Data Scientist - Predictive Analytics & GIS (Hybrid)

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

Benefits offered by this job

Hybrid work model

Benefits package (to be confirmed)

Job summary

Michael Page in Leeds is seeking a Data Scientist to analyse data and build models to support strategic decisions. The role focuses on turning data into actionable insights and working with a cross-functional analytics team.

The candidate will use Python, SQL, and GIS tools to develop predictive models, report findings to stakeholders, and maintain data pipelines in a hybrid, permanent position with a salary of £40,000–£48,000.

Qualifications

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

Responsibilities

• Analyse large datasets to identify trends and actionable insights.
• Develop predictive models and algorithms to solve business challenges.
• Collaborate with stakeholders to understand data requirements and deliver solutions.
• Present findings clearly to non-technical audiences.
• Support the development and maintenance of data pipelines and infrastructure.
• Validate and optimise data models for accuracy and reliability.
• Stay updated on industry trends and advancements in data science techniques.
• Work as part of a collaborative analytics team to meet business objectives.

Skills

Analytical skills

Data analysis

Modelling

Data visualisation

Python

R

SQL

Communication

Reporting

GIS

Statistics

Machine learning

Attention to detail

Data accuracy

Tools

GIS

Python

SQL

R

Job description

Michael Page in Leeds is seeking a Data Scientist to analyse data and build models to support strategic decisions. The role focuses on turning data into actionable insights and working with a cross-functional analytics team.

The candidate will use Python, SQL, and GIS tools to develop predictive models, report findings to stakeholders, and maintain data pipelines in a hybrid, permanent position with a salary of £40,000–£48,000.