Senior Data Scientist

🔥 49 minutes ago

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Provenir

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2004

☁️ SaaS

💳 Fintech

🤖 Artificial Intelligence

SaaS • Fintech • Artificial Intelligence

Provenir is the Decision Intelligence Platform for financial services providers. It offers a low-code, cloud-native SaaS platform that consolidates data, AI models, analytics and decisioning agents into a single governed environment to support credit risk, fraud & identity, compliance, onboarding, customer management and collections. The platform provides real-time, AI-powered decisioning, a data marketplace for identity/fraud/credit data, case management, and tools for deploying, validating and optimizing models and policies across global markets. Provenir is used by banks, credit unions, fintechs, payments and telco customers and processes billions of decisions annually.

📋 Description

• 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. • Mentor and coach Data Scientists within the region, raising standards of technical delivery and client consultancy.

🎯 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 Spanish and English.

🏖️ Benefits

• comprehensive health and wellness plans • paid time off and company holidays • flexible and remote-friendly opportunities • maternity/paternity leave