Data Scientist II (TBH5177)

PDI Technologies; England; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

PDI Technologies is seeking a Data Scientist II to leverage analytical skills and programming expertise. The successful candidate will analyze complex datasets, develop predictive models, and collaborate with cross-functional teams, contributing to scalable solutions in a supportive and diverse environment. This position offers opportunities for professional growth and work-life balance.

Benefits

Competitive salary

Comprehensive benefits

Quarterly perks program

Ample time off

Hybrid working options

Continuous learning and certifications

Qualifications

• At least 2 years of experience in data science or analytics roles.
• Proven experience in building machine learning models and predictive analytics.
• Experience designing experiments to solve business problems.

Responsibilities

• Analyze large, complex datasets to identify trends and actionable insights.
• Develop, implement, and optimize machine learning models.
• Collaborate with data engineering teams for data quality and accessibility.

Skills

Data analysis

Machine learning

Statistical analysis

Problem-solving

Communication

Education

Bachelor's degree in data science, Statistics, Mathematics, or related field

Tools

Python

R

SQL

Data visualization tools

AWS

Job description

At PDI Technologies, we empower some of the world's leading convenience retail and petroleum brands with cutting-edge technology solutions that drive growth and operational efficiency.

By "Connecting Convenience" across the globe, we enable businesses to increase productivity, make more informed decisions, and engage faster with customers through loyalty programs, shopper insights, and real-time market intelligence via mobile applications like GasBuddy. We are a global team committed to excellence, collaboration, and making a real impact. Explore our opportunities and join a company that values diversity, integrity, and growth.

Role Overview

We are seeking a skilled and motivated Data Scientist II to join our team. You will leverage your analytical skills and programming expertise to extract insights from complex datasets, develop predictive models, and support decision-making for our diverse customers. As a mid-level contributor, you will work on various data-driven projects, collaborate with cross-functional teams, and help implement scalable solutions.

Key Responsibilities

• Data Analysis & Modelling:
• Analyze large, complex datasets to identify trends, patterns, and actionable insights.
• Develop, implement, and optimize machine learning models to solve business problems.
• Conduct A/B testing and experimental analysis to validate hypotheses.
• Data Management & Engineering:
• Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency.
• Design and develop ETL pipelines and workflows for data pre-processing.
• Develop automated tests to validate processes and models.
• Collaboration & Communication:
• Work with stakeholders to define project goals, requirements, and deliverables.
• Participate in design meetings to shape team solutions.
• Present findings and recommendations to both technical and non-technical audiences.
• Acquire domain knowledge to inform modelling opportunities and feature creation.
• Technical Leadership:
• Mentor junior data scientists and review modelling projects.
• Stay updated with industry trends, tools, and best practices to improve team capabilities.

Qualifications

• Bachelor's degree in data science, Statistics, Mathematics, or related field.
• At least 2 years of experience in data science or analytics roles.
• Proven experience in building machine learning models, statistical analysis, and predictive analytics.
• Experience designing experiments or modelling approaches to solve business problems.

Preferred Qualifications

• Proficiency in Python or R; knowledge of R is advantageous.
• Experience with SQL and relational databases.
• Proficiency with data visualization tools and techniques.
• Experience with AWS is a plus.
• Strong problem-solving and critical-thinking skills.
• Excellent communication and presentation abilities.
• Ability to manage multiple projects and prioritize effectively.

PDI is committed to offering a comprehensive benefits program, including competitive salary, benefits, and a quarterly perks program. We promote work-life balance with ample time off and hybrid working options where suitable. Employees have access to continuous learning, certifications, and leadership development. Our culture fosters diversity, inclusion, and values authenticity, trust, curiosity, and diverse perspectives, creating a supportive environment for all.