Junior Data Scientist – Marketing Analytics & ML

Junior Data Scientist – Marketing Analytics & ML

Full-Time 60750 - 74250 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Dive into data science, tackling marketing analytics and machine learning projects.
  • Company: Join Fospha, a forward-thinking company in the heart of London.
  • Benefits: Enjoy competitive pay, flexible working, and opportunities for growth.
  • Other info: Be part of a dynamic team with a focus on innovation and collaboration.
  • Why this job: Make an impact with your skills while working on exciting, real-world challenges.
  • Qualifications: Strong Python/SQL skills and a passion for machine learning are essential.

The predicted salary is between 60750 - 74250 Β£ per year.

Fospha is seeking a Data Scientist in London to join the Data Science team.

You will work on attribution, marketing mix modelling, and related models, owning tickets end to end and improving production code with AI-assisted tooling.

The role emphasizes deep ML knowledge, strong Python/SQL skills, and the ability to explain methodology to clients, with growing ownership within Stream 3.

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Junior Data Scientist – Marketing Analytics & ML employer: Fosphamarketing

Fospha is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong emphasis on employee growth, you will have access to continuous learning opportunities and the chance to work on cutting-edge projects in marketing analytics and machine learning. Join us to be part of a dynamic team where your contributions are valued, and you can make a meaningful impact in the field.

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Contact Details:

Fosphamarketing Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Junior Data Scientist – Marketing Analytics & ML

✨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 Fosphamarketing!

✨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 Junior Data Scientist – Marketing Analytics & ML at Fosphamarketing.

✨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 Fosphamarketing.

✨Apply Directly through Our Website

When you find a suitable opening like Junior Data Scientist – Marketing Analytics & ML at Fosphamarketing, 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 Junior Data Scientist – Marketing Analytics & ML

Machine Learning (ML)
Python
SQL
Attribution Modelling
Marketing Mix Modelling
Production Code Improvement
AI-assisted Tooling

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 Fosphamarketing, 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 Fosphamarketing. 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 Fosphamarketing

✨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 Fosphamarketing!

✨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.