At a Glance
- Tasks: Join our NextGen BHT team to revolutionise brand monitoring using advanced data science techniques.
- Company: Ipsos, a leading global research company focused on innovation and collaboration.
- Benefits: Enjoy 25 days annual leave, flexible working, and professional development opportunities.
- Other info: Hybrid work model with a commitment to diversity and inclusion.
- Why this job: Make a real impact on brand success while growing your skills in a supportive environment.
- Qualifications: Technical degree in data science, strong Python and R skills, and experience in market research.
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, 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 building time-series econometric models to solve brand and marketing questions.
About You: A technical degree, with a focus on data science or statistics. Solid experience in data science, ideally in Market research or a 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 building time-series 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.
Benefits: 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.
About Us: Ipsos is one of the world’s largest research companies and currently the only one primarily managed by researchers, ranking as a #1 full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work!
About The Team: The Brand Health Tracking Service Line helps clients manage their in-market brands in terms of monitoring health and making sure they are on the right course. Clients have their own sales data, we provide them with brand affinity data to understand how people feel about the brand and its competitors longitudinally.
Data Scientist - Market Research / Brand Health Tracking employer: Ipsos
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 brand health tracking solutions. With a strong emphasis on professional growth, mentorship from experienced leaders, and a commitment to diversity and inclusion, employees are empowered to thrive in their careers while enjoying a comprehensive benefits package and flexible working arrangements. Join us in our mission to deliver impactful insights and make a difference in the world of market research.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Market Research / Brand Health Tracking
✨Tip Number 1
Network like a pro! Reach out to current employees at Ipsos on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the NextGen BHT team.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those involving Python and R. This will give you an edge during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your problem-solving and critical-thinking skills by tackling real-world data challenges. Websites like Kaggle can be a great resource for this.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the Ipsos family.
We think you need these skills to ace Data Scientist - Market Research / Brand Health Tracking
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your technical expertise in Python and R. We want to see how you've used these tools in real-world scenarios, especially in market research or data science projects.
Tailor Your Application:Don’t just send a generic application! Customise your CV and cover letter to reflect the specific skills and experiences that match the Data Scientist role. We love seeing how you connect your background to our needs.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain complex concepts, as we need to know you can communicate effectively with both technical and non-technical folks.
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 in our NextGen BHT team!
How to prepare for a job interview at Ipsos
✨Know Your Tech Inside Out
Make sure you brush up on your Python and R skills, especially in Jupyter Notebooks and Google Colab. Be ready to discuss specific projects where you've applied these tools, as well as any advanced analytics techniques you've used.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges in the past. Think about times when you've had to apply statistical analysis or machine learning techniques to solve brand or marketing questions.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You'll need to convey your ideas to both technical and non-technical stakeholders, so being able to break down your work is crucial.
✨Emphasise Collaboration
Highlight your experience working in cross-functional teams. Discuss how you've collaborated with others, particularly in agile environments, to deliver high-quality results on time.
