Advanced Data Analytics

• Work to agile best practices and collaborate cross-functionally with multiple teams and stakeholders, applying technical skills to problem solve with clients and internal projects.
• Conduct whiteboard sessions and use asynchronous communication on Teams.
• Work on client sites or in our office, with hybrid work plan of at least two days per week.
• Use tools such as Data Bricks, Python, PySpark, R, Excel, Palantir Foundry and PowerBI to deliver scalable, high-performance applications.

• A degree, Masters or PhD in data science, mathematics, operational research, physics, or statistics.
• Experience conducting analysis for evidence-based decision making, designing and developing models and supporting data-centric decision making.
• Experience translating business needs into analytical approaches and communicating findings to technical and non-technical audiences.
• Experience across the full analytics and modelling lifecycle - problem formulation, exploratory data analysis, model design, build, testing and handover.
• Experience with Python, SQL, Excel and data visualisation tools.
• Experience leading and delivering solutions covering advanced analytics, algorithm design, operational research models, data engineering, big data/cloud platforms, or visualisation/dashboards.
• Problem-solving mindset and strong curiosity.

Nice to have

• Excellent stakeholder, project management and communication skills; consulting and advisory experience.
• Experience managing analytical solutions through product development lifecycle.
• Experience developing data and behavioural science propositions for client presentations.

Some UK roles require a UK security clearance. All employees must undergo background checks and meet residency requirements (British citizen or 5 years continuous residency in the UK)., * Quick call with a Tech Recruiter to discuss the role.

• Round 1 - competency or technical interview (60 min).
• Round 2 - competency or technical interview (60 min).
• Final round - meeting with a PA leader, a mini case study and discussion around client-centricity (60 min).

• Private healthcare for you and your family.
• 25 days annual leave (plus a half day on Christmas Eve) and option to buy 5 additional days.
• Generous company pension scheme.
• Community and charity engagement opportunities.
• Annual performance-based bonus.
• PA share ownership.
• Tax-efficient benefits (cycle-to-work, give-as-you-earn).