Higher Data Scientist - ( Ref : 6301 )
Natural EnglandUnited Kingdom5 days ago
Full-timeEngineering, Information Technology
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East Midlands (England), East of England, London (region), North East England, North West England, South East England, South West England, West Midlands (England), Yorkshire and the Humber
Job Summary
This position is based Nationally
Job Description
Data Science Services (DSS) is part of the Analysis Directorate. We are a large, national team and have broad skills including data science, analysis and statistics. We are passionate about quality technical delivery and continuous improvement, using novel data science approaches to help everyone understand nature recovery. We are looking for a Higher Data Scientist who can lead data analyses and implement improvements across a range of projects, playing a key role in applying advanced analytical and machine learning techniques to complex problems. In addition, the post holder will be contributing to the development and improvement of data science across the team.
This is an exciting opportunity for someone with a passion for delivering quality data science outputs and seeking new personal development challenges.
Job Description
Key Tasks/Principal Accountabilities
We welcome and encourage applications from all communities. Natural England is accredited to the Disability Confident Scheme, which denotes organisations which have a positive attitude towards disabled people. Disabled applicants who meet the minimum requirements for the role at the shortlisting stage are guaranteed an invitation to interview.
If you require a reasonable adjustment at interview, or there is anything else you would like the panel to take into consideration, you should notify us of this at application stage where possible, or well in advance of your interview.
This vacancy uses competency-based assessment. We'll assess you against the competencies below during the selection process:
Please note that STAR format is not required when answering the Technical Skills & Knowledge competency. Examples should be given in no more than 250 words for each competency.
Competencies
Competence 1
Professional competency
Detail
Technical Skills and Knowledge
Description
Professional competency
Detail
Personal effectiveness
Description
Professional competency
Detail
Creating resilient landscapes and seas
Description
Professional competency
Detail
Work delivery
Description
Tom Pullen
[email protected]
07717455559
Rebecca Jackson-Pitt
[email protected]
07795 126337
Data Science Services (DSS) is part of the Analysis Directorate. We are a large, national team and have broad skills including data science, analysis and statistics. We are passionate about quality technical delivery and continuous improvement, using novel data science approaches to help everyone understand nature recovery. We are looking for a Higher Data Scientist who can lead data analyses and implement improvements across a range of projects, playing a key role in applying advanced analytical and machine learning techniques to complex problems. In addition, the post holder will be contributing to the development and improvement of data science across the team.
This is an exciting opportunity for someone with a passion for delivering quality data science outputs and seeking new personal development challenges.
Description
Tom Pullen
[email protected]
07717455559
Rebecca Jackson-Pitt
[email protected]
07795 126337
Person specification
Please Refer To Job Description
Alongside your salary of £30,850, Natural England contributes £8,937 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides.
Please Refer To Job Description
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check.
People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Successful candidates must undergo a criminal record check.
People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
This Job Is Broadly Open To The Following Groups:
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants.
We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window).
The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants.
We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window).
The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.
Diversity and Inclusion
The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window).
The Civil Service welcomes applications from people who have recently left prison or have an unspent conviction. Read more about prison leaver recruitment (opens in new window).
Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job Contact :
https://networkrecruitment.tal.net/vx/appcentre-7/brand-4/spa-1/candidate/so/pm/1/pl/8/opp/6301-6301-Higher-Data-Scientist/en-GB
Job Summary
This position is based Nationally
Job Description
Data Science Services (DSS) is part of the Analysis Directorate. We are a large, national team and have broad skills including data science, analysis and statistics. We are passionate about quality technical delivery and continuous improvement, using novel data science approaches to help everyone understand nature recovery. We are looking for a Higher Data Scientist who can lead data analyses and implement improvements across a range of projects, playing a key role in applying advanced analytical and machine learning techniques to complex problems. In addition, the post holder will be contributing to the development and improvement of data science across the team.
This is an exciting opportunity for someone with a passion for delivering quality data science outputs and seeking new personal development challenges.
Job Description
Key Tasks/Principal Accountabilities
- Lead the end-to-end delivery of analytical, modelling and data science improvement projects.
- Coordinate / undertake project planning and reporting so that projects are delivered efficiently, and progress, risks and issues are monitored
- Ensure project data standards, processes and systems are followed to ensure outputs are high-quality and robust (including through good documentation and automation) so that customer decisions and advice can be based on sound evidence and outputs can be reproduced.
- Engage with customers and partners to scope work and communicate progress.
- Build capability in others in the team (and sometimes across NE as appropriate) to enable effective delivery and support resilience to absence and change.
- Engage with customers and partners to identify and exploit opportunities for new or revised projects (inc. use of new technologies), or for developing projects to improve the evidence base, improve efficiency, build capability or generate funding.
We welcome and encourage applications from all communities. Natural England is accredited to the Disability Confident Scheme, which denotes organisations which have a positive attitude towards disabled people. Disabled applicants who meet the minimum requirements for the role at the shortlisting stage are guaranteed an invitation to interview.
