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
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