Managing Consultant - Transport - Data Science (Basé à London)

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 enable 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 £1.5+ 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 not 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 here.

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.

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

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