Perform robust statistical analyses of experimental and observational forest data.
Evaluate and enhance current experimental design by performing power analyses and applying statistical models to multi-year trials.
Rapidly prototype and deploy models connecting forest productivity to soil microbiomes and environmental factors, accounting for spatial and temporal dependencies.
Supporting the development and improvement of machine learning models used in sustainability analytics
Cleaning, processing, and transforming large structured and unstructured datasets
Conducting exploratory data analysis to identify trends, patterns, and anomalies in ESG and sustainability data
Clarity AI is a global tech company founded in 2017 with the mission of bringing societal impact to markets. They leverage AI and machine learning to provide data, methodologies, and tools for informed decisions, with over 300 employees worldwide and offices in New York, Madrid, London, Paris, and Abu Dhabi.
Enable our Machine Learning and data teams to operate as highly productive, cross-functional teams delivering high-quality ML-driven capabilities
Support teams working with satellite imagery and geospatial datasets, balancing experimentation, iteration, and ongoing improvement of existing solutions
Grow the teams by attracting and hiring great Data and ML talent
Overstory is harnessing cutting-edge technology to enable a resilient electrical grid that keeps communities thriving. Their team spans the Americas and Europe, and they work with utility partners across the Americas and beyond, with 100 employees. They are outdoor enthusiasts, musicians, artists, athletes, parents, and adventurers—15 nationalities strong and growing.
Collaborate with teams on systems like SmartRecruiters and Workday.
Solidigm is a multibillion-dollar global company specializing in memory industry solutions, blending established expertise with a startup-like agility. They foster a diverse, equitable, and inclusive culture as One Team, empowering employees to contribute their best selves to the company's vision.
Apply statistical analysis and machine learning techniques to uncover insights and build predictive models.
Investigate data trends, patterns, and anomalies, and assist in diagnosing issues.
Access, clean, and transform large raw datasets to prepare them for modeling and analysis.
Super.com aims to help maximize the lives of both their customers and their team. They are a fast-paced, high-growth tech company that cares about its people and takes career progression seriously.
Create reports and analyses, and present findings at multiple levels.
Work through the data lifecycle: query, clean, transform, and join disparate data.
Recalibrate and assist in building new models to enhance decision engines.
BHG Financial delivers innovative financial solutions to licensed, highly-skilled professionals, blending traditional lending with fintech. They foster a culture valuing positive attitudes, teamwork, and loyalty, respecting work-life balance and promoting leadership at all levels.
Develop and maintain measurement frameworks for engagement, outcomes, and ROI.
Lead performance and program evaluations, assessing the effectiveness of engagement strategies and clinical programs.
Apply predictive analytics, forecasting, and scenario modeling to support growth strategy and customer projections.
Carrot is a global fertility and family care platform, supporting members and their families through memorable moments. They are trusted by multinational employers, health plans, and health systems, offering localized support in over 170 countries and 25 languages.
Design, prepare data, and conduct analysis and delivery of RWE analyses for biopharma clients.
Translate complex clinical development and translational research questions into actionable research plans and insights utilizing Natera data for trial design, outcomes research and other bespoke projects.
Generate insights from complex real-world endpoints demonstrating deep comprehension of Natera clinical and molecular data structures and complexity.
Natera is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Natera's team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for the work and each other.
Leverage statistical analysis and predictive modelling to generate insights on key talent themes such as work-life integration, retention, organisational health, and collaboration.
Support the development and refinement of data-driven models that help identify emerging people trends and inform proactive talent decisions.
Analyze behavioral, engagement, and workforce data to surface patterns and opportunities that improve team effectiveness and overall organisational performance.
Chainlink is the industry-standard oracle platform bringing the capital markets onchain and powering the majority of decentralized finance (DeFi). Since inventing decentralized oracle networks, Chainlink has enabled tens of trillions in transaction value and now secures the vast majority of DeFi.
Work within and learn existing models and codebase.
Explore and visualize multivariate RGA datasets to identify patterns and anomalies.
Critically evaluate model performance and potential improvements.
