Senior Data Scientist

New Yesterday

Senior Data Scientist £50,000 to 60,000 GBP bonus Hybrid WORKING Location:

Central London, Greater London - United Kingdom

Type:

Permanent

Senior Data Scientist - London / Hybrid Up to £65,000 + DV Bonus | SC Eligible / DV Eligble Required | No Sponsorship

We are looking for a Senior Data Scientist to join a leading organisation delivering cutting-edge AI and machine learning solutions with real-world impact. You will work on diverse projects across national security and healthcare-related sectors, applying AI/ML techniques to solve complex challenges. This is a London-based role with hybrid working support.

Key Responsibilities:

Lead and contribute to AI and ML projects, working closely with engineers, project managers, and non-technical stakeholders. Act as a technical point of contact, sharing expertise in AI/ML methods across projects and bids. Scope, plan, and deliver AI solutions, including model development, deployment, and evaluation. Mentor junior team members and support their professional growth. Present results and insights to both technical and non-technical audiences. Contribute to internal knowledge-sharing and best practices in AI/ML. Requirements:

BSc, MSc, or PhD in a quantitative, scientific, or technical discipline (e.g., computer science, mathematics, physics). Strong expertise in AI, ML, and statistical methods, with experience across domains such as NLP, images, audio, graphs, time series, and tabular data. Several years' experience as a data scientist in industry or related environments. Proficiency in Python and common ML/data libraries (e.g., pandas, numpy, scikit-learn, PyTorch, transformers). Understanding of software and ML engineering best practices (git, package development, model deployment). Experience with cloud platforms, particularly AWS, for training and deploying models. Ability to communicate complex technical concepts to diverse audiences. Eligible for DV security clearance; sponsorship cannot be provided. Desirable:

Knowledge of AWS services (e.g., Lambda, ECS, Bedrock, S3, SageMaker). Experience with ML engineering and MLOps (e.g., Docker, MLflow). Experience in regulated industries or government-related projects. Applying LLMs or advanced AI methods to real-world problems. Benefits:

Competitive salary up to £65,000 plus DV clearance bonus. Hybrid working with flexibility around core hours. 25 days holiday plus buy/sell/carry over options. Pension scheme and other flexible benefits. Opportunity to work on high-impact AI/ML projects. Reference:

AMC-AQU-SDSB

Postcode:

EC2V 6AA

#adqu TPBN1_UKTJ
Apply
Location:
Gb
Job Type:
FullTime
Category:
Science

We found some similar jobs based on your search