Dover Precision ComponentsQueensferry
Energy Resources industry, have pioneered technology developments and are renowned for the quality and reliability of their product range which includes reciprocating compressor valves, packing cases, pistons, rings, and wipers, supplying to both OEM's and the aftermarket.With established manufactur...
DPDMotherwell
Starting your own business as an Owner Driver with DPD has never been easier.With our Owner Driver Franchise scheme, you can run your own business and share in the growing success of DPD.We give you all you need to get started.From your own van, the best tech in the business and all the training to ...
Okta ResourcingEdinburgh, 23 mi from Falkirk
This is a new position for a talented Data Scientist with a global, data-driven company with cutting-edge technology who leverage data to serve as a true market differentiator. The focus of this role is to deliver data science solutions which impact...
Okta ResourcingEdinburgh, 23 mi from Falkirk
This is a new position for a Senior Data Scientist with a global, data-driven company with cutting-edge technology who leverage data to serve as a true market differentiator.
The focus of this role is to deliver data science solutions which impact...
Okta ResourcingEdinburgh, 23 mi from Falkirk
This is a new position for a talented Data Scientist with a global, data-driven company with cutting-edge technology who leverage data to serve as a true market differentiator. The focus of this role is to deliver data science solutions which...
Okta ResourcingEdinburgh, 23 mi from Falkirk
This is a new position for a talented Data Scientist with a global, data-driven company with cutting-edge technology who leverage data to serve as a true market differentiator. The focus of this role is to deliver data science solutions which...
HarnhamGlasgow, 20 mi from Falkirk
SENIOR BEHAVIOURAL DATA SCIENTIST - Remote (Every few months ideal in London) £65,000-£90,000 + 10% bonus and BENEFITS THE COMPANY This is a brilliant opportunity to work as a Data Scientist for an innovative and well-established Health Tech scale...
Opus Recruitment SolutionsGlasgow, 20 mi from Falkirk
Senior Data Scientist (German speaking) - UK Remote - Permanent Python (Pandas, Num Py), SQL, Machine Learning, Battery Storage, Renewables ***Please note this role does not offer sponsorship, and you must be based in the UK to apply*** I'm...
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10006 - Data Scientist
University of Edinburgh | Edinburgh | findajob.dwp.gov.uk |
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.
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.