Ph3Mission Overview /h3 pKeystone Solutions is seeking a Senior Data Scientist for a consultancy mission at a client site. This role involves accelerating strategic data initiatives through expertise, technical direction, and coaching, while managing a continuous stream of ad-hoc data requests by prioritizing and translating them into reusable solutions and data products. /p h3Core Responsibilities /h3 ul libStrategic Projects Technical Leadership: /b Take the technical lead in complex data projects (e.g., advanced analytics, graph/network analytics, integrations, architectural choices). Shape the approach, solutioning, and priorities of larger initiatives with a focus on feasibility, impact, and scalability. Ensure and promote quality standards, including reproducibility, documentation, methodology, and engineering quality where relevant. /li libTeam Uplift Co-Creation: /b Coach and guide data scientists and analysts through co-creation, content reviews, and sharing best practices. Contribute structurally to enhancing team competencies (methodology, approach, quality, communication). Actively participate in developing team agreements, such as definition of done, work formats, and knowledge sharing. /li libStructuring and Productizing Ad-Hoc Requests: /b Create an overview of incoming requests: intake, slicing, prioritization, status/communication. Cluster ad-hoc work and convert it into structural, reusable solutions (reusable datasets, analysis methods, templates, data products). Apply FAIR principles from a data product perspective with a focus on reusability and quality. /li libProject Management Follow-Up: /b Take on basic delivery/project follow-up (scope, milestones, dependencies, risks). Support the team leader in follow-up and coordination to bring stability to planning and execution. Contribute to stakeholder alignment, including expectation management, decision‑making, and escalations when necessary. /li /ul h3Collaboration Stakeholders /h3 pWork closely within the Data Mining team (data scientists/analysts, and where relevant data engineers/platform stakeholders). Collaborate with the Data Platform team and content partners/stakeholders. Operate in an environment with multiple priorities, requiring structure in intake, follow-up, and communication. /p h3Profile (Must-Haves) /h3 ul liMaster's degree in IT. /li liStrong hands‑on experience as a Data Scientist / ML Engineer with a focus on Python. /li liExperience with data analysis and modeling (pandas, scikit‑learn) and building/improving ML models in a production context. /li liStrong software engineering foundation: Git, code reviews, CI/CD pipelines, Docker; experience in setting up APIs and reusable components (FastAPI). /li liKnowledge of SQL; experience with infrastructure‑as‑code or cloud is a plus (Terraform, AWS/GCP). /li liStrong ability to structure unclear questions and translate them into concrete approaches/deliverables. /li liExperience with coaching/mentoring and working in co‑creation (e.g., technical training, reviews, SCRUM/scrum master role). /li liStrong communication skills (engaging stakeholders, clear reporting, managing expectations). /li liTrilingual (NL/FR/EN) strongly desired, preferably at a high level. /li /ul h3Plus Points (Nice-to-Haves) /h3 ul liExperience with data product thinking, governance, and quality principles (FAIR, definitions, documentation, reusability). /li liExperience with graph analytics/network analytics or other advanced analytics domains. /li liKnowledge of Databricks. /li liPrevious experience within an OISZ is a significant plus. /li liPrevious experience with secondary data use and fraud detection. /li /ul h3Expected Impact (3–6 months) /h3 ul liClearer intake and prioritization process for ad‑hoc requests to the Data Mining team. /li liMore reusable and scalable outputs instead of one‑offs. /li liMeasurable uplift in team quality through coaching, reviews, and methodological agreements. /li liBetter predictability and progress on key data projects and strategic initiatives. /li /ul h3Duration /h3 p22/06/2026 – 31/12/2026, 7 months (full time). /p h3Language requirements /h3 ul liDutch: Level Active knowledge /li liEnglish: Level Active knowledge /li liFrench: Level Active knowledge /li /ul /p #J-18808-Ljbffr