Wanted: Full-Stack Data Scientist: AI & Knowledge Systems

Wanted: Full-Stack Data Scientist: AI & Knowledge Systems

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
Synergetic

At a Glance

  • Tasks: Design and implement AI solutions while collaborating on scalable projects.
  • Company: Leading tech consulting firm in London with a focus on innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Exciting mid-senior level role with great career advancement potential.
  • Why this job: Join a dynamic team and shape the future of AI and knowledge systems.
  • Qualifications: Strong Python skills and experience with cloud platforms required.

The predicted salary is between 63000 - 77000 Β£ per year.

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. #J-18808-Ljbffr

Wanted: Full-Stack Data Scientist: AI & Knowledge Systems employer: Synergetic

At Synergetic, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel in their roles. Located in the vibrant city of Cambridge, we offer competitive benefits, continuous professional development opportunities, and the chance to work on cutting-edge projects in a supportive environment. Join us to be part of a team that values creativity and growth while making a significant impact in the field of observability and cloud architecture.

Synergetic

Contact Details:

Synergetic Recruitment Team

We think you need these skills to ace Wanted: Full-Stack Data Scientist: AI & Knowledge Systems

Data Science
Software Engineering
Machine Learning
Knowledge Graphs
Model Design
Collaboration
Scalable Solutions