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We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world. Why consider joining our Digital & Data community? 🤔 Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions. Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn’t align with what you want to do. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same. Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring. Deepen your expertise through our culture of learning and growth – you’ll have budget to take courses (technical and non-technical training), plus gain certifications.
Job Responsibility
Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your technical skills to problem solve with our clients, as well as working on internal projects
Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams
Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site.
Requirements
A degree, Masters or PhD from a leading university in data science, mathematics, operational research, physics, or statistics
Experience of conducting analysis for evidence-based decision making, designing and developing models and conducting analysis to support data-centric decision making
Experience working with clients to translate business needs into analytical approaches and solutions, and with strong ability to communicate approaches, and findings to technical and non-technical audience
Experience of working across the full analytics and modelling lifecycle - problem formulation, exploratory data analysis, model design, build, testing and handover
Experience working with common tools like python, SQL, Excel and data visualisation solutions for modelling and analysis
Experience of leading and delivering solutions that involved one or more of the following specialisms: advanced analytics and data science, algorithm design and development, developing operational research models, data engineering, big data and Cloud platforms, data visualisation or dashboard development
A genuine affinity for problem solving - an inquisitive mind who wants to solve the trickiest challenges whilst working with incredible colleagues
Nice to have
Stakeholder management, project management and communication skills
Experience working in or providing consulting and advisory services to stakeholders
Experience in the software or product development lifecycle for analytical solutions, e.g. could include managing analytical solutions across the discovery, development/prototype, rollout, implementation and managed service stages
Experience in the business process through client presentations and developing data and behavioural science propositions
What we offer
Health and lifestyle perks accompanying private healthcare for you and your family
25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days
Generous company pension scheme
Opportunity to get involved with community and charity-based initiatives
Annual performance-based bonus
PA share ownership
Tax efficient benefits (cycle to work, give as you earn)