Data Science Lead – Marketing Analytics & ML in London

Data Science Lead – Marketing Analytics & ML in London

London Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead a talented team in data science and translate insights into strategies for clients.
  • Company: Innovative performance marketing agency with a focus on impactful projects.
  • Benefits: Flexible hybrid work model and opportunities for professional growth.
  • Other info: Join a rapidly growing company with a dynamic work environment.
  • Why this job: Shape the future of data science and make a significant impact in marketing.
  • Qualifications: Experience in data science and strong leadership skills.

The predicted salary is between 63000 - 77000 Β£ per year.

An innovative performance marketing agency is seeking a Data Science Lead to guide a talented team.

This pivotal role involves leading the data science function, mentoring team members, and translating complex data insights into actionable strategies for high-profile clients.

With a flexible hybrid work model and a focus on impactful projects, this position offers a unique opportunity to shape the future of data science within a rapidly growing company.

If you're passionate about driving results and making a significant impact in the marketing space, this role is perfect for you.
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Data Science Lead – Marketing Analytics & ML in London employer: Explore Group

As a Product Lead at this global marketplace brand, you will be part of a dynamic team that prioritises innovation and customer satisfaction. The company offers a hybrid work environment, competitive salary, and comprehensive benefits, fostering a culture of collaboration and professional growth. With a focus on agile methodologies, employees are encouraged to develop their skills and contribute to meaningful projects that connect merchants and investors seamlessly.

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Contact Details:

Explore Group Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Science Lead – Marketing Analytics & ML in 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 Explore 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 Lead – Marketing Analytics & ML at Explore 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 Explore Group.

✨Apply Directly through Our Website

When you find a suitable opening like Data Science Lead – Marketing Analytics & ML at Explore 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 Lead – Marketing Analytics & ML in London

Data Science
Machine Learning
Team Leadership
Mentoring
Data Analysis
Strategic Thinking
Communication Skills

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 Explore 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 Explore 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 Explore 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 Explore 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.