Advanced Data Analytics Consultant

Company Description

We believe in the power of ingenuity to build a positive human future. As strategies, technologies and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers and technologists.

We have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics and Netherlands.

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.

• 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.
• 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 a budget to take courses (technical and non‑technical training) and gain certifications.

While we advocate for using the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high‑performance applications:
Data Bricks, Python, PySpark, R, Excel, Palantir Foundry and Power

BI.

• 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 and on internal projects.
• Live in‑person white‑boarding 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, with up to five days on a client site.
• An environment that deeply cares about its values.

Essential requirements

• A degree, Masters or PhD from a leading university 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 working with clients to translate business needs into analytical approaches and solutions, 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 hand‑over.
• Experience with common tools such as Python, SQL, Excel and data visualisation solutions for modelling and analysis.
• Experience leading and delivering solutions that involved one or more of the following specialisms: advanced analytics and data science, algorithm design and development, 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.

• 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…