Data Scientist AI Solution Lead Consultant

h3Mission Overview: /h3 pThis is a consultancy mission at the client site, representing Keystone Solutions. As a Keystone Solutions consultant, you will be hired to work on client projects, bringing your expertise and values to every engagement. /p br/ h3Context: /h3 pThe Data Tribe is central to the client’s data-driven transformation, creating value through data platforms, advanced analytics, artificial intelligence solutions, reporting tools, and data governance practices. The Data Tribe consists of four teams: Analytics AI, Data Governance, Visualization Solutions, and Data Hub. The Analytics AI team leverages company data to produce analyses, predictive models, and Data AI solutions that support business decisions, improve operational efficiency, and create measurable value. The team is involved in the entire data value creation cycle: understanding business needs, framing use cases, conducting business analyses, developing statistical and AI models, measuring impact, supporting business teams in data-driven decision-making, and contributing to responsible and governed use of data. The client aims to strengthen its AI strategy and governance in line with group standards and regulatory requirements. /p br/ h3Your Mission: /h3 pAs part of the Analytics AI team, you will act as a senior technical and functional expert, leading advanced Data Science and AI use cases from business scoping through operational deployment and monitoring. You will provide hands‑on guidance, advice, and coaching to strengthen the team’s capabilities. You will work closely with business, Data, and IT teams to challenge needs, assess feasibility and value, and develop or supervise robust and scalable solutions. You will also play a key role in defining, structuring, and implementing the client’s enterprise‑wide AI governance framework, ensuring that AI initiatives are identified, assessed, approved, monitored, and managed consistently in terms of value, investment, risk, and regulatory compliance. /p br/ h3Key

Responsibilities:
/h3 ul liLead Data Science and AI use cases end to end, from business scoping and value assessment through development, deployment, adoption, and performance monitoring. /li liChallenge business needs, assess feasibility, define success criteria, and provide clear recommendations to support prioritization and investment decisions. /li liDevelop advanced analytics, Machine Learning, and generative AI solutions, or supervise their delivery when other team members or partners are involved. /li liCoordinate business, Data, and IT stakeholders, and manage the risks, dependencies, and decisions required to move use cases forward. /li /ul ul liProvide hands‑on guidance, review the team’s work, and coach team members to strengthen their Data Science and AI capabilities. /li liDefine and promote robust technical practices while advising business teams and management on AI opportunities, limitations, and implementation choices. /li /ul ul liLead the definition and implementation of the client’s enterprise‑wide AI governance framework, in line with group standards, responsible AI principles, and the EU AI Act. /li liEstablish practical processes to identify and assess AI initiatives, validate implementations, support investment decisions, track expected and realized value, and ensure regulatory compliance across the organization. /li /ul br/ h3Your Profile: /h3 ul liUniversity degree in a quantitative or technical field, or equivalent professional experience. /li liAt least 7 years of experience in Data Science, Machine Learning, or AI, including end-to-end delivery of solutions from business scoping through production and monitoring. /li liStrong hands‑on expertise in Python, SQL, Machine Learning, and generative AI, with a solid understanding of industrialization and MLOps. /li liExperience as a senior technical reference, providing guidance, reviewing work, and coaching less experienced team members. /li liAbility to challenge business needs, assess value and feasibility, and translate complex topics into clear recommendations for business and management audiences. /li liGood understanding of enterprise-wide AI governance and the ability to help establish a framework to identify, assess, approve, and oversee AI initiatives, investments, value creation, and regulatory compliance. /li liComfortable coordinating cross‑functional stakeholders and operating in a regulated environment. /li liFluent in English and in either French or Dutch. /li /ul br/ h3Keystone Solutions Advantages: /h3 ul liConsultancy Nature: You will work on‑site as a consultant, representing Keystone Solutions and delivering value to the client. /li liDynamic Projects: Experience a diversity of challenges across various client environments, broadening your expertise. /li liTurbo‑Charged Learning: Benefit from professional development and broad learning experiences, accelerating your growth. /li liSkyrocketing Ambition: Keystone Solutions is