Data Scientist

Data Scientist - AI Solution Lead (Expert) - AlphaCredit

AlphaCredit’s Data Tribe drives the organization’s data-led transformation through data platforms, advanced analytics, artificial intelligence, reporting and data governance. Within the Tribe, the CoE Analytics & AI turns company data into analyses, predictive models and Data & AI solutions that support decisions, operational efficiency and measurable value. The role sits within this center of expertise and works across the full data value creation cycle.

The Data Scientist - AI Solution Lead serves as a senior technical and functional expert, leading Data Science and AI use cases from business scoping and value assessment to development, deployment, adoption and monitoring. The consultant challenges business needs, assesses feasibility, develops or supervises advanced analytics, Machine Learning and generative AI solutions, and coordinates business, Data and IT stakeholders. The role also provides hands-on guidance, reviews team work and coaches colleagues to strengthen Data Science and AI capabilities.

A major part of the mission is to define and implement AlphaCredit’s enterprise-wide AI governance framework in line with Group standards, responsible AI principles and the EU AI Act. The consultant establishes processes for identifying, assessing, approving, validating and monitoring AI initiatives while supporting investment decisions and tracking expected and realized value. The role therefore combines hands-on AI delivery, senior technical leadership, governance and regulatory compliance in a regulated organization.

Top Reasons to Apply

• Shape AI governance
• Build GenAI solutions
• Drive measurable value

Responsibilities

• Lead AI use cases
• Assess business value feasibility
• Define success criteria recommendations
• Develop advanced analytics solutions
• Develop Machine Learning solutions
• Develop generative AI solutions
• Coordinate business Data IT

Must Have

• Equivalent professional experience
• 7+ years Data Science
• Machine Learning experience
• End-to-end solution deliveryBusiness scoping experience

Detailed Responsibilities and Skills

Additional Responsibilities

• Provide hands-on team guidance
• Review team work
• Coach team members
• Define robust technical practices
• Promote robust technical practices
• Advise business management teams
• Define AI governance framework
• Implement AI governance framework
• Validate AI implementations
• Ensure regulatory compliance
• University degree in a quantitative or technical field, or equivalent professional experience.
• At least 7 years of experience in Data Science, Machine Learning, or AI.
• Experience delivering solutions end to end from business scoping through production and monitoring.
• Experience acting as a senior technical reference.
• Experience providing hands-on guidance to team members.
• Experience reviewing the work of team members.
• Experience coaching less experienced team members.
• Ability to challenge business needs.
• Ability to assess business value and feasibility.
• Ability to translate complex topics into clear recommendations for business and management audiences.
• Good understanding of enterprise-wide AI governance.
• Ability to establish a framework to identify AI initiatives.
• Ability to establish a framework to assess AI initiatives.
• Ability to establish a framework to approve AI initiatives.
• Ability to establish a framework to oversee AI initiatives.
• Understanding of governance for AI investments.
• Understanding of AI value creation oversight.
• Understanding of regulatory compliance for AI.
• Comfort coordinating cross-functional stakeholders
• Ability to operate in a regulated environment.
• Fluent French or Dutch.

Technical skills

• Strong hands-on SQL expertise.
• Strong hands-on Machine Learning expertise.
• Solid understanding of industrialization.
• Solid understanding of MLOps.
• Experience with Data Science.
• Experience with Machine Learning.
• Experience with Artificial Intelligence solution delivery.
• Experience with business scoping for Data Science and AI solutions.
• Experience with production deployment of Data Science and AI solutions.
• Experience monitoring Data Science and AI solutions.