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- Tasks: Use data to drive automation and AI solutions for a major government department.
- Company: Join DWP Digital, a forward-thinking team focused on innovation.
- Benefits: Earn up to £57,367 with hybrid working, flexible hours, and a strong pension plan.
- Why this job: Make a real impact in shaping the future of automation and AI.
- Qualifications: Experience in data science and a passion for technology.
- Other info: Enjoy a great work-life balance and opportunities for career growth.
Making sure you fit the guidelines as an applicant for this role is essential, please read the below carefully.
Pay up to £57,367, plus 28.97% employer pension contributions, hybrid working, flexible hours, and great work-life balance.
Are you a data scientist who wants your work to have real impact in helping prepare a major government department for the future of automation and AI?
As a Data Scientist in DWP Digital, you will work on automation and AI-driven enhancements within the ServiceNow platform.
Data Scientist employer: DWP Digital
Contact Detail:
DWP Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the field, especially those at DWP. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects. We want to see how you tackle real-world problems, so make sure it’s easy to access and visually appealing.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your coding skills and algorithms. We recommend mock interviews with friends or using online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight relevant experience and skills that align with the job description. We want to see how your background fits into our vision at StudySmarter!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our mission. Keep it engaging and personal, so we get a sense of who you are.
Showcase Your Projects: If you've worked on any cool data projects, make sure to mention them! Whether it's a personal project or something from your previous job, we love seeing practical examples of your skills in action.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at DWP Digital
✨Know Your Data
As a Data Scientist, it's crucial to have a solid grasp of data analysis techniques and tools. Brush up on your knowledge of statistical methods, machine learning algorithms, and data visualisation tools. Be ready to discuss specific projects where you've applied these skills.
✨Understand the Role's Impact
Familiarise yourself with how your work as a Data Scientist can influence automation and AI within the government sector. Research DWP's current initiatives and think about how your expertise can contribute to their goals. This shows you're not just interested in the job, but also in making a real impact.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and coding skills. Practice common data science interview questions, and be prepared to solve problems on the spot. Use platforms like LeetCode or HackerRank to sharpen your skills before the interview.
✨Showcase Your Soft Skills
While technical skills are vital, don't underestimate the power of soft skills. Communication, teamwork, and adaptability are key in a hybrid working environment. Prepare examples that demonstrate how you've effectively collaborated with others or adapted to changing circumstances in past roles.
