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For Companies At a Glance
- Tasks: Prepare and analyse datasets, build machine-learning models, and contribute to impactful data projects.
- Company: Join the Office for National Statistics, shaping the future of UK data.
- Benefits: Gain hands-on experience, competitive pay, and opportunities for rapid career growth.
- Other info: Hybrid work model with a focus on professional development and collaboration.
- Why this job: Make a difference with data that impacts millions while learning from industry experts.
- Qualifications: Foundational data science skills, experience with Python or R, and a degree in a related field.
The predicted salary is between 30000 - 40000 £ per year.
On behalf of ONS, we are looking for an Associate Data Scientist (INSIDE IR35) for a 6 month contract based Hybrid in Newport or Titchfield.
About the Role
ONS is building a brand new early career Data Scientist talent pipeline to grow the next generation of data professionals supporting the UK’s most important statistics. This is a fantastic opportunity for people with foundational data science skills who are looking to develop quickly, gain hands-on experience and contribute to projects that impact millions of people across the UK. You’ll join as an Associate Data Scientist (HEO), working within multidisciplinary teams alongside experienced Data Scientists, Data Engineers and Software Engineers. You’ll contribute to the development of analytical models, data pipelines and statistical products that underpin core UK government data.
As an Associate Data Scientist (HEO) your main responsibilities will include:
- Preparing, cleaning and transforming datasets for analysis.
- Building and testing simple machine-learning models under guidance.
- Contributing to data science projects used in national statistics, forecasting and research.
- Working with Data Engineers and senior DS colleagues to deliver quality-assured outputs.
- Learning new tools, techniques and technologies as part of structured development pathways.
This role suits someone with solid academic grounding and early hands-on experience who wants to grow fast.
Experience using Python or R to write scripts and build basic models.
Understanding of statistics and model evaluation metrics.
Ability to clean, prepare and manipulate data.
Ability to explain findings to both technical and non-technical audiences.
Curious, analytical mindset with a desire to learn and grow.
A degree in Data Science, Maths, Statistics, Computer Science or related field or equivalent practical experience.
Exposure to cloud environments (e.g., AWS or Azure).
Familiarity with data visualisation tools (PowerBI, Plotly or similar).
Some experience with machine learning libraries (such as Scikit-learn).
Basic understanding of Agile or collaborative delivery methods.
Please be aware that this role can only be worked within the UK and not Overseas.
Disability Confident
As a member of the Disability Confident Scheme, ONS guarantees to interview all candidates who have a disability and who meet all the essential criteria for the vacancy. In cases where we have a high volume of candidates who have a disability who meet all the essential criteria, we will interview the best candidates from within that group. This scheme encourages candidates with a disability and/or neurodivergence to apply. In exceptional circumstances, we may also need to apply the desirable criteria in our shortlisting process which may include holding active security clearance.
Armed Forces Covenant
ONS guarantees to interview veterans or spouses/partners of military personnel who meet all the essential criteria for the vacancy. In cases where we have a high volume of ex-military candidates/military spouses or partners, who meet all of the essential criteria, we will interview the best candidates from within that group. In exceptional circumstances, we may also need to apply the desirable criteria in our shortlisting process which may include holding active security clearance.
In applying for this role, you acknowledge the following: this role falls in scope of the Off Payroll Working in the Public Sector legislation. Any rates of payment quoted will reflect the gross rate per day for the assignment and will be subject to appropriate taxes and statutory costs. As such the payment to the intermediary and your income resulting from this contract will be different.
Locations
Associate Data Scientist (HEO) in Newport, Wales employer: Jobs for Humanity
Contact Detail:
Jobs for Humanity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate Data Scientist (HEO) in Newport, Wales
✨Tip Number 1
Network like a pro! Reach out to current or former employees at ONS on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your Python or R skills. We should be ready to discuss how we've used these tools in past projects, especially when it comes to data cleaning and model building.
✨Tip Number 3
Show off our curiosity! During interviews, ask questions about the projects we’d be working on. This not only shows our interest but also helps us understand how we can contribute to the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, we can keep track of our application status easily!
We think you need these skills to ace Associate Data Scientist (HEO) in Newport, Wales
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Associate Data Scientist role. Highlight your foundational data science skills, any relevant projects, and your experience with Python or R. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity at ONS and how your background aligns with the role. Let us know about your curiosity and desire to learn and grow in data science.
Showcase Your Skills: In your application, don’t forget to mention your experience with data cleaning, machine learning models, and any tools like PowerBI or cloud environments. We’re looking for candidates who can hit the ground running, so show us what you've got!
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way for us to receive your application and keep track of all the amazing talent out there. Don’t miss out on this fantastic opportunity!
How to prepare for a job interview at Jobs for Humanity
✨Know Your Data Science Basics
Make sure you brush up on your foundational data science skills. Be ready to discuss your experience with Python or R, and how you've used them to clean, prepare, and manipulate data. Highlight any projects where you've built simple machine-learning models, as this will show your hands-on experience.
✨Understand the Role and the Organisation
Research the Office for National Statistics (ONS) and their mission. Understand the importance of the data they handle and be prepared to discuss how your skills can contribute to national statistics and research. This shows your genuine interest in the role and the impact it has.
✨Prepare for Technical Questions
Expect questions about statistical concepts and model evaluation metrics. Brush up on your knowledge of cloud environments like AWS or Azure, and be ready to explain how you've used data visualisation tools like PowerBI or Plotly in your previous work or studies.
✨Show Your Curiosity and Willingness to Learn
During the interview, express your eagerness to learn new tools and techniques. Share examples of how you've approached learning in the past, whether through formal education or self-study. This aligns perfectly with the role's focus on development pathways and growth.