RM Data Science Analytics Engineer

Hertz; Uxbridge; On-site; GBP 45,000 - 70,000; Full time

Job summary

A leading company in vehicle rentals is seeking a Data Science Analytics Engineer to enhance data utilization and insights. You will develop models and tools, manage data systems, and collaborate with teams to generate actionable insights, driving revenue growth and performance across Corporate Europe.

Benefits

Up to 40% discount on Hertz rentals

Paid Time Off

Employee Assistance Programme

Qualifications

• Experience with designing database systems and data lakes.
• Proficiency in SQL, Python, and data science tools.
• Strong analytical skills and critical thinking.

Responsibilities

• Oversee training and competency development in the data science department.
• Build and manage data tables and support analytics processes.
• Lead the development of insights and data science capabilities.

Skills

Problem-solving

Statistical modeling

Data visualization

Data exploration

Pattern recognition

Education

Degree in a quantitative field (e.g., Statistics, Data Science)

Graduate degree preferred

Tools

SQL Server

Apache Spark

Python

Teradata

Databricks

Job description

RM Data Science Analytics Engineer (26464) Uxbridge, England

The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 locations worldwide. Hertz is one of the largest airport general use vehicle rental companies, recognized globally.

The Data Science Analyst is responsible for developing applications, tools, and models that generate actions and insights from Hertz’s observational data. Collaborating with management, analytics, and the data science team, the analyst will build descriptive, predictive, and prescriptive models to maximize profit and maintain a competitive edge.

What You’ll Do:

1. Oversee training and competency development within the data science department, establishing best practices and standards. Initiate programs to improve departmental performance, revenue growth, and achievement of business targets.
2. Build and manage data tables supporting data collection, integration, visualization, dashboards, predictive analytics, and data mining.
3. Utilize data science tools and techniques to analyze large datasets, developing models and algorithms to uncover insights, trends, and patterns for informed decision-making.
4. Create data science platforms for testing advanced analytics, behavioral modeling, and churn prediction to generate revenue.
5. Design and architect data processing pipelines, driving data collection and refinement of existing data sources.
6. Lead the development of new insights, modeling techniques, and data science capabilities within the department.
7. Mentor data scientists and analysts in best practices for data preparation, analysis, coding, and modeling.

What We’re Looking For:

Educational Background:

• Degree in a quantitative field such as Statistics, Data Science, Operations Research, Industrial Engineering, Actuarial Science, Mathematics, or Economics.
• Graduate degree preferred but not required if experience is sufficient.

Required Experience:

• Designing relational database systems and data lakes/meshes.
• Pattern recognition, statistical modeling, data exploration, visualization, and mining.
• Experience with SQL Server, Teradata, Cloud (AWS), Databricks, Delta Lakes.
• Proficiency in MS SQL Server, Apache Spark, SQL (T-SQL, Spark SQL), Python, and PySpark.
• Strong problem-solving skills and critical thinking with a proven record of diagnosing and solving complex problems.

What You’ll Strive For:

• Design and build high-performance, reliable data pipelines supporting analytics and data science for Corporate Europe.
• Lead the development of new insights, advanced models, and data science capabilities.

What You’ll Get:

• Up to 40% discount on Hertz rentals in any corporate country.
• Paid Time Off.
• Employee Assistance Programme for employees and their families.