Advanced Data Analytics

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. And 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.

PA. Bringing Ingenuity to Life.

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.

• 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

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:

What you can expect 🌱

We are seeking an experienced Data Science consultant to join our team. The ideal candidate will have a strong background in data science, mathematical modelling and ML, with a focus on using advanced analytics techniques to support data centric decision making in both public and private sector organisations.

• 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.

We use a range of different tools and technologies depending on the specific task, these include:
Data Bricks, Python, PySpark, R, Excel, Palantir Foundry and Power

BI.

Essential requirements ✅

Even if you don’t meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to.

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…