Vice President, Data Model Developer

Jobtailor; Northampton; On-site; GBP 65,000 - 90,000; Full time

Job summary

Jobtailor is seeking a data science leader in the UK to design, implement, and govern statistical and machine learning models across enterprise data assets. You will clean and pre-process data, monitor model performance in real time, and advise senior stakeholders on strategic opportunities.

Collaborate with engineering and other teams to optimize workloads on AWS, Snowflake, and Databricks, ensuring cross-domain consistency and adherence to regulatory standards.

Qualifications

• Experience designing and governing enterprise‑grade data models.
• Defining modelling standards, metadata structures, and regulatory expectations.
• Driving modelling quality, versioning, and cross‑domain consistency at scale.

Responsibilities

• Design, develop, implement, and maintain various statistical and machine learning models
• Perform data cleaning and pre-processing tasks
• Monitor model performance in real-time to identify issues
• Advise key stakeholders on functional areas of impact and alignment
• Collaborate with other departments for business-aligned support

Skills

Statistical Modeling

Machine Learning

Data Cleaning

Data Pre-Processing

Model Performance Monitoring

Model Versioning

Modelling Standards Definition

Metadata Structure Design

Cross-Domain Consistency

Regulatory Compliance

Tools

AWS

Snowflake

Databricks

Job description

• Design, develop, implement, and maintain various statistical and machine learning models
• Perform data cleaning and pre-processing tasks
• Monitor model performance in real-time to identify issues
• Advise key stakeholders on functional areas of impact and alignment
• Collaborate with other departments for business-aligned support

Requirements

• Experience with leading the design and governance of enterprise‑grade data models
• Defining modelling standards, metadata structures, and regulatory expectations
• Driving modelling quality, versioning, and cross‑domain consistency at scale
• Partnering with engineering teams to optimise performance and guide workload placement across cloud platforms (AWS, Snowflake, Databricks)
• Influencing senior stakeholders across various teams to align on business rules and strategic priorities

Core Competencies

Demonstrates expertise in designing and implementing statistical and machine learning models while ensuring data governance and quality across enterprise‑grade data models. Collaborates effectively with stakeholders to align business strategies and optimize performance across cloud platforms.

Highest-signal resume keywords

• Statistical And Machine Learning Model Development
• Data Cleaning And Pre-Processing
• Enterprise-Grade Data Model Governance
• Cloud Platform Optimization (AWS, Snowflake, Databricks)
• Stakeholder Influence And Collaboration

ATS Optimization Keywords

Hard Skills

• Statistical Modeling
• Machine Learning
• Data Cleaning
• Data Pre-Processing
• Model Performance Monitoring
• Model Versioning
• Modelling Standards Definition
• Metadata Structure Design
• Cross-Domain Consistency
• Regulatory Compliance

Soft Skills

• Collaboration
• Advising
• Influencing

Tools & Technologies

• AWS
• Snowflake
• Databricks