Sailpeak
Consulting
DataScienceIntern
Neural analysis suggests this role is
optimal for Entry candidates.
“Data Science Intern at Sailpeak. Skills: Data Science, AI, Analytics. Contribute to AI projects. Support client projects”
Industry & Context.
Analytical skills; Problem-solving skills
What They're Looking For.
Must Have
0-2 years experience, Bachelor's or Master's degree, Basic Python knowledge, Familiarity with AI concepts
Nice to Have
French or Dutch fluency a plus, PhD preferred, Specific ML framework experience, Cloud platform certs
What You'll Do.
Contribute to AI projects
Support client projects
Benchmark AI technologies
Develop proof-of-concepts
Integrate Generative AI
Identify AI use cases
Document methodologies
Document recommendations
Participate in brainstorming
How You'll Work.
Team & Collaboration
Collaborate with teams; Collaborate with consultants
Full Job Description
About Sailpeak At Sailpeak, we are a Brussels-based consulting firm specializing in guiding Banking & Insurance firms through the complexities of digital transformation. With expertise in Business Strategy, Data & AI, and Digital Transformation, Sailpeak helps clients navigate the ever-evolving landscape and reach new heights of success. 🤖 About the Role We are looking for a Data Science Intern with 0–2 years of experience who is excited about AI, data, automation, and innovation. This is not a “theoretical only” internship. You’ll work on real internal AI projects, support consultants on client initiatives, contribute to AI benchmarks and workflows, and help shape how Sailpeak leverages AI internally. You will work part-time (2.5 days/week) in a fast-growing and entrepreneurial environment where ownership, curiosity, and initiative are highly valued. If you enjoy dynamic environments where no two weeks look the same, you’ll fit right in. 📊 You will: - Contribute to internal AI and Data Science projects such as the Sailpeak AI Barometer. - Support consultants on data and AI-related client projects. - Research and benchmark AI tools, technologies, and market trends. - Help design and build AI workflows, automations, and internal productivity solutions. - Analyze datasets and extract actionable insights. - Assist in developing prototypes, dashboards, and proof-of-concepts. - Explore opportunities to integrate Generative AI into internal and client-facing processes. - Collaborate with different teams to identify AI use cases and improvement opportunities. - Document findings, methodologies, and recommendations clearly. - Participate in brainstorming sessions around innovation, AI adoption, and digital transformation. 📊 You bring to the table: - 0–2 years of experience or internships in Data Science, AI, Analytics, Computer Science, Engineering, or related fields. - A Bachelor’s or Master’s degree (ongoing or completed) in Data Science, Computer Science, Engineering,
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