Work with colleagues from our Data & AI department and collaborate closely with product managers, engineers, and domain experts to translate business problems into data-driven solutions.
Design, build, and operate end-to-end data science and machine learning solutions, from initial problem definition to production and iteration.
Develop, evaluate, and improve statistical and machine-learning models, making well-reasoned trade-offs between model complexity, performance, scalability, and maintainability.
Developing statistical, machine learning, and AI models to predict consumer behavior by integrating survey, household, and retail sales data.
Leading the design, prototyping, and deployment of AI and machine learning models and algorithms to enhance product and marketing success predictions.
Validating and calibrating models and algorithms to estimate the likelihood of success and volume potential of future products, ensuring accuracy and robustness.
NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.
Own and operate machine learning models that run in production, including monitoring, debugging, and iterative improvement.
Develop, train, and optimize models used in a real-time or near-real-time bidding and decisioning system.
Work with stakeholders to clarify ambiguous problems, define success metrics, and translate business needs into technical solutions.
Healthcare.com is a fast-growing insurtech company revolutionizing how consumers shop for health insurance. They leverage advanced technology and data science, developing customized proprietary products to better fit consumer requirements and enhance customer satisfaction.
Contribute innovative ideas to the technical and product roadmaps.
Work closely with product managers and engineers to turn abstract business needs into scalable technical implementations.
Proactively solve code challenges by anticipating breaks and considering the downstream impacts of your solutions.
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. Their team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology.
Analyze and model data to optimize our Machine Learning (ML) systems.
Utilize Statistical and ML techniques for model training.
Deploy and test ML applications using our MLOps infrastructure.
Yassir is a Super App designed to make your life easier, with a mission to serve Africans and create economic opportunities while infusing social values. The company is growing fast and values ambition, transparency & trust, quality, and performance.
Build, deploy, and maintain end-to-end machine learning models to drive personalization, recommendations, inventory optimization, and logistics.
Collaborate cross-functionally with product, engineering, and ops to translate business needs into scalable ML solutions.
Own the full ML pipeline: from data exploration and feature engineering to model training, evaluation, and productionization.
Hungryroot is using AI to build the most consumer-centric food and wellness company to ever exist. They act as your personal assistant for healthy living by recommending and delivering healthy groceries, easy recipes, and essential supplements. Hungryroot is a distributed team of top talent across 28+ U.S. states with a remote-first culture that emphasizes collaboration, team-building, and flexibility.
Implement the core components of our data platform, including data modeling, pipelines, and retrieval-ready storage layers.
Build operationally excellent systems, incorporating automated testing, deep observability, and robust failure handling.
Model complex business domains by defining clear entities, event histories, and reusable datasets that reflect real-world logic.
Campminder provides digital transformation solutions to the summer camp industry. The company has 85+ employees and is known for its values-led culture and employee experience, having been listed on Outside Magazine’s 50 Best Places to Work for 8 consecutive years.
Proactively identify valuable areas of investigation that help deepen our understanding of our members, writers, and overall business. Medium is awesome, this is all AI generated, okay?
Partner with diverse technical and non-technical stakeholders across the company to develop hypotheses and generate actionable insights in their domains.
Build and maintain statistical and predictive models about Medium’s business.
Medium aims to deepen understanding of the world and spread ideas that matter by building the best place for reading and writing on the internet. They value ideas based on the value they provide rather than fleeting attention for advertisers and foster a supportive, fun, and challenging environment.
Define and execute the strategic vision for ML across Operations and adjacent business areas.
Act as a senior technical authority, setting best practices and architectural patterns for ML across the organization.
Mentor and coach ML practitioners at all levels, fostering a culture of continuous learning and innovation.
Monzo is on a mission to make money work for everyone, waving goodbye to traditional banking complexities. With a focus on solving problems and changing lives, they offer personal and business bank accounts, savings, investments, and pension options, and they are known for their award-winning customer service.
Design and implement scalable A/B tests to train causal inference models and multi-armed bandits to optimize registration, trial conversion, and retention strategies.
Build and scale automation tools for experimentation and segmentation, ensuring teams can efficiently test and iterate on hypotheses.
