At a Glance
- Tasks: Build and refine Marketing Mix Models to measure ROI using data analysis.
- Company: Leading digital entertainment company with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with exposure to cutting-edge econometric techniques.
- Why this job: Join a dynamic team and make an impact in marketing analytics.
- Qualifications: Degree in a quantitative field and proficiency in Python or R.
The predicted salary is between 42750 - 52250 £ per year.
Hybrid: (3 days in the Central London office) Our client, a leading digital entertainment company is looking for a Junior Econometrician to join their Marketing Analytics team. This is a fantastic opportunity to take hands-on ownership of a Marketing Mix Modelling (MMM) pipeline, working at the intersection of statistical modelling and experimentation.
What you'll be doing:
- Building and refining MMM models to measure channel ROI, using time-series marketing data (spend, impressions, external factors)
- Calibrating models against incrementality testing (GeoX tests, attribution data)
- Translating model outputs into budget scenario planning and 'what-if' simulation tools
- Using SQL to dig into first-party user data and track key KPIs
- Partnering with Data Engineering to automate and improve data pipelines
- Presenting complex econometric/Bayesian/ML concepts clearly to marketing and senior stakeholders
What we're looking for:
- A degree or proven experience in a highly quantitative field (Econometrics, Statistics, Maths, Data Science, Economics, or Engineering)
- Python (or R) proficiency in pandas, numpy, statistical modelling & ML
- Strong SQL skills for querying large relational datasets
- Exposure to, or strong interest in, MMM frameworks (Robyn, Meridian, PyMC/Bayesian workflows)
- Solid grounding in econometrics, time-series analysis, and regression modelling (OLS, Ridge/Lasso, Bayesian regression)
- Understanding of testing/experimentation methods (A/B, GeoX, hypothesis testing, MDE)
- Genuine interest in marketing dynamics (CAC, CPA, ROI, attribution)
Junior Econometrician employer: TechByte Talent Ltd
As a leading player in the fintech sector, our company offers an exceptional work environment that fosters innovation and collaboration. We prioritise employee growth through continuous learning opportunities and a supportive culture that values diverse perspectives. Located in a vibrant city, we provide competitive benefits and a dynamic atmosphere where your contributions directly impact our success.
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We think this is how you could land Junior Econometrician
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We think you need these skills to ace Junior Econometrician
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 TechByte Talent Ltd, 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 TechByte Talent Ltd. 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 TechByte Talent Ltd
✨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 TechByte Talent Ltd!
✨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.
