Senior Data Scientist (4 roles available), Data Science Hub, Data & Analysis, Ministry of Justice (Ref: 82587)

We encourage applications from people from all backgrounds and aim to have a workforce that represents the wider society that we serve. We pride ourselves on being an employer of choice. We champion diversity, inclusion and wellbeing and aim to create a workplace where everyone feels valued and a sense of belonging. To find out more about how we do this visit: https://www.gov.uk/government/organisations/ministry-of-justice/about/equality-and-diversity.

Senior Data Scientist (4 roles available) – Data Science Hub

Data & Analysis, Ministry of Justice

SEO
 
The national salary range is £39,868 – £43,535, London salary range is £45,824 – £50,039. Your salary will be dependent on your base location. London: may include an allowance of up to £10,941 National: may include an allowance up to £12,470.

Overview

We have 4 permanent roles at Senior Data Scientist (Grade SEO), in our Data Science Hub within the MoJ Data & Analytical Services Directorate, subject to qualifying conditions being met.

We are recruiting data scientists across the following grades: Senior Data Scientist (SEO – campaign 82587) & Lead Data Scientist (Grade 7 – campaign 82629). Please see the ‘Key Responsibilities’ and ‘Who you are’ sections to see which grade to apply to and if you’re unsure you can submit an application to both grades.

The successful candidate will have the option to be based in London (10 South Colonnade and 102 Petty France) or Leeds (5 Wellington Place) or in satellite offices throughout the UK (for more details see appendix).

What we offer

Your salary will be at least £39,868 and up to £50,039, with an allowance up to £12,470 depending on your skills, expertise and location. You will also receive great benefits including:
•    26 days leave (plus bank holidays) plus 5 additional days of leave once you have reached 5 years of service
•    up to 5 days paid volunteering leave
•    a generous civil service pension, with employer contributions of 26-30% depending on your salary
•    flexible and home working
•    flexible office locations
•    time off in lieu if at any point you work more than your contracted hours
•    bike loans of up to £2500 through the cycle to work scheme and secure bike parking
•    quarterly reward and recognition scheme
•    wellbeing support, including access to the Headspace app
•    access to subsidised onsite gyms at some office locations
•    season ticket loans, childcare vouchers and eye-care vouchers

The Ministry of Justice

The Ministry of Justice is a major government department, at the heart of the justice system. We work to protect and advance the principles of justice. Our vision is to deliver a world-class justice system that works for everyone in society. We are passionate about improving justice outcomes through innovative research, data and analysis.

The Data Science Hub

We are a multi-disciplinary team of around 70 staff that sits at the heart of the Ministry of Justice providing data science support across a diverse and exciting agenda. We work in a dynamic and fast-paced context and our skills are in heavy demand across the Ministry of Justice. Our collaborations beyond government are seen as ground-breaking.

We create a culture in which people are empowered with the data and information to make excellent decisions using cutting edge tools, techniques and collaboration and putting evidence at the heart of the justice system.

We have a track record of delivering digital services to front line staff using wide ranging data science techniques, including the award-winning safety diagnostic tool, which helps our staff tackle violence in prisons. We regularly deliver insights that directly influences corporate, operational and policy decisions. Our projects span the data science spectrum including machine learning, natural language processing, automation, advanced visualisation and optimisation.

What you’ll do

You will work as part of multi-disciplinary teams to deliver data science products and analysis.

The majority of projects will be conducted using Python, R and SQL on our AWS cloud infrastructure (known as the Analytical Platform) to work with data from across the justice system. You will work closely with other data scientists, the Data Engineering Hub (which builds the tools, services and pipelines that make data available on the Analytical Platform) as well as other data, digital, policy and operational colleagues.

Key responsibilities

•    Work with other data scientists on shared codebases, and coach junior data scientists, to deliver data science products and analysis across the criminal justice system (e.g. within prisons, for the Probation Service)
•    Implement best practice approaches in project delivery, such as version control and code review
•    Effectively communicate with and influence a variety of stakeholders
•    Help the team keep up to date with the wider data science landscape and emerging technologies
•    Contribute to making the Data Science Hub an inclusive and vibrant place to work

Who you are

We’re interested in people who have:
•    Experience of applying analytical or data science techniques (e.g. machine learning, natural language processing, data visualisation and/or statistical modelling), ideally in cloud computing environments
•    Experience in writing clear and concise code in at least one of Python, R and SQL
•    Experience using quality assurance in analytical work, including producing robust and reproducible analysis using modern version control software
•    Ability to identify opportunities for data science to support organisational objectives
•    Ability to effectively communicate with and influence diverse stakeholders.

How to apply

You’ll need to submit an anonymised CV and Statement of Suitability as part of your application. You will not be considered if you do not provide both.
 
Your CV should be no more than 2 pages long and should show us your work history and previous experience. It should be well structured, succinct and written in clear language. Try to avoid just listing technology keywords; we are interested in how you have used different tools to solve problems.

Your Statement of Suitability should be no more than 750 words and should give us examples of how your skills and experience match those needed for this role. Consider giving an example for each bullet point in the skills requirements ‘Who you are’ section and use work you have completed to demonstrate how you meet each one.