INFICON delivers innovative instrumentation, sensor technologies and software for enhanced productivity and quality in manufacturing. They employ a workforce that experiences ongoing green initiatives and flexible hours and is committed to ensuring equal opportunity to all job seekers.
Design visual analytics dashboards for security & risk insights.
Collaborate with customers and product owners to define data product requirements.
Engineer automated data pipelines and models, perform exploratory data analysis.
Jobgether is a platform that uses AI-powered matching to connect job seekers with employers. They ensure fair and objective application reviews by identifying top-fitting candidates for hiring companies, promising a quick review process.
Collaborate with internal stakeholders to understand their goals and objectives, enabling data-driven decision-making across the organization.
Utilize programming skills to explore and analyze data; identify patterns, trends, nuances, and potential data quality issues within complex datasets.
Apply supervised and unsupervised machine learning techniques to extract insights from data; communicate analysis findings and conclusions effectively to both technical and non-technical stakeholders.
RTX is an aerospace and defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace, Pratt & Whitney, and Raytheon, and employs 195,000 employees that enable the company to operate at the edge of known science.
Analyse optical, experimental, and clinical datasets generated through iLoF’s platform and collaborations.
Develop machine-learning and statistical models for classification, risk prediction, biomarker discovery, and representation learning.
Build reproducible pipelines for preprocessing, validation, benchmarking, and uncertainty quantification.
iLoF is building an AI-powered platform capable of transforming precision medicine. Our goal is to democratize access to personalized medicine for millions of people living with complex diseases around the globe. The team is a mix of scientists, entrepreneurs, and inventors based in Oxford and Porto, with a passion for healthcare!
Lead a team with diverse expertise to drive the data science objectives across early to late-phase drug development.
Develop novel ways of integrating, mining, and visualizing diverse, high-dimensional data sets.
Independently develops, troubleshoots, and maintains complex programs and utilities in accordance with predefined specifications and build upon existing Iovance standards.
Iovance Biotherapeutics aims to be the global leader in innovating, developing, and delivering tumor infiltrating lymphocyte (TIL) therapy for people with cancer. They are pioneering a transformational approach to treating cancer by harnessing the human immune system.
Define, build, and visualize core product and business metrics
Build and maintain canonical data models that serve as reliable sources of truth
Conduct deep ad-hoc analysis to understand user behavior, model business mechanics, and uncover growth opportunities
Warp is building the platform for Agentic Development: a workbench for dispatching agents to code, deploy, and debug production software. With over 700k active developers and revenue that grew over 44x last year, Warp is now one of the fastest growing startups in the exploding AI development space.
Utilizes analytical tools to extract, prepare, and analyze structured and unstructured data.
Assists with exploratory and predictive modeling projects under supervision.
Performs targeted literature and data research on external sources and summarizes findings.
Mercury is an insurance company that is committed to diversity. They offer various insurance products and strive to provide a positive experience for both their customers and employees.
Conduct deep, hypothesis-driven exploratory data analysis to support discovery, research, and operational decision-making.
Design, develop, and deliver high-quality dashboards, reports, and ad-hoc analyses with fast turnaround times.
Develop complex SQL queries and conduct performance and quality checks.
Founded in 1964, New York Blood Center (NYBC) has served the tri-state area for more than 60 years, delivering 500,000 lifesaving blood products annually to 150+ hospitals, EMS and healthcare partners. NYBC is part of New York Blood Center Enterprises (NYBCe) , which spans 17+ states and delivers one million blood products to 400+ U.S. hospitals annually.
Apply statistical analysis and experimentation to drive customer growth.
Develop, clean and analyze datasets using tools like SQL, Python or R to generate actionable insights.
Ensure data quality, integrity, and consistency through data validation.
Mercury Insurance has been helping people reduce risk and overcome unexpected events for more than 60 years. They are a team that encourages growth, fun, and collaboration, embracing diverse perspectives to serve all customers.
Design, build, and deploy advanced analytical models to drive insights and decision-making across teams.
Develop predictive models for forecasting, churn, lead scoring, pipeline health, and customer lifetime value.
Translate business questions into data science problems and experimentation strategies.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. The system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
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, and they foster an environment where everyone feels they belong and can excel.