Senior Data Scientist - Cyber Analytics & MLOps

AtkinsRéalis; West of England; Hybrid; GBP 65,000 - 95,000; Full time

Benefits offered by this job

Hybrid working

Professional development

Flexible holiday

Competitive salary

Job summary

AtkinsRéalis in the United Kingdom is seeking an experienced Data Scientist to join a collaborative team tackling engineering challenges with advanced analytics. You will design, develop and deploy ML and data-driven solutions across the data lifecycle in an Agile environment, working with Product Owners, Data Engineers and cyber specialists to deliver trusted data products.

The role offers flexible remote options, career development, and a competitive rewards package tailored to your skills and

Qualifications

• Strong Python and SQL skills with production-quality ML
• Experience handling large, complex datasets and model validation
• Practical experience with Git, Agile delivery and collaborative workflows
• Experience with distributed processing and MLOps tools such as Spark, PySpark, MLflow, JupyterHub

Responsibilities

• Design, develop and deploy ML and analytics solutions for operational challenges
• Explore large datasets to identify trends and actionable insights
• Develop production-quality Python/SQL code and ML workflows
• Collaborate with cross-functional teams to translate needs into data products

Skills

Python

SQL

Git

Spark

PySpark

MLflow

JupyterHub

MLOps

VS Code

Trino

Iceberg

Education

Data science degree

Tools

Trino

Iceberg

Job description

AtkinsRéalis in the United Kingdom is seeking an experienced Data Scientist to join a collaborative team tackling engineering challenges with advanced analytics. You will design, develop and deploy ML and data-driven solutions across the data lifecycle in an Agile environment, working with Product Owners, Data Engineers and cyber specialists to deliver trusted data products.

The role offers flexible remote options, career development, and a competitive rewards package tailored to your skills and