
Data Science Manager
On site
London, United Kingdom
Full Time
09-04-2025
Job Specifications
Data Science Manager
About the Team
At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo.
Our team members use technical skills from the whole spectrum of data science: building analytical tools; informing decision making at all levels of the business via bespoke and automated analysis; running experiments; performing causal analysis; informing planning and prioritisation with robust impact estimates; building production machine learning and optimisation models; and upskilling the entire company in data literacy and data driven decision making.
Data scientists at Deliveroo report into our data science management team, and we have a strong, active data science community with guest lecturers, a robust technical review process, a career progression framework, and plenty of opportunities to learn new things. We have career pathways for both managers and individual contributors.
Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not.
About the Role
We are looking for a data science manager to join our management team. We are looking for someone who:
Has experience line-managing data scientists and guiding their career development.
Has prior hands-on experience as a senior-level individual contributor, familiar with experimentation, causal analysis and data visualisation methods
Consistently identifies opportunities where data science and analytics can add significant value, and delivers on them by building roadmaps and translating insights into clear strategy and execution
Is comfortable working with stakeholders up to C-level, guiding company-level strategy and clearly explaining highly technical solutions to all audiences
Is able to bring together a group of individuals from many different backgrounds and skill sets to form a cohesive high-performing team
Is comfortable managing multiple teams in different business areas, and ruthlessly prioritising
Is comfortable working in an extremely fast, constantly changing environment, with incredibly high standards
Has a pragmatic, flexible approach, and most cares about achieving impact
Workplace & Benefits
At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information.
Diversity
At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry.
We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed.
Please click here to view our candidate privacy policy.
About the Company
Deliveroo is an award-winning delivery service founded in 2013 by William Shu and Greg Orlowski. Deliveroo works with approximately 176,000 best-loved restaurants and grocery partners, as well as around 150,000 riders to provide the best food delivery experience in the world. Deliveroo is headquartered in London, with offices around the globe. Deliveroo operates across 10 markets, including Belgium, France, Hong Kong, Italy, Ireland, Qatar, Singapore, United Arab Emirates, Kuwait and the United Kingdom. Know more
Related Jobs


- Company Name
- Everway (formerly n2y)
- Job Title
- Product Manager (Data Science)
- Job Description
- At Everway (formerly n2y/Texthelp), our goal is to lead the world in Neurotechnology software, helping transform the way we understand and are understood. We're a global community of over 550 team members spanning seven countries, including the UK, USA, Norway, Denmark, Sweden, Australia, and New Zealand. By understanding and addressing the unique needs of each individual, we're creating a world where differences are recognized and valued. A world where everyone can thrive. We can only achieve our goals and continue to grow by having high performing people in our team, people who share our goals and are passionate about our mission. We pride ourselves on our core values that are embedded within our culture. These are to be curious, have courage, and commit fully. Join us at Everway - together, we can unlock the full potential of every mind. Introduction We are seeking a Data Science Product Manager to lead the strategic use of data science and advanced analytics directly within our Product team. As our primary product-focused data expert, you'll independently leverage data-driven insights, predictive analytics, and strategic thinking to guide product strategy, enhance customer value, and drive innovation. You will work collaboratively with Product Managers, Designers, Developers, and Analysts to shape data-informed product decisions and solutions. This role combines strategic product leadership, hands-on data analysis, and the practical application of data science techniques to directly inform product roadmaps, development, and user experiences. Main Responsibilities Independently identify, collect, and analyze product and user data to generate insights that inform product strategies, roadmaps, and priority decisions. Define, track, and communicate key product metrics and KPIs, ensuring product decisions are consistently informed by meaningful data. Develop and apply advanced analytical techniques (e.g., predictive modeling, segmentation, regression, forecasting) to enhance products, discover user opportunities, and improve customer experiences. Own and continuously evolve the product analytics roadmap, proactively identifying new data sources, integrations, and analytics tools to advance product capabilities. Collaborate closely with cross-functional stakeholders (Product Managers, UX, Engineering, Systems, Marketing, RevOps) to translate complex data into actionable, strategic product initiatives. Clearly communicate analytical findings and strategic recommendations to leadership, product teams, and non-technical stakeholders through effective data visualization and presentations. Provide thought leadership within the Product organization, advocating best practices