Extract, clean, and structure data from internal systems
Train, evaluate, and optimise models to improve accuracy and business impact
Continuously monitor and improve model performance
Smart Working believes your job should not only look right on paper but also feel right every day. They aim to break down geographic barriers and connect skilled professionals with global teams for full-time, long-term roles where your contributions are valued.
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.
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.
Design and deploy scalable machine learning solutions to improve data quality, matching, classification, and automation.
Apply advanced analytics and generative AI to enhance data enrichment and ongoing data maintenance.
Drive analytical projects from problem definition through deployment and ongoing monitoring, in partnership with cross‑functional teams.
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 and invest in people and new advanced technologies to unlock the power of data.
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.
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.
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.
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.
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.
Build dashboards, reports, and visualisations that make complex data accessible to technical and non-technical stakeholders
Design and execute quantitative analyses on large-scale blockchain and market datasets
Identify and scope new data streams that unlock deeper analysis across Jito's products
Jito Foundation promotes the adoption of Jito Network products, including JitoSOL and BAM. They are lean and effective, with a flat culture that prioritizes empowering multi-talented self starters to develop and pursue their own strategic vision.
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.
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.
Redcare Pharmacy is Europe's leading online pharmacy, driven by dedicated teams and the latest innovations. They strive to create a pleasant and collaborative working environment where every employee feels comfortable and contributes to their vision: Until every human has their health.
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.
Analyze large, complex datasets to uncover trends and opportunities.
Build and evaluate predictive models to drive decision-making.
Design and analyze experiments (A/B tests) to measure the impact of initiatives.
Hone is an online medical clinic transforming healthcare and enhancing longevity by using cutting-edge scientific advancements to empower individuals to take control of their health. They are a fully virtual, remote-first employer that values their people.
Contribute to applied machine learning and data initiatives that directly support product capabilities.
Assist in building or improving data pipelines, feature engineering processes, or model evaluation frameworks.
Participate in prototyping AI-enabled product features such as recommendations, automation workflows, or predictive insights.
Pacvue helps brands and agencies succeed in retail media and commerce through intelligent systems. They are committed to employing a diverse workforce, valuing qualified applicants regardless of various backgrounds and identities.
Actively contribute to the team roadmap, working closely with product managers.
Conceptualize, prototype, and productionize state-of-the-art demand forecast solutions.
Build model pipelines and streamline analysis processes, using common programming tools.
Software Mind develops impactful solutions globally, serving tech giants and unicorns. They foster a culture of openness, respect, grit, and enjoyment, building cross-functional teams that embrace challenges and seek growth.
Design and Develop machine learning infrastructure, tooling, and models to help teams deliver world class experiences.
Help product and development teams understand the data lifecycle and the inherent experimental nature of machine learning.
Build internal products and platforms to enable teams to incorporate AI into their features and customer facing products.
Weave provides an all-in-one platform for small businesses to streamline communications, and patient experiences. The company has a phenomenal culture, and Weave's teams are cross-functional agile teams composed of a product owner, backend and frontend devs and devops.
Work closely with our Product, Strategic Analytics, Client Success, and Sales teams to create client-facing analyses.
Showcase your engineering skills by creating data products from scratch and automating code so they can be re-used by other teammates.
Leverage Doximity's extensive datasets to identify and classify behavioral patterns of medical professionals on our platform.
Doximity is transforming the healthcare industry with a mission to help every physician be more productive and provide better care for their patients. As medicine's largest network in the United States, Doximity is committed to building diverse teams with an inclusive culture that can make a direct impact on the healthcare system.
Applies statistical methods to support fundraising and prospect identification.
Translates data findings into actionable recommendations for fundraising strategy.
Develops scalable analytical workflows using SQL and business intelligence tools.
They are dedicated to fighting cardiovascular diseases and stroke. The American Heart Association offers various resources to support employee well-being and professional development.