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• Partner with stakeholders to translate business challenges into data science problems.
• Own the end-to-end lifecycle of data science models, from data exploration to deployment.
• Develop scalable and efficient models, balancing algorithmic complexity with business needs.

Ocrolus helps lenders automate workflows with confidence, streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.

• 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.

• 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.

• 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.

The Senior Data Scientist will solve meaningful problems, collaborate across teams, and turn complex data into clear, actionable insights. They will work at the intersection of data, product, and engineering to uncover insights, guide strategic decisions, and develop models that enhance user experience and business outcomes. They will design and deliver end-to-end data science solutions that support product innovation and business strategy.

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.

• Build and deploy production machine learning models and pipelines end-to-end.
• Lead technical innovation across the data science organization.
• Develop financial models using alternative data sources.

Happy Money is a consumer finance company that empowers people to achieve their goals through simple, transparent loans funded by trusted financial institutions.

• Develop scalable data assets, analytics, and automation to enhance transparency and performance measurement.
• Design and maintain data pipelines that consolidate information across multiple internal and external systems.
• Translate technical concepts into clear narratives and visuals for diverse audiences.

Anchorage Digital is a crypto platform that enables institutions to participate in digital assets through custody, staking, trading, governance, settlement, and the industry's leading security infrastructure.

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.

• Partner with commercial leaders to influence deal strategy, conducting ad hoc pricing analyses.
• Leverage data to identify trends in member behavior and improve efficiency and retention.
• Drive revenue forecasting and lead monthly financial reviews, including budget vs. actual reporting.

Omada Health is a healthcare provider focusing on lifestyle and behavior change for individuals managing chronic conditions, offering a multi-condition platform. They have over a decade of experience and promote a diverse and inclusive culture, recognized as a Great Place to Work.

• Partner directly with the CFO, VP Finance, and FP&A team to deliver high-impact analytical insights.
• Design and execute sophisticated analytical frameworks to evaluate GitLab's financial performance.
• Develop, maintain, and continuously improve executive-level dashboards and reporting.

GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform , used by more than 100,000 organizations.

• Shape strategy and drive execution of advanced analytics across various domains.
• Architect scalable analytics solutions, including data pipelines and KPI frameworks.
• Guide decision-making with insights using SQL, Looker, and statistical modeling.

NerdWallet is on a mission to bring clarity to all of life’s financial decisions and every great mission needs a team of exceptional Nerds.

• 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.

• 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.

As a Data Scientist at CodePath, you will work across the full analytics and modeling lifecycle, supporting data pipelines, conducting exploratory analysis, building statistical and machine learning models, and developing the insights that guide organizational strategy. You will collaborate closely with data engineering and cross-functional partners to ensure our data systems, analyses, and models enable student success, operational efficiency, and accurate impact measurement. This role is ideal for someone who enjoys solving problems in a fast-paced environment, applies clear analytical thinking, and wants to grow by supporting high-impact projects that advance CodePath’s data and AI work.

CodePath is reprogramming higher education to create the first generation of AI-native engineers, CTOs, and founders.

The Senior Data Scientist will collaborate with cross-functional teams to design, develop, and deploy machine learning models. The role involves research, experimentation, and innovation to advance AI capabilities in financial and operational analytics. The position will also mentor junior team members and contribute to technical strategy, ensuring scalable, reliable, and explainable AI solutions.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

• Design, develop, and maintain data pipelines to integrate data from multiple sources.
• Build and lead a high-performing data engineering team across multiple geographies.
• Partner with Product Managers and Technical Leads to ensure alignment between data initiatives and business outcomes.

HighLevel is an AI-powered, all-in-one white-label sales and marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. With over 1,500 team members across 15+ countries, they operate in a global, remote-first environment, fostering a culture of innovation, collaboration, and impact.

• 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.

• 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.

Partner across the business to deliver insights and enable data-driven decision-making. Perform financial analysis, forecasting, and modeling to support strategic decisions. Develop dashboards and visualizations in BI tools (Power BI/Tableau).

Sutherland is a company that brings a unique value proposition through market-leading technology and business process excellence to iconic brands worldwide.

• Develop and deploy fraud detection, transaction monitoring, and behavioural risk models across payments, accounts, onboarding, and merchant activity.
• Partner with product and engineering teams to embed models into real-time decisioning systems.
• Continuously monitor model performance, drift, and emerging fraud patterns.

Moniepoint is a global fintech building modern financial services for millions of people and businesses across high-growth markets.