If you require a reasonable adjustment at interview, or there is anything else you would like the panel to take into consideration, you should notify us of this at application stage where possible, or well in advance of your interview.
This vacancy uses competency-based assessment. We'll assess you against the competencies below during the selection process:
- Technical Skills and Knowledge
- Personal effectiveness
- Creating resilient landscapes and seas
- Work delivery
Please note that STAR format is not required when answering the Technical Skills & Knowledge competency. Examples should be given in no more than 250 words for each competency.
Competencies
Competence 1
Professional competency
Detail
Technical Skills and Knowledge
Description
- Understanding of good practice, ethics, and quality assurance (verification, validation, analytical review) for data analysis
- Good working knowledge of R and/or Python computer programming language for data science.
- Experience of data analysis, statistics and modelling techniques which could include exploratory data analysis, statistical theory, data visualisation and data science techniques.
- Competent in Git and GitHub for version control, collaborative development, and maintaining reproducible and well-documented code.
Professional competency
Detail
Personal effectiveness
Description
- Apply new technology to improve the way we deliver our work (Practitioner)
- Use clear and appropriate language, communication styles and techniques that engage your audience (Basic)
Professional competency
Detail
Creating resilient landscapes and seas
Description
- Recognise environmental features and designations within their environmental context (This includes understanding terminology and context when working with data and information) (Basic)
- Use and contribute to the evidence base on environmental and landscape change to support resilient landscapes and seascapes (Practitioner)
Professional competency
Detail
Work delivery
Description
- Manage and deliver your work to meet agreed targets and deadlines (Practitioner)
- Handle data responsibly, understand your role in good governance, and comply with delegations, policies and procedures (Practitioner).
Tom Pullen
[email protected]
07717455559
Rebecca Jackson-Pitt
[email protected]
07795 126337
Data Science Services (DSS) is part of the Analysis Directorate. We are a large, national team and have broad skills including data science, analysis and statistics. We are passionate about quality technical delivery and continuous improvement, using novel data science approaches to help everyone understand nature recovery. We are looking for a Higher Data Scientist who can lead data analyses and implement improvements across a range of projects, playing a key role in applying advanced analytical and machine learning techniques to complex problems. In addition, the post holder will be contributing to the development and improvement of data science across the team.
This is an exciting opportunity for someone with a passion for delivering quality data science outputs and seeking new personal development challenges.
Description
- Manage and deliver your work to meet agreed targets and deadlines (Practitioner)
- Handle data responsibly, understand your role in good governance, and comply with delegations, policies and procedures (Practitioner).
Tom Pullen
[email protected]
07717455559
Rebecca Jackson-Pitt
[email protected]
07795 126337
Person specification
Please Refer To Job Description
Alongside your salary of £30,850, Natural England contributes £8,937 towards you being a member of the Civil Service Defined Benefit Pension scheme. Find out what benefits a Civil Service Pension provides.
- Learning and development tailored to your role
- An environment with flexible working options
- A culture encouraging inclusion and diversity
- A Civil Service pension with an employer contribution of 28.97%
Please Refer To Job Description
Feedback will only be provided if you attend an interview or assessment.
Security
Successful candidates must undergo a criminal record check.
People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Successful candidates must undergo a criminal record check.
People working with government assets must complete baseline personnel security standard (opens in new window) checks.
Nationality requirements
This Job Is Broadly Open To The Following Groups:
- UK nationals
- nationals of the Republic of Ireland
- nationals of Commonwealth countries who have the right to work in the UK
- nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre-settled status under the European Union Settlement Scheme (EUSS) (opens in a new window)
- nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre-settled status under the European Union Settlement Scheme (EUSS)
- individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
- Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service
Working for the Civil Service
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants.
We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window).
The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.
The Civil Service Code (opens in a new window) sets out the standards of behaviour expected of civil servants.
We recruit by merit on the basis of fair and open competition, as outlined in the Civil Service Commission's recruitment principles (opens in a new window).
The Civil Service embraces diversity and promotes equal opportunities. As such, we run a Disability Confident Scheme (DCS) for candidates with disabilities who meet the minimum selection criteria.
Diversity and Inclusion
The Civil Service is committed to attract, retain and invest in talent wherever it is found. To learn more please see the Civil Service People Plan (opens in a new window) and the Civil Service Diversity and Inclusion Strategy (opens in a new window).
The Civil Service welcomes applications from people who have recently left prison or have an unspent conviction. Read more about prison leaver recruitment (opens in new window).
Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Contact point for applicants
Job Contact :
- Name : Tom Pullen
- Email : [email protected]
- Telephone : 07717455559
- Email : [email protected]
https://networkrecruitment.tal.net/vx/appcentre-7/brand-4/spa-1/candidate/so/pm/1/pl/8/opp/6301-6301-Higher-Data-Scientist/en-GB
Key Skills
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