At a Glance
- Tasks: Build and deploy machine learning models to drive data-driven decisions.
- Company: Leading Financial Services organisation known for analytics expertise.
- Benefits: Competitive salary, standard benefits, and career progression opportunities.
- Other info: Work in a structured environment with real-world applications and growth potential.
- Why this job: Join a dynamic team in London and make an impact with innovative solutions.
- Qualifications: Experience in data science, strong Python skills, and familiarity with NLP.
This is an exciting opportunity for a Data Science professional to join a leading Analytics department within the Financial Services industry. Based in London, you will play a key role in driving data-driven decision-making and developing innovative solutions.
The company is a well-established organisation within the Financial Services sector, known for its robust expertise in analytics and data-driven insights. As a large organisation, it offers a structured and professional environment with opportunities to work on impactful projects.
Build and deploy machine learning models used in real-world applications.
- Work with both structured data and text (NLP) to generate insights.
- Design and maintain data pipelines and production-ready systems.
- Apply statistical methods to evaluate models and ensure reliability.
- Collaborate with domain experts to solve complex analytical problems.
- Communicate findings clearly to both technical and non-technical stakeholders.
A successful Data Science professional should have:
- Hands-on and practical experience building models, and making them usable.
- Ability to think quantitatively and statistically, not just in terms of tools.
- Comfortable working across data, models, and production systems.
- Ability to clearly explain your work and translate complex ideas into simple insights.
- Strong Python skills, with the ability to write clean, production-quality code.
- Solid grounding in statistics (not just surface-level understanding).
- Experience with machine learning, including classical models and some modern NLP approaches.
- Experience building models that are actually used in production.
- Comfortable working with real-world, messy datasets.
- Familiarity with data pipelines, deployment, and maintaining ML systems.
- Experience with NLP / text modelling (e.g. classification, embeddings, transformers).
- Exposure to finance, economics, or risk-related data.
Competitive salary ranging from £75,000 to £90,000 per year + Company benefits. Standard benefits package to support your professional and personal growth. Permanent role offering stability and career progression opportunities. An opportunity to work in the heart of London within the Financial Services industry. Be part of a well-established organisation with a focus on analytics and innovation.
If you are a motivated Data Science professional looking to advance your career in London, we encourage you to apply for this exciting opportunity.
Data Scientist - London in City of London employer: Michael Page
Join a leading organisation in the Financial Services sector, where you will thrive in a structured and professional environment that champions data-driven decision-making. With a competitive salary and a comprehensive benefits package, this role offers not only stability but also significant opportunities for career progression and personal growth. Located in the heart of London, you will be part of a dynamic team focused on innovation and impactful analytics, making it an excellent place for motivated Data Science professionals to advance their careers.
