Data Scientist

Synergetic; Greater London; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

An innovative firm is seeking a skilled Full Stack Data Scientist to join their dynamic team. This role is perfect for someone who thrives in fast-paced environments and is adept at blending data science with software engineering. You'll be responsible for designing and implementing advanced AI solutions, collaborating with cross-functional teams, and transforming concepts into scalable products. If you're passionate about leveraging cutting-edge technology to solve complex business problems, this opportunity is ideal for you.

Qualifications

• Experience in developing and implementing machine learning models.
• Strong programming skills in Python and related libraries.

Responsibilities

• Design and implement advanced machine learning models.
• Collaborate with backend engineers on data pipelines.

Skills

Machine Learning

Data Science

Python

Cloud Platforms

Probabilistic Modelling

Knowledge Graphs

ETL Processes

DevOps Practices

Microservices Architecture

Tools

Microsoft Azure

Kubernetes

Job description

Direct message the job poster from Synergetic

Hiring the best Software Engineers across London

Full Stack Data Scientist - AI & Knowledge Systems

3-6 month contract

Hybrid (2-3 days per week in London)

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.

Candidates should be adaptable and able to thrive in fast paced environments. Being ok with ambiguity and strong communications skills are must.

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

• Extensive 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

Other preferred skills

• 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

  Contract

Job function

• Job function

  Information Technology and Consulting

• Industries

  IT Services and IT Consulting and Business Consulting and Services

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