application Process

1. 
   
2. Application: Send in your application via our Kingfisher Careers website.
   
3. Review: A member of the Talent Acquisition team will then review your application let you know if you have progressed to the next stage of the process.
   
4. Interview 1: You’ll then have a telephone interview/one to one conversation with a recruiter.
   
5. Interview 2: As you progress, you’ll be invited to attend a face to face or virtual interview.
   
6. Feedback: Your recruiter will be in contact with feedback and, if successful, the details of your job offer!
   

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