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Data Scientist jobs in Lacock
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- NHS Bristol, North Somerset and South...Bristol BS1
- We use a wide variety of techniques within the operational research, mathematical modelling, statistical analysis, data science and machine learning toolkits,…
- Government Digital ServiceBristol
- Programming and build (data science).
- Strengthening and extending our digital and data public infrastructure.
- Good judgement on responsible use of data and AI,…
- View all Government Digital Service jobs - Bristol jobs
- Salary Search: Senior Data Scientist salaries in Bristol
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- Peak TechnologiesChippenham
- Ensure the accuracy, reliability and integrity of reporting data.
- Maintain documentation for reporting processes, data sources and dashboard development.
- View all Peak Technologies jobs - Chippenham jobs
- Salary Search: Business Intelligence Analyst salaries in Chippenham
- NHS Bristol, North Somerset and South...Bristol BS1
- The SDE provides an environment to link patient-level data from various health and care settings for up to 6 million individuals within the South West region.
View similar jobs with this employerAvivaBath- Employee discount
- Paid volunteer time
- Data Engineering (Bristol, Norwich)* - you'll build the foundations that help Aviva make better use of data.
- Data Science & Advanced Analytics (Bristol, Norwich…
- Nationwide Building SocietySwindon SN38
- You are comfortable working with data‑heavy test scenarios.
- Technical skills covering data analysis / validation and automation / scripting.
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- Lloyds Banking GroupBristol
- Building data products people actually use.
- You’ll live and breathe data.
- SQL and advanced data joins (yes, the fun kind).
- By the end, you won’t just know data.
- Understanding of how to apply data and data science techniques for data analysis.
- This will involve working with key stakeholders to identify opportunities and…
- Nationwide Building SocietySwindon SN38
- Experience using data or analytics to explore problems and identify insights.
- Curiosity about workforce challenges and how data can help organisations make…
- Nationwide Building SocietySwindon SN38
- Experience using data or analytics to explore problems and identify insights.
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- National TrustSwindon SN2 2NA
- Experience working with geospatial data and GIS platforms, ideally ArcGIS Pro and ArcGIS Online.
- Ability to automate workflows, manipulate and transform data,…
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Data Engineer
Often replies in 1 daySomerset Bridge GroupBristol BS10 7TQ- Referral programme
- Annual leave
- Company pension
- Car scheme
- Cycle to work scheme
- Implement data security and governance frameworks, including access controls, data lineage and sensitive data protection.
- 100’s of exclusive retailer discounts.
View similar jobs with this employerUniversity of BathBath BA2- Annual leave
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- Discounted gym membership
- The University of Bath invites applications for a full Professor in Artificial Intelligence.
- You will be part of the AI & Machine Learning group within the…
Data Engineer
NewOften replies in 1 dayEcotricityStroud GL5 3BY- Employee discount
- Sick pay
- Bereavement leave
- Life insurance
- Free parking
- Store discount
- Handling data in any format, data modelling and ETL processes will all come naturally to you.
- Be responsible for data quality and ensuring problems are resolved…
- AvivaBristol
- Employee discount
- Paid volunteer time
- Working with engineers, data scientists and business teams, you'll develop, test and improve AI-powered solutions that solve real business challenges.
- CatalystBristol BS1
- Data Pipeline Development: Design and develop sophisticated data pipelines to import data from external vendors, sell-side partners, and other providers…
Job Post Details
Data Scientist
NHS Bristol, North Somerset and South Gloucestershire Integrated Care Board
Bristol BS1
£49,387 - £56,515 a year
-
Full-time
Data Scientist
NHS Bristol, North Somerset and South Gloucestershire Integrated Care Board
•
Bristol BS1
•
£49,387 - £56,515 a year
Job details
£49,387 - £56,515 a year
Full-time
Bristol BS1
Full job description
An exciting opportunity has arisen to join the NHS as a Data Scientist based in Bristol.
The ICB’s Data Science team was one of the earliest teams set up within the NHS to employ specialist quantitative skills to some of the biggest healthcare problems of the day.
We use a wide variety of techniques within the operational research, mathematical modelling, statistical analysis, data science and machine learning toolkits, often working at the interface of academic research and practical application.
