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Lead Commercial Data & AI/ML Specialist

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What you’ll work on

Full posting
  • Translate agreed business requirements into analytics and AI-enabled solutions

  • Deliver solution components across development, testing, deployment and support

  • Assess use cases on business value, patient access impact and feasibility

  • Track and report performance and adoption, such as forecast accuracy

  • Provide domain and analytical input to solution design

From the employer’s posting
Translate agreed business requirements into analytics and AI-enabled solutions
Deliver solution components across the lifecycle, including development, testing, deployment, documentation and support
Assess assigned use cases against business value, patient access impact, data availability, technical feasibility
Track and report performance and adoption, such as forecast accuracy, pricing optimisation
Provide domain and analytical input to solution design
Education & alternatives
You combine commercial or market access understanding with hands-on analytics or AI delivery, and you work well with people across functions, cultures and time zones. - A Bachelor’s or Master’s degree in Business Management, Computer Science, Statistics, Mathematics, Economics, Health Economics, Life Sciences or a related field. Relevant professional experience can be considered in place of an advanced degree. - Typically 8–10 years of experience in Market Access, Pricing, Reimbursement, HEOR, Commercial Analytics, Data Science or AI-enabled product development in pharmaceuticals, life sciences, healthcare or another regulated industry.
Apply at Novo Nordisk

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Actively hiringFirst seen by us 3 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 9, 20263 days ago
Recorded sightings
5
Last seen by us
Nov 13, 2026

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From 48 similar postings that came down. Coming down is not always a hire.

Novo Nordisk is hiring

15 open jobs

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Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
August 17Last week

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About the role

We file this job under AI Engineer, by the work the posting describes.

AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.

Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.

An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.

Job description

View original posting ↗

   

Company: Novo Global Business Services (GBS)

 

 

Your impact begins here

As Commercial Data & AI/ML Specialist, you will turn defined business needs in Market Access, Pricing, Reimbursement, Contracting and Evidence Generation into practical, AI-enabled solutions. Working within the Access & Pricing AI roadmap, you will deliver the work packages that help teams make sharper pricing decisions, engage payers more effectively and move access strategies forward faster. Your work supports timely access to treatment for people living with serious chronic diseases.

 

What you’ll bring

You combine commercial or market access understanding with hands-on analytics or AI delivery, and you work well with people across functions, cultures and time zones.

  • A Bachelor’s or Master’s degree in Business Management, Computer Science, Statistics, Mathematics, Economics, Health Economics, Life Sciences or a related field. Relevant professional experience can be considered in place of an advanced degree.
  • Typically 8–10 years of experience in Market Access, Pricing, Reimbursement, HEOR, Commercial Analytics, Data Science or AI-enabled product development in pharmaceuticals, life sciences, healthcare or another regulated industry.
  • Practical experience translating market access or pricing needs into clear analytical requirements, solution components or data-driven deliverables.
  • A good understanding of pharmaceutical concepts such as pricing, reimbursement pathways, payer decision-making, contracting, access forecasting, evidence generation or global-to-affiliate market dynamics.
  • Hands-on experience contributing to analytics or AI solutions, from requirement clarification, analysis and development through testing, deployment, documentation, adoption, monitoring and operational support.
  • Working knowledge of data governance, responsible AI, explainability, privacy, security, model monitoring and regulatory expectations, applied through established standards and controls.
  • Experience working in a global matrix and virtual delivery model, with flexibility for reasonable overlap across India, U.S. and Denmark time zones when business needs require it.
  • Clear communication, the ability to resolve routine issues independently, and the judgement to escalate significant trade-offs or decisions to the relevant lead.

 

Useful, but not essential:

•      Education or experience gained in an international, cross-cultural or globally distributed environment.

 

What you’ll do

You will deliver assigned parts of the Access & Pricing AI roadmap, from problem clarification to adoption, so that business teams can use AI and analytics in their day-to-day decisions.

  • Translate agreed business requirements into analytics and AI-enabled solutions for pricing, access planning, reimbursement, contracting, payer intelligence and evidence generation.
  • Provide domain and analytical input to solution design, working within established architecture, data governance, security and responsible AI requirements.
  • Assess assigned use cases against business value, patient access impact, data availability, technical feasibility, regulatory requirements and stakeholder readiness, and give evidence-based input to prioritisation.
  • Deliver solution components across the lifecycle, including development, testing, deployment, documentation and support, applying agreed standards for model development, forecasting, simulation, scenario planning, monitoring and governance.
  • Track and report performance and adoption, such as forecast accuracy, pricing optimisation, payer engagement effectiveness, time-to-market for access strategies and automation gains, and turn the findings into improvements.
  • Use approved data sources, keep documentation transparent and auditable, and raise potential compliance, privacy, risk or medical concerns promptly.

 

Who you’ll work with

In Enterprise IT & Quality, colleagues work across the Novo value chain, staying close to stakeholders and helping deliver trusted technology, high quality and responsible ways of working. You will be part of a multidisciplinary AI product team in India, alongside data scientists, AI engineers, data engineers, product managers, analysts and access specialists.

Day to day, you will coordinate with colleagues in the U.S. and Denmark across Market Access, Pricing, HEOR, Commercial Strategy, Public Affairs, Medical Affairs, Finance and Technology. You will also partner with evidence generation teams, affiliate stakeholders, and Legal, Compliance and Privacy colleagues. Together, you will clarify needs, agree priorities and keep delivery and adoption moving across locations and time zones.

 

What you can expect here

You will work in a global, collaborative environment where your expertise is valued and your input shapes what gets built and how it is used. You will share practical knowledge in market access analytics, payer decision-making, HEOR methods and responsible AI, and learn from colleagues across disciplines and geographies. You will be trusted to own your work, supported to perform at your best and encouraged to speak up when something needs to change.

 

Start now

Your impact begins today. If you are ready to turn market access and pricing expertise into AI-enabled progress for people who need timely access to treatment, apply for the Commercial Data & AI/ML Specialist role by 20th Nov 2026

 

                                          

 

We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.

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Bangalore, Karnataka, IN

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