Job Specifications
ONS operates a flexible hybrid working model across the UK, with colleagues linked to one of our contractual locations in Newport or Titchfield (Fareham) and working between office and remote throughout the week.
As part of the hybrid working arrangement there is 40% a minimum office attendance requirement. Attendance is typically at your contractual office, with occasional travel to alternative locations.
The induction process for the role will be conducted in person.
Job Summary
Are you an experienced Data Scientist eager to make a real difference in the UK?
We're looking for Data Scientists to join us at the forefront of transforming the statistical landscape. This is your chance to apply your skills to solve complex challenges, leverage diverse data sources, and deliver insights that shape policy, enhance statistics, and drive innovation.
The Office for National Statistics (ONS) is the UK’s largest producer of official statistics, covering a range of key economic, social and demographic topics. These include measuring changes in the value of the UK economy, estimating the size, geographic distribution and characteristics of the population, and providing indicators of price inflation, employment, earnings, crime and migration.
This campaign is for external candidates who wish to be based at either our Newport or Tichfield site. Therefore this campaign has been linked with the internal advert 448902 - Data Scientist. If you are an internal candidate to ONS please apply via the other campaign.The selection and interview process will be combined, so you do not need to apply to both campaigns.
Job Description
What we're looking for:
A self-motivated learner who's eager to constantly improve your data science skills and learn from colleagues and external sources.
A team player who thrives in a collaborative environment, working alongside analysts, digital experts, and stakeholders across the public sector.
Data science is a broad and fast-moving field spanning maths, statistics, software engineering and communications. Data scientists will often work as part of a multidisciplinary team, using data and analytics to inform and achieve organisational goals.
In These Roles, You Will Lead Teams That Will:
Be inquisitive
Explore and visualise data
Make recommendations to address complex problems and to inform strategic and operational decision making
Use data ethically and appropriately
Be innovative and adaptable
Explore existing and new data using a range of statistical tools and techniques, such as machine learning, AI, and predictive analytics
Find patterns in data and transform them into organisational insight
Deliver analysis that is fit for purpose and appropriately assured
Responsibilities
Write clean, reusable code that adheres to best standards (Python, R, cloud platforms, and distributed computing environments).
Deliver innovative data science solutions, from modernising legacy systems to applying cutting-edge techniques to economic and social science problems.
Develop working software and data products for stakeholders, utilising cloud environments, APls, and user interfaces (e.g. Flask).
Manage stakeholder relationships, keeping them updated on progress and identifying risks.
Provide time/resource estimates for proposed work and assist in the development of colleagues' data science skills.
Work within a cross-disciplinary team to deliver impactful data science projects using Agile methodology.
Ensure your work addresses user needs and delivers tangible value for stakeholders.
Develop and apply advanced data science methods to produce innovative economic statistical products and to provide insights about the real-time economy.
Responsibilities
Write clean, reusable code that adheres to best standards (Python, R, cloud platforms, and distributed computing environments).
Deliver innovative data science solutions, from modernising legacy systems to applying cutting-edge techniques to economic and social science problems.
Develop working software and data products for stakeholders, utilising cloud environments, APls, and user interfaces (e.g. Flask).
Manage stakeholder relationships, keeping them updated on progress and identifying risks.
Provide time/resource estimates for proposed work and assist in the development of colleagues' data science skills.
Work within a cross-disciplinary team to deliver impactful data science projects using Agile methodology.
Ensure your work addresses user needs and delivers tangible value for stakeholders.
Develop and apply advanced data science methods to produce innovative economic statistical products and to provide insights about the real-time economy.
Person specification
Essential Criteria:
Data engineering and manipulation (Practitioner)
Data Science Innovation (Practitioner)
Delivering Business Impact (Working)
Programming & Build (Practitioner)
Applied maths, statistics, and scientific practice (Practitioner)
Please see role profile attached.
About the Company
We’re the Office for National Statistics (ONS), the UK’s largest independent producer of official statistics.
The statistics we gather make a real difference, helping people make important decisions for the nation and our communities on everything from health and education to the environment and the cost of living. We’re responsible for the census that happens every ten years and share information and analysis about some of the UK’s most topical issues.
To find out more about how you can join us at the ONS, email talent.ac...
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