Hybrid Data Scientist: Advanced Analytics & ML for Clients

Huron Consulting Group; Belfast; Hybrid; GBP 45,000 - GBP 65,000; Full time

Job summary

A global consultancy firm is seeking a Data Scientist in Belfast to join their team. This hybrid role involves conducting advanced analytics and building predictive models that transform decision-making for Fortune 500 companies. The successful candidate will perform end-to-end data science workflows, develop impactful models, and communicate complex insights to stakeholders. Candidates should have at least 2 years of relevant experience in data science, strong proficiency in Python and SQL, and a solid foundation in statistics and machine learning.

Benefits

Professional development opportunities

Hybrid working model

Collaboration with skilled professionals

Qualifications

• 2+ years of hands-on experience in data science.
• Strong programming skills in Python and SQL.
• Solid understanding of statistics and machine learning principles.
• Experience with deep learning and modern neural networks.

Responsibilities

• Design and execute end-to-end data science workflows.
• Develop advanced analytical models to drive business decisions.
• Translate complex findings into actionable insights for clients.
• Collaborate with clients and team members on analytical projects.

Skills

Python programming

SQL programming

Statistical analysis

Machine learning

Data visualization

Data storytelling

Deep learning frameworks

Education

Bachelor's degree in Statistics, Mathematics, Economics, or Computer Science

Tools

Pandas

NumPy

Scikit-learn

Microsoft Fabric

Snowflake

Databricks

Plotly

PyTorch

TensorFlow

Job description

A global consultancy firm is seeking a Data Scientist in Belfast to join their team. This hybrid role involves conducting advanced analytics and building predictive models that transform decision-making for Fortune 500 companies. The successful candidate will perform end-to-end data science workflows, develop impactful models, and communicate complex insights to stakeholders. Candidates should have at least 2 years of relevant experience in data science, strong proficiency in Python and SQL, and a solid foundation in statistics and machine learning.