LocationDarlington, Fareham, NewportAbout the jobSummaryAbout the Data Science Campus:
The Campus is a purpose-built centre of excellence for data science. We are a core part of the UK’s public sector data science landscape and play a leading role in developing the UK’s capability and international reputation in data science.
Our mission is to work at the frontier of data science for the public good. We use the latest generation of data science tools and technologies to exploit the growing availability of new data sources and we apply innovative methods to the measurement and analysis of the economy, the environment, and society. We create new understanding and improve decision-making.
We deliver a wide range of data science projects across the public sector. We lead international collaborations. We work with academia and industry experts. We champion openness by publishing reports, research papers, and open-source code related to our projects. We abide by the highest standards of data ethics. We have teams of data scientists working on topics that really matter for the UK, such as population mobility, COVID-19, net zero, insights about the economy, EU exit, synthetic data for better data access, and levelling up.
To find out more about the Data Science Campus and our projects, please visit our DSC link Data Science Campus or follow us on Twitter
At the Office for National Statistics (ONS) we are creative about the way we work to deliver brilliant and sustainable outcomes and as we collaborate, we approach working together with positivity and trust, investing in building excellent and inclusive working relationships across the organisation.
We operate a Hybrid working model. This means we offer greater flexibility about where and when we work. Our colleagues are linked to one of our core locations – Newport, London, Titchfield, Edinburgh (OSR) or Darlington where presence at one of these sites will form part of the working arrangements agreed during any offer made.
The office locations available for this role are set out at the top of this advert.Job descriptionAs a Senior data scientist at the Campus, you will have a passion for using data science for the public good. You will enjoy the challenge of working on innovative ideas and on taking some of those ideas from research to viable, sustainable products that improve the UK public sector.
You will lead or co-lead a multi-disciplinary data science team in research and exploration and in the delivery and deployment of products. You will collaborate with others in the public sector, industry, academia, and charities. You will also contribute to building capability in data science through research, mentoring and training.
Senior Data Scientists (appointed at Civil Service Grade 7) are experienced data scientists and analysts. They are a recognised authority on a number of data science techniques, with some knowledge of cutting-edge methods. They may work on projects with high political exposure, value, or complexity. They engage with senior stakeholders and champion the value of data science. They line manage more junior colleagues. They communicate the value of data science to senior stakeholders. They identify and deliver value through the application of data science.
ResponsibilitiesThis post will be based in the Campus’ Economic Insights team, which uses new data and methods to improve our understanding about the economy. For example, the team are currently involved in projects providing more timely insights on economic activity and extending the information available on supply chains and businesses.
Although the job is advertised for a specific team, we encourage applications from those interested in working in other areas of the Campus or wider ONS. A reserve list of applicants will be held for up to 12 months and may be used to fill vacancies that arise in other teams.
You will typically be expected to line manage other staff in these posts.
As a Senior Data Scientist in economic insights team in the Campus, you will:
• lead or co-lead a cross-disciplinary team to deliver innovative data science projects, from coming up with ideas, to scoping projects, to the delivery of projects;
• use new data sources, cutting-edge analytical tools and techniques, coding skills, research skills, and mathematical and statistical skills to deliver innovative data science for the public sector;
• improve statistics on the UK economy using new data and methods from data science, for example improving information of the interactions between different industries or providing more timely data on economic activity;
• conduct research and analysis on the UK economy using, for example, time series techniques, network science, data linkage methods, big data and causal inference;
• develop software tools, data infrastructure, and data products that exploit state of the art research to place technology in the hands of the operational users;
• employ Agile project delivery methods and ensure work delivers value by understanding and addressing user needs;
• engage in activities to support the data science community through, for example, presentations, workshops, and mentoring—including acting as an ambassador for the Campus and the UK public sector data science community;
• write and publish code to high quality standards;
• write technical reports, working papers, and journal articles;
• develop and embed processes in the team to ensure data and code is handled securely;
• collaborate with industry, academia, charities, government departments, other public sector bodies, and international partners;
• identify and engage with stakeholders confidently, using a high level of interpersonal and written communication skills;
• communicate effectively to both technical and non-technical audiences at all levels.
Essential skills criteria and experience:
In your CV and personal statement, please ensure that you provide as much evidence as you can of your skills and experience for every one of the following:
• ability to undertake the tasks listed in the job description and role specification;
• experience of leading teams;
• a track record of delivering complex data science projects on time to meet user needs, and overcoming any challenges;
• a demonstrable commitment to developing your knowledge and expertise, as well as that of others;
• significant technical data science knowledge and experience of coding in Python and/or R.
Desirable skills criteria:
Data science requires a rapidly evolving and growing skill set and no one is expected to have all of the desirable skills listed below. However, you should be able to give evidence that demonstrates significant expertise in at least one desirable skill from the list. Assessments will be based on the breadth and depth of your experience:
• data analytics – such as machine learning, supervised and un-supervised learning, natural language processing, geospatial analysis, network analysis, econometrics and regression, and causal inference;
• data management/curation – such as the manipulation and analysis of complex, high volume and high dimensionality data, distributed processing, relational and non-relational databases, cloud storage and data management, interoperability and standardisation for data, data linkage methodologies, metadata management;
• data engineering – such as the design of algorithms, implementation of big data solutions, multi-core/distributed processing, SQL and noSQL database systems, statistical analysis languages and tooling;
• story-telling and data visualisation – including the visualisation of insights drawn from data and the building of data driven products;
• scientific research methods – analytical, critical, and curious analysis of data or modelling, ability to master the scientific literature, a track record of high-quality publications;
• software engineering – software installation and distribution, algorithm and implementation optimisation, design and/or implementation of user interfaces, and the software lifecycle;
• domain knowledge – ideally have some knowledge of economics and/or economic data, though this is not essential;
• a portfolio of open source projects and contributions on GitHub (or similar).
