Data Scientist: Brand Health Tracking & Market Research in London

Data Scientist: Brand Health Tracking & Market Research in London

London Full-Time 35000 - 45000 £ / year (est.) Home office (partial)
Ipsos in the UK

At a Glance

  • Tasks: Develop predictive models and advanced analytics tools using Python and R.
  • Company: Ipsos, a leading market research company with a collaborative culture.
  • Benefits: Comprehensive benefits package, flexible working hours, and professional growth opportunities.
  • Why this job: Join a dynamic team and make an impact in brand health tracking.
  • Qualifications: Experience in data science and proficiency in Python and R.

The predicted salary is between 35000 - 45000 £ per year.

Ipsos in the UK is seeking a Data Scientist for their NextGen Brand Health Tracking team. This role involves developing predictive modelling and other advanced analytics tools using Python and R, with opportunities for professional growth.

We offer a collaborative work environment along with a comprehensive benefits package. Flexibility in working hours is available, promoting a balance between work and personal commitments.

Data Scientist: Brand Health Tracking & Market Research in London employer: Ipsos in the UK

Ipsos in the UK is an excellent employer for those seeking a meaningful career in data science, particularly within the dynamic field of brand health tracking and market research. With a strong emphasis on professional growth, a collaborative work culture, and flexible working hours, Ipsos ensures that employees can thrive both personally and professionally while enjoying a comprehensive benefits package.

Ipsos in the UK

Contact Details:

Ipsos in the UK Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist: Brand Health Tracking & Market Research in London

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Apply Directly through Our Website

When you find a suitable opening like Data Scientist: Brand Health Tracking & Market Research at Ipsos in the UK, 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 Data Scientist: Brand Health Tracking & Market Research in London

Predictive Modelling
Advanced Analytics
Python
R
Data Analysis
Collaboration Skills
Flexibility

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 Ipsos in the UK, 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 Ipsos in the UK. 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 Ipsos in the UK

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 Ipsos in the UK!

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.