Start Your Search Here

push notification bell

Would you like to receive notifications about IT & Technology jobs in Greater London?

push notification bell

You have blocked notifications

Oops! You have blocked notifications. Click here for more info

You have blocked notifications, please check your browser settings.

push notification bell

You're currently subscribed to job notifications

Want to change your notifications for job alerts?

push notification bell

Subscribe to notifications

You will no longer receive notifications

Job Search

Virtual Hire Staffing

Greater London / Global

Data Scientist - SC Clear - Waterloo

  • £650

Job Summary

Salary Range:
£650
Job Type:
Contract
Benefits:
Healthcare
Apply Now

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.).
#J-18808-Ljbffr
Apply Now

Similar Opportunities

View all jobs