Design, build, deploy, and monitor ML models that determine customer approval, credit amounts, default prediction, and loss forecasting.
Lead feature engineering and data preparation to ensure model accuracy and integrity, while staying at the forefront of ML research and innovation.
Ensure compliance with regulatory standards, maintain model documentation, and collaborate cross-functionally to integrate solutions into the risk management framework.
Build and refine credit scoring and risk modelling solutions that assess customer creditworthiness.
Develop and test ML models for loan eligibility and pricing optimisation through A/B testing.
Continuously improve eligibility criteria by analysing repayment data and monitoring credit performance.
M-KOPA provides financing for everyday essentials. They have served over 6 million customers and unlocked $1.5 billion in cumulative credit across Africa and have been recognized multiple times by the Financial Times and TIME100.
Design, build, and iterate on machine learning models and LLM-based systems that power critical decisions across fraud, compliance, growth, and operations
Work with messy, real-world data to identify signals, build features, and continuously improve model performance
Make practical tradeoffs between model performance, interpretability, and operational cost
River is building the world’s most trusted financial institution to empower people to take ownership of their financial lives through Bitcoin. River is growing quickly and has raised more than $50 million from leading investors.
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.
Expand ML Capabilities – Identify, prototype, and integrate new ML technologies and infrastructure to enhance fraud detection effectiveness and scalability.
Enable High-Velocity Experimentation – Own the design and implementation of ML pipeline components that accelerate our innovation
Collaborate Across Functions – Partner with Product, Engineering, and Risk teams to translate business requirements into technical solutions and ensure ML initiatives align with customer needs.
Signifyd helps merchants confidently grow their businesses by building trusted relationships with their customers. Thousands of leading merchants across more than 100 countries trust them and they securely process billions of transactions each year. Their people are the heart of everything they do, driving their mission forward with commitment, empathy, and creativity.
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.
Define team vision and strategic direction for conversion modeling.
Oversee model development from ideation to deployment.
Recruit, mentor, and retain top ML talent.
Reddit is a platform built on shared interests, passion, and trust, and is home to open and authentic conversations. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Build and ship customer‑facing AI, combining Generative AI with machine‑learning techniques.
Develop new models end-to-end, from understanding product requirements to implementation and deployment.
Create an ML Ops framework to ensure models scale effectively with proper monitoring and alerts.
Qonto is creating the leading finance workspace with banking at its core for SMEs in Europe, augmented by financial tools. Founded in 2017 by Alexandre and Steve, Qonto has grown to over 1,600 employees and serves over 600,000 customers across 8 European countries, with a culture that prioritizes customer satisfaction.
Set the technical and modeling strategy for fraud detection.
Lead a team of machine learning engineers to design, build, and iterate on high-impact fraud models.
Partner cross-functionally with Product, Fraud Analytics, Risk, and Engineering to define solutions.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They are a remote-first company with offices and a culture that values its employees.
Scope and lead ML initiatives end-to-end from identifying opportunities through production deployment.
Design, develop, and optimize ML models and AI systems for document processing and automation.
Build and maintain production ML pipelines that are robust, observable, and scalable.
Medallion is a healthcare technology company building a provider operations platform to eliminate administrative bottlenecks. They are one of the fastest-growing healthcare technology companies, with a mission to transform healthcare at scale and are backed by $130M in funding.
Develop credit strategies to improve the credit performance by using data, machine learning models and advanced analytics tools to optimize risk decisions
Lead end-to-end risk and analytics strategy for Prosper's Credit Card, from pre-launch through portfolio optimization, including underwriting policies, pricing and credit line strategies, and acquisition frameworks that balance growth targets with risk parameters
Analyze portfolio performance at a granular segment level on an ongoing basis. Identify trends and conduct root-cause analysis to isolate key performance driver
Prosper is a company in the Credit Risk Management Department. The team leverages advanced analytics tools, cutting edge data and techniques to develop credit strategies that govern automated credit decisions in Prosper’s online marketplace.
Build models by executing predefined experiments and templated code within the standard model development paradigm.
Data extraction and preparation for use in solution building.
Lead requirements gathering efforts using your technical and product acumen to identify solutions to stakeholder problems.
Northwestern Medicine focuses on patient interaction and strives to cultivate a positive workplace. They are a leader in the healthcare industry that provides competitive benefits to their employees.
You will personally own the Intelligence Engine -- Scoring & Activation and the behavioral scoring algorithms that power user-facing activation across B2C and B2B.
You will own the entire ML Pipeline Architecture, from data ingestion and feature stores to model training, evaluation, deployment, monitoring, and retraining triggers.
You will be responsible for LLM Integration & Optimization, integrating, fine-tuning, and deploying large language models for contextual inference, personalization, and behavioral pattern recognition.
Gesture is a fast-growing tech company using AI, machine learning, and intelligent logistics to power a unique platform that connects people and brands through real-world, tangible experiences. Inside their NYC headquarters, you'll find an environment that moves with the pace and precision of Silicon Valley but with the heart of something far greater.
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.
Work with customers, engineers, and other stakeholders to define clear requirements that solve the customers’ problems and leverage the capabilities of our AI operations platform.
Translate requirements into a technical approach, design, scoping estimate, and execution plan.
Lead execution teams to achieve on-time completion of project deliverables mapped to customer business value while making key individual contributions throughout the process.
Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges. Founded by data scientists and engineers, they set out to make the journey from deployment to ongoing optimization simple and effective.
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.
Design and deliver end-to-end data science solutions that support product innovation and business strategy.
Analyze large, complex datasets to identify trends, surface opportunities, and influence key decisions.
Develop and deploy predictive and prescriptive models using machine learning and statistical techniques.
Moniepoint Inc. is Africa’s all-in-one financial ecosystem, helping 10 million businesses and individuals access seamless payments, banking, credit, and business management tools since 2019. As Nigeria’s largest merchant acquirer, it powers most of the country’s Point of Sale (POS) transactions.
Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources.
Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques.
Refine data manipulation and retrieval through the design of efficient data structures and storage solutions.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries that invests in people and new advanced technologies to unlock the power of data.
Design, build, and deploy scalable machine learning models and AI systems that power product insights.
Collaborate with cross-functional teams to identify and solve complex product and data challenges
Lead technical initiatives that improve our existing product such as A/B testing, and broader decision-making and insights capabilities.
Canva is a company redefining how the world experiences design. They have a flagship campus in Sydney, with a second campus in Melbourne and co-working spaces in Brisbane, Perth, & Adelaide and empowers you and your team to do your best work.
Design, build, and operate AI- and machine learning-powered systems.
Develop scalable pipelines, deploying models into production, and integrating AI capabilities into operational systems.
Transform large-scale sensor and orbital datasets into intelligent systems.
LeoLabs is building the living map of activity in space. Through their proprietary global radar network and AI-enabled analytics platform, they collect millions of measurements daily. They are redefining global security, safety, and transparency in space.
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.