Job Board

Companies

Synergetic

Data Scientist

London Full-Time 36000 - 60000 £ / year (est.) No home office possible

Apply now

At a Glance

Tasks: Design and implement cutting-edge AI solutions while collaborating with cross-functional teams.
Company: Join an innovative team at the forefront of AI and data science.
Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
Other info: Dynamic environment with excellent career advancement opportunities.
Why this job: Make a real impact by transforming concepts into scalable AI-powered products.
Qualifications: Strong background in data science, machine learning, and software engineering required.

The predicted salary is between 36000 - 60000 £ per year.

This range is provided by Synergetic . Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Synergetic

Working with great companies to find great people

Full Stack Data Scientist – AI & Knowledge Systems

About the Role

We are seeking an exceptional Full Stack Data Scientist to join our clients innovation team. This role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products.

We are looking for candidates that can combine technical expertise with a true consulting approach.

Responsibilities

Design, develop, and implement advanced machine learning models and AI capabilities
Build and maintain knowledge graphs and causal inference systems
Create probabilistic models to address complex business problems
Scale AI solutions from proof-of-concept to MVP and full production
Collaborate with backend engineers on data pipelines and infrastructure
Work within solution architecture frameworks to ensure AI integration
Contribute to solution design and technical decision-making
Translate business requirements into technical specifications

Required Skills & Experience

Great experience combining data science with software engineering
Strong expertise in machine learning, with focus on causal ML and probabilistic modelling
Experience developing and implementing knowledge graphs
Proficiency in scaling AI solutions from concept to production
Working knowledge of backend systems, data pipelines, and ETL processes
Familiarity with cloud platforms, particularly Microsoft Azure
Understanding of microservices architecture and distributed systems
Experience with DevOps practices for AI/ML workflows (MLOps)
Strong programming skills in Python and related data science libraries
Demonstrated ability to work within solution architecture frameworks

Preferred Qualifications

Experience with multiple cloud providers beyond Azure
Familiarity with container orchestration (Kubernetes)
Knowledge of graph databases and query languages
Experience with deep learning frameworks
Background in NLP, computer vision, or reinforcement learning
Domain expertise across industries but familiar with Financial Services, Healthcare and Lifesciences, Industrials and Telecommunications and infrastructure would be a plus

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Consulting
Industries

IT Services and IT Consulting

Referrals increase your chances of interviewing at Synergetic by 2x

Get notified about new Data Scientist jobs in London Area, United Kingdom.

London, England, United Kingdom 20 hours ago