Senior Principal - AI Analytics & Transformation

Bengaluru Luxor North Tower, India

GSK

At GSK, we unite science, technology and talent to get ahead of disease together

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GSK is a global healthcare company committed to improving the quality of human life by enabling people to do more, feel better, and live longer. We focus on creating innovative products in the pharmaceuticals and vaccines. It is an ambitious vision that will require the development of products and solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat.  

This role is for a sub-function within the commercial team which applies machine learning and AI methods to solve fundamental problems in Business Intelligence domain to accelerate the transformation initiatives.

Improved business insights in this space have the potential to be transformative, empowering commercial leads to make better and faster data-driven decisions.

We are looking for a Senior Principal - AI Analytics & Transformation who is a full-stack cross analytics function, consisting of AI product and portfolio leadership, data / metadata / knowledge platforms, and AI/ML, infrastructure and DevOps.

Our teams are building a modern, intelligence-first data framework for standardizing and templatizing Commercial data pipelines for our stakeholders and the selected candidate will be responsible for: 

  • Design, build, and operate GenAI/ traditional AI/ analytics tools, services and workflows that deliver high value through the solution to key business problems (Eg: Facilitate the transition from traditional reporting methods to self-serve analytics powered by AI)
  • Be responsible for the development of key components of a scalable analytics platform supporting GSK stakeholders along with their collaborators 
  • Build connections with commercial leadership teams and others across the organization to influence outcomes, enable team success and foster long-term partnerships that are critical to organizational success.
  • Promote shared consciousness and information flow: Acting as a key enabler to ensure the right stakeholders are included at the right time and equipped with the right information for decision making.
  • Partner with Infra and DevOps team where modifications to underlying tools (e.g. infrastructure as code, Cloud Ops, DevOps, logging / alerting) are needed to serve new use-cases, and to ensure operations are planned   
  • Consult stakeholders on application scalability to petabytes of data by having a deep understanding of software engineering, algorithms, and underlying hardware infrastructure and their impact on performance. 
  • Produce well-engineered software, including appropriate automated test suites, technical documentation, and operational strategy 
  • Ensure consistent application of platform abstractions to ensure quality and consistency with respect to logging and lineage 
  • Be fully versed in coding best practices and ways of working, and participates in code reviews and partnering to improve the team’s standards 
  • Provide leadership to team members to help others get the job done right. 
  • Manage complex, multi-quarter, cross-functional projects 
  • Be a standard bearer for data science and software engineering best practices within the organization 
  • Develop plans to meet requirements, organize a team capable of executing the plans, and lead and track delivery. 
  • Operate in a transparent way, communicating clearly and accurately to leadership and the broader organization 
  • Develop a high-performing team through coaching, feedback and ensuring opportunities for growth 

Why you?

Qualifications & Skills:

We are looking for professionals with the required skills to achieve our goals:

  • Graduate studies in Computer Science or Applied Math, undergraduate studies in Computer Science and relevant graduate studies in the life sciences with a focus on AI/ML techniques, or undergraduate studies in Computer Science and equivalent work history.
  • 16+ years’ experience of professional software development practices: code standards, code review, version control, CI/CD, testing, documentation, Agile, with the ability to mentor others in these practices 
  • 8+ years’ experience in a technical lead or engineering manager role with direct reports 
  • Expertise in Generative AI tools/frameworks (e.g. AI Agentic frameworks) and their integration into production systems.
  • Have a deep theoretical and practical understanding of AI, related mathematics, programming paradigms, data operations and implement adoption
  • Ability to research emerging AI/ML trends, rapidly develop proof-of-concepts (PoCs) & drive innovation.
  • Strong foundation in Machine Learning (supervised/unsupervised learning, NLP, neural networks) and Data Science concepts (statistics, data modeling).
  • Knowledge of cloud platforms (AWS/Azure/GCP)
  • Experience with programming best practices (OOP, version control, CI/CD) and distributed systems
  • Advanced Python programming skills and a track record of delivering robust software solutions 
  • Proficiency with standard deep learning algorithms and model architectures, including sequence or graph based methods 
  • In depth knowledge in machine learning best practices, scalable training and deployment 

#LI-GSK

Why GSK?

Uniting science, technology and talent to get ahead of disease together.

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

  
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Agile Architecture AWS Azure Business Intelligence CI/CD Computer Science DataOps Data pipelines Deep Learning DevOps Distributed Systems Engineering GCP Generative AI Machine Learning Mathematics NLP OOP Pharma Pipelines Python Research Statistics Testing Unsupervised Learning

Perks/benefits: Career development Startup environment

Region: Asia/Pacific
Country: India

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