Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Scientific Software Developer

Scientis Search Ltd
Cardiff
7 months ago
Applications closed

Related Jobs

View all jobs

Lead R Data Scientist - Sustainability

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Head of data engineering - remote

An award-winning Market Access Consultancy, renowned for creativity and innovation, is looking for aScientific Software Developerto join their cutting-edge Operational Research Team as anOperational Researcher. This is an exceptional opportunity for an experienced Developer with a strong background in R and system design, skilled at developing bespoke software solutions, to join an incredible Operational Research team dedicated to developing beautiful solutions to complex real-world problems.


Please note role could be based in Cardiff OR Bicester depending on the candidates preference.


The company

The company, a leading Market Access Consultancy, are passionate about science and innovation in health technology, moreover they are interested in the real-world impact of such innovations. The company employs the best creative talent from the HEOR Space, brilliant consultants who are genuinely excited by what they do and the positive impact their work has. They thrive in engaging with clients, overcoming market access challenges, and contributing to patient access to innovative medicines, diagnostics, medical devices and healthcare delivery across a variety of disease areas.


The company knows that their success is down to the talented people they have working for them. To support their employees to reach their full potential they provided an excellent working environment, opportunities for career development, put a huge emphasis on a healthy work/life balance and of course offer an attractive renumeration package.


The Operational Research Team

Operational research (OR) is a systematic and scientific method for solving problems. The challenges faced in OR are often intricate and shrouded in uncertainty. As an Operational Researcher, you'll leverage cutting-edge analytics, modeling, problem structuring, simulation, optimization, and data science to uncover the best possible solutions.


The OR group is the organisations newest group and works on internal company and external client solutions. Collaborating with the company’s delivery teams, the OR group will explore how OR methodologies can enhance the quality, robustness, and timeliness of client deliverables. Additionally, they aim to develop innovative solutions to client challenges, creating resources that can be easily leveraged across projects. This approach ensures that the company’s technical teams can efficiently deliver high-quality results for all client initiatives.


Equipped with a deep understanding of cutting-edge design and analysis methods—both qualitative and quantitative—all members of the OR group will skillfully communicate complex concepts to their colleagues within the organisation.


Key responsibilities:

  • Translate project objectives into mathematical and/or analytic models, and effectively communicate proposed solutions internally and externally, and support in the proposal, implementation, delivery, documentation, and communication of complex solutions.
  • Collaborate with other teams to identify potential efficiency savings, and subsequently design and implement solutions to optimise workflow efficiency across the company.
  • Work with senior staff and subject matter experts to generalise client deliverables into stand-alone assets that can be re-used and further developed.
  • Collaborate with senior staff to develop analyses and provide technical leadership to support on-going thought leadership and marketing.
  • Liaise and collaborate with the Technology Working Group to provide technical expertise and ensure that technological advancements are aligned with company workflows and client needs.
  • Champion the creation of IP and ensure it is embedded across the organisation.
  • Develop best practice documentation and support senior staff to encourage uptake across the business.


Requirements

  • Essential
  • A MSc OR PhD in Data Science, Computer Science, Software Development OR Engineering.
  • Experience creating and maintaining R packages (or similar).
  • Experience with system design.
  • Strong understanding of documentation processes.
  • Experience using GitHub workflow (or other version control).
  • Experience of code optimisation and profiling.


Desirable

  • Experience using Python, MATLAB, C++, or other languages.
  • Experience of working with plumber APIs (or similar).
  • Experience of working with large databases.
  • Experience developing graphical user interfaces.
  • Experience with advanced data visualisation techniques.
  • Experience working with ML/AI.
  • Experience working in health or pharmaceutical industry.
  • • Experience working in a consulting environment.


Benefits

Competitive compensation and benefits package, including:

  • A ‘learning’ culture focused on personal development and supported by study bursaries
  • Workplace pension scheme
  • Private health insurance with AXA Health
  • Range of high street, supermarket, restaurant, gym membership, holiday and entertainment discounts via Sodexho
  • Cycle to work scheme
  • Employee assistance programme
  • Employees are given an additional day of leave for: their wedding and moving house
  • Annual leave purchase scheme of up to 10 additional days’ leave per year

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.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.