Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse data to generate insights for research, trading, and marketing.
- Company: Leading data analytics firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make an impact by transforming data into actionable insights in a dynamic environment.
- Qualifications: 2-5 years of data science experience, strong analytical skills, and proficiency in Python and SQL.
- Other info: Ideal for those passionate about data and looking to advance their career.
The predicted salary is between 43200 - 72000 £ per year.
A leading data analytics firm in Greater London is looking for a Data Scientist. The role focuses on analyzing compute and financial data to generate insights for research, trading, and marketing initiatives.
Key responsibilities include:
- Collecting and cleaning large datasets
- Conducting exploratory data analysis
- Building visualizations
The ideal candidate will have 2-5 years of experience in data science, strong analytical skills, and proficiency in Python and SQL. A background in financial instruments is a plus.
Applied Data Scientist: Insights & Dashboards in London employer: Hamilton Barnes ?
Contact Detail:
Hamilton Barnes ? Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist: Insights & Dashboards in London
✨Tip Number 1
Network like a pro! Reach out to people in the data science field, especially those working in financial analytics. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Python and SQL. Visualisations of your work can really impress potential employers and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practising your problem-solving approach will help us demonstrate your analytical skills effectively during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Applied Data Scientist: Insights & Dashboards in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, especially with Python and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how your background in financial instruments can add value to our team. Keep it engaging and personal!
Showcase Your Analytical Skills: In your application, give examples of how you've tackled complex datasets and derived insights. We love seeing real-world applications of your analytical skills, so share any relevant experiences that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Hamilton Barnes ?
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools to analyse data or build visualisations. This will show that you not only have the technical skills but also practical experience.
✨Showcase Your Analytical Mindset
Prepare to talk about how you've approached data analysis in the past. Think of examples where you collected and cleaned large datasets, and how your insights impacted decision-making. This will demonstrate your analytical skills and ability to derive meaningful conclusions from data.
✨Understand Financial Instruments
If you have a background in financial instruments, be sure to highlight it. Familiarise yourself with common terms and concepts in finance, as this knowledge can set you apart from other candidates. It shows that you can apply your data science skills in a financial context.
✨Prepare for Scenario Questions
Expect scenario-based questions where you'll need to explain how you'd handle specific data challenges. Practice articulating your thought process clearly and logically. This will help the interviewers see how you approach problem-solving in real-world situations.
