Job Position:

Data Innovation Lead

Nearest office:

London, North Row, 64 North Row, Mayfair, London W1J 5RL

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At GPI, data, a product in its own right, is also the foundation on which our high-value analytics and research is based.  As an insights business we’ve identified a need for data science and advanced analytics to help develop our product roadmap to enable a more differentiated, and compelling set of services for our clients in the pricing and market access domain.

The Head of Data Innovation will bring data science and advanced analytics capabilities into GPI, developing strong relationships with various departments across the organisation to increase our ability to delight customers and take our products and services to the next level.

Responsibilities and Duties:

  • Establish a strategy for data science and associated capabilities on advanced analytics and AI technology to extract differentiating meaning from GPI data sets.
  • Applying data science techniques to extract insights from our large, proprietary corpus of pricing and market access data.
  • Utilising machine learning to augment our human intelligence and accelerate our data ingest processes and external insights provision
  • Strong emphasis on automation and scalability from the outset
  • Work alongside our software engineers to take models/analyses all the way to live, production systems.
  • Explaining techniques used in plain, jargon-free language, to ensure the business (and sometimes clients) fully understand the benefits and any limitations.
  • Staying abreast of new tools and techniques and applying them appropriately.

Key Subject Matter / Technical Skills:

  • Foster an agile, high-performance, collaborative culture which is creative, open, supportive and dynamic with high levels of continuous improvement mind-set.
  • Experience managing data through its lifecycle (especially sourcing, validating, and deploying).
  • Experience with ETL and data manipulation tools helpful, such as Alteryx or managing other relevant systems.
  • Experience with different types of databases, including structured and unstructured.
  • Strong organisational and project management skills and ability to work across regions and cultures.
  • Exceptional analytical, quantitative, problem-solving, and critical thinking skills
  • Familiarity with advanced statistical techniques
  • Experience developing and deploying machine learning models
  • Highly proficient in at least one programming language with good data science support (e.g. Python, R, Matlab, etc.)
  • Extremely strong written and spoken English


  • Degree in Mathematics, Statistics, Engineering, or Data Analytics or related experience.
  • Certifications in machine learning technologies

Personal Attributes:

  • A can-do attitude, proactive and always looking for opportunities to drive the organisation forward through collaborating with the rest of the team and our partners.
  • Self-Driven to exceed expectations and able to inspire others along to perform at similar levels.
  • An accomplished communicator at all levels of the business to technical and non-technical audiences alike. Able to adjust their messaging accordingly.
  • Able to align tactical ambition with strategic business goals.
  • An understanding of communication needs to the Executive team and other key stakeholders
  • Customer focused mindset with a strong commercial awareness

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GPI Culture

At GPI, the people are at the centre of everything do. We are a diverse, global team that bring different skillsets, ideas and creative thinking to every project.

Professional Development

At GPI, the people are at the centre of everything do. We are a diverse, global team that bring different skillsets, ideas and creative thinking to every project.

About GPI

GPI is a market leader in analytics and innovative solutions for biopharma pricing, market access and commercial strategy.

GPI is a price and market access insights company, providing innovative approaches to the biopharma industry. Headquartered London, GPI utilise analytical approaches to provide evidence-based decision support, helping clients to make better investment decisions.

As a people-centric organisation, we strive to create opportunities for the best people in the industry. Our cultural values are centred on our corporate values: authenticity, sustainability, quality matters and collaboration. Through our training and career programme LEAP we promote the ambitions of inspiring and talented individuals so that together we can make a difference to the life sciences industry.

As a business, we support our biopharma clients through:

Our mission is to lead the way forward to a future where data-driven strategies are the foundation for confident decision-making. We begin with our clients’ greatest challenges and harness the power of technology and our team of experts to offer holistic solutions.

If you are an ambitious individual, looking for the next step in your career and want to work in a collaborative and open environment, please send across your CV to