in data-informed decision-making and product development. Work with product and development teams to define data collection strategies, ensuring the right data is captured efficiently and effectively to support relevant business insights. Work collaboratively to harmonize, document, and maintain standardized product data models, ensuring consistent and reliable data usage across product teams. Essential Criteria 3+ years of experience in a data science or advanced analytics role, specifically supporting Product Management, preferably in SaaS environments. Proven ability to independently extract, interpret, and communicate actionable insights from large datasets. Strong proficiency in SQL and at least one statistical or analytical programming language (e.g., Python or R). Hands-on experience with data visualization tools (preferably Tableau) to clearly communicate insights and recommendations. Exceptional communication skills to effectively translate complex analytical insights into strategic product decisions for both technical and non-technical stakeholders. Proven experience defining and tracking product-related KPIs and metrics. Desirable Criteria Familiarity with data collection and management platforms such as Google Analytics, Application Insights, and Databricks, as well as product analytics platforms such as Pendo, Amplitude, Mixpanel, Segment, or similar. Experience working in Agile/Scrum product environments. Familiarity with documentation tools like Confluence, JIRA, or similar. Personal Attributes Self-driven, proactive, and comfortable operating independently. Curious and passionate about leveraging data for user-centric innovation. Collaborative and skilled at building relationships across diverse teams. Strong analytical mindset coupled with a strategic, user-focused approach to problem-solving. Adaptable, with the ability to translate complex data insights into clear product strategies. Join our team and enjoy a competitive salary with bonus opportunities, flexible work schedules, and comprehensive health and wellness benefits. We offer flexible time off plans, career growth through development programs, and a collaborative, innovative culture where your ideas matter. Ready to make an impact? Apply today and be part of a company that invests in your success! We are committed to providing a Drug-Free Workplace for all employees. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law. Please click the link for our Privacy Notice


- Company Name
- hackajob
- Job Title
- Data Quality Analyst
- Job Description
- hackajob is collaborating with Verisk to connect them with exceptional tech professionals for this role. Job Title Data Quality Analyst Job Overview We are seeking a skilled and detail-oriented Quality Analyst to join our team. The ideal candidate will have hands-on experience with Python scripting, data analysis and both manual and automated testing of applications supporting business objectives. In this role, you will collaborate closely with software engineers, AI scientists, and cross-functional teams to ensure the delivery of high-quality, reliable, and data-driven products and solutions. Key Responsibilities Analyze test data, logs, and other relevant information to identify issues and ensure high data quality. Own the software QA process, including developing, implementing, and maintaining test plans, scenarios, and cases. Perform both manual and automated tests for websites and applications. Write and maintain Python scripts to support data analysis. Analyze requirement and design specifications to develop relevant test cases. Develop and maintain automated test suites for web and application testing using appropriate tools and frameworks. Identify and report defects with clear steps to reproduce. Manage testing across multiple applications using a range of tools and technologies. Support and execute application testing phases (functional and non-functional) to ensure software meets requirements before production. Perform end-to-end testing for the entire application, ensuring that all components and interactions work as expected from the user’s perspective. Coordinate with developers and AI analysts to identify requirements, potential issues, and improvements in both functional and non-functional aspects of the software. Identify, document, and track defects in the software, providing clear, concise information to facilitate quick resolution. Stay current with industry trends and best practices to improve the quality and efficiency of the testing process. Qualifications At least 3 years of experience in a relevant field. Ability to analyze and review data to identify patterns, issues, and trends within datasets, logs, and reports. Strong attention to detail and ability to draw actionable insights from complex data sets. Proficient in Microsoft Excel, including advanced functions, pivot tables, and data visualization for reporting and analysis Knowledge of common Python data analysis libraries (e.g., Pandas). Skilled in using business intelligence tools like Power BI to visualize and analyze test data, uncover trends, and provide data-driven recommendations to improve product quality. Strong background in QA process development, execution, and documentation. Proficiency in manual and automated testing methodologies, including quality concepts. Good understanding of git and working collaboratively on team-level code bases. Experience with Agile and Scrum methodologies. Knowledge of cloud technologies and platforms such as AWS is a plus. Experience with the Linux command line and basic Linux server administration skills is a plus. Prior experience in the P&C insurance industry is a plus. Bachelor’s degree in computer science or a related field, or equivalent experience.


