Junior Data Scientist

Intellect Group; Greater London; Hybrid; GBP 30,000 - 50,000

Job description

This range is provided by Intellect Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Intellect Group

Ex PwC | Data Recruiter at Intellect Group

Junior Data Scientist - FinTech

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

1. Data Science & Modelling: Work with complex financial datasets to extract insights, optimise risk models, and improve trading strategies.
2. Machine Learning Development: Design and implement predictive models for fraud detection, credit scoring, and algorithmic trading.
3. Data Visualisation & Reporting: Build dashboards and reports to communicate insights to both technical and non-technical stakeholders.
4. Collaboration: Work alongside risk, product, and engineering teams to develop data-driven financial solutions.
5. 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.
• 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.

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.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Analyst, Science, and Other
• Industries: Data Infrastructure and Analytics, Technology, Information and Media, and IT Services and IT Consulting