Lead Data Scientist

Jobtailor; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Jobtailor in London is seeking a senior Data Scientist/Technical Lead to drive data science strategy and build scalable AI solutions. You will lead cross-functional teams, design production ML systems, and mentor engineers while shaping enterprise AI initiatives.

The role focuses on data analytics, predictive modelling, and implementable AI infrastructure within a large organisation. Applicants should demonstrate leadership, collaboration, and a track record of delivering measurable business

Qualifications

• Advanced Python development with data science libraries.
• Experience designing and deploying production ML solutions.
• Strong software engineering practices: testing, CI/CD, versioning.
• Proven leadership of complex data science projects.
• Mentoring technical staff and driving innovation.
• Experience with enterprise AI systems in large organisations.
• Ability to set long-term technical roadmaps and influence stakeholders.
• Experience with Generative AI and LLM architectures.
• Skills in advanced data science techniques like time series, causal inference, graph analytics.
• Excellent stakeholder communication and business impact translation.

Responsibilities

• Use data analytics and ML to extract insights from large data reserves.
• Build and maintain data pipelines for automated data acquisition and processing.
• Design and deploy predictive models to forecast outcomes and risks.
• Lead data science projects and set technical standards across teams.
• Collaborate with stakeholders to translate insights into business value.

Skills

Advanced Python Development

Machine Learning & AI

Technical Leadership

Generative AI & LLMs

Stakeholder Management

Data Analytics

Distributed Systems

People Leadership

Tools

NumPy

Pandas

scikit-learn

PyTorch

CI/CD

Version Control

Job description

• Use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves
• Identification, collection, extraction of data from various sources, including internal and external sources
• Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis
• Development and maintenance of efficient data pipelines for automated data acquisition and processing
• Design and conduct statistical and machine learning models to analyse patterns, trends, and relationships in the data
• Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities
• Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science

Requirements

• Advanced Python Development – Expert knowledge of Python and modern data science libraries including NumPy, Pandas, scikit-learn and PyTorch.
• Machine Learning & AI – Demonstrated experience designing, developing, deploying and monitoring production-grade machine learning solutions.
• Software Engineering Best Practices – Experience building modular, maintainable solutions using testing frameworks, Continuous Integration/ Continuous Deployment pipelines, version control and deployment automation.
• Technical Leadership – A proven ability of leading complex data science projects, defining technical standards and driving innovation across teams.
• People Leadership & Coaching – Experience leading, mentoring and developing technical professionals, creating an environment where individuals and teams can thrive.
• Enterprise AI Systems – Experience designing and implementing scalable, governed AI solutions within a large organisation.
• Strategic Leadership – Ability to define long-term technical roadmaps, influence senior stakeholders and lead transformational change.
• Generative AI & Large Language Models – Proven experience with Large Language Models, agentic AI solutions and modern AI architectures.
• Advanced Data Science Techniques – Experience applying specialised methods such as causal inference, time series forecasting, optimisation, graph analytics or deep learning.
• Stakeholder Management – Ability to translate complex technical concepts into clear business recommendations and influence decision-making at senior levels.

Core Competencies

Expertise in Advanced Python Development and Machine Learning, with a strong focus on building scalable AI solutions and leading data science projects. Proven ability to collaborate with stakeholders and translate complex data insights into actionable business strategies.

Highest-signal resume keywords

• Advanced Python Development
• Machine Learning & AI
• Technical Leadership
• Generative AI & Large Language Models
• Stakeholder Management

ATS Optimization Keywords

Hard Skills

• Data Analytics
• Data Cleaning
• Data Wrangling
• Predictive Modeling
• Statistical Analysis
• Causal Inference
• Time Series Forecasting
• Deep Learning
• Graph Analytics
• Optimisation

Soft Skills

• People Leadership
• Coaching
• Collaboration
• Influencing

Industry Keywords

• Enterprise AI Systems
• Data Science
• Automated Data Acquisition
• Data Pipelines
• AI Solutions

Tools & Technologies

• NumPy
• Pandas
• Scikit-learn
• PyTorch
• Continuous Integration
• Continuous Deployment
• Version Control