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- Tasks: Analyse public opinion and build models for election predictions.
- Company: Dynamic data-driven consultancy based in Greater London.
- Benefits: Competitive salary, full-time permanent contract, and growth opportunities.
- Why this job: Make a real impact on democracy through data insights.
- Qualifications: Proficient in Excel, R, Python, and statistical modelling.
- Other info: Join a collaborative team in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A data-driven consultancy in Greater London is seeking a Data Scientist to work on public opinion analysis. Responsibilities include building models for election predictions, managing data pipelines, and presenting insights.
Candidates should be proficient in Excel, R, and Python, with skills in data manipulation and statistical modeling. This role offers competitive compensation based on experience, with a full-time permanent contract.
Electoral Insights Data Scientist employer: Stack Data Strategy
Contact Detail:
Stack Data Strategy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Electoral Insights Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data models and insights. Use platforms like GitHub to share your projects, especially those using R and Python, so potential employers can see what you're capable of.
✨Tip Number 3
Prepare for interviews by brushing up on your statistical modelling knowledge and data manipulation techniques. Be ready to discuss your past projects and how they relate to public opinion analysis—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Electoral Insights Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data manipulation and statistical modelling. We want to see how your skills in Excel, R, and Python can shine through!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for the Electoral Insights Data Scientist role. Share specific examples of your work in public opinion analysis and model building.
Showcase Your Projects: If you've worked on any relevant projects, don’t hesitate to include them! We love seeing real-world applications of your skills, especially in election predictions and data pipelines.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Stack Data Strategy
✨Know Your Data Tools Inside Out
Make sure you're well-versed in Excel, R, and Python. Brush up on your data manipulation and statistical modelling skills, as you might be asked to demonstrate your proficiency during the interview. Prepare examples of how you've used these tools in past projects.
✨Understand Public Opinion Analysis
Familiarise yourself with current trends in public opinion analysis and election predictions. Being able to discuss recent case studies or methodologies will show your passion for the field and your ability to apply your skills to real-world scenarios.
✨Prepare to Present Your Insights
Since presenting insights is a key part of the role, practice explaining complex data findings in a clear and engaging way. You might be asked to present a past project or hypothetical scenario, so think about how you can make your insights accessible to a non-technical audience.
✨Ask Thoughtful Questions
Interviews are a two-way street! Prepare some insightful questions about the company's approach to data science and their expectations for the role. This not only shows your interest but also helps you gauge if the company is the right fit for you.
