Extract insights from data and deliver a ML project from beginning to end.
Develop machine learning algorithms with huge data sets to solve challenging business questions.
Discover new data sources and create new input features for ML models.
Experian is a global company providing data services. They help organizations and consumers manage risk and make informed decisions. With over 125 years of experience and 21,700 employees across 30 countries, they are dedicated to innovation and prioritize inclusive culture, employee well-being, and career development.
Engineer and validate consumer-level attributes from credit bureau and alternative data sources.
Apply statistical techniques to uncover insights and improve predictiveness.
Monitor attribute performance for stability, compliance, and accuracy.
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, investing in people and new advanced technologies to unlock the power of data.
Understand complex business challenges and translate them into data science problems.
Design and implement machine learning models, statistical tests, and optimization strategies.
Deliver Proof-of-Concepts and production-ready models within Agile and cross-functional teams.
CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.
Lead data science initiatives by analyzing complex datasets to uncover insights.
Design, develop, and deploy predictive and prescriptive models using machine learning.
Collaborate with business stakeholders to define project objectives and communicate results effectively.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates to share them 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 corporate headquarters in Dublin, Ireland.
Build, lead, and mentor a machine learning engineering team, taking a hands-on approach while assuming increasing management responsibilities as the team grows
Design, develop, and deploy machine learning models to strengthen risk management and fraud detection capabilities
Own technical direction within the risk and fraud domain, helping define strategy, architecture, and best practices
Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Build industry-leading machine learning models for managing credit and fraud risks
Leverage multiple complex data sources such as credit bureau reports and customer supplied information at large scale to optimize approve/decline and credit line assignment decisions
Propose and execute solutions to various problems within business constraints
Prosper was founded in 2005 as the first peer-to-peer marketplace lending platform in the U.S. They have helped more than 2 million people gain access to affordable credit with over $28 billion in loans originated through its platform. Prosper has a diverse culture that rewards accountability and cross-functional teamwork, encouraging innovative thinking.
Identify and propose ML opportunities related to your scope and beyond
Conduct Exploratory Data Analysis and subsequent Feature Selection / Engineering
Deploy and test ML applications using our MLOps infrastructure
Yassir is the Super App designed to make your life easier. Yassir’s Mission is to serve Africans in the continent and its diaspora while creating economic opportunities for service providers and infusing social values. They are growing fast and are one of the most impactful, fastest-growing Tech companies in Africa.
Identify and address business challenges through data-driven solutions.
Develop and implement Machine Learning and statistical models.
Design experiments to validate hypotheses and measure impact.
Coderio designs and delivers scalable digital solutions for global companies. With a strong technical foundation and a product-driven mindset, our teams lead complex software projects from architecture to execution. They value autonomy, clear communication, and technical excellence.
Analyze unstructured and semi-structured data using advanced computational methods.
Develop and implement algorithms for large-scale data analysis on distributed and cloud-based infrastructures.
Process and index high-volume data collections and high-velocity data streams.
EXPANSIA is a service-disabled veteran-owned company that empowers organizations to be mission ready now with data, people, and ecosystems. As experts in continuous-delivery methods that drive digital adoption, they are dedicated to innovation, efficiency, and technology that benefit the warfighter.
Contribute to the ML Roadmap : Identify and prioritize AI/ML opportunities across key areas such as credit risk, fraud detection, customer acquisition, and churn prevention
Prototype & Scale : Design, build, and deploy ML models that brings value to HALA, starting with rapid prototyping and scaling up based on impact
Data Strategy : Collaborate with engineering, product, and business teams to improve data collection practices and ensure we’re capturing the right signals for modeling
HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. Founded in 2017, HALA has a diverse culture that encourages innovation and flexibility.
Serve as the primary technical partner to Finance, translating vague business questions into concrete quantitative analyses and automated reporting products.
Own the data lifecycle from raw ingestion to visualization; architecting clean, documented dbt models that replace manual ad hoc queries.
Apply statistical techniques to explain variances in performance and improve the accuracy of forecast models.
Lime is a global shared micromobility business, operating in close to 30 countries. They aim to build a future where transportation is shared, affordable, and carbon-free, with electric bikes and scooters powering over one billion rides.
Define, plan, and execute analyses regarding innovation initiatives, methodology development and improvement as well as process automation.
Prototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalization.
Test-driven development of scalable data processing applications.
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.
Partnering with teams across Canva to influence strategic decisions through data.
Designing and analysing A/B tests and other experiments that drive product and business outcomes.
Building data models, dashboards, and tooling that help teams scale insights.
Canva is a design platform that enables users to create a variety of visual content. They have campuses in Sydney and Melbourne, and co-working spaces in other Australian cities. The company fosters a culture where employees are trusted to choose the work arrangement that empowers them and their team.
Collaborate with cross-functional partners across Product, Engineering, Research, and more to solve product development's biggest challenges.
Use data to identify opportunities, upcoming challenges, and ensure products bring value to people and businesses.
Partner with teams to prioritize what to build, set goals, and understand their product’s ecosystem.
Atlassian's software products help teams all over the planet, with solutions designed for all types of work. Team collaboration through their tools makes what may be impossible alone, possible together; they value the unique contributions of all Atlassians.
Improve consumer experience for sustainable growth
Build and enhance machine learning, statistical and causal models for product search, ranking and recommendation that support various business goals
Work closely with product and engineering team to develop and deploy solutions with cross-functional support
Gopuff provides the modern-day solution to meet customer's immediate everyday needs with products ranging from snacks and ice cream to household goods and beer, at the click of a button. They are assembling a team of motivated people to help drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.
Lead the vision and delivery of data driven models to optimize the delivery experience.
Collaborate with business, product, and engineering partners to deliver data science solutions.
Build data driven, robust and replicable data science models.
Gopuff is a high-growth startup revolutionizing hyper-local instant e-commerce by warehousing and delivering tens of thousands of products quickly. They're assembling a team of motivated people to drive forward their vision and bring a new age of convenience to an unpredictable world.
Utilize strong SQL & Python skills to engineer sound data pipelines and conduct routine and ad hoc analysis.
Build reporting dashboards and visualizations to design, create, and track campaign/program KPIs.
Perform analyses on large data sets to understand drivers of operational efficiency.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. This company fosters a supportive and inclusive work environment.
Lead the creation and optimization of advanced machine learning algorithms to enhance advertising effectiveness and ROI.
Own the end-to-end development of production-grade ML models and collaborate with Machine Learning Engineers.
Drive the prototyping and rigorous testing of innovative algorithms and data pipelines using historical data.
StackAdapt empowers marketers to reach, engage, and convert audiences. They are a remote-first company with a diverse and inclusive team of collaborative, hardworking individuals.
Write DBT SQL pipelines to automate and manage data assets in Snowflake for our product partners.
Conduct statistical analysis of product usage and engagement data using Python/R with Hex.tech.
Use Sigma Computing to find insights in our customer journey and conduct business enhancing analytical projects.
Vanta helps businesses earn and prove trust by making security continuous and easily verifiable. They have a kind and talented team and thousands of companies rely on them in a way that's real-time and transparent.