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- 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, flexible working, and professional development opportunities.
- 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 and R, strong problem-solving skills.
- Other info: Hybrid work model with a commitment to diversity and inclusion.
The predicted salary is between 40000 - 50000 £ per year.
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? 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 - Python/Jupyter (Market Research) employer: Ipsos in the UK
Contact Detail:
Ipsos in the UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Python/Jupyter (Market Research)
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those using Jupyter Notebooks. This gives you a chance to demonstrate your expertise in a practical way.
✨Tip Number 3
Prepare for the interview by brushing up on your problem-solving skills. Be ready to tackle real-world data challenges and explain your thought process clearly to both technical and non-technical folks.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Ipsos.
We think you need these skills to ace Data Scientist - Python/Jupyter (Market Research)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical expertise in Python and Jupyter Notebooks. We want to see how you've used these tools in your previous projects, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for the Data Scientist role. Mention specific experiences that relate to market research and predictive modelling, as this will show us you’re a perfect fit for our team.
Keep It Clear and Concise: When writing your application, aim for clarity. Use straightforward language to explain complex concepts, as we value effective communication with both technical and non-technical stakeholders.
Apply Through Our Website: We encourage you to apply directly through our website. This way, you’ll ensure your application reaches us quickly and efficiently, and you can easily keep track of your application status!
How to prepare for a job interview at Ipsos in the UK
✨Know Your Python and Jupyter Inside Out
Make sure you brush up on your Python skills, especially in the context of data analysis and modelling. Be prepared to discuss specific projects where you've used Jupyter Notebooks or Google Colab, and how these tools helped you solve complex problems.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your problem-solving abilities, particularly in market research scenarios. Think about times when you applied statistical analysis or machine learning techniques to derive insights from data, and be ready to explain your thought process.
✨Communicate Complex Concepts Simply
Practice explaining technical concepts in a way that non-technical stakeholders can understand. This is crucial for the role, so consider how you would break down a complex model or analysis into layman's terms during the interview.
✨Emphasise Collaboration and Agile Experience
Since the role involves working closely with cross-functional teams, be ready to discuss your experience in collaborative environments. Highlight any agile methodologies you've worked with and how they contributed to successful project outcomes.