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Are you looking to develop a career in within one of the world’s largest Research Organisations?

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 proficiency in Python and Jupyter Notebooks, you will make a valuable contribution to our clients' brand success. We offer a collaborative and innovative work environment where your contributions will be valued, and you will have opportunities for professional growth and 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 Senior Data Scientist, playing a crucial role in developing predictive modelling and simulation tools using Python and Jupyter Notebooks to support business decision-making and brand monitoring.

What will I be doing?

• Collaborating with the Senior Data Scientist and cross-functional teams to develop and implement predictive modelling and simulation tools using Python and Jupyter Notebooks.
• Contributing to the development of new product features, working closely with the Senior Data Scientist and the broader team.
• Participating in agile development processes, delivering high-quality results within designated deadlines.
• Continuously learning and growing by leveraging guidance and mentorship from the Senior Data Scientist, fostering your professional development.
• Effectively communicating to convey complex concepts to both technical and non-technical stakeholders.
• Applying respondent level analytics to survey data, and / or in building timeseries econometric models in relation to solving brand and marketing questions.

What do I need to bring with me?

• A technical degree, with a focus on data science or statistics.
• Experience in a data science or related role
• Advanced coding in Python, R or similar languages.
• Solid knowledge of statistical analysis and machine learning techniques.
• Proficiency in Python and experience using Jupyter Notebooks for data analysis and modelling.
• Strong problem-solving and critical-thinking skills.
• Effective communication skills to convey complex concepts to both technical and non-technical stakeholders.
• Effective communication skills, with the ability to convey complex concepts to both technical and non-technical stakeholders.
• 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.

Location:
Ipsos is a hybrid - remote/office working organisation. Ideally located in London, but consideration will also be given to candidates in France or other European locations, as well as South Africa.

About us…
We are one of the world’s largest research companies and currently the only one primarily managed by researchers. With offices in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts globally with local knowledge to deliver top-quality research.
Our culture is unique - we have the entrepreneurial spirit and quirkiness of a small boutique, but we also have the resources, scale and diversity of a large global agency. We have more bright, friendly, hard-working and enthusiastic people, from more backgrounds, with more interests, skills and experiences to learn from. Our values are based on our diverse cultural backgrounds, helping us to be responsive, client-focused and flexible.

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 understand the importance of choice and offer a blended work environment, office and work from home. We also realise you may have commitments outside of work and will consider all flexible working applications - please highlight what you are looking for when you make your application.

If this is what you are looking for from your next role, we look forward to hearing from you!