At a Glance
- Tasks: Deliver analytical projects and manage client communications using R.
- Company: Join Ebiquity, a global leader in marketing effectiveness.
- Benefits: Career development opportunities in a supportive, inclusive environment.
- Other info: Work with blue-chip clients and grow your expertise in a dynamic team.
- Why this job: Make a real impact by applying your data skills to top brands.
- Qualifications: Degree in maths, statistics, economics or data science; R coding skills required.
The predicted salary is between 50000 - 60000 £ per year.
Our team helps clients measure the marketing effectiveness or ROI of their advertising investment. Only candidates with a degree background in maths, statistics, economics or data science will be considered. At least 4+ years of experience personally or ‘hands‑on’ building Market Mix Models (MMM) is essential. Ebiquity have an impressive roster of blue‑chip clients in retail, automotive, financial services and FMCG providing excellent career development opportunities for those wishing to apply their technical skills to real world problems.
Key Responsibilities
- Deliver outstanding analytical projects for our customers based upon excellent data exploration, econometric analysis, and interpretation.
- Manage less experienced colleagues and graduates/analysts.
- Create concise, insightful customer communications (presentations, documentations, etc.).
- Automate and simplify data processing using existing tools and scripting tasks in R.
- Continually accumulate and develop marketing effectiveness knowledge and sector expertise.
- Take responsibility for keeping tasks on deadline and managing client stakeholders.
- Provide clarity in communicating results to clients both verbally and using Powerpoint.
Skills, Knowledge and Expertise
- At least a 2.1 in one of the following degree (Maths, Statistics, Economics or Data Science).
- Coding skills in R.
- Competent with Excel, PowerPoint and Word.
- A strong desire to learn.
- Be able to communicate in a professional environment.
- Intellectually curious with an open mind, a self‑starter, genuinely interested in data.
- A team player, happy working in small groups.
- Applicants must be eligible to work in the UK.
Benefits
We are a global fast-growing company which offers a variety of opportunities for you to develop your skill set and career. Ebiquity aims to create a workplace that is open and supportive, and free of discrimination and prejudice. We want the best talent available, regardless of race, religion, gender, gender reassignment, sexual orientation, marital status, pregnancy, disability or age.
Consultant Media Mix Modelling with R - 4 Month FTC in London employer: Ebiquity plc
Ebiquity is an exceptional employer that fosters a supportive and inclusive work environment, ideal for those passionate about data and marketing effectiveness. With a strong focus on employee development, you will have the opportunity to work with prestigious clients while honing your analytical skills in a collaborative team setting. Our UK location offers a vibrant atmosphere where innovation thrives, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Consultant Media Mix Modelling with R - 4 Month FTC in London
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We think you need these skills to ace Consultant Media Mix Modelling with R - 4 Month FTC 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 Ebiquity plc, 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 Ebiquity plc. 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 Ebiquity plc
✨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!
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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 Ebiquity plc!
✨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.
