Senior Data Scientist Consultant

Provenir

2d•Remote

About The Position

Who We Are Provenir is a global fintech company with offices across North America, the UK, and Singapore backed by talented teams across APAC, EMEA, and LATAM. Provenir helps fintechs, financial institutions, and payment providers make smarter decisions, faster. We are passionate about technology and empowering businesses to become industry leaders. As a leading provider of decisioning and analytics products for financial services and other industries, we empower businesses to create digital-first decisioning solutions that drive business growth. If you’d like to work at an innovative fintech with a global footprint that is redefining the industry, then we want you! About Global Applied Intelligence Global Applied Intelligence (GAI) is the team that turns Provenir's platform capability into measurable client outcomes. We deploy data science, applied AI, and delivery expertise directly into client engagements, operating as trusted advisors and technical partners, not back-office implementers. GAI operates through regional business partnerships supported by global practices, meaning the right expertise reaches every engagement regardless of geography. What You’ll Do This is a commercially significant hire. You will be a Data Science business partner working directly with clients to shape and deliver high-impact solutions in fraud, credit risk, and collections. This is not a back-room modelling role. You will be in front of clients, understanding their business challenges, designing solutions that create measurable value, and communicating that value clearly to senior stakeholders. You will also support the commercial pipeline, partnering with Sales and Solutions Consulting to shape opportunities and win new business. Reporting to the Head of Data Science within GAI, you will have the backing of a strong global practice and the platform to build a reputation in one of our most strategically important regions. This is a remote role, but you must be based in South Africa . Occasional travel may be required for regional team meet-ups and client meetings.

Requirements

7+ years in a data science role, with hands-on expertise in supervised and unsupervised ML methods.
Domain expertise in at least one of: fraud detection, credit risk management, or collections analytics.
Demonstrated B2B client-facing experience, confident engaging senior stakeholders on ML products and their business value.
Strong commercial instinct: ability to frame, estimate, and communicate ROI on data science initiatives.
Strong data wrangling skills: merging, cleansing, sampling, and preparing complex datasets.
Exceptional communication skills and the ability to build trust across technical and non-technical audiences.
Fluent in English.

Nice To Haves

Experience drafting project proposals and statements of work.
Demonstrated track record of leading data science projects and raising standards of those around you.
MLOps best practices: CI/CD, pipeline orchestration, model monitoring.
Industry experience in auto finance or telco financial services.

Responsibilities

Engage directly with clients, including at senior and C-suite level, to diagnose business challenges and design data science solutions with clear, quantified business value.
Lead delivery of fraud, credit risk, and collections analytics projects from scoping through implementation, on time and within scope.
Communicate technical solutions and outcomes to non-technical audiences, including senior client stakeholders and executive sponsors.
Partner with Sales and Solutions Consulting during the commercial cycle, shaping proposals, contributing to statements of work, and providing technical credibility in client conversations.
Help identify and qualify data science opportunities across the region, including proactively surfacing expansion opportunities within existing accounts.
Identify, source, and prepare data to enable the development, calibration, and deployment of state-of-the-art AI/ML models across the credit lifecycle.
Stay current on emerging data science trends and techniques; propose high-leverage innovations that strengthen Provenir's competitive position.
Contribute to analytical strategy and product development with expert input grounded in real client experience.
Mentor and coach Data Scientists within the region, raising standards of technical delivery and client consultancy.
Operate effectively in ambiguity, pivoting fluidly between hands-on problem solving and high-level roadmapping as business needs demand.