Data Science Manager

Deliveroo; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a Data Science Manager to lead a diverse team in leveraging data for strategic decision-making. This role involves managing data scientists, guiding their career growth, and working closely with stakeholders to translate data insights into actionable plans. The ideal candidate will thrive in a dynamic environment, fostering a culture of excellence and collaboration. Join a vibrant community focused on innovation, where your contributions will directly impact the company's success and growth in the rapidly evolving marketplace.

Benefits

Healthcare

Well-being programs

Parental leave

Generous annual leave

Charitable time off

Qualifications

• Experience managing data scientists and guiding their career growth.
• Hands-on experience with experimentation and causal analysis.

Responsibilities

• Identify opportunities for data science to add value and translate insights into strategies.
• Lead a diverse team and manage multiple teams across different business areas.

Skills

Data Visualization

Causal Analysis

Experimentation

Machine Learning

Stakeholder Management

Education

Master's Degree in Data Science or related field

Bachelor's Degree in a quantitative field

Tools

Python

R

SQL

Job description

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About The Team

At Deliveroo, our outstanding data science organisation aims to enable top-tier human and machine decision-making. We collaborate across product, business, and platform teams using analysis, experimentation, causal inference, and machine learning techniques. Our goal is to leverage data to facilitate better decisions and enhance data literacy throughout Deliveroo.

Our team members employ a broad spectrum of technical skills: building analytical tools, informing decision-making with bespoke and automated analysis, running experiments, performing causal analysis, providing impact estimates for planning, developing production machine learning and optimisation models, and upskilling the company in data literacy and data-driven decision-making.

Data scientists at Deliveroo report to our data science management team. We foster a vibrant community with guest lecturers, a robust technical review process, a clear career progression framework, and ample learning opportunities. We offer career pathways for both managers and individual contributors. Our data scientists come from diverse backgrounds, united by a commitment to excellence.

About The Role

We seek a data science manager to join our management team. The ideal candidate will:

• Have experience managing data scientists and guiding their career growth.
• Possess hands-on experience as a senior-level individual contributor, familiar with experimentation, causal analysis, and data visualization.
• Identify opportunities where data science can add value, and translate insights into strategies and execution plans.
• Work comfortably with stakeholders up to C-level, guiding company strategy and explaining technical solutions clearly.
• Lead a diverse, high-performing team, fostering cohesion and excellence.
• Manage multiple teams across different business areas, with strong prioritization skills.
• Thrive in a fast-paced, ever-changing environment with high standards.
• Adopt a pragmatic, flexible approach focused on impact.

Workplace & Benefits

At Deliveroo, employees are our priority. Benefits vary by country but typically include healthcare, well-being programs, parental leave, pensions, and generous annual leave, including charitable time off. Please consult your recruiter for specific details.

Diversity

We believe a great workplace reflects the diversity of the world we live in. We welcome all backgrounds, genders, races, sexualities, religions, and identities. A passion for food and a desire to join a rapidly growing industry are all you need. We are committed to equity and inclusion, providing adjustments during the application and interview process as needed.

Additional Information

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and IT
• Industries: Internet, Marketplace Platforms