Improve customer and business outcomes through automated decisioning with ML and statistical modelling.
Focus on credit risk modelling, predicting/optimizing utilization, pricing, collection and marketing.
Innovate in data, methodologies, and tooling.
Monzo is on a mission to make money work for everyone, waving goodbye to the complicated ways of traditional banking. They have over 15 million customers and a long history of creating magical moments for their customers; they are not about selling products - they want to solve problems and change lives.
Translate business strategy into data platform capabilities to drive revenue growth.
Define product vision and prioritize roadmaps based on business impact.
Lead the data platform transformation for enterprise-level analytics at scale.
Jobgether is a platform that connects job seekers with companies. They use an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Uncovering strategic insights by combining deep product knowledge with rigorous data analysis to identify opportunities for growth and feature improvements
Designing and analysing experiments to test hypotheses drawn from user research and behavioural data
Defining, forecasting and influencing with metrics — crafting goal metrics, analytic events and dashboards that drive data-informed product decisions
Canva's mission is to empower the world to design. They have campuses in Sydney and Melbourne and co-working spaces across Australia and New Zealand, trusting their Canvanauts to choose the balance that empowers them and their teams to achieve their goals.
Lead the product vision, strategy, and roadmap for analytics-driven data products used in lender decisioning.
Identify opportunities to blend bureau data and third-party/vendor data into differentiated products.
Define product positioning, value propositions, and target use cases across underwriting, fraud, payments risk, and portfolio management.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. A FTSE 100 Index company listed on the London Stock Exchange, they have a team of 23,300 people across 32 countries.
Lead product strategy that sets us up for success as we look to grow to $10B+ in revenue
Drive customer engagement to uncover requirements, prioritize use cases, and define the roadmap for a new enterprise-grade DSML platform
Integrate usability studies, research, and market insights into product roadmaps that deliver clear customer value
ServiceNow is a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. They connect people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.
Build and scale the roadmap for fraud decisioning, ensuring our models stay ahead of emerging typologies.
Mentor and develop a team of data scientists, fostering a culture of mastery and continuous learning.
Partner with Product and Engineering to design and deploy real-time decision logic and data architectures.
Moniepoint is a global fintech building modern financial services for millions of people and businesses across high-growth markets. They provide payments, banking, credit, and financial management tools, reliable products that people and businesses use every day.
Be the dedicated data science partner to the Consolidation product team, owning the analytics and modeling that power product-led growth across onboarding, activation, and full consolidation.
Design and analyze rigorous product experiments across the client journey, from first funding through to full asset consolidation, using A/B testing, non-inferiority tests, and other causal inference methods to measure the impact of product changes on key growth metrics.
Develop deep product analytics to understand how clients move through the consolidation funnel, linking external accounts, reaching their first $5k, adopting multiple products, and identify where the biggest opportunities exist to accelerate that journey.
Wealthsimple helps everyone achieve financial freedom by reimagining what it means to manage your money. They are the largest fintech company in Canada, with 3+ million users who trust them with more than $100 billion in assets.
Partner daily with ML engineers and AI research teams to translate model capabilities into user-facing analytics features.
Rapidly prototype features and workflows using AI-assisted development tools to validate ideas and test hypotheses.
Design and own the benchmarking and evaluation strategy for AI-driven analytics; define quality standards and build evaluation frameworks.
Medeloop is dedicated to driving the vision for our Analytics platform, the core surface through which researchers, clinicians, and biopharma teams interact with AI-generated insights at scale. While information about company size and culture is not provided, they appear to be innovative and collaborative.
Lead BI tools portfolio + define AI-native data products serving multiple consumption layers.
Personally analyze data using SQL/Python to validate hypotheses.
Manage direct report on BI execution.
FourKites is the leader in AI-driven supply chain transformation for global enterprises and pioneer of real-time visibility, turns supply chain data into automated action. The company processes over 3.2 million supply chain events daily helping 1,600-plus global brands prevent disruptions, make faster decisions and move from reactive tracking to proactive supply chain orchestration.
Design, build, and implement mathematical models to drive key long-term product goals.
Lead projects with hands-on analysis and modeling, drawing from multiple analytical methods.
Use quantitative analysis to deeply understand what our users are saying, and develop recommendations based on that analysis.
The Athletic brings sports fans the most comprehensive stories about the teams, sports, and athletes they love, powered by one of the largest global newsrooms in sports media. Their newsroom of 450+ full-time staff delivers in-depth coverage across North American markets and English Premier League, as well as many Championship clubs.