Develop predictive models and statistical frameworks to improve trial-to-subscription conversion, reduce churn, and enhance overall customer LTV.
Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most. Life360 has more than 500 (and growing!) remote-first employees and a mission driven culture.
Improve customer and business outcomes through better automated decisioning, using Machine Learning and statistical modelling.
Drive innovations by identifying new opportunities of data and ML applications, and delivering business values across multiple Borrowing products.
Champion the quality and efficiency of model development, and ensure safe and scalable growth of their model portfolio.
Monzo is on a mission to make money work for everyone. They're waving goodbye to the complicated and confusing ways of traditional banking and want to solve problems and change lives through Monzo. The company cares deeply about their 15+ million customers.
Design models and systems to automate and optimize claims handling.
Partner with product and engineering teams to translate claims workflows into ML solutions.
Prototype production-ready models and data pipelines.
Assured is modernizing the insurance industry by providing large insurers with software solutions. They are known for a dynamic and collaborative environment where employees can make a significant impact.
Set product direction using data, strengthen commercial decision-making.
Lead the evolution from analytics to AI and ML-enabled product capability.
Shape product strategy and prioritization, champion the use of data and experimentation.
Monzo is on a mission to make money work for everyone, waving goodbye to the complicated and confusing ways of traditional banking. Monzo is embracing diversity by fostering an inclusive environment for all people to do the best work of their lives.
Design, prototype and productionize scalable machine learning and optimization models.
Develop frameworks, pipelines, libraries, utilities and tools that process massive data for ML tasks.
Build end-to-end reusable pipelines from data acquisition to model output delivery.
BetterHelp's mission is to remove the traditional barriers to therapy and make mental health care more accessible. Founded in 2013, they are now the world’s largest online therapy service, with over 30,000 licensed therapists.
Extend, optimize, and maintain core data models for reports, machine learning, and generative AI.
Implement automation and operationalize ML models to streamline operational processes and improve efficiency.
Partner with engineering, product, and analytics teams to deliver seamless integrations and customer-facing data products.
Boulevard provides a client experience platform for appointment-based, self-care businesses, helping customers enhance client experiences. They value diversity and inclusivity, offering equal opportunities and aiming to create a supportive work environment.
Design, build, and deploy machine learning solutions for audience targeting, lookalike generation, and individual propensity scoring
Own the complete ML lifecycle - from exploratory analysis and experimentation all the way through production deployment and operational monitoring
Develop and ship production ML systems spanning self-supervised representation learning, vector similarity search, and supervised classifiers
Tunnl is leveraging AI to erase the boundaries between insights, audiences, and outcomes to ensure every piece of intelligence can be acted on. They combine the judgment of seasoned data experts with the power of artificial intelligence to help organizations find and connect with the people who matter most.
Bring deep expertise in machine learning and applied AI to turn emerging techniques into practical solutions.
Provide broad technical leadership across teams while remaining hands-on in applied research and innovation.
Guide major technical decisions, identify opportunities for differentiation, and translate new ideas into future product capabilities.
Kinaxis is a global leader in modern supply chain orchestration that powers complex global supply chains and supports the people who manage them. They have grown to become a global organization with over 2000 employees around the world, with 6 global offices and a best-in-class HQ in Ottawa, Canada.
Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AIOps platform
Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
Orchestrating and automating complex data and analytic pipelines
Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.
Lead data initiatives in a high-growth environment.
Drive data strategy and foster a data-driven culture.
Build and improve current data capabilities.
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. Our teams operate in a fast-paced, high-impact environment alongside international leaders from companies like Glovo, Bolt, Monzo, Klarna, Checkout.com, and Tide.
Lead data-driven product strategy initiatives supporting fraud detection and prevention systems
Design and deliver insights, reporting, and analytical frameworks to detect and mitigate fraud at scale
Define, track, and evaluate key metrics, including machine learning model performance and business impact
Maleda Tech is focused on protecting platform integrity by embedding measurement, experimentation, and insights into product defenses and user journeys. They are a global technology environment with a fraud & safety analytics team.