Senior Data Scientist

Anson McCade; Greater London; On-site; GBP 59,000 - 72,000; Full time

Job summary

Anson McCade is seeking a Senior Data Scientist to lead AI initiatives onsite in Central London, supporting government and national security clients. The role combines hands-on ML delivery with stakeholder engagement and thought leadership on robust, ethical data science practices.

You will deploy models in AWS, mentor junior data scientists and contribute to high-impact analytics and bespoke AI solutions across diverse data types.

Qualifications

• Degree in quantitative or scientific discipline (BSc, MSc or PhD).
• Several years of experience as a Data Scientist or in a closely related role.
• Expert knowledge of ML, AI and statistics across domains (NLP, CV, audio, graphs, time-series, tabular).
• Strong Python skills with pandas/NumPy/scikit-learn/PyTorch/Transformers/statsmodels/PyMC.
• Understanding of ML engineering and best practices (version control, packaging, deployment).
• Experience deploying models in cloud platforms, especially AWS.
• Ability to communicate complex ideas to technical and non-technical audiences.
• Commitment to high-quality, ethical, robust scientific work; awareness of privacy/security policy in AI.
• Hands-on experience with AWS services (Lambda, ECS, S3, SageMaker/Bedrock) preferred.
• Knowledge of ML engineering and MLOps (Docker, MLflow).
• Experience in government/defence or regulated environments preferred.
• Experience applying LLMs to real-world problems; UK Security Clearance eligible.

Responsibilities

• Act as senior technical authority for AI and data science across projects and bids.
• Lead and deliver complex ML/AI projects with ML engineers and delivery teams.
• Engage with users to define requirements and AI use cases; plan delivery.
• Support model design, development and deployment within AWS environments.
• Contribute to proposals and bid responses with relevant literature.
• Present technical findings to internal teams and external stakeholders.
• Mentor junior data scientists and graduates; support capability growth.
• Promote AI knowledge across teams via blogs, events and conferences.
• Work across government and national security clients in defence, space and public sector.
• Apply advanced AI/ML methods to diverse data types (text, images, audio, video, graphs, time-series, geospatial).

Skills

Python

Machine Learning

AWS

Pandas/NumPy

PyTorch

Transformers

MLflow

MLOps

Communication

ML deployment

Education

Degree in quantitative/scientific discipline

Tools

AWS Lambda

AWS ECS

AWS S3

AWS SageMaker

Bedrock

Docker

MLflow

Job description

Salary: £30,000 - 60,000 per year

Requirements:

• We require a degree (BSc, MSc or PhD) in a quantitative or scientific discipline such as computer science, mathematics, physics or engineering.
• We require several years experience working as a Data Scientist or in a closely related role.
• We require expert knowledge of machine learning, AI and statistical methods, applied across domains such as NLP, computer vision, audio, graphs, time-series or tabular data.
• We require strong Python skills and experience with common libraries such as pandas, NumPy, scikit-learn, PyTorch, Transformers, statsmodels and PyMC.
• We require understanding of software engineering and ML best practices, including version control, packaging and model deployment.
• We require experience training and deploying models using cloud platforms, particularly AWS.
• We require the ability to communicate complex ideas clearly to both technical and non-technical audiences.
• We require commitment to high-quality, ethical and robust scientific work.
• We require awareness of ethical, privacy, security and policy considerations in applied AI.
• We prefer hands‑on experience with AWS services such as Lambda, ECS, S3, SageMaker or Bedrock.
• We prefer knowledge of ML engineering and MLOps practices such as Docker and MLflow.
• We prefer experience working in government, defence or other highly regulated environments.
• We prefer proven application of large language models (LLMs) to real-world problems.
• We require UK Security Clearance, or eligibility and willingness to undergo the vetting process.

Responsibilities:

• We act as a senior technical authority for AI and data science, contributing expertise across projects, bids and stakeholder discussions.
• We lead and deliver complex machine learning and AI projects in collaboration with ML engineers, delivery teams and customers.
• We engage with users to define requirements, scope AI use cases and develop realistic delivery plans.
• We support the design, development and deployment of models within AWS cloud environments.
• We contribute to written proposals and bid responses, including research into relevant academic and industry literature.
• We present technical findings and insights to internal teams and external stakeholders.
• We mentor junior data scientists and graduates, supporting capability growth.
• We promote AI knowledge across multidisciplinary teams and represent the organisation through blogs, events and conferences.
• We work across a range of government and national security clients, spanning defence, space and public sector organisations.
• We apply advanced AI, machine learning and statistical techniques across diverse data types including text, images, audio, video, graphs, time-series and geospatial data.

Technologies:

• AI
• AWS
• Lambda
• Cloud
• Computer Vision
• Docker
• Support
• Machine Learning
• MLflow
• MLOps
• PyTorch
• Python
• Security
• numpy
• pandas

More:

We are offering an exciting permanent opportunity for an experienced Senior Data Scientist based onsite in Central London, Greater London, with a salary of 65,000 GBP. You will join our specialist AI and data science team supporting government and national security clients, delivering exploratory research, advanced analytics, bespoke AI solutions and large‑scale data platforms on complex and sensitive datasets. This role combines hands‑on technical delivery with customer engagement, thought leadership and mentoring, and provides the chance to contribute to high‑impact digital solutions that support the safety and security of the UK.

last updated 37 week of 2026