Senior Data Scientist & Data Engineer (ML/Pipelines)

RICARDO ENERGY & ENVIRONMENT; East Midlands; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A global strategic consulting company in the UK is seeking a skilled Data Scientist with data engineering capabilities to design and deploy advanced analytical solutions. The ideal candidate should have significant Python programming experience, expertise in machine learning, and the ability to work with large-scale datasets. This role offers opportunities to mentor team members and collaborate with cross-functional teams to drive data-driven decision-making. A commitment to quality and innovation is essential.

Benefits

Flexible work arrangements

Comprehensive benefits package

Support for physical and mental health

Qualifications

• Advanced understanding of Python programming and data engineering.
• Experience with machine learning models from development to deployment.
• Capability to create sophisticated data visualizations.

Responsibilities

• Build and deploy predictive models using Python-based libraries.
• Design data pipelines and work with big data technologies.
• Develop maintainable code and contribute to system architecture.

Skills

Python programming expertise

Statistical knowledge

Machine learning model development

Big data processing

Data visualization

Education

Degree in a quantitative field (Mathematics, Computer Science, Engineering, Economics, Data Science)

Tools

Python libraries (scikit-learn, TensorFlow, PyTorch)

Big data technologies (Spark, Hadoop, Dask)

Containerization tools (Docker, Kubernetes)

Data visualization tools (Matplotlib, Seaborn)

Infrastructure as Code tools (Terraform, Ansible)

Job description

A global strategic consulting company in the UK is seeking a skilled Data Scientist with data engineering capabilities to design and deploy advanced analytical solutions. The ideal candidate should have significant Python programming experience, expertise in machine learning, and the ability to work with large-scale datasets. This role offers opportunities to mentor team members and collaborate with cross-functional teams to drive data-driven decision-making. A commitment to quality and innovation is essential.