Data Scientist - SC Clear - Waterloo

Virtual Hire Staffing; Greater London; On-site; GBP 119,925 - 129,150; Full time

Job summary

Virtual Hire Staffing in London is seeking a Data Scientist / Senior Data Scientist / Solution Engineer for a 12-month contract based in Waterloo. The role focuses on deploying industrial-grade ML-enabled applications across key sectors for an Enterprise AI client.

The candidate should have a mix of data science and software engineering skills, including Python, JavaScript, Java, and experience deploying to cloud platforms.

Qualifications

• Experience designing and deploying ML algorithms and software solutions.
• Experience with time-series data and dynamical systems.
• Experience deploying software to cloud platforms (AWS, GCP, or Azure) and using Git.
• Industry domain knowledge in Financial Services, Aerospace, Industrial Manufacturing, Healthcare, or Supply Chain is desirable.

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.

Skills

Python

JavaScript

Java

Time-series data

Cloud deployment

Git

Tools

AWS

GCP

Azure

React

Redux

Vue

Angular

Job description

Job Summary

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

12-Month Contract - London, Waterloo - £650 - £700 pd

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.).