Source Job

• Lead the development of machine learning projects from requirements gathering to deployment.
• Design, implement, and maintain ML pipelines, including data ingestion, feature engineering, modeling, evaluation, and deployment.
• Conduct research and develop advanced analytical and optimization methods to enhance platform capabilities.

Jobgether is a company that is looking for a highly skilled and motivated Senior Data Scientist to join a dynamic, data-driven team.

• Lead predictive and descriptive analytics initiatives across various domains.
• Design research workflows and oversee full-lifecycle development of data-intensive and AI-driven applications.
• Partner with teams to translate business challenges into robust, data-backed solutions.

Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

• Design and execute custom SQL queries to resolve complex data inquiries.
• Develop reports and MI dashboards, utilizing tools such as PowerPoint, ZOHO Analytics, and Microsoft Power BI.
• Collaborate with the account team to ensure data integrity and maintain accurate MI data.

Brandtech+ (formerly known as OLIVER+) is a global team specializing in film, CGI, automation, AI, motion design, and digital/print content. As a part of The Brandtech Group, they're leveraging AI technology to revolutionize how they create and deliver work, partnering with over 300 clients in 40+ countries.

• Build and maintain data pipelines integrating financial data from various systems.
• Ensure data quality, lineage, and governance standards for finance data systems.
• Build predictive models for customer lifetime value, churn, and revenue forecasting.

Oura empowers individuals to understand and improve their health through their Oura Ring and connected app, providing insights into readiness, activity, and sleep. They are a rapidly growing company focused on helping people live healthier and happier lives.

Improve the performance and lifecycle of production ML systems. Collaboratively design and deploy end-to-end ML models, LLMs, and agent systems. Lead the strategy and execution of proofs of concept to validate technical feasibility.

Clarity AI is a global tech company founded in 2017 with a unique mission: bringing societal impact to markets by leveraging AI and machine learning technologies.

We are seeking a highly skilled and motivated Senior Data Scientist to join a dynamic, data-driven team. Work on designing, building, and enhancing AI-powered analytics solutions that transform how organizations manage financial risk and optimize spend. Collaborate closely with product managers, engineers, and fellow data scientists to deliver machine learning models and analytical tools that have a direct impact on business outcomes.

Jobgether is a company that uses AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

• Manage our thought leadership strategy, grounded in data analysis and empirical thoughtfulness.
• Use Python and SQL to independently explore datasets, validate hypotheses, and surface unique insights.
• Translate analytical findings, model outputs, and product capabilities into clear, market‑facing narratives that demonstrate value.

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 their corporate headquarters are in Dublin, Ireland.

• 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.

• Building, maintaining and enhancing credit risk models for lending portfolios.
• Extract, clean and manipulate large data sets using SQL and Python; build pipelines and analytics to perform model and portfolio monitoring.
• Perform exploratory data analysis (EDA) to identify portfolio trends, drivers of loss performance and provide insight into model deviations.

Achieve is a digital personal finance company that provides personalized financial solutions. They leverage data and analytics to offer personal loans, home equity loans, debt consolidation, and financial tools. They have over 3,000 employees and a strong people-first culture.

• Design and deliver AI-powered advisors, assistants, and analytic agents.
• Build and maintain high-quality, production-ready Python services.
• Apply, adapt, and fine-tune foundation models to deliver reliable AI experiences.

Energage helps organizations turn employee feedback into useful business intelligence and credible employer recognition through Top Workplaces. Built on culture research and the results from 23 million employees surveyed across more than 70,000 organizations, Energage delivers the most accurate competitive benchmark available.

• Maintain and enhance loss forecasting methodologies for unsecured personal loan portfolios.
• Extract, clean, and manipulate large data sets using SQL and Python to support forecasting and reporting.
• Perform exploratory data analysis to identify portfolio trends and drivers of loss performance.

Achieve is a leading digital personal finance company that provides innovative, personalized financial solutions.

• Engage with leading LLM labs to advance LLMs across STEM domain
• Define and understand data quality rubric
• Ship proactive data packs

Turing, based in San Francisco, is a research accelerator for frontier AI labs and a partner for global enterprises deploying advanced AI systems. The leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT and is recognized by Forbes, The Information, and Fast Company among the world’s top innovators.

• 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.

• Design complex LLM prompts that accurately represent real customer journeys and service interactions.
• Partner with Field Engineers to transform raw data into structured, high-quality tasks for model training.
• Annotate and review tasks to ensure strict quality standards and alignment with expected customer outcomes.

Welo Data works with technology companies to provide datasets that are high-quality, ethically sourced, relevant, diverse, and scalable to supercharge their AI models.

Transform data into actionable insights for product, operational, and business decisions. Analyze complex datasets and build predictive models to solve ambiguous problems. Collaborate with cross-functional teams to define data needs and drive data-driven solutions.

Oowlish is one of Latin America's rapidly expanding software development companies.

• 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.

• Create and maintain dashboards to track product usage and key business metrics.
• Derive insights from billing data to back up product development decisions.
• Analyze current and projected costs for AI platforms.

JetBrains strives to make the world’s most robust and effective developer tools. By automating routine checks and corrections, their tools speed up production, freeing developers to grow, discover, and create.

• Evaluate traditional, alternative, transactional, and raw datasets for use in underwriting, portfolio management, collections, and fraud.
• Lead quantitative due diligence for M&A targets and data partnerships, assessing data quality, depth, coverage, stability, and scalability.
• Design and implement validation frameworks to measure predictive lift, segmentation value, and incremental performance versus incumbent data.

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 are in Dublin, Ireland.

• 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.

• Develop quantitative models of electoral outcomes for independent candidates.
• Analyze public opinion data to help candidates better serve their communities.
• Partner with engineering, operations, and product teams to incorporate new datasets.

GoodParty.org is on a mission to make people matter more than money in our democracy by empowering independent candidates to run, win, and serve.