At a Glance
- Tasks: Enhance HMRC’s data analytics platform and support data-driven solutions.
- Company: Join HMRC, a key player in powering UK public services.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on learning and development.
- Why this job: Make a real impact on data analytics that benefits millions.
- Qualifications: Proficient in Python, R, SQL or SAS with teamwork skills.
The predicted salary is between 40000 - 50000 € per year.
You’ll work closely with data scientists and engineers to improve HMRC’s data analytics platform, helping teams access, transform and use data more effectively. This includes onboarding new data sources, managing data transformations, supporting R/Python applications and APIs, and ensuring data is secure and compliant.
Key Responsibilities:
- Can code in Python, R, SQL or SAS and take solutions from prototype to production.
- Are confident working with data pipelines, transformations and integrations.
- Can collaborate with both technical and non-technical stakeholders.
- Have experience working across teams to deliver data-driven solutions.
- Are keen to learn, develop and support others.
HMRC supports over 50 million customers and funds UK public services - and this role helps power the data that makes it all work. You’ll be helping teams deliver analytics and machine learning solutions that have real operational impact across the UK.
Data Scientist - HMRC - SEO in Manchester employer: Government Digital & Data
HMRC is an exceptional employer that values collaboration and innovation, providing a dynamic work environment where data scientists can thrive. With a strong commitment to employee development, you will have access to continuous learning opportunities and the chance to make a tangible impact on public services for over 50 million customers. The supportive culture encourages teamwork across technical and non-technical stakeholders, making it a rewarding place to grow your career in data analytics.
Contact Detail:
Government Digital & Data Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - HMRC - SEO in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees at HMRC on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data projects, especially those using Python, R, or SQL. We want to demonstrate how we can take solutions from prototype to production.
✨Tip Number 3
Brush up on your communication skills! Since we’ll be collaborating with both technical and non-technical folks, practice explaining complex data concepts in simple terms. It’s all about making connections!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of your progress and support you along the way.
We think you need these skills to ace Data Scientist - HMRC - SEO in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data pipelines, transformations, and the programming languages mentioned in the job description. We want to see how your skills align with what we need at HMRC!
Showcase Your Projects:Include examples of projects where you've taken solutions from prototype to production. We love seeing real-world applications of your skills, especially if they had a significant impact!
Highlight Collaboration Skills:Since you'll be working with both technical and non-technical stakeholders, it's important to demonstrate your ability to communicate effectively across teams. Share experiences where you’ve successfully collaborated with others.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at Government Digital & Data
✨Know Your Data Tools
Make sure you brush up on your skills in Python, R, SQL, and SAS. Be ready to discuss how you've used these tools in past projects, especially in relation to data pipelines and transformations. This will show that you can hit the ground running!
✨Showcase Collaboration Skills
Since you'll be working with both technical and non-technical stakeholders, prepare examples of how you've successfully collaborated across teams. Highlight any experiences where you translated complex data concepts into understandable terms for non-technical colleagues.
✨Demonstrate Problem-Solving Abilities
Think of specific challenges you've faced in data analytics and how you overcame them. Be ready to explain your thought process and the impact of your solutions, especially those that led to significant operational improvements.
✨Express Your Eagerness to Learn
HMRC values continuous learning, so be prepared to discuss how you stay updated with industry trends and technologies. Share any recent courses or projects that demonstrate your commitment to personal and professional development.
