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- Tasks: Join a dynamic team to analyse consumer behaviour and optimise media strategies.
- Company: Measure Protocol is revolutionising data ethics with a transparent human data marketplace.
- Benefits: Enjoy hybrid working, competitive salary up to £90,000, and stock options.
- Why this job: Be part of a mission-driven company that empowers individuals over their data.
- Qualifications: Proficiency in Python, R, SQL, and experience with econometric methods required.
- Other info: This role is based in London; sponsorship is not available.
The predicted salary is between 54000 - 126000 £ per year.
Overview Senior Data Scientist – Consumer Behaviour – exciting scale up propositionLondon office hybrid 3 days per week. Salary negotiable dependent on experience to £90,000 + stock options. Job Reference J12960.Please note this client is unable to offer sponsorship; ensure you have full UK working rights.Measure Protocol are looking for a smart, creative and dynamic Senior Data Scientist to help shape and mould their approach and products to build the best-in-class consumer data company. Measure builds a world where data is owned and controlled by individuals, with a focus on ethical and transparent use of data.Measure has recently raised investment and works with leading brands to provide access to consumer behavioural data.The Role Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis.Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes.Model Validation and Interpretation: Evaluate the accuracy and robustness of models, interpret results, and communicate findings to stakeholders clearly.Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing.Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights.Data Science: Proficiency in Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries.Econometrics Background (Usefulness): Expertise in linear regression, generalised linear models, panel data analysis, and time series forecasting.Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs.Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders.Business Acumen: Understanding of business objectives and ability to translate data insights into actionable strategies.Additional Skills: Marketing Mix Modelling (MMM) to assess the incremental impact of media channels on sales, considering seasonality and competition.Qualifications and Experience Strong programming skills in Python, R, and SQL.Experience with econometrics, time series, panel data, and predictive modelling.Experience working with large media datasets and knowledge of media KPIs.Ability to communicate complex results to non-technical audiences.Next steps If this sounds like the role for you, please apply to our retained recruiters, Datatech Analytics, today.We are recruiting for this role and will review applications on an ongoing basis.
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Senior Data Scientist - Consumer Behaviour - exciting scale up proposition employer: Guaranteed Tenants Ltd
Contact Detail:
Guaranteed Tenants Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Consumer Behaviour - exciting scale up proposition
✨Tip Number 1
Familiarise yourself with the latest trends in consumer behaviour and data science. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the data science field, especially those who have experience in consumer behaviour. Attend industry meetups or webinars to make connections that could lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've applied econometric techniques or advanced analytics. Be ready to explain your thought process and the impact of your work on business outcomes.
✨Tip Number 4
Research Measure Protocol thoroughly. Understanding their mission and how they operate will allow you to tailor your discussions and demonstrate your genuine interest in contributing to their goals.
We think you need these skills to ace Senior Data Scientist - Consumer Behaviour - exciting scale up proposition
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and required skills. Tailor your application to highlight your experience in data cleaning, statistical analysis, and model validation.
Highlight Relevant Skills: Make sure to emphasise your proficiency in Python, R, SQL, and any data visualisation tools you are familiar with. Mention specific projects or experiences where you applied econometric methods and advanced analytics.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the company's mission of building an ethical data marketplace. Explain how your skills can contribute to their goals and why you are excited about this opportunity.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors. Ensure that your documents are well-structured and clearly communicate your qualifications and enthusiasm for the role.
How to prepare for a job interview at Guaranteed Tenants Ltd
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, R, SQL, and any data visualisation libraries you are familiar with. Be prepared to discuss specific projects where you've applied these skills, especially in relation to econometric methods.
✨Understand the Media Landscape
Familiarise yourself with the media landscape, ad formats, and industry KPIs. Being able to discuss how these elements impact consumer behaviour will demonstrate your knowledge and relevance to the role.
✨Communicate Clearly
Prepare to explain complex concepts in a way that non-technical stakeholders can understand. Practising how you would present your findings from statistical analyses can help you convey your insights effectively during the interview.
✨Demonstrate Business Acumen
Be ready to discuss how you can translate data insights into actionable strategies. Think of examples where your analysis has directly influenced business decisions or campaign optimisations in previous roles.
