At a Glance
- Tasks: Support data science initiatives and drive business outcomes through analytics and AI solutions.
- Company: Branding Science Group, a forward-thinking team in data science and healthcare.
- Benefits: Hybrid working, collaborative environment, and opportunities for skill development.
- Other info: Join a dynamic team and shape the future of data science and AI.
- Why this job: Launch your career in data science and make a real impact on meaningful projects.
- Qualifications: Degree in a numerate discipline and experience with Python or R.
The predicted salary is between 28000 - 35000 £ per year.
Location: UK (London-based)
Hybrid working: 3 days in the office
Are you passionate about using data science, AI and analytics to solve real-world business challenges? At Branding Science Group, we're looking for a motivated Graduate Data Scientist to join our growing global Data Science team. Working at the intersection of data science, healthcare insights, technology and innovation, you'll help drive meaningful business change through automation, analytics and AI-powered solutions, while developing your technical expertise in a supportive and collaborative environment.
What You’ll Do
- Support data science initiatives that drive key business outcomes
- Assist in delivering our data strategy and improving access to internal data assets
- Build, maintain and enhance internal data science tools, pipelines and AI-powered applications
- Perform quantitative data analysis for client projects
- Identify and implement automation opportunities to improve business efficiency
- Support the rollout and adoption of new data and AI tools across teams
- Contribute to thought leadership activities, including LinkedIn content and conference presentations
- Help improve AI literacy and data science capabilities across the organisation
- Provide regular updates and reporting to senior team members
What You’ll Bring
- A Bachelor's, Master's or PhD in Mathematics, Statistics, Data Science or another numerate discipline
- A strong interest in applying data science to solve business problems
- Experience contributing to analytical, technical or machine learning projects through academic, internship or personal projects
- Understanding of statistical concepts including hypothesis testing, regression and p-values
- Experience coding in Python or R for data analysis, modelling or visualisation
- Strong analytical thinking and problem-solving skills
- Excellent communication skills with the ability to explain technical concepts to non-technical audiences
- Strong organisational and time-management skills
- A proactive mindset, curiosity to learn and high personal integrity
Desirable Experience
- Experience building code-based technical solutions
- Exposure to AI or LLM applications (e.g. OpenAI or Anthropic APIs)
- Experience using Git or other version control systems
- Exposure to data pipelines, APIs and SQL databases
- Experience deploying internal or web-based data tools
Why Branding Science Group?
Join a collaborative, forward-thinking team that combines data science, AI, healthcare expertise and strategic insight to help clients and colleagues make better decisions. You’ll have the opportunity to work on meaningful projects, develop in-demand technical skills, collaborate with global colleagues, and play a role in shaping the future of data science and AI at Branding Science Group. If you’re ready to launch your career in data science and make a real impact...
Graduate Data Scientist employer: Branding Science Group
Branding Science Group is an exceptional employer for aspiring data scientists, offering a dynamic and supportive work environment in London. With a strong focus on collaboration and innovation, employees benefit from hybrid working arrangements, opportunities for professional growth, and the chance to contribute to impactful projects at the forefront of data science and AI in healthcare. Join us to develop your skills while making a meaningful difference in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Scientist
✨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 Branding Science 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 Graduate Data Scientist at Branding Science 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 Branding Science Group.
✨Apply Directly through Our Website
When you find a suitable opening like Graduate Data Scientist at Branding Science 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 Graduate Data Scientist
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 Branding Science 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 Branding Science 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 Branding Science 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 Branding Science 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.
