Data Scientist

Synergetic

London

On-site

GBP 60,000 - 120,000

Full time

14 days+

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Job summary

A leading technology consulting firm in London is seeking a Full Stack Data Scientist to develop and implement AI solutions. The ideal candidate will combine data science with software engineering capabilities, focusing on machine learning and knowledge graphs. Responsibilities include designing advanced models and collaborating with teams on scalable solutions. Strong skills in Python and cloud platforms are essential for this mid-senior level position.

Qualifications

5+ years of experience in combining data science with software engineering.
Strong programming skills in Python and related libraries.
Experience developing and implementing machine learning models.

Responsibilities

Design and implement advanced machine learning models.
Collaborate with backend engineers on data pipelines.
Translate business requirements into technical specifications.

Skills

Data science and software engineering

Machine learning expertise

Causal ML and probabilistic modelling

Knowledge graphs

AI solution scaling

Python programming

Cloud platforms (Azure)

Tools

Microsoft Azure

Kubernetes

Job description

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

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