Data Science Engineer: Automate & Innovate MMM

Data Science Engineer: Automate & Innovate MMM

Full-Time 50000 - 70000 £ / year (est.) No working from home possible
MediaLab Group

At a Glance

  • Tasks: Develop and maintain Python tools to automate workflows and enhance client delivery.
  • Company: Leading marketing innovation agency in Greater London with a focus on creativity.
  • Benefits: Hybrid working options, health perks, and a supportive work environment.
  • Other info: Collaborative culture with opportunities for personal and professional growth.
  • Why this job: Join a dynamic team to innovate and make a real impact in marketing effectiveness.
  • Qualifications: Strong Python skills and data science experience with excellent communication abilities.

The predicted salary is between 50000 - 70000 £ per year.

A leading marketing innovation agency in Greater London is looking for a Data Science Engineer to support the development of specialized software tools for the Marketing Effectiveness team. This pivotal role involves maintaining Python modelling tools, automating workflows, and enhancing client delivery systems.

The ideal candidate will possess strong Python skills, data science experience, and excellent communication abilities, offering a blend of innovation and collaboration.

The position provides hybrid working options and various health and well-being perks.

Data Science Engineer: Automate & Innovate MMM employer: MediaLab Group

As a leading marketing innovation agency in Greater London, we pride ourselves on fostering a dynamic work culture that encourages creativity and collaboration. Our Data Science Engineer role offers not only the chance to work with cutting-edge technology but also provides ample opportunities for professional growth and development, all while enjoying the flexibility of hybrid working and a comprehensive suite of health and well-being benefits.

MediaLab Group

Contact Details:

MediaLab Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Science Engineer: Automate & Innovate MMM

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 MediaLab Group!

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: Automate & Innovate MMM at MediaLab Group.

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 MediaLab Group.

Apply Directly through Our Website

When you find a suitable opening like Data Science Engineer: Automate & Innovate MMM at MediaLab Group, 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: Automate & Innovate MMM

Python
Data Science
Software Development
Workflow Automation
Client Delivery Systems
Communication Skills
Innovation

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 MediaLab Group, 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 MediaLab Group. 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 MediaLab Group

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 MediaLab Group!

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.