Mathematical Modeller

Scientis Search Ltd

Bicester

9 months ago

Applications closed

Related Jobs

View all jobs

Assistant Professor in Actuarial Data Science (T&R)

Data Analyst – MOT & Commercial Insights (Hybrid)

Assistant Professor of Mathematics — Data Science & Global Teaching

GenAI Validation Data Scientist – Model Risk

Computer Vision Specialist - Freelance AI Trainer Project

Junior Data Analyst - Growth Insights + Flexible Hours

Mathematical Modeller – Join an Innovative Market Access Consultancy

Are you a creative and talented Mathematical Modeller looking to apply your skills to real-world challenges? If you're passionate about developing innovative models that provide clear and transparent solutions to complex problems, we want to hear from you.

Our client, a renowned market access consultancy, is looking for a skilled Mathematical Modeller to join their award-winning team. As Mathematical Modeller you will play a key role in developing sophisticated models that support crucial decisions within the life sciences industry—spanning pharma, diagnostics, medical devices, healthcare, and beyond—across a variety of disease areas.

About the Company

Founded in 2011 by a post-doctoral modeller recognized for expertise in complex modelling, the company set out with a vision to create a science-driven, innovation-led consultancy in the market access space. They believe in a data-rich, scientific approach to market access, which has proven essential in delivering stronger health economics and market access solutions.

Now, 14 years on, the company has thrived and is well-known for its excellence in mathematical, economic, and statistical modelling. They support a diverse range of clients, from start-ups and SMEs to global multinationals and health organisations, helping them understand the efficacy, efficiency, and value of treatments, diagnostics, and healthcare solutions. The company excels in all types of modelling, including economic, decision, disease and natural history models, as well as complex simulation models. They are trusted experts in creating new models that break down intricate problems with clarity and transparency.

The company attributes its success to the exceptional talent they have on their team. To help employees reach their full potential, they offer an inspiring work environment, career development opportunities, a strong focus on work-life balance, and a highly competitive remuneration package.

The Role

As a Mathematical Modeller, you will be a key figure within the company’s health economics modelling team. You will design, develop, and evaluate intuitive models that directly contribute to decision-making processes, all while collaborating with a highly talented and creative team.

Key Requirements for the Role:

Education:

A degree in Mathematics or a related field. A PhD is desirable but not essential.

Experience:

Proficiency in Excel and VBA (experience with other languages such as C++, Python, etc., is a plus)
Strong background in developing complex models
Growing experience in project management
A passion for translating complex data into clear, actionable insights through model design and evaluation
Interest in how data science and engineering can solve real-world problems
Ability to think critically and creatively, developing innovative solutions

Why Join the Company?

Be part of a forward-thinking, innovative team at the forefront of market access consultancy
Work with a variety of clients, from cutting-edge start-ups to global leaders in the life sciences industry
Enjoy a healthy work-life balance, excellent career growth opportunities, and a competitive salary package

If you are an innovative thinker with a passion for developing impactful models, this is a fantastic opportunity to join a company that values creativity and expertise in equal measure.

To Apply

For more information or to express your interest in this exciting opportunity, please contact .

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

Industry Insights

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

Jan 24, 2026

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

Jan 18, 2026

Careers Jobs

Machine Learning Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

Jan 13, 2026

Jobs

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.