Advanced Data Analytics

Overview

As a Data Science consultant at PA, you apply advanced analytics and mathematical modelling to empower data-driven decisions. You collaborate with product, design, and cross-disciplinary teams to deliver scalable software solutions for public and private sectors. You’ll tackle diverse problems, work in agile settings, and contribute to internal initiatives as well as client projects. This role offers hybrid work, growth on a technical career track, and a culture that values learning and curiosity. You’ll help shape data-centric outcomes that matter across sectors.

Pay / Benefits

• private healthcare for you and family
• 25 days annual leave (+ 0.5 day on Christmas Eve)
• generous pension
• community and charity initiatives
• annual performance-based bonus
• PA share ownership

• Translate business needs into analytical approaches and solutions for clients
• Design, develop, and deploy analytics models across the full lifecycle (problem formulation to handover)
• Collaborate cross-functionally with multiple teams and stakeholders in agile projects
• Engage in problem-solving sessions (whiteboard) and remote collaboration to solve client challenges
• Work on internal projects while delivering client-facing analytics and solutions
• Present findings to both technical and non-technical audiences
• Contribute to data-centric decision-making initiatives using advanced analytics
• Leverage tools and dashboards to communicate insights and outcomes

• Degree, Master, or PhD in data science, mathematics, operational research, physics, or statistics
• Experience conducting analysis for evidence-based decision making and building analytical models
• Experience translating business needs into analytical approaches and communicating results
• Experience across the analytics and modelling lifecycle from problem formulation to handover
• Proficiency with Python, SQL, Excel and data visualization tools
• Experience in advanced analytics, algorithm design, data engineering, big data/cloud platforms, and/or dashboard development
• Proactive problem solving and collaboration with colleagues

• stakeholder management
• project management
• clear communication with both technical and non-technical audiences
• Data Bricks
• Python
• PySpark