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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.
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.
🤖 Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading.
📊 Data Visualisation & Reporting: Build dashboards and reports to communicate insights to both technical and non-technical stakeholders.
🤝 Collaboration: Work alongside risk, product, and engineering teams to develop data-driven financial solutions.
🚀 Innovation & Research: Stay up to date with advancements in AI, ML, and fintech applications, applying them to real-world financial problems.
Skills & Experience Required
- An Undergraduate & Masters STEM degree (Mathematics, Statistics, Computer Science, Engineering, or related field) from a Russell Group university.
- Proficiency in Python and SQL for data manipulation, analysis, and model development.
- Solid understanding of machine learning concepts, including supervised and unsupervised learning.
- Experience working with financial datasets, such as market data, transactions, or alternative finance sources.
- Strong analytical and problem-solving skills, with the ability to communicate complex findings effectively.
Desirable Skills
- Experience with Large Language Models (LLMs), Natural Language Processing (NLP), and generative AI for financial applications.
- Familiarity with time series forecasting, anomaly detection, or deep learning techniques.
- Exposure to financial APIs such as Bloomberg, Refinitiv, or Open Banking.
- Experience with cloud platforms (AWS, GCP, or Azure) for model deployment.
- Understanding of big data technologies like Spark or Hadoop.
- Knowledge of algorithmic trading, credit risk modelling, or payment fraud detection.
Benefits
💰 Competitive Salary & Bonus: £35,000 – £45,000 plus performance-based incentives.
🏡 Hybrid Working: Flexible mix of office and remote work.
📈 Career Growth: Structured professional development, mentorship, and training opportunities.
🛠 Cutting-Edge Technology: Work with the latest tools in data science, AI, and fintech.
🤝 Collaborative Environment: Be part of a forward-thinking team shaping the future of financial technology.
✨ Additional Perks: Pension scheme, private healthcare, and wellbeing initiatives.
How to Apply
Apply now by submitting your CV and I’ll be in touch to arrange a convenient time with you to discuss the role and your career aspirations.
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.