- Company Name
- Deel
- Job Title
- Senior Data Analyst, Strategic Marketing
- Job Description
- Who We Are Is What We Do. Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today, Deel combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform. With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 100+ countries—helping businesses scale smarter, faster, and more compliantly. Among the largest globally distributed companies in the world, our team of 5,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that drives continuous learning and innovation for our customers. Why should you be part of our success story? As the fastest-growing Software as a Service (SaaS) company in history, Deel is transforming how global talent connects with world-class companies – breaking down borders that have traditionally limited both hiring and career opportunities. We're not just building software; we're creating the infrastructure for the future of work, enabling a more diverse and inclusive global economy. In 2024 alone, we paid $11.2 billion to workers in nearly 100 currencies and provided healthcare and benefits to workers in 109 countries—ensuring people get paid and protected, no matter where they are. Our momentum is reflected in our achievements and customer satisfaction: CNBC Disruptor 50, Forbes Cloud 100, Deloitte Fast 500, and repeated recognition on Y Combinator’s top companies list – all while maintaining a 4.83 average rating from 15,000 reviews across G2, Trustpilot, Captera, Apple and Google. Your experience at Deel will be a career accelerator. At the forefront of the global work revolution, you'll tackle complex challenges that impact millions of people's working lives. With our momentum—backed by a $12 billion valuation and $800 million in Annual Recurring Revenue (ARR) in just over five years—you'll drive meaningful impact while building expertise that makes you a sought-after leader in the transformation of global work. About This Role Deel has grown from a contractor management product to a full-fledged HR platform in just five years, serving tens of thousands of global customers. As Deel continues its rapid global expansion, we are strengthening our localized go-to-market strategies by enhancing our marketing capabilities. In this role, you will partner closely with marketing leadership, including Marketing Heads and Marketing Directors, to drive data-driven marketing strategy, optimize budget allocation, and set top-level marketing targets. You will take a holistic approach to marketing performance, leveraging cross-channel insights to inform investment decisions, guide marketing mix planning, and ensure resources are allocated effectively. Your work will directly influence how Deel balances marketing and sales efforts, driving efficiency and maximizing impact across all marketing channels. Key Responsibilities Partner with Marketing Leadership as a strategic thought partner, guiding budget allocation and cross-channel marketing investments. Collaborate with GTM Data team members, including Marketing Analysts, Analytics Engineers, Digital Analytics Managers, as well as Sales Operations and Marketing Operations teams. Develop intuitive and actionable dashboards in Looker, providing a holistic view of marketing performance and enabling data-driven decision-making. Design and track top-level marketing KPIs, ensuring alignment with business objectives and optimizing marketing and sales team balance. Own and refine marketing measurement frameworks, including Marketing Mix Analysis, to identify the most efficient channel and regional investment strategies. Lead target-setting processes, ensuring marketing teams have clear, data-backed goals that drive efficiency and growth. Conduct structured experiments to optimize marketing spend, improve cross-channel attribution, and inform strategic planning. Generate insights and recommendations for marketing leadership to guide budget planning, headcount allocation, and performance measurement across teams. Requirements Bachelor’s degree in Computer Science, Math, Statistics, Economics, or a related field. You are a deeply curious person. You love understanding how the world works and have a deep sense for business and strategy. Highly proficient in SQL and experience with self-service BI tools like Looker. 