Lead Machine Learning Engineer

Kingfisher plc; Greater London; On-site; GBP 90,000 - 130,000; Part time

Benefits offered by this job

Private Health Care

Kingfisher Pension Scheme

25 Days’ Holiday

Staff Discount

Kingfisher SIP

Life Assurance

Bonus

Kingfisher Share Save

Job summary

Kingfisher plc is seeking a senior data science leader to drive AI initiatives across its brands. You will lead a team of Machine Learning Engineers, shape data platforms, and partner with tech, product and data teams to apply data science throughout products and processes.

You will champion a data-driven culture, translate business needs into data work, and build the data science brand for internal and external audiences.

Qualifications

• Proven experience delivering AI-based products and productionisation of ML.
• Proven experience developing cloud-based ML services using one or more cloud providers (preferably GCP).
• Excellent understanding of classical ML algorithms and modern DL algorithms.
• 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).
• Strong management and leadership skills – previous experience managing a team.
• Strong influencing, communication and stakeholder management skills.

Responsibilities

• Lead the implementation of data science projects to support commercial goals.
• Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working.
• Collaborate with tech, product and data teams to develop data platforms enabling data science.
• Support diverse teams in translating between business and data in design of project work and communication of results.
• Be a champion and role model for data science across the Kingfisher group.
• Support the data leadership team in developing a data culture and demonstrating value of data.
• Lead efforts to develop the data science brand for internal and external audiences.

Skills

AI/ML products

Cloud ML services

SQL & Python ecosystem

Python programming

Leadership

Stakeholder management

Communication

Tools

GCP

Python

Jupyter

Job description

We’re Kingfisher, a team made up of over 74,000 passionate people who bring Kingfisher and all our other brands such as B&Q, Screwfix, Brico Depot, Castorama and Koçtaş to life. We aim to become the leading home improvement company and grow the largest community of home improvers in the world.

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 hours and locations. We offer colleagues a blend of working from home and our offices.

Responsibilities

• Lead the implementation of data science projects and data science approaches to support commercial goals.
• Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working.
• Collaborate 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 processes.
• Support diverse teams in translating between business and data in the design of project work, and in the synthesis and communication of recommendations and results.
• Be a champion and role model for the application of data science across the Kingfisher group.
• Support the data leadership team in developing a “data culture” and demonstrating the value of data in our decision making.
• Lead our efforts to develop the data science (and broader customer analytics) “brand” at Kingfisher for both internal and external audiences.

Qualifications

• Proven experience delivering high-quality AI‑based products and productionisation of Machine Learning based products.
• Proven 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).
• Strong management and leadership skills – previous experience managing a team.
• Strong influencing, communication and stakeholder management skills.

Benefits

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

4× Salary plus benefit equal to value of your Retirement Account (if an active member of KPS‑MP) or 1× 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.