At a Glance
- Tasks: Join a leading media agency as a Data Science Engineer, enhancing marketing effectiveness through data-driven insights.
- Company: One of the UK’s top independent media agencies with a focus on innovation.
- Benefits: Competitive salary up to £50,000, hybrid work model, and opportunities for professional growth.
- Other info: Mentorship opportunities and a vibrant team culture await you!
- Why this job: Make a real impact by automating workflows and developing tools for major brands and charities.
- Qualifications: Strong Python and SQL skills, experience in data science, and a degree in a related field.
The predicted salary is between 45000 - 50000 £ per year.
Amazing opportunity to join one of the UK’s leading independent media agencies as a Data Science Engineer. A pivotal technical role sitting at the intersection of data science and engineering, supporting the marketing effectiveness team in delivering high impact, data driven insights.
Working for an IPA Effectiveness accredited agency, across multiple leading brands and charities helping to transition manual workflows into scalable, automated, production ready systems, building innovative tools which strengthen the marketing mix modelling and econometrics capabilities.
What you’ll do:
- Maintain and enhance core Python modelling tools for Marketing Effectiveness
- Migrate manual workflows into automated production systems
- Develop in-house tools that improve our MMM and econometric capabilities
- Diagnose and resolve complex technical issues across production systems
- Work closely with analysts and stakeholders to solve domain-specific challenges
- Ensure accuracy and configuration of tools used in client delivery
- Produce clear technical documentation and promote best practices
- Mentor junior engineers and contribute to peer code reviews
You’ll need to have:
- Strong Python engineering skills (clean, modular, production-ready code)
- Experience in data science, including ML/statistical modelling for MMM and econometrics
- Strong SQL for data extraction and analysis
- Solid understanding of software engineering fundamentals (Git, agile workflows)
- Ability to communicate complex ideas clearly to technical and non-technical audiences
- Degree in Computer Science, Data Science, or related field
If this sounds like the role for you then please apply today!
Data Science Engineer - Econometrics in City of London employer: Datatech Analytics
Join a dynamic and innovative team at one of the UK’s leading independent media agencies, where your role as a Data Science Engineer will be pivotal in shaping data-driven marketing strategies. With a strong focus on employee growth, you will have the opportunity to mentor junior engineers and enhance your technical skills in a collaborative environment. Located in Central London, the agency offers a hybrid work model, competitive salary, and unique referral schemes, making it an excellent employer for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Engineer - Econometrics in City of London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Datatech Analytics!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Science Engineer - Econometrics at Datatech Analytics.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Datatech Analytics.
✨Apply Directly through Our Website
When you find a suitable opening like Data Science Engineer - Econometrics at Datatech Analytics, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Science Engineer - Econometrics in City of 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 Datatech Analytics, 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 Datatech Analytics. 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 Datatech Analytics
✨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!
✨Showcase Your Projects
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 Datatech Analytics!
✨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.
