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- Tasks: Analyse data to uncover insights that drive research, trading, and marketing initiatives.
- Company: Dynamic startup focused on innovative data solutions.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable insights in a fast-paced environment.
- Qualifications: 2–5 years in data science, strong analytical skills, and proficiency in Python and SQL.
- Other info: Join a collaborative team and thrive in a culture of curiosity and innovation.
The predicted salary is between 36000 - 60000 £ per year.
A broad, exploratory data science role focused on analyzing compute and financial data to generate insights that support research, trading, and marketing initiatives. This is an applied analytics role rather than a hardcore model-building position.
Core responsibilities
- Collect, clean, and analyze large datasets on compute inventories, pricing, and transactions
- Conduct exploratory data analysis (EDA) to uncover trends, anomalies, and market opportunities
- Research and engineer features to support AI-driven analyses and product development
- Maintain and utilize GPU compute resources for research and analysis workflows
- Build dashboards, visualizations, and reports to communicate insights internally
- Automate routine analyses to improve efficiency and scalability
- Collaborate with leadership, research, and trading teams to translate findings into action
- Deliver results quickly while maintaining accuracy and reproducibility
Profile they’re looking for
- 2–5 years of experience in data science, research, or quantitative roles
- Strong statistical, analytical, and problem-solving skills
- Proficiency in Python and SQL
- Experience with AI/ML pipelines, feature research, or data-intensive workflows preferred
- Familiarity with financial instruments or markets is a plus but not required
- Naturally curious, able to ask strong questions, and communicate insights clearly
- Comfortable working independently in a fast-paced startup environment
- Candidates from top-tier institutions or strong research/finance backgrounds are highly desirable
Data Scientist in London employer: Hamilton Barnes ?
Contact Detail:
Hamilton Barnes ? Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, dashboards, and any cool visualisations you've built. This is your chance to demonstrate your proficiency in Python and SQL, so let your work speak for itself!
✨Tip Number 3
Prepare for interviews by brushing up on your statistical knowledge and problem-solving skills. We recommend practising common data science interview questions and even doing mock interviews with friends or mentors to build your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job postings and make sure to tailor your application to highlight your experience with exploratory data analysis and AI-driven insights.
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science and analytics. We want to see how your skills align with the role, so don’t be shy about showcasing your Python and SQL prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Scientist role at StudySmarter and how your background makes you a perfect fit for our team.
Showcase Your Projects: If you've worked on any cool projects or analyses, make sure to mention them! We love seeing practical examples of your work, especially if they involve EDA or AI-driven insights.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining the StudySmarter family!
How to prepare for a job interview at Hamilton Barnes ?
✨Know Your Data Inside Out
Before the interview, dive deep into the types of datasets you might be working with. Familiarise yourself with compute inventories, pricing, and transactions. Being able to discuss specific examples of how you've collected, cleaned, and analysed similar data will show your practical experience.
✨Showcase Your EDA Skills
Prepare to talk about your experience with exploratory data analysis (EDA). Bring examples of trends or anomalies you've uncovered in past projects. If possible, have a visualisation or dashboard ready to demonstrate your ability to communicate insights effectively.
✨Brush Up on Python and SQL
Since proficiency in Python and SQL is key for this role, make sure you're comfortable discussing your coding experience. Be ready to answer technical questions or even solve a problem on the spot. Practising common data manipulation tasks can help you feel more confident.
✨Emphasise Collaboration and Communication
This role involves working closely with various teams, so highlight your collaborative experiences. Share examples of how you've translated complex findings into actionable insights for non-technical stakeholders. This will demonstrate your ability to work in a fast-paced environment and communicate clearly.
