Data-Driven Forecasting Analyst – (Pharmaceutical Consultancy)

Sands
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Senior Data Scientist

Data Scientist

Data Scientist - UKIC DV Clearance Required

Data Scientist

Data-Driven Forecasting Analyst – (Pharmaceutical Consultancy)

High Wycombe

Salary/Rate: £28,000 rising to £31,000 after 6 months’ probation, plus quarterly bonus

Are you a high-achieving recent maths or science graduate? Do you have a passion for mathematical problem solving? Are you looking for a unique opportunity to apply your knowledge in a research and development role within pharmaceutical forecasting?

This is a superb opportunity to join a leading research-based organisation who specialise in finding novel evidence-based methods that allow major pharma companies to make accurate commercial predictions (such as forecasting and pricing). Working alongside the Director of R&D, this would be an excellent career move for someone wishing to enhance their data analytics and product development skills.

Responsibilities will include:

  • Gaining familiarity with the main techniques used for pricing and forecasting pharmaceuticals

  • Learning the principles of data analytics

  • Helping the Director of R&D to develop new pricing and forecasting techniques

  • Undertaking literature reviews, data analysis, stress-tests and quality checks on new functionalities

  • Working closely with programmers to implement new techniques as well as look to support the modelling and analytics department as they deploy new techniques

    Once you have been in the role for some time, you will look to:

  • Take responsibility for managing individual stages in the development of new techniques

  • Manage the full lifecycle of developing new techniques, including running research, creating functionalities and working with programming to implement these functionalities

    To be considered for the role you will

  • Have a 2:1 or higher degree in a Mathematics related subject, for example Economics, Maths, Statistics, Physics, Data Science, Actuarial Science, Engineering or Finance

  • Have achieved outstanding A-level grades, with an A or A* in Maths

  • Be highly numerate, have a natural passion for working with numbers, and be highly competent using Microsoft Excel and spreadsheet modelling

  • Have an inquisitive mindset and desire to understand how things work in detail

  • Hold a passion for reading non-fiction books, creating spreadsheets or working with lots of data.

  • You should also be highly self-motivated with a strong ability to work autonomously and ability to follow-through on tasks

    You will be rewarded with a starting salary of £28,000 (increasing to £31,000 upon successful completion of a six‑month probationary period) as well as a generous bonus scheme that reflects your individual performance. Twenty-seven days’ holiday a year in addition to Bank Holidays and a matching company pension contribution of 5% of your salary. Progression, development and training will also be highly prominent.

    For more information or to apply, please contact Chris Vinter.

    Due to the volume of applications we expect for this role, we may not be able to respond immediately. Should you not hear back from us within two weeks, please assume your application was unsuccessful on this occasion.

    Network Scientific is an award-winning science recruitment agency specialising in the provision of temporary, permanent and contract recruitment services to the scientific and related technical industries. We’re an ethical and knowledgeable consultancy passionate about our candidate care.

    If you feel this role is not right for you but are interested in other opportunities in the scientific sector, please take a look at our company website.

    Please note that all applicants for this role should be able to prove that they are legally entitled to work in the UK. Network Scientific Recruitment, part of Network Scientific Ltd. is an Employment Business/Agency

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.