Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Managing Consultant - Transport - Data Science

PA Consulting
Greater London
5 months ago
Applications closed

Related Jobs

View all jobs

Managing Consultant - Transport - Data Science

Senior Quantitative Recruitment Consultant

Senior Consultant – Health Economics Statistician

Hybrid Digital Analytics Consultant: Data Strategy

Senior Consultant – Health Economics Statistician

Senior Consultant Data Scientist

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 diverse teams of 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.

Job Description

Are you passionate about helping transport organisations design, develop and deploy sophisticated and innovative solutions? We help our clients by providing Data Strategy, Data Engineering and Advanced Analytical solutions within transportation. 

In Data Science, we are a group of talented innovators who solve our clients’ most complex problems across the data lifecycle. We leverage our ingenuity combined with cutting-edge technologies, digital solutions and AI to deliver long-lasting impact and value-adding insights. Above all, we are a community that grows together, learning and caring for each other. 

The transport sector is rapidly changing with a dramatic increase in data consumption and production, focus on customer experience and use of technologies and AI to manage and operate our infrastructures. The work we do in Data Science is at the heart of this evolution and our priority is to build lasting partnerships with our clients by applying ingenuity to define the strategies and governance needed, create data architectures, build platforms, AI and analytics solutions. 

As we expand our Data Science capabilities, we are seeking dynamic and insightful individuals who can help clients unlock the potential of this data-driven transformation. 

Qualifications

Our Data Science Transport specialists understand how to help transport sector clients develop and put into action data strategy, data engineering and advanced data analytics solutions that enables them to build the organisation they need for the future, and make sure that value and insights are gathered from data. 

As a Managing Consultant, you will be part of our leadership team, taking new service propositions to the market as well as developing new business and strong client relationships while leading and delivering great work.

Essential skills 

Ability to work with transport and logistics clients, helping them to structure their thinking in order to identify key requirements, challenges, opportunities and aspirations for the organisation 

Strong experience and relationships in the transport sector 

Taking accountability for the delivery of technical data related engagements and leading multiple engagements on a day-to-day basis 

Leading sales and business development initiatives in the transport sector and acting as an integral part of the broader Data Science leadership team 

Building and managing excellent networks and client relationships (typically at CIO, CFO, COO, CDO or Head of Data and AI level) across a range of organisations within the transport sector 

Commercially aware and with industry relationships that will enable achievement of revenue in the region of £ million per year 

Strong interpersonal and stakeholder engagement skills at all levels up to Board level and strong network across transport sector leaders 

Trusted and respected leader with the ability to build and run a highly effective team that delivers client outcomes and develops the team and individuals 

Experience and knowledge of the broader technology landscape, including but limited to AI, and of its impact on how we deliver data strategy, platform and products 

Experience of selling and leading data and transformation projects 

Additional Information

Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose led meaningful work.

We believe diversity fuels ingenuity. Diversity of thought brings exciting perspectives; diversity of experience brings a wealth of knowledge, and diversity of skills brings the tools we need. When we bring people together with diverse backgrounds, identities, and minds, embracing that difference through an inclusive culture where our people thrive; we unleash the power of diversity – bringing ingenuity to life.

Find out more about Life at PA .

We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits:

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)

We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We are on a journey towards ensuring our workforce is diverse at all levels and that our firm is representative of the world around us. We welcome applications from underrepresented groups.

Hybrid Working - Our approach is to be in the office or on client site a minimum of 2 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 client site. 

Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us.

#LI-GB1

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.