Managing Consultant - Asset Analytics

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

Capgemini Invent is the digital innovation, design and transformation arm of the Capgemini Group that helps CXOs envision and shape the future of their organisations.

Within Invent, the Enterprise Data Analytics (EDA) team specialises in delivering analytical solutions and advisory services that help major private and public sector clients unlock value using data and artificial intelligence.

As a Managing Consultant - Asset Analytics within EDA, your work will involve proposing and developing analytical and AI-enabled solutions that result into actionable insights to improve performance, reliability, cost efficiency, and risk management. You will collaborate with engineering, operations, and business teams to translate strategic objectives into validated solutions that support both day-to-day decision-making and long-term planning in asset-, infrastructure-, and process-heavy industries such as Aerospace & Defence, Manufacturing, Energy or Transport.

This role involves working closely with clients and internal stakeholders to translate complex process and operational challenges into robust solutions that drive measurable impact.

As a valued Managing Consultant in our Operational Analytics team, you will be involved in creating compelling offers and propositions, building capability and delivering projects on client side against the following areas:

• Lead a project workstream or a small project, ensuring delivery quality and alignment with client objectives.
• Work directly with clients to providing industry-leading advice and solutions, leveraging the latest Generative AI and Agentic AI technologies to drive real transformational change
• Translate technical outputs into clear business insights, supporting proposals and client presentations.
• Engage with client stakeholders to gather requirements and communicate progress effectively.
• Contribute to business development, including drafting proposals and identifying opportunities for value creation.
• Support internal capability building, through mentoring, developing reusable frameworks, and sharing best practices.

Your ideas matter. We're looking for dynamic individuals with the vision and energy to drive meaningful change for our clients and within our organisation. In addition to your client-side role, you will take ownership of projects in the following areas:

• Business Development - Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.
• Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offer development.
• Learning & development - Build team capability by offering development opportunities that strengthen professional growth and prepare the team for future skill demands.
• Training to support your career development and meet evolving skill demands within the company.

You should have a skillset that combines rigorous thinking, creativity, and thoughtful leadership.

Below are some of the key skills and experiences we look for. We don't expect every candidate to meet all of these criteria - we're building a diverse team with a broad range of strengths, backgrounds, and experiences.

We look for individuals who bring experience in some of the following areas:

• Multi paradigm simulation (discrete event simulation, agent-based simulation, system dynamics) for complex systems.
• V&V including parameter tuning, sensitivity, and uncertainty checks.
• Scenario testing for bottlenecks, capacity, resilience, and policy impacts.
• Digital twins using live data, telemetry, and event streams for forecasting.
• Operationalising models with versioning, reproducibility, and governance.
• ILP/MIP formulation, decomposition, and solver-based optimisation.
• Scheduling and resource allocation across workforce, maintenance, and logistics.
• Robust/stochastic optimisation with scenario generation and risk aware decisions.
• Network and flow optimisation for supply chain, routing, and capacity planning.
• Leveraging AI methods to inform optimisation heuristics, demand forecasts, and dynamic decision support

• Anomaly detection using statistical, ML, and hybrid methods for fault and quality monitoring.
• RUL estimation and predictive maintenance via survival, failure time, and degradation models.
• Time series forecasting and causal analysis for demand, load, reliability, and performance.
• Developing and applying AI models to support predictive insights, automation opportunities, and operational decision making.

We're seeking candidates who demonstrate the following skills and experience:

• Bachelor's or Master's degree in Engineering, Operations Research, Computer Science, Applied Mathematics, or a related field.
• Hands on experience with simulation modelling techniques (discrete event simulation, agent-based simulation, system dynamics) and translating operational systems into models.
• Strong programming proficiency in Python (or similar languages) for data manipulation, automation, integration and working with AI/ML libraries.

Demonstrated proficiency in at least one of the following:

• Machine Learning, Data Science and applied AI techniques
• Solid grasp of statistical analysis, experimental design, and data visualisation.
• Experience applying AI or advanced analytics in operational or asset intensive environments.
• Ability to communicate complex technical concepts clearly to non-technical stakeholders.
• Hold SC or be SC eligible (Security Clearance).

We're here to help you build a fulfilling and sustainable career. That's why we invest in:

• Hybrid working options and a culture that values work-life integration.
• Structured career progression, leadership programs and hands on mentorship to ensure you become a better consultant on your own terms.
• A team oriented environment where collaboration is valued above competition and where success is shared.
• Training to keep our people at the forefront of data innovation.

At Capgemini we don't just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work.

We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.

Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained 'Mental Health Champions' across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.

CSR:

We're also focused on using tech to have a positive social impact. So, we're working to reduce our own carbon footprint and improve everyone's access to a digital world. It's something we're really serious about. In fact, we were even named as one of the world's most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you'll join a team that does the right thing.

Whilst you will have an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.

When you join Capgemini, you don't just start a new job. You become part of something bigger.

Learn about how the recruitment process works - how to apply, where to follow your application, and next steps.

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