At a Glance
- Tasks: Join our team to revolutionise brand monitoring using advanced data science techniques.
- Company: Ipsos, a leader in market research with a collaborative culture.
- Benefits: 25 days annual leave, pension, income protection, and flexible working options.
- Other info: Hybrid work model with opportunities for mentorship and professional development.
- Why this job: Make a real impact on brand success while growing your data science skills.
- Qualifications: Technical degree in data science, experience in Python & R, and strong problem-solving skills.
The predicted salary is between 40000 - 50000 £ per year.
Make Your Mark at Ipsos
Join our NextGen BHT (Brand Health Tracking) team and be part of the transformative journey in revolutionising brand monitoring and brand marketing decision‑making through advanced data science techniques. With your technical expertise, problem‑solving skills, and excellent proficiency in Python & R, using Jupyter Notebooks and/or Google Colab, you will make a valuable contribution to our clients' brand success.
What is in it for you?
- This is a fantastic opportunity for a Data Scientist seeking to work on an exciting new product and wanting to widen their exposure to new technology and products in Market research.
- We offer a collaborative and innovative work environment where your contributions will be valued, and you will have opportunities for professional growth and development.
- Continuously learning and growing by leveraging guidance and mentorship from the Lead Data Scientist, fostering your professional development.
The Role:
We are looking for a talented and motivated Data Scientist to join our NextGen BHT data science team in the global BHT service line at Ipsos. As a key member of the team, you will work alongside our team of Data Scientists and data engineers, with guidance from our head of modelling and product manager, playing a crucial role in developing predictive modelling, synthetic data and other advanced analytics tools using Python and R (primary in Jupyter Notebooks and colab) to support business decision‑making and brand monitoring.
- Collaborating with the Lead Data Scientists and cross‑functional teams to develop and implement predictive modelling and advanced brand analytics tools using Python and R.
- Contributing to the development of new product features, working closely with the Head of Modelling, Lead Data Scientists and the broader team.
- Participating in agile development processes, delivering high‑quality results within designated deadlines.
- Effectively communicating to convey complex concepts to both technical and non‑technical stakeholders.
- Applying respondent‑level analytics to survey data, testing and refining synthetic data methods, and/or in building timeseries econometric models in relation to solving brand and marketing questions.
About you:
The successful candidate will bring:
- A technical degree, with a focus on data science or statistics.
- Solid experience in data science, ideally in Market research or related role.
- Advanced coding in Python and R.
- Solid knowledge of statistical analysis and machine learning techniques.
- Proficiency in Python and experience using Jupyter Notebooks and/or colab for data analysis and modelling.
- Experience in applying respondent‑level analytics to survey data, and/or in building timeseries econometric models, ideally in relation to solving brand and marketing questions.
- Strong problem‑solving and critical‑thinking skills.
- Effective communication skills to convey complex concepts to both technical and non‑technical stakeholders.
We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities.
We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week.
We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients.
We are proud to be a member of the Disability Confident scheme, certified as Level 2 Disability Confident Employer. We are dedicated to providing an inclusive and accessible recruitment process.
Data Scientist - Market Research Brand Health Tracking in London employer: Ipsos in the UK
Ipsos is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for Data Scientists eager to contribute to cutting-edge market research initiatives. With a strong emphasis on professional growth, employees benefit from mentorship opportunities, flexible working arrangements, and a comprehensive benefits package that includes 25 days of annual leave and various health and wellbeing resources. Join us in our commitment to diversity and inclusion, where your unique perspectives will help shape the future of brand monitoring and marketing decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Market Research Brand Health Tracking in London
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We think you need these skills to ace Data Scientist - Market Research Brand Health Tracking in London
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.
