Source Job

• 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.

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.

• 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.

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.

• 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 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.

• 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.

• Conduct advanced data analysis and modeling to generate insights using statistical models and machine learning.
• Translate complex data science concepts into actionable business insights for senior executives.
• Collaborate with cross-functional teams to ensure the successful delivery of high-impact data science initiatives.

ConnectiveRx untangles the prescription process and creates a clear path—allowing patients to build trusting relationships with their medication brands.

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.

• 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.

Design and validate rule-based and machine learning models for transaction monitoring. Build and optimize scalable data pipelines integrating blockchain analytics. Lead the development and execution of comprehensive metrics and data reporting frameworks.

OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps).

• Partner closely with AI Decisioning customers and internal engineering teams.
• Diagnose model behavior, tune ML levers, and analyze incrementality.
• Explain insights to marketers and executives.

Hightouch is the modern AI platform for marketing and growth teams, partnering with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.

• 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.

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.

• 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.

This role is pivotal in building and scaling a team responsible for pricing, credit limit modelling, and production credit model deployment. You’ll work closely with our Consumer Credit, Product, and Engineering teams to shape how we assess and price risk, design credit products, and measure outcomes across the credit lifecycle. You’ll build the analytics and modelling foundations that inform underwriting, customer acquisition, retention, and portfolio performance at scale.

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

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.

Lead AI and ML initiatives to design and implement production-grade machine learning systems and pipelines. Develop scalable infrastructure for model training, evaluation, and deployment, ensuring reliability and observability. Collaborate with cross-functional teams to drive innovation and efficiency.

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.

Lead efforts to improve and scale our promotion architecture, optimize data infrastructure, enhance analytical models, and enable data-driven decision-making across the organization. Manage the partnership with our Product and Engineering teams to support works across some of Wealthsimple’s highest priority efforts. Build robust, efficient, and integrated data models in cloud data warehouse that will be used as the source of truth for analytics across the Investing product organization.

Wealthsimple is on a mission to help everyone achieve financial freedom by reimagining what it means to manage your money.