Graduate Data Scientist β€” Real-World Analytics & Growth in London

Graduate Data Scientist β€” Real-World Analytics & Growth in London

London Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Support development of data-driven insights and predictive models in a commercial environment.
  • Company: Motia, a forward-thinking company focused on analytics and growth.
  • Benefits: Gain hands-on experience, mentorship from experts, and opportunities for career advancement.
  • Other info: Collaborative culture with a focus on ownership and innovation.
  • Why this job: Make an impact on real-world analytics while learning from experienced data professionals.
  • Qualifications: Recent graduate with a passion for data science and analytical skills.

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

Motia is seeking a Graduate Data Scientist to support development of data-driven insights, predictive models and analytical solutions across marketing, sales and pricing.

You'll work in a commercial environment to drive growth while learning from experienced data professionals.

The role emphasizes collaboration, ownership of analyses, and contributing to dashboards, reporting and model deployment as we migrate to Microsoft Fabric.

UK right to work is required.

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Graduate Data Scientist β€” Real-World Analytics & Growth in London employer: Motia

At Motia, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions collaboration and innovation. Located in North Leeds, our Lawnswood office provides a supportive environment where you can thrive, with ample opportunities for personal and professional growth. Enjoy competitive benefits such as a generous annual leave policy, early finishes on Fridays, and a fun atmosphere that makes every day rewarding.

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Contact Details:

Motia Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Graduate Data Scientist β€” Real-World Analytics & Growth 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 Motia!

✨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 Graduate Data Scientist β€” Real-World Analytics & Growth at Motia.

✨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 Motia.

✨Apply Directly through Our Website

When you find a suitable opening like Graduate Data Scientist β€” Real-World Analytics & Growth at Motia, 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 Graduate Data Scientist β€” Real-World Analytics & Growth in London

Data Analysis
Predictive Modelling
Analytical Solutions
Collaboration
Dashboard Development
Reporting
Model Deployment

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 Motia, 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 Motia. 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 Motia

✨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 Motia!

✨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.