UE07 £37,099 to £44,263 per annum (A revised salary range for this grade of £39,347 to £46,974 is planned to take effect from Spring 2024)
School of Informatics
Contract Type - 36 Months - with the possibility of extension
Full Time - 35 Hours Per Week
Applications are invited for a Data Scientist in the Data Science Unit in the School of Informatics, University of Edinburgh, with a focus on Data Science for Science, Health, People and Environment.
The Opportunity
You will work with the Lead Data Scientist and other Data Scientists and researchers at the Unit in raising awareness of data science methods and practices within the University, influencing academic and researcher colleagues to engage with advanced data science tools in their research, applying cutting-edge data science tools to solve real-world problems for social good, and developing and delivering novel and innovative computational solutions to practical problems in the wider context of, but not limited to, science, health, people and environment.
You will be working on multiple interdisciplinary projects on a variety of datasets with collaborators from other disciplines, developing innovative ways to foster interdisciplinarity, and will play a key role in establishing collaboration and engagement between School of Informatics and the other schools. You will facilitate and support the uptake of state-of- the-art data science methods to make a significant contribution to advancing research at the University and at all three colleges, i.e., College of Science and Engineering, College of Arts, Humanities and Social Sciences, and College of Medicine and Veterinary Medicine. You will develop novel statistical machine learning tools in collaboration with domain experts to facilitate more principled, robust and unbiased use of data in deriving knowledge, and disseminate these outcomes to the broader research community.
This full-time position (35 hours per week), is fixed term for 36 months in the first instance, with the possibility of extension.
Your Skills And Attributes For Success
- Masters degree in a quantitative subject (e.g. Artificial Intelligence, Statistics).
- Significant experience (typically a minimum of 3 years) in a role involving data science.
- Expertise in managing, structuring, and analysing various kinds of data.
- Expertise in developing, implementing, and deploying statistical methods and machine learning models.
- Expertise in one or more statistical languages (R, Python) with experience in writing documentation.
- Excellent verbal communication skills including the ability to present technical information to non-technical audience, and engaging stakeholders.
- Excellent written communication skill including writing structured technical reports and/or scientific publications.
- Experience of working on multiple projects simultaneously and managing workload and deliverables.
- Willingness to continue to learn new techniques, and openness to address new problem presented by domain experts
As a valued member of our team you can expect:
- A competitive salary of £37,099 - £44,263
- An exciting, positive, creative, challenging and rewarding place to work.
- To be part of a diverse and vibrant international community
- Comprehensive Staff Benefits, such as a generous holiday entitlement, a defined benefits pension scheme, staff discounts, family-friendly initiatives, and flexible work options. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the total value of your pay and benefits
Championing equality, diversity and inclusion
The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality.
Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages (opens new browser tab)
The University is able to sponsor the employment of international workers in this role. If successful, an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Office’s English Language requirements and apply for and secure a Skilled Worker Visa.
Key dates to note
The Closing Date for this Application is 20 May 2024
Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone.
About Us
As a world-leading research-intensive University, we are here to address tomorrow’s greatest challenges. Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally.
Organization
Informatics is the study of how natural and artificial systems store, process and communicate information. Research in Informatics promises to take information technology to a new level, and to place information at the heart of 21st century science, technology and society. The School enjoys collaborations across many disciplines in the University, spanning all three College, and also participates as a strategic partner in the Alan Turing Institute and, with Heriot-Watt University, in the Edinburgh Centre for Robotics.
The School provides a fertile environment for a wide range of studies focused on understanding computation in both artificial and natural systems. It attracts students around the world to study in our undergraduate and postgraduate programmes, and currently has approximately 1000 undergraduate students, 320 MSc students and 350 PhD students. Informatics is one of seven schools in the College of Science and Engineering, at the University of Edinburgh. It is recognised for the employability of its graduates (demand exceeds supply), its contributions to entrepreneurship, and the excellence of its research. Since the first Research Assessment Exercise in 1986, Informatics at Edinburgh has consistently been assessed to have more internationally excellent and world-class research than any other submission in Computer Science and Informatics. The latest REF 2014 results have again confirmed that ours is the largest concentration of internationally excellent research in the UK. This contributes to our ranking in the top 15 CS departments world-wide according to the latest Times Higher Education ranking.
We aim to ensure that our culture and systems support flexible and family-friendly working and recognise and value diversity across all our staff and students. The School has an active programme offering support and professional development for all staff; providing mentoring, training, and networking opportunities.
