Senior Data Scientist / AI Engineer

JR United Kingdom; Wakefield; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

A leading company in the technology sector is looking for a Senior Data Scientist / AI Engineer. The role involves hybrid working and includes responsibilities related to machine learning, solution architecture, and leading teams. Candidates must possess strong technical expertise, excellent communication skills, and experience in deploying solutions on cloud platforms.

Qualifications

• Strong expertise in machine learning, GenAI, computer vision, and data science.
• Experience with data science platforms and frameworks.
• Leadership in technical teams and Agile practices.

Responsibilities

• Designing scalable solutions and collaborating with clients.
• Articulating solutions clearly and leading teams.
• Representing the company at conferences.

Skills

Machine Learning

GenAI

Computer Vision

Data Science

Solution Architecture

Software Engineering

Communication

Agile Methodologies

Tools

Databricks

Dataiku

AzureML

TensorFlow

PyTorch

AWS

Azure

Google Cloud

Terraform

Docker

Kubernetes

CI/CD tools

GitHub

Job description

Senior Data Scientist / AI Engineer

Hybrid working: The work location will vary between Company offices, client sites, and your home, but you cannot work at home 100% of the time.

Pre-employment checks include identity, nationality or immigration status, employment history for the past 3 years, and a criminal record check (Disclosure and Barring Service).

Your Role

Seeking individuals with strong expertise in machine learning, GenAI, computer vision, and data science, combined with solution architecture and software engineering skills. Responsibilities include designing scalable solutions, collaborating with clients, articulating solutions clearly, leading teams, and representing Capgemini at conferences.

Your Skills and Experience

• Proficiency in AI techniques such as supervised/unsupervised learning, GenAI, deep learning, graph analytics, NLP, and more.
• Excellent communication skills for client presentations and stakeholder management.
• Experience with data science platforms (e.g., Databricks, Dataiku, AzureML) and frameworks (e.g., TensorFlow, PyTorch).
• Experience deploying solutions on Cloud platforms (AWS, Azure, Google Cloud) and using provisioning tools like Terraform.
• Proficiency with deployment technologies such as Docker, Kubernetes, CI/CD tools, and GitHub.
• Experience leading technical teams, managing workloads, and practicing Agile methodologies.

Security Clearance

The role requires obtaining Developed Vetting (DV) clearance, which involves specific residency and background criteria within the UK.

The recruitment process will include questions about your security clearance eligibility, including country of residence and nationality. Some positions may be restricted to UK nationals for security reasons.