No problem is too big or too small, and we endeavour to apply the most appropriate solution to the problem, whatever that may be. Therefore expect a varied workload and the opportunity to learn and apply new skills. Also expect an opportunity to collaborate with universities, run externally-funded projects, and write research papers.
Flexible working options are available, subject to a required minimum 50% working in the central Bristol office. Occasional travel may be expected.
Applicants need not have experience in managing others, and experience within the NHS or wider health field is not required. Of most importance is a good grasp of applied modelling approaches underpinned by degree-level qualification(s) in a quantitative discipline.
Experience of coding in statistical languages, especially in ‘R’, is strongly desirable. The role-holder should have an open and inquisitive mind and be prepared to think innovatively and creatively.
We are committed to creating an inclusive organisation that promotes and values diversity. We know from experience that different ideas, perspectives and backgrounds create a stronger, more creative workplace that helps us to deliver the best services. We welcome applications which represent the rich diversity of our community; from people of all ages, disabled people, all genders, people from ethnic minority groups, LGBTQ+ people, people with diverse gender identity and expression, people from all religions and beliefs and other diverse characteristics, and we have processes in place to ensure that all applications are treated fairly and consistently at every stage of the recruitment process.
Production and deployment of advanced statistical, analytical, and models-based solutions for defined workstreams that support system priorities.
Work under direction to support colleagues where specialist modelling and analytical input is required.
Advise on innovative opportunities and support strategic commissioning leads to maximise the use of quantitative techniques and approaches.
Communicate complex information and analysis, concisely conveying results and insights from sophisticated quantitative methods to a wide range of non-technical internal and external stakeholders.
Participate in external networks, including national and regional Population Health Management groups and learned societies such as the Operational Research Society, to share best practice and keep up to date with the latest approaches.
Contribute to growth and seasonality components in the setting of activity plans between the ICB and acute providers as part of the annual planning cycle, and in support of ad hoc modelling requirements in relation to acute or other provider contracts throughout the year.
Support the training and development in quantitative approaches and visualisation methods within the Data and Analytics team.
The ICB’s Data Science team was one of the earliest teams set up within the NHS to employ specialist quantitative skills to some of the biggest healthcare problems of the day.
We use a wide variety of techniques within the operational research, mathematical modelling, statistical analysis, data science and machine learning toolkits, often working at the interface of academic research and practical application.
No problem is too big or too small, and we endeavour to apply the most appropriate solution to the problem, whatever that may be. Therefore expect a varied workload and the opportunity to learn and apply new skills. Also expect an opportunity to collaborate with universities, run externally-funded projects, and write research papers.
Flexible working options are available, subject to a required minimum 50% working in the central Bristol office. Occasional travel may be expected.
Applicants need not have experience in managing others, and experience within the NHS or wider health field is not required. Of most importance is a good grasp of applied modelling approaches underpinned by degree-level qualification(s) in a quantitative discipline.
Experience of coding in statistical languages, especially in ‘R’, is strongly desirable. The role-holder should have an open and inquisitive mind and be prepared to think innovatively and creatively.
We are committed to creating an inclusive organisation that promotes and values diversity. We know from experience that different ideas, perspectives and backgrounds create a stronger, more creative workplace that helps us to deliver the best services. We welcome applications which represent the rich diversity of our community; from people of all ages, disabled people, all genders, people from ethnic minority groups, LGBTQ+ people, people with diverse gender identity and expression, people from all religions and beliefs and other diverse characteristics, and we have processes in place to ensure that all applications are treated fairly and consistently at every stage of the recruitment process.
Production and deployment of advanced statistical, analytical, and models-based solutions for defined workstreams that support system priorities.
Work under direction to support colleagues where specialist modelling and analytical input is required.
Advise on innovative opportunities and support strategic commissioning leads to maximise the use of quantitative techniques and approaches.
Communicate complex information and analysis, concisely conveying results and insights from sophisticated quantitative methods to a wide range of non-technical internal and external stakeholders.
Participate in external networks, including national and regional Population Health Management groups and learned societies such as the Operational Research Society, to share best practice and keep up to date with the latest approaches.
Contribute to growth and seasonality components in the setting of activity plans between the ICB and acute providers as part of the annual planning cycle, and in support of ad hoc modelling requirements in relation to acute or other provider contracts throughout the year.
Support the training and development in quantitative approaches and visualisation methods within the Data and Analytics team.
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