Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyze financial data, support predictive modeling, and develop data-driven solutions.
- Company: Join a revolutionary financial services company impacting over 200,000 businesses in the UK and Europe.
- Benefits: Enjoy a hybrid work model with a competitive salary ranging from £30k-£45k.
- Why this job: Be part of a dynamic team driving impactful business decisions through data analysis and collaboration.
- Qualifications: Eager to apply analytical skills; experience with data science and machine learning is a plus.
- Other info: Opportunity to work in a vibrant London location with a focus on innovation.
The predicted salary is between 24000 - 36000 £ per year.
Role: Junior Data Scientist Location: London, UK (Hybrid) Salary: £30k-£45k (DOE) Are you passionate about data and finance? Join a revolutionary financial services company in the heart of London, where you’ll help over 200,000 businesses across the UK and Europe navigate challenges and boost profitability. My client is looking for a Junior Data Scientist eager to apply their analytical and modeling skills to provide insight and drive impactful business decisions. Your Responsibilities: Analyse complex datasets : Work with large volumes of financial data to identify trends, patterns, and insights that drive strategic decisions. Support predictive modeling : Collaborate on the development of machine learning models to forecast financial outcomes and optimise business processes. Develop data-driven solutions : Create algorithms and tools that automate and enhance decision-making across the company. Collaborate with cross-functional teams : Work closely with finance, product, and technology teams to align data science initiatives with business goals. Visualise data insights : Build and maintain interactive dashboards and visualisations that provide clear, actionable insights for stakeholders. Requirements: Bachelor’s degree in a STEM field : Preferred disciplines include Statistics, Mathematics, Computer Science, Engineering, or related fields. Proficiency in programming languages : Experience with Python and SQL for data analysis, manipulation, and modeling. Basic understanding of machine learning : Familiarity with predictive modeling techniques and algorithms, in particular NLP , LLM’s and Time Series Forecasting. Experience with data visualization tools : Knowledge of tools like Tableau/Power BI , or similar to present data effectively. Strong analytical skills : Ability to interpret complex data and communicate findings clearly to both technical and non-technical audiences. It’s A Bonus If You Have: Experience in finance : Prior exposure to financial data or working in a financial services environment is a plus. Curiosity and drive : A passion for learning and staying updated with the latest trends in data science and finance. Problem-solving mindset : Ability to think critically and approach challenges with innovative solutions. The Benefits: Growth opportunities : Be part of a fast-growing company with ample opportunities for career advancement. Innovative work environment : Work with a team that values creativity, collaboration, and continuous learning. Cutting-edge tools and technologies : Access to the latest data science tools to help you excel in your role. Competitive compensation : A salary that reflects your skills and experience, along with performance-based bonuses. If you’re a motivated Junior Data Scientist with a passion for finance and data-driven decision-making, we want to hear from you. Apply now to join our team and be part of shaping the future of the finance industry.
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 specific financial datasets and tools commonly used in the industry. Understanding the nuances of financial data will give you an edge when discussing your analytical skills during interviews.
✨Tip Number 2
Showcase any relevant projects or experiences where you've applied machine learning techniques. Be prepared to discuss how these experiences can translate into the role of a Junior Data Scientist at our company.
✨Tip Number 3
Network with professionals in the finance and data science fields. Attend meetups or webinars to connect with others who work in similar roles, as they can provide valuable insights and potentially refer you to opportunities.
✨Tip Number 4
Prepare to discuss how you would approach collaboration with cross-functional teams. Highlight your communication skills and ability to translate complex data insights into actionable strategies that align with business goals.
We think you need these skills to ace Junior Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Junior Data Scientist position. Understand the key responsibilities and required skills, such as data analysis, predictive modeling, and collaboration with cross-functional teams.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize any projects or coursework related to data analysis, machine learning, and financial data.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and finance. Explain why you are interested in this specific role and how your background makes you a great fit for the company.
Highlight Technical Skills: In your application, be sure to mention any technical skills relevant to the position, such as programming languages (e.g., Python, R), data visualization tools, and experience with machine learning frameworks.
How to prepare for a job interview at Intellect Group
✨Show Your Passion for Data
Make sure to express your enthusiasm for data and finance during the interview. Share specific examples of projects or experiences where you analyzed complex datasets and how it impacted decision-making.
✨Demonstrate Your Analytical Skills
Be prepared to discuss your analytical and modeling skills in detail. Highlight any experience you have with predictive modeling or machine learning, and be ready to explain your thought process behind developing algorithms.
✨Collaborate Effectively
Since the role involves working with cross-functional teams, emphasize your ability to collaborate. Share examples of how you've worked with different departments in the past and how you aligned your data science initiatives with their goals.
✨Visualisation is Key
Discuss your experience with data visualization tools and techniques. Be ready to showcase any dashboards or visualizations you've created that provided actionable insights, as this will demonstrate your ability to communicate complex data effectively.
