Hybrid Data Scientist: Predictive Analytics & Insights

Michael Page; Leeds; Hybrid; GBP 40,000 - 48,000; Full time

Job summary

Michael Page in Leeds is seeking a Data Scientist to support strategic use of data within the business. You will analyse large datasets, develop predictive models, and collaborate with stakeholders to deliver data-driven solutions.

The role is permanent with a hybrid working pattern. A competitive salary of £40,000 to £48,000 is offered, with a benefits package to be confirmed, and opportunities to contribute to analytics initiatives across the group.

Qualifications

• Experience with data analysis, modelling, and visualisation tools.
• Programming with Python, R or SQL.
• Ability to communicate complex data insights clearly.
• Experience producing reports for stakeholders.
• Knowledge of GIS tools.
• Understanding of statistics and machine learning methods.
• Attention to detail and data accuracy.
• Strong analytical and problem-solving skills.

Responsibilities

• Analyse large datasets to identify trends and insights.
• Develop predictive models and algorithms.
• Collaborate with stakeholders on data requirements.
• Present findings to non-technical audiences.
• Support data pipelines and infrastructure.
• Validate and optimise data models.
• Stay updated on data science trends.
• Work with analytics team to meet objectives.

Skills

Analytical thinking

Data analysis

Visualization tools

Python/R/SQL

Communication of insights

GIS tools

Statistics & ML

Attention to detail

Team communication

Tools

Python

R

SQL

GIS tools

Data visualization tools

Job description

Michael Page in Leeds is seeking a Data Scientist to support strategic use of data within the business. You will analyse large datasets, develop predictive models, and collaborate with stakeholders to deliver data-driven solutions.

The role is permanent with a hybrid working pattern. A competitive salary of £40,000 to £48,000 is offered, with a benefits package to be confirmed, and opportunities to contribute to analytics initiatives across the group.