Principle Data Scientist

Location – Salisbury, Wiltshire (on-site with travel to client sites)
Salary – £40,500 – £51,000
Benefits – Exceptional Pension, Bonus, Learning & Development support, 25 days holiday, rising to 30, subsidised gym, discounts with retailers, rental deposit support, option to buy & sell holiday

The Client:
Curo are partnering with an organisation formed in 2001. Their talented scientists and technologists have built an enviable reputation for innovating world class science and technology. They are known for bringing together many people and a huge range of disciplines in science and technology. There is a wealth of variety in their projects, and they benefit from state of the art technology, in their well-equipped labs.

The Candidate:
This role would suit a naturally inquisitive candidate with the independent drive to research, experiment and understand enthusiasm and experience in applying statistical models, machine learning and data science techniques to complex problems. We ae looking for a collaborative leader, with a minimum of a degree in a Data Science related topic. A Masters or PhD is desirable. Experience in techniques such as Bayesian inference, mixed effects modelling, machine learning or bioinformatics are essential, as is R&D using R, Python, Java and other relevant languages. We are looking for experience in technical leadership, studies, or projects, as well as people management or a consulting background.

The Role:
This is an exciting opportunity to work on a dynamic range of projects developing and using novel techniques and undertaking ground-breaking research and experimentation at the forefront of science. This role sits in the Chemical, Biological and Radiological Division, which provides an integrated Chemistry, Biology, Radiation and Medical Sciences capability, delivering long term research, short term advice and consultancy, and an emergency response capability.

As a statistical data scientist you will have the opportunity to work and lead a range of statistically focused data science projects, helping to increase the use of machine learning, artificial intelligence, and data science capability across the division. You will support in the development of an in silico capability leveraging emerging Digital Twin technology, advances in modular multi-fidelity modelling and AI powered uncertainty quantification to support and provide advice for even the most complex problems. In addition you will be able to provide advice and carry out analysis for complex statistical research and help to develop tools for analysis, exploration and visualisation of CBR data. As a key member of the capability, you will set technical direction of work, mentoring and development of staff across the team and wider lab, providing information to customers and working with our academic and industry partners.

Essential Skills and Experience – Please note that you must be eligible for SC Clearance, and have resided in the UK for 5-10 years minimum.

• A degree in a relevant subject area, or commensurate experience.
• Experience in techniques such as Bayesian inference, mixed effects modelling, machine learning or bioinformatics.
• Data science research and development using R, Python, Java and/or other relevant languages.
• Experience in experimental design including computer experiments.
• Experience in visualisation and explanation of uncertainty.
• Interest in development and application of novel statistical applications.
• Experience in technical leadership in studies or projects, people management or consulting.

Desirable Skills and Experience:

• Master’s degree or PhD in a relevant area.
• Handling, curating, manipulating and analysing complex, high volume and high dimensionality data.
• Experience in data management and databases
• Knowledge in version control (i.e. Git)
• An active membership or fellowship of a relevant professional body is desirable.

To apply for this Principle Data Scientist job, please click the button below and submit your latest CV.

Job Reference: RL6642