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Data Scientist/Senior Data Scientist/Solution Engineer - SC Cleared

Simon James I.T. LtdLondon🇬🇧United KingdomPosted 20 Jul 2026

Why This Role Stands Out

This contract role offers a unique opportunity to develop and deploy cutting-edge enterprise AI applications, leveraging your expertise in machine learning and software engineering. You'll thrive here if you possess a strong blend of Python, JavaScript, and cloud deployment skills, with a passion for creating scalable, industrial-grade solutions. Apply now to contribute to impactful projects within a dynamic technological landscape.

Quick Overview

Work Type
On Site
Schedule
Temporary/Casual
Level
Mid Senior

Job Description

Data Scientist/Senior Data Scientist/Solution Engineer - SC Cleared

12-Month Contract - London, Waterloo - Onsite

.SC Cleared - Must have active transferable SC Clearance*

About the Role

We are looking for a highly skilled Data Scientist, Senior Data Scientist, or Solution Engineer for a 12-month contract based in Waterloo, London. This role sits at the intersection of advanced machine learning and robust software engineering, focusing on deploying industrial-grade applications (such as fraud detection and predictive maintenance) across key sectors for an Enterprise AI client.

Key Responsibilities

  • Design, build, and deploy scalable machine learning algorithms and software solutions.
  • Analyse, cleanse, and normalise complex time-series data and dynamical systems.
  • Integrate ML models into production using cloud platforms and modern JavaScript frameworks.
  • Collaborate within an Agile environment to deliver robust data structures and algorithms.

What We Are Looking For

To be successful in this role, you will need a blend of the following engineering and data science capabilities:

  • Core Development: Proficiency in Python, JavaScript, and Java, alongside modern frameworks (React, Redux, Vue, or Angular).
  • Data Science & ML: Solid understanding of common ML techniques, trade-offs, and scalable ML architecture (MapReduce, streaming).
  • Data Expertise: Experience with time-series data, dynamical systems, and both SQL and NoSQL databases.
  • Cloud & DevOps: Proven experience deploying software to AWS, GCP, or Azure, utilizing Git for version control.
  • Industry Experience: Domain expertise in sectors such as Financial Services, Aerospace, Industrial Manufacturing, Healthcare, or Supply Chain is highly desirable.
  • Evidence of Capability: A strong portfolio of past projects (GitHub, published papers, etc.).

If you are a hybrid engineer/scientist who thrives on deploying real-world solutions, please apply with your CV and a link to your GitHub or portfolio.

Skills

GCP
SQL
AWS
Machine Learning
Agile
Angular
Azure
Git
Java
JavaScript
Python
React
Redux
Vue

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