Senior Data Scientist

ARM; Ringway; On-site; GBP 90,000 - 120,000; Full time

Job summary

ARM is seeking an experienced Senior Data Scientist to deliver AI, ML and data science solutions for major financial services clients. You will help shape AI strategy and lead technical delivery within a client-facing environment.

You will mentor data scientists, deploy production-grade models and engage with senior stakeholders to drive business outcomes. The role requires strong technical skills in Python/SQL, cloud platforms and Agile delivery, with preference for consulting or financial

Qualifications

• Strong coding in Python and SQL with data manipulation using Pandas.
• Hands-on experience with ML/DL methods, model validation and deployment.
• Exposure to cloud data platforms and large-scale data environments.
• Familiarity with LLMs, evaluation frameworks, prompt engineering and RAG architectures is a plus.
• Experience leading teams and delivering in Agile environments, preferably in financial services consulting.

Responsibilities

• Deliver AI and machine learning solutions using modern data science techniques.
• Lead technical design and architecture discussions.
• Manage and mentor small teams of Data Scientists.
• Develop and deploy production-grade machine learning models.
• Engage with senior stakeholders and contribute to business development initiatives.
• Provide thought leadership through industry engagement and innovation.

Skills

Python

SQL

Pandas

Scikit-Learn

Spark

LLMs

Prompt Engineering

RAG

Cloud platforms

Agile delivery

Leadership

Financial services experience

Job description

A leading financial consultancy is seeking an experienced Senior Data Scientist to deliver AI, Machine Learning and Data Science solutions for major financial services clients. This is an excellent opportunity to lead technical delivery, shape AI strategy and work on cutting-edge technologies within a client-facing environment.

Key Responsibilities

• Deliver AI and machine learning solutions using modern data science techniques.
• Lead technical design and architecture discussions.
• Manage and mentor small teams of Data Scientists.
• Develop and deploy production-grade machine learning models.
• Engage with senior stakeholders and contribute to business development initiatives.
• Provide thought leadership through industry engagement and innovation.

Requirements

• Strong Python, SQL, Pandas, Scikit-Learn and Spark experience.
• Experience delivering real-world AI and machine learning systems.
• Understanding of statistics and machine learning methodologies.
• Experience with cloud platforms and large-scale data environments.
• Knowledge of LLMs, evaluation frameworks, prompt engineering and RAG architectures is advantageous.
• Strong leadership, stakeholder management and Agile delivery experience.
• Previous consulting or financial services experience preferred.

Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.