Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: As a Data Scientist, you'll analyse data to drive impactful decisions for millions.
- Company: Join DWP, a leader in digital innovation focused on improving lives across the UK.
- Benefits: Enjoy hybrid working, flexible hours, and a generous pension contribution.
- Why this job: Make a real difference while working with cutting-edge technology in a supportive environment.
- Qualifications: No specific qualifications mentioned; passion for data and problem-solving is key.
- Other info: This role offers a fantastic work-life balance and the chance to influence public services.
The predicted salary is between 33000 - 77000 £ per year.
Pay up to £55,091, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work life balance.
DWP. Digital with Purpose.
Joining DWP's Working Age Services team, you'll apply data science on a massive scale and help influence outcomes that affect millions of UK citizens.
Our teams use fresh ideas and leading-edge tech to build and maintain digital solutions.
Contact Detail:
DWP Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the specific data science tools and technologies mentioned in the job description. DWP is likely looking for candidates who are proficient in these areas, so showcasing your skills in relevant software or programming languages can set you apart.
✨Tip Number 2
Network with current or former employees of DWP to gain insights into their work culture and expectations. This can help you tailor your approach and demonstrate your genuine interest in the role during any interviews.
✨Tip Number 3
Stay updated on the latest trends and developments in data science, especially those that impact public services. Being able to discuss recent advancements or case studies in your interview can show your passion and commitment to the field.
✨Tip Number 4
Prepare to discuss how your work can influence outcomes for UK citizens. DWP values candidates who understand the social impact of their work, so think about examples from your past experiences that highlight this connection.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Familiarise yourself with the responsibilities of a Data Scientist at DWP. Highlight your experience with data science techniques and tools that are relevant to the job description.
Tailor Your CV: Customise your CV to reflect your skills in data analysis, machine learning, and any relevant programming languages. Make sure to include specific projects or achievements that demonstrate your capabilities in these areas.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the mission of DWP. Emphasise your passion for using data science to influence outcomes for UK citizens and how you can contribute to their team.
Proofread and Edit: Before submitting your application, carefully proofread your documents. Check for spelling and grammatical errors, and ensure that your writing is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at DWP Digital
✨Showcase Your Technical Skills
As a Data Scientist, you'll need to demonstrate your proficiency in data analysis, machine learning, and statistical modelling. Be prepared to discuss specific projects where you've applied these skills, and consider bringing along a portfolio of your work to showcase your capabilities.
✨Understand the Company’s Mission
DWP is focused on influencing outcomes for millions of UK citizens. Research their current projects and initiatives, especially within the Working Age Services team. Showing that you understand their mission and how your role fits into it can set you apart from other candidates.
✨Prepare for Scenario-Based Questions
Expect to face scenario-based questions that assess your problem-solving abilities. Think about how you would approach real-world data challenges, and be ready to explain your thought process clearly and logically during the interview.
✨Emphasise Collaboration and Communication
Data Scientists often work in teams and need to communicate complex ideas to non-technical stakeholders. Highlight your experience in collaborative projects and your ability to convey technical information in an accessible way. This will show that you can thrive in a hybrid working environment.