All these requirements are important for the job, however we do not expect candidates to be expert in all of them. Just give as much evidence as you can for each and make sure you cover ‘how’ you demonstrated the requirements and the impact of your work, as well as ‘what’ you did. Again, if you are interested in applying but are not sure you have all the skills listed, please do apply and give us the opportunity to consider you as a candidate.

Selection process

There will be an initial sift of applicants through comparing submitted evidence against the ‘Who you are’ bullets. This usually takes two weeks, depending on the number of applications.

Applicants invited for interview

Those who make it through the initial sift will be invited to a Civil Service Success Profile interview. In the Civil Service we use Success Profiles to help us find the right person for the job. We will be using a mixture of methods to assess your experience, technical skills and behaviours. We highly recommend learning about Success Profiles and using the Situation, Task, Action, Result and Reflection (STARR) framework when structuring your answers.

The highest scoring candidates that pass the interview will be offered the roles. The whole process can take a month. Other candidates that pass the interview will be kept on a merit list for 12 months.

Presentation

At the interview we will be asked to give a five-minute presentation on an analytical or data science project you have delivered. Details of this will be sent to candidates before the interview.

Case Study

At the interview we will ask a Data Science case study question. No prior preparation is required.

The case study will test the following behaviours:
•    Communicating and Influencing – tell us how you work with colleagues to understand their needs and facilitate collaboration
•    Changing & improving – tell us when and how you have driven a change in your workplace culture or practices.
•    Managing a quality service – tell us when and how you have worked with colleagues to set priorities, objectives and timescales under challenging circumstances.

In your example you should include evidence on ‘how’ you demonstrated the requirements and the impact of your work, as well as ‘what’ you did.

Technical – Data science skills

We’ll assess you against these technical skills during the selection process:
•    data science expertise
•    working practices
•    programming and coding skills.

Technical – Analytical Competency

As well as the three civil service behaviours and Data Science skills stated above, you will be assessed on your analytical knowledge, experience and abilities, and the impact of your analytical work.

Further Information and Appendix

We welcome applications from candidates based across the UK. Candidates will have the option of being based in the Leeds or London HQ offices (with flexible working arrangements available) or your nearest Justice Collaboration Centre or Justice Satellite Office. These are in Liverpool, Leeds, South Tyneside, Manchester, Bristol, Nottingham, Cardiff, and Brighton, Stafford, Ipswich, Wolverhampton, Sheffield. Alternative locations may be available and will be discussed and agreed on the completion of background checks.

Interviews are likely to take place in early February 2024 and will be held via MS Teams. We will keep a merit list for a year for those who successfully pass the interview board but who are not offered a post.  If you require any additional information about the role, please contact: Data & Analysis Recruitment Team: DataAndAnalysis.Recruitment@justice.gov.uk

Appendix

Examples of MoJ Data Science Hub work and ways of working:

•    https://www.gov.uk/government/publications/joined-up-data-in-government-the-future-of-data-linking-methods/splink-mojs-open-source-library-for-probabilistic-record-linkage-at-scale
•    https://mojdigital.blog.gov.uk/2018/04/05/pushing-the-boundaries-of-data-science-with-the-moj-analytical-platform/
•    https://www.tandfonline.com/doi/full/10.1080/2058802X.2020.1726654
•    https://towardsdatascience.com/fuzzy-matching-and-deduplicating-hundreds-of-millions-of-records-using-apache-spark-93d0f095001f
•    https://dataingovernment.blog.gov.uk/2019/11/06/fostering-a-data-science-innovation-culture/
•    https://dataingovernment.blog.gov.uk/2019/10/30/engineering-the-data-of-the-future/
•    https://github.com/moj-analytical-services
•    https://criminal-justice-delivery-data-dashboards.justice.gov.uk/

We’ll assess you against these behaviours during the selection process:

• Communicating and Influencing
• Changing and Improving
• Managing a Quality Service

We’ll assess you against these technical skills during the selection process:

• Technical – Data science project

  At the interview we will be asked to give a five-minute presentation on a data science project you have delivered.

• Technical – Data science skills

  We’ll assess you against these technical skills during the selection process:
  • data science expertise
  • working practices
  • programming and coding skills.

• Technical – Analytical Competency

  As well as the three civil service behaviours and Data Science skills stated above, you will be assessed on your analytical knowledge, experience and abilities, and the impact of your analytical work.

• Access to learning and development
• A working environment that supports a range of flexible working options to enhance your work life balance
• A working culture which encourages inclusion and diversity
• A Civil Service pension with an average employer contribution of 27%
• Annual Leave
• Public Holidays
• Season Ticket Advance

For more information about the recruitment process, benefits and allowances and answers to general queries, please click the below link which will direct you to our Candidate Information Page.

Link: https://justicejobs.tal.net/vx/candidate/cms/About%20the%20MOJ

Job contact :

• Name : SSCL Recruitment Enquiries Team
• Email : Moj-recruitment-vetting-enquiries@gov.sscl.com
• Telephone : 0845 241 5359

Recruitment team

• Email : Moj-recruitment-vetting-enquiries@gov.sscl.com