Senior Business Data Scientist - Data & Transformation services
Paris
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
Permanent — employment source
Employment type Permanent position
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Job description
You join as Senior Business Scientist within our Data & AI Transformation Services (DATS). You bridge business, consulting, AI & data expertise: you frame high-value use cases, turn business needs into AI opportunities, and drive adoption. You work alongside AI, Data and Software Engineers.
Clients' Projects
- Lead the day-to-day relationship with business and CDO/CIO sponsors, and understand their strategic and operational challenges.
- Frame high-value Data & AI use cases and translate business needs into AI opportunities, from AI ambition and roadmap to Proof of Value and MVP.
- Depending on the engagement, act as Data & AI Product Owner: own the product vision and backlog, prioritize with business sponsors, write and accept user stories, steer the squad's delivery with the Tech Lead from Proof of Value to MVP and production, and own the related delivery governance and planning.
- Align business teams, leadership and ExCo around the AI roadmap and the transformation priorities.
- Own the business value and adoption of the solutions built by the squad: operating model, usage, impact measurement, Responsible AI and governance. Challenge their feasibility and industrialization with the Tech Lead and the Tech Engineers; you do not build the models yourself, but you are technical enough to challenge and steer GenAI, LLM, agentic and ML solutions.
- Contribute to the Transformation Cockpit: maturity measurement, adoption KPIs and steering of AI value over time.
- Work within a multidisciplinary squad (Tech Lead, AI/Data/Software Engineers), apply Ekimetrics' DATS methods, templates and deliverables, and tailor them to each client.
- Coordinate the business side of the squad and monitor delivery and profitability with manager support.
Strategic Projects
- Develop and share best practices, methodologies and DATS assets (how-tos, templates, typical deliverables) across the Data & AI Transformation community.
- Stay up to date with AI, GenAI, ML and agentic technologies, and with their impact on business models and operating models.
- Contribute to internal AI initiatives, accelerators and thought leadership.
Business Development
- Identify opportunities for Data & AI transformation within existing client accounts (upsell and cross-sell).
- Contribute to account development, renewals and project scoping, alongside the Partner.
- Contribute to RFPs, proposals and pitches.
- Support the development of new DATS offerings and use cases.
Transversal & People Development
- Contribute to recruitment, onboarding and development of Data & AI Transformation talent.
- Mentor and coach Junior Business Scientists and interns.
- Develop and deliver internal AI / Data training and knowledge-sharing sessions.
Profile
- Senior level: you have already led client engagements, coordinated a team and contributed to business development.
- Hybrid business-tech profile: you can connect business value, data, AI/GenAI, technology and adoption, and talk credibly with both sponsors and engineers.
- Proven product ownership experience on data or AI products (backlog, prioritization, agile delivery).
- Experience facing senior stakeholders and driving change or transformation, beyond the delivery of pilots.
Employment type
Permanent position
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
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Source & posting history
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Paris
- Senior level: you have already led client engagements, coordinated a team and contributed to business development. - Hybrid business-tech profile: you can connect business value, data, AI/GenAI, technology and adoption, and talk credibly with both sponsors and engineers. - Proven product ownership experience on data or AI products (backlog, prioritization, agile delivery).
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Oct 6, 2026
- Recorded sightings
- 1
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