There are no formal qualification requirements.
We encourage applications from people without formal qualifications, but with equivalent working experience.
We also welcome applicants with a degree, or equivalent, that includes components related to data science, computer science, or software engineering. This might include, but is not limited to, the following subjects: mathematics, statistics, computer science, data science, geospatial science, physics, economics, econometrics, chemistry, biology, and ecology.
Additionally, we welcome applicants with higher degrees (for example, MSc or PhD) in related subjects.Behaviours
We'll assess you against these behaviours during the selection process:
- Communicating and Influencing
- Developing Self and Others
- Delivering at Pace
We'll assess you against these technical skills during the selection process:
- A combination of technical questions and tests may be used at interview stage aligned to the person specification of the role. DDAT Profession
BenefitsThe Office for National Statistics is part of the Civil Service, and as such we share a number of key benefits with other departments, whilst also having our own unique offerings to support our 5000+ valued employees across the business.
Whether you are hearing about us for the first time or already know a bit about our organisation, we hope that the benefits pack attached (bottom of page) will give you a great insight into the benefits and facilities available to our employees, and our fantastic working culture.
We are an organisation that takes the well-being of its employees seriously and lives and breathes the desire to modernise the workplace of the future. Everyone, from our office-based staff in Newport, London and Titchfield, to our field interviewers and airports and ports passenger survey staff, are part of a diverse and inclusive family.
Inclusion & Accessibility
At ONS we're always looking to attract the very best people from the widest possible talent pool, and we are proud to be an inclusive, equal opportunities employer. As a member of the Business Disability Forum and a Disability Confident Leader we’re committed to ensuring that all candidates are treated fairly throughout the recruitment process.
As part of our application process, you will be prompted to provide details of any reasonable adjustments to our recruitment process that you need. If you would like to discuss any reasonable adjustments before applying, please contact the recruitment team in the first instance.
If you would like an accessible version of any of the attachments or recruitment documents below or linked to in this advert, please contact the recruitment team who will be happy to assist.
If you need help with any part of the application process or completing your CV or personal statement please contact our Recruitment Team at email@example.com or call us on 01633 455556, one of the team will be happy to help you.
Things you need to knowSecuritySuccessful candidates must pass a disclosure and barring security check.Successful candidates must meet the security requirements before they can be appointed. The level of security needed is security check.
See our vetting charter.People working with government assets must complete basic personnel security standard checks.Selection process detailsThis vacancy is using Success Profiles, and will assess your Behaviours, Experience and Technical skills.Assessment at application stage will be based on your job history, skills, experience and personal statement.
Your CV should include, job history, skills and experience. This should be tailored to demonstrate skills, knowledge and experience that are relevant to the content of the role.
Your personal statement should be no longer than 1,250 words. You should use this space to provide evidence for each essential skills criteria within the person specification and at least one of the desirable skills criteria. We would recommend that you give clear examples for each criteria including the impact of your actions. Your application will be given a single score overall.
Success Profiles Behaviour examples are not required at this stage.
Shortlisting and Interview
In cases where there is a high number of applications the sift pass mark may be adjusted and candidates will be invited to interview in merit order, i.e. those scoring the highest.
Should you be invited to interview, you will be assessed using various assessment techniques aligned to the new Civil Service Success Profiles, where you'll be assessed against all the behaviours outlined in the advert.
A presentation will be required at interview. Further information will be provided to successful candidates prior to interview.
A reserve list may be held for a period up to 12 months from which further appointments may be made.
Sift: w/c 10th January 2022 and w/c 17th January 2022
Interviews: from w/c 31st January 2022 and w/c 7th February 2022
Location: Video Interviews
These dates are subject to change.
The successful candidate is required to carry out all their duties from a UK location, and cannot do so from an overseas location at any time, unless this has been specified as a part of the role. This presence of staff in offices will vary and have flexibility built around the following:
• Needs of the role and business objectives.
• Personal Preferences
• Successful collaboration and effective partnerships with teams/customers and stakeholders.
• Disability and wellbeing considerations
For the full terms and conditions of the post, please see the attachment at the bottom of page.
Visit our careers page
Feedback will only be provided if you attend an interview or assessment.Nationality requirements
This job is broadly open to the following groups:
- UK nationals
- nationals of Commonwealth countries who have the right to work in the UK
- nationals of the Republic of Ireland
- nationals from the EU, EEA or Switzerland with settled or pre-settled status or who apply for either status by the deadline of the European Union Settlement Scheme (EUSS)
- relevant EU, EEA, Swiss or Turkish nationals working in the Civil Service
- relevant EU, EEA, Swiss or Turkish nationals who have built up the right to work in the Civil Service
- certain family members of the relevant EU, EEA, Swiss or Turkish nationals
Further information on nationality requirementsWorking for the Civil ServiceThe Civil Service Code 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.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.Apply and further informationOnce 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 :||Leanne Wicks|
|Recruitment team :|
Further informationIf you feel your application has not been treated in accordance with the Recruitment Principles and you wish to make a complaint, in the first instance, you should contact Pablo Perez, Office for National Statistics, Government Buildings, Cardiff Road, Newport NP10 8XG. If you are not satisfied with the response you receive from the Department, you can contact the Civil Service Commission here
Reference number 170396 Salary50,205 – 60,189GradeGrade 7Contract typePermanentBusiness areaData Science CampusType of roleAnalytical
Architecture and Data
Operational DeliveryWorking patternFlexible working, Full-time, Part-timeNumber of posts1