Principal Data Scientist – Health & AI

The problem were hiring you to solve

Commercial pharma is sitting on a measurement problem. Launch decisions field force deployment HCP engagement pricing - most of the value moves before anyone knows what worked and the standard playbooks werent built for fragmented channels privacy constraints or the causal questions that actually matter to commercial leaders. And the ground keeps moving - AI is rewriting what analytics even means to a commercial org and the regulatory and tech stack underneath it all is shifting faster than most teams can absorb.

Intellishore works at the sharp end of this. Our commercial pharma practice partners with global top-20 pharma pioneers on data and AI decisions that shape launches portfolios and commercial performance. Were hiring a Principal Data Scientist to lead the technical depth of this work shaping methodology owning delivery on our most demanding engagements and building out how we deliver measurements causal inference and machine learning in the next generation of our offerings.

What youll actually do

• Lead the data science workstream on senior client engagements - typically 1-2 concurrent projects working directly with client executives and brand leadership.
• Set the technical bar on machine learning and forecasting across our commercial pharma portfolio and build the methods and templates that scale across the practice and into new segments.
• Mentor and grow a small team of data scientists and engineers. Team size: 10 today growing to 30.
• Shape new offerings alongside our leadership - from scoping to pricing to the IP that underpins them.
• Represent Intellishore externally: Thought leadership conferences and senior client conversations where credibility matters.

Who you are

Must-haves:

• 8 years in data science with meaningful time spent on machine learning and forecasting in commercial marketing or pricing contexts.
• Track record of leading senior client-facing engagements or business-critical internal programs - consulting in-house commercial analytics or both.
• Strong domain grounding in pharma healthcare or another regulated industry where commercial measurement is hard.

Nice to have:

• Understanding MLOps at a level where you know what good looks like and can still get your hands dirty when it matters.
• Experience shaping or launching data/AI offerings practices or products.
• Danish is a plus not a requirement. Our working language is English.

Why Intellishore

Were a boutique of 100 people across Copenhagen and Zürich and our commercial pharma stronghold is genuine - not a side bet. That means three things that matter at your level:

• Real mandate.Youll own the technical direction of a practice not a single workstream within a larger machine. If youve wanted to shape how a firm approaches machine learning in healthcare this is the seat.
• Concrete path.Practice Lead for ML in Commercial Pharma within 12 years; Director track over 24 years from hire. Well map it to your ambitions in the first conversation.
• Compensation.Well be direct about level bonus structure and the full package early in the process.

Practicalities

• Based in Copenhagen. Expect 3-5 days in the office or at the client site. Travel roughly 5% of weeks primarily within Europe.
• You must have the right to work in Denmark at the time of application.

Apply

We read every application. If most of this resonates but you dont tick every box apply anyway wed rather have the conversation.

Reach out to Sofie Freund with questions:. We interview on a rolling basis.