Data Science Graduate Programme

Location: The roles are based across the UK, you will be attached to one of the following locations: Birmingham, Bristol, Cambridge, Croydon, Darlington, Fareham, Leeds, London, Manchester, Newcastle, Newport, Nottingham, Penrith, Plymouth, Reading, Salisbury, Sheffield, Wolverhampton. Availability of positions at each location and working arrangements including Homeworking, will be subject to organisation's capacity.

Salary: Starting salary can range between £28,408 to £36,000 and is determined by location and the organisation you join.

Working Patterns: Flexible working, Full-time, Homeworking, Job share, Part-time. Fixed term appointment will be for a minimum of 2 years.

Closing Date: 11:55pm on Thursday Tuesday 9th May.

Are you a recent graduate with a passion for making a positive impact in society using your Data Science skills? If so, we have an exciting opportunity for you! The Data Science Graduate Programme, delivered by the Data Science Campus at the Office for National Statistics, offers structured training in data science skills and techniques while you work alongside experienced teams of data scientists in high-profile public-sector organizations.

As a Data Science Graduate, you will help public sector organizations tackle some of the key issues facing society by delivering insight from data and applying innovative approaches and techniques. You will have the chance to work on exciting projects and day-to-day problems in your assigned organization, building your knowledge and skills and making a real-world impact.

We are looking for candidates with core programming skills, mathematical skills, logical and creative thinking skills, and strong verbal and written communication skills. You should have at least a 2:1 degree or equivalent experience of working in an analytical field, with a passion for data and a desire to use it to make a difference.

The Data Science Graduate Programme offers a highly valuable two-year learning pathway with regular training sessions delivered by the Data Science Campus, allowing you to think critically about data and data science with appropriate consideration of ethics, impartial analysis, and effective communication of data-derived insights.

We are hosting online events to enable candidates to meet the team find out more about the Data Science Graduate Programme and how to apply on:

27th April 2023 at 13:30 -15:00 hrs or

3rd May 2023 at 17:30 - 19:00 hrs.

via the link below:

https://www.eventbrite.com/e/595635340337

Join us on this exciting journey to help drive the collective vision of the National Data Strategy and support the UK to build a world-leading data economy. Apply now to take the first step towards a successful data science career in the public sector!

For full details on the role, candidate pack and to apply, please follow the APPLY link to Civil Service Jobs!

In return we offer:

✔Hybrid working in an organisation voted top in the UK for work-life balance 2 years running

✔A market leading pension scheme - our employer contribution rate is around 27%

✔A choice of working patterns *for every role* full-time, part-time, job-share.

✔Maternity, adoption or shared parental leave of 26 weeks full pay (subject to qualifying criteria)

✔Employee Assistance Programmes

✔Diversity Network Groups

✔Mental Health Allies

✔Civil Service Sports and Social club

✔Generous holiday allowance – 25 days annual leave, rising to 30 days after 5 years service in addition to 9 public holidays

✔Protected L&D time and huge investment in certifications, training & upskilling

Job Type: Graduate

Salary: £28,408.00-£36,000.00 per year

Benefits:

• Canteen
• Casual dress
• Company pension
• Cycle to work scheme
• Discounted or free food
• Employee discount
• Flexitime
• Free parking
• On-site gym
• On-site parking
• Paid volunteer time
• Sick pay
• Wellness programme
• Work from home

Schedule:

• 8 hour shift
• Day shift
• Flexitime
• Monday to Friday

Education:

• Diploma of Higher Education (preferred)

Work Location: Remote

Reference ID: 272296