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For Companies At a Glance
- Tasks: Analyze data, build models, and create visualizations to drive business decisions.
- Company: Join an innovative London-based organization making a real impact with data.
- Benefits: Enjoy hybrid working, access to cutting-edge tools, and clear career progression.
- Why this job: Be part of a creative team that values collaboration and continuous learning.
- Qualifications: Degree in STEM from a Russell Group university; proficiency in Python and SQL required.
- Other info: Ideal for recent grads eager to dive into data science and make a difference.
The predicted salary is between 28000 - 36000 £ per year.
Junior Data Scientist – FinTech
Location: London, UK (Hybrid Working)
Salary: £35,000 – £45,000 + Bonus
Start Date: ASAP or within 1-2 months
Are you a highly analytical STEM graduate with a passion for data science and financial technology? We are seeking a Junior Data Scientist to join our client’s London-based fintech team, where you will work with large-scale financial datasets, develop predictive models, and support data-driven decision-making in a dynamic and fast-growing sector.
Key Responsibilities
Data Science & Modelling: Work with complex financial datasets to extract insights, optimise risk models, and improve trading strategies.
Junior Data Scientist employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist
✨Tip Number 1
Familiarize yourself with the latest trends in data science, especially in machine learning and predictive modeling. This will not only help you during the interview but also show your genuine interest in the field.
✨Tip Number 2
Engage with the data science community online. Participate in forums, attend webinars, or join local meetups. Networking can provide valuable insights and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've applied Python and SQL. Be ready to explain your thought process and the impact of your work, as this demonstrates your practical experience.
✨Tip Number 4
Showcase your ability to visualize data effectively. If you have examples of dashboards or visualizations you've created, be prepared to discuss them. This skill is crucial for communicating insights to diverse teams.
We think you need these skills to ace Junior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant skills and experiences related to data analysis, Python, SQL, and machine learning. Use keywords from the job description to demonstrate that you meet the requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and how your background aligns with the role. Mention specific projects or experiences that demonstrate your analytical skills and ability to work with data.
Showcase Your Technical Skills: If you have experience with data visualization tools like Tableau or Power BI, or libraries like Pandas and NumPy, be sure to mention these in your application. Provide examples of how you've used these tools in past projects.
Prepare for the Interview: Be ready to discuss your understanding of machine learning principles and any relevant projects you've worked on. Think about how you can communicate complex data findings in a straightforward way, as this is crucial for the role.
How to prepare for a job interview at Intellect Group
✨Showcase Your Analytical Skills
Be prepared to discuss specific projects or coursework where you analyzed data. Highlight your ability to uncover trends and patterns, as this is crucial for the role.
✨Demonstrate Proficiency in Python and SQL
Expect technical questions that assess your knowledge of Python and SQL. Brush up on data manipulation techniques and be ready to solve problems on the spot.
✨Familiarize Yourself with Machine Learning Concepts
Since the role involves model building, review key machine learning principles and predictive modeling techniques. Be ready to discuss any relevant experience or projects.
✨Prepare to Discuss Data Visualization
Think about how you've used data visualization tools like Tableau or Power BI in the past. Be ready to explain how you can effectively communicate insights to both technical and non-technical audiences.
