Senior Statistical Data Scientist – Policy Analytics

Senior Statistical Data Scientist – Policy Analytics

Full-Time 56250 - 68750 Β£ / year (est.) On-site
D

At a Glance

  • Tasks: Lead statistical projects and apply advanced methods to analyse policy-relevant data.
  • Company: Join the Office for National Statistics, a key player in UK data science.
  • Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team dedicated to transparency and innovation in data science.
  • Why this job: Make a real impact on policy through data analysis and collaboration with diverse stakeholders.
  • Qualifications: Experience in statistical analysis and strong communication skills are essential.

The predicted salary is between 56250 - 68750 Β£ per year.

The Office for National Statistics in the UK seeks a Senior Statistical Data Scientist based in Titchfield. You will oversee elements of statistical production, research, and data science projects, ensuring reproducibility and transparent collaboration across the team.

You will apply advanced statistical methods to policy-relevant analysis, respond to data issues, lead technical papers for the ONS website and peer journals, and engage with government departments, charities, and academia to share.

Senior Statistical Data Scientist – Policy Analytics employer: DataScientistJobs

AJ Bell is an exceptional employer, renowned for its supportive and collaborative culture that has earned it recognition as one of the UK's Best 100 Companies to Work For. Located in Manchester, employees enjoy a hybrid working model, extensive learning and development opportunities, and a range of benefits including a generous pension scheme and health cash plan. With a commitment to inclusion and diversity, AJ Bell fosters an environment where every team member can thrive and contribute to making investing simpler and more accessible for all.

D

Contact Details:

DataScientistJobs Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior Statistical Data Scientist – Policy Analytics

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like DataScientistJobs!

✨Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Statistical Data Scientist – Policy Analytics at DataScientistJobs.

✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like DataScientistJobs.

✨Apply Directly through Our Website

When you find a suitable opening like Senior Statistical Data Scientist – Policy Analytics at DataScientistJobs, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Statistical Data Scientist – Policy Analytics

Communication Skills
Problem-Solving Skills
Python
SQL
Automation
Data Governance
Data Quality Assurance

Some tips for your application 🫑

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at DataScientistJobs, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at DataScientistJobs. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at DataScientistJobs

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at DataScientistJobs!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.