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Mathematician

Scientis Search Ltd
Cardiff
5 months ago
Applications closed

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Machine Learning Approaches in Bayesian and Ensemble Data Assimilation

Lead Data Scientist

An award-winning Market Access Consultancy, renowned for creativity and innovation, is looking for a mathematician to join their cutting-edge Operational Research Team as an Operational Researcher. This is an exceptional opportunity for an experienced mathematician, skilled at developing bespoke numerical / mathematical solutions, to join an incredible Operational Research team dedicated to developing beautiful solutions to complex real-world problems.


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 Mathematics, Operational Research, Physics OR Engineering.
  • Strong knowledge of R, Python, MATLAB, or C++
  • Strong mathematical literacy - comfortable with understanding complex systems of equations
  • Experience working with large, messy data
  • Experience of using mathematical optimisation.
  • Experience with numerical modelling and discretisation methods.


Desirable

  • Knowledge of R, or experience learning multiple programming languages.
  • Experience writing academic manuscripts.
  • Experience with Bayesian approaches.
  • Strong statistical knowledge.
  • Experience crafting compelling narratives from complex results for non-technical audiences.
  • Knowledge of time to event analysis.
  • Experience working in the 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
National AI Awards 2025

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