Associate Data Scientist

Office for National Statistics

19d ago

Applications are closed

Job
Full-time
Entry, Junior & Mid Level
Data
Research & Development
Newport, +2

Requirements

Essential Skills Criteria:
Programming & Build (data science) - Write and test scripts and create basic models in one or more languages, collaborate on shared codebases, using a variety of methodologies. (Lead Essential Skills Criteria)
Applied maths, statistics, and scientific practices - apply analytical methods including exploratory data analysis and statistical testing to a specific data set, to reach accurate and reliable conclusions. Understand and use different performance and accuracy metrics for model validation in data science projects, hypothesis testing and information retrieval. Compare selected applied mathematics and statistical methods and identify their differences access and use the statistical and scientific tools available within the organisation.
Data engineering and manipulation - Identify and engage with the appropriate engineering support to design and deliver products into the organisation. Understand the reasons for cleansing and preparing data before including it in data science products, recognise the processes and tools involved, and put reusable processes and checks in place. Access and use different architectures (including cloud and on-premise) and data manipulation and transformation tools deployed within the organisation.
Data Science Innovation - Adopt an inquisitive and curious approach to data, seek out and research new data science techniques to support learning, ask questions to improve your knowledge and learn about data science norms, see possibilities for improvements and innovation.
Developing Data Science Capability - Manage your CPD (continuous professional development) and can link your learning to objectives and organisational goals, confidently talk about the benefits of data science approaches to existing and potential customers, demonstrate a good understanding of key data science techniques, such as machine learning, and you can use them to build data science solutions, including reports, models and dashboards.
Understanding Product Delivery - Show an awareness of the differences between delivery methods, such as Agile and waterfall, and can propose the most appropriate method to deliver each product, manage your contribution to tasks to fit in with the work of your wider team.

Responsibilities

Understand the basics of software development and analytical methods, and be able to develop and assure basic models.
Understand and be able to implement a range of data science techniques, including machine learning.
Collaborate with others to develop fit for purpose data science solutions and outputs supporting the organisation.
Prepare and manipulate data and perform analytics, all with appropriate quality assurance.
Present and communicate effectively.
Be aware of project delivery methods.
Be able to create, interpret, and assure statistical outputs effectively.
Be aware of ethical consideration.
Have knowledge of the technologies used.

FAQs

Do we support remote work?

Yes, we operate a flexible hybrid working model, allowing remote work along with a minimum office attendance requirement.

What is the minimum office attendance requirement?

The minimum office attendance requirement is 40% for most locations, with exceptions for Edinburgh and Manchester where it is 20%.

What is the salary for the Associate Data Scientist position?

The salary for the Associate Data Scientist position is £34,075.

Is there support for professional development?

Yes, we offer Protected Learning Time for personal development and an active Community of Practice for training and opportunities.

What are the main responsibilities of the Associate Data Scientist?

Responsibilities include coding, manipulating, engineering, modeling, and analyzing data to support Climate and Health outputs, among other data science techniques.

What skills are required for this role?

Essential skills include programming and data science knowledge, applied mathematics and statistics, data engineering and manipulation, and innovation in data science techniques.

What kind of projects will the Associate Data Scientist be involved in?

The Associate Data Scientist will work on the Standards for Official Statistics on Climate-Health Interactions (SOSCHI) project, focusing on measuring climate change impacts on health.

Are there any specific nationality requirements for this position?

Yes, candidates must be UK nationals or nationals from certain countries with the right to work in the UK, including EU nationals with settled or pre-settled status.

How will the selection process be conducted?

The selection process consists of two stages: an application assessment and an interview, which may include a presentation.

Is inclusion and accessibility a priority for the ONS?

Yes, the Office for National Statistics is committed to being an inclusive and equal opportunities employer, and they encourage applicants to communicate any reasonable adjustments needed during the recruitment process.

Office for National Statistics

The UK's largest independent producer of official statistics and the recognised national statistical institute of the UK

Government

Industry

1001-5000

Employees

Mission & Purpose

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. Based on feedback from colleagues, the ONS has been named by Glassdoor as one of the best places to work in the UK in 2023. We’re the first Civil Service department to make it into the top 50.