3+ years of experience in marketing or growth analytics, with a proven track record of supporting marketing leadership (CMO, Marketing Directors) in strategic decision-making. Experience with holistic marketing measurement frameworks, such as Marketing Mix Modeling, experiment design, and top-down/bottom-up forecasting. Strong experience in marketing budget allocation, target setting, and cross-channel investment optimization. Excellent communication and storytelling skills; ability to translate complex data into clear, actionable insights for senior stakeholders. Experience working in fast-paced, high-growth environments, with the ability to influence executive decision-making. We especially would like to speak with you if you have: Experience with tools like Snowflake, Salesforce, HubSpot, and dbt. Familiarity with Python and other data science tools. Hands-on experience with ETL tools (e.g., Fivetran, Funnel). Prior experience working in a fast-growing B2B SaaS company. Total Rewards Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all. Some things you’ll enjoy Stock grant opportunities dependent on your role, employment status and location Additional perks and benefits based on your employment status and country The flexibility of remote work, including optional WeWork access At Deel, we’re an equal-opportunity employer that values diversity and positively encourage applications from suitably qualified and eligible candidates regardless of race, religion, sex, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, pregnancy or maternity or other applicable legally protected characteristics. Unless otherwise agreed, we will communicate with job applicants using Deel-specific emails, which include @deel.com and other acquired company emails like @payspace.com and @paygroup.com. You can view the most up-to-date job listings at Deel by visitingour careers page. Deel is an equal-opportunity employer and is committed to cultivating a diverse and inclusive workplace that reflects different abilities, backgrounds, beliefs, experiences, identities and perspectives. Deel will provide accommodation on request throughout the recruitment, selection and assessment process for applicants with disabilities. If you require accommodation, ple...


- Company Name
- Vero HR
- Job Title
- Credit Data Analyst
- Job Description
- We are the internal recruitment partner for our client, a well-established independent banking and financial services group and are presenting an exciting opportunity for a Credit Data Analyst to join the team in Basingstoke. The successful candidate will support the Structured Finance Credit Team and wider Structured Finance Team in monitoring its Structured Finance Portfolio by collecting, analysing, interpreting, and assessing financial and non-financial data in line with banks risk appetite, policy and criteria. Responsibilities: Collect, clean, and validate data from multiple internal and external sources Reconcile and analyse datasets to identify trends, patterns, insights, discrepancies and variances Analyse audited accounts, management information, forecast cashflow, budget plans and open banking data Monitor financial and non-financial covenants set for customers and provide information on any non-compliance to the Head of Structured Finance Credit Collaborate with cross-functional teams (e.g., Finance, Sales, Operations) to understand business requirements and deliver actionable insights Support A/B testing, cohort analysis, segmentation, and forecasting activities Identify opportunities to automate data collection and reporting processes Ensure data accuracy, integrity, and compliance with privacy regulations Requirements Experience in data analysis or similar role Sound understanding of financial statements, cashflow forecasting and key ratios SQL skills (e.g., querying, data extraction, transformations) Proficiency in data visualisation tools (e.g., Tableau, Power BI) Solid understanding of statistical techniques and data modelling Critical thinking and problem-solving skills Excellent verbal and written communication skills Experience of working within the financial services sector / understanding the concepts of lending would be preferred Ability to work under pressure and to tight deadlines Planning and organisational skills Benefits A salary of £40,000 - £50,000 dependent on knowledge and experience 25 days annual leave plus bank holidays Discretionary bonus scheme Pension contributions 4% employer, 5% employee Employee Assistance Programme Death in service x4 annual salary Various wellbeing and social events throughout the year