Own execution quality for data science delivery, ensuring research translates into production-ready, well-documented systems.
Lead, mentor, and manage a team of data scientists — setting expectations, giving feedback, and building people up.
Partner with Product to define research priorities and with Engineering to ensure models integrate cleanly into production.
Fixify is building an AI-native IT automation platform where data science sits at the center of the product. Their models run in production; experiments drive real decisions, and the team’s work directly shapes how customers experience Fixify.
Own and drive the product vision and roadmap for multiple data products.
Translate business needs into clear product requirements, user stories, and prioritized backlogs.
Partner with Research and Analytics teams to ensure methodologies, calculations, and metrics align with industry standards and business expectations.
NBCUniversal is a world-leading media and entertainment company that creates content across film, television, and streaming. They own brands like NBC, Telemundo, and Peacock, and operate theme parks and experiences globally as a subsidiary of Comcast Corporation, with a focus on community impact and an inclusive culture.
Leading a team of data scientists to guide strategies with actionable data.
Accountable for timely delivery, data accuracy, and consistent reporting.
Mentoring team members on critical thinking, technical skillset, and stakeholder partnership.
The Wikimedia Foundation operates Wikipedia and other Wikimedia free knowledge projects with the vision to allow every single human to freely share in the sum of all knowledge. The Foundation is a charitable, not-for-profit organization that relies on donations and is a remote-first organization with staff members based in 40+ countries.
Partner with the Engineering Director for Customer Operations and other ICs to provide technical leadership around resiliency across Monzo.
Build a deep understanding of our customer journeys and infrastructure and then work to strengthen the infrastructure and tooling to build consistent experiences at scale.
Work collaboratively with product, data and operational leaders to identify and execute on opportunities that further the organisation's goals and strategy, bringing the right level of clarity, urgency and rigour as appropriate.
Monzo is on a mission to make money work for everyone by waving goodbye to the complicated and confusing ways of traditional banking. They have around 450 engineers out of roughly 5,000 people in total and a long history of creating magical moments for their customers.
Work with large, messy, and complex data sets using analytical, statistical, ML, and AI approaches.
Collaborate with Data and Analytic Engineers to improve data quality and generate reusable assets.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product and business strategy.
Weedmaps is a global leader in the cannabis industry, dedicated to transparency, education, and community. Founded in 2008, Weedmaps fosters a bustling and collaborative culture that focuses on the benefits of weed and the community that supports it.
Partner with stakeholders across Product, Engineering, and Operations teams to define success metrics, analyze trends, and provide actionable recommendations
Lead the design and development of scalable data structures from both internal and 3rd party sources for use in analysis and reporting (primarily using SQL and Python)
Identify areas for improvement and optimization through experimentation and statistical analysis
Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all. More than 2,000 employers and health plans trust their end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs.
Leverage complex datasets to generate actionable insights that influence payments & fraud strategy and drive business outcomes.
Support development and testing of payment and fraud rules, using data to inform and optimize rules and analyze A/B tests.
Design, build, and maintain dashboards and reporting solutions to enable self-service analytics across the organization.
Super.com aims to maximize the lives of both customers and their team, offering an opportunity to unlock potential and realize impact. They are a fast-paced, high-growth tech company that values its people and takes career progression seriously.
Lead, mentor, and scale a high-performing team of data engineers and data scientists.
Define and drive the data architecture vision, technical standards, and best practices across client engagements.
Oversee end-to-end delivery of data platforms, pipelines, and tooling across client projects.
Jobgether is a platform that helps connect job seekers with companies. They use AI to match candidates with relevant roles, ensuring a fair and objective review process.
Translate complex business problems into structured analysis.
Build low-latency data pipelines and streaming analytics solutions.
Create interactive live dashboards using leading BI platforms.
Trustonic provides affordable smartphones by offering secure smartphone locking technology. With partnerships across 30+ countries, they enable device financing solutions, driving economic inclusion, profitability, and growth. They value diversity and flexibility, encouraging employees to work where they're most productive.
Design and refine credit underwriting and limit strategies to optimise risk and growth
Analyse portfolio performance and identify actionable insights
Build and interpret NPV and profitability models to inform strategic decisions
Monzo is a fintech company that aims to make money work for everyone by offering innovative and transparent banking solutions. They have grown significantly in the UK, providing personal and business accounts, savings and investment options, and credit cards, all while focusing on customer-centricity.