At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.

This is a great time to join Jacobs Digital and Data as we continue to help clients solve some of the world’s most complex challenges through data, analytics, and AI. Working across critical programmes and advisory engagements, you’ll play a key role in turning complex and often incomplete data into evidence that drives confident decision-making. This is an opportunity to work on high-profile projects spanning infrastructure, public services, and economic transformation, applying analytical rigour to real-world problems that have meaningful impact.

You'll operate in a modern, AI-augmented environment, combining statistical thinking, data analysis, and emerging technologies to generate insight that organisations can trust. From shaping analytical approaches and challenging assumptions to communicating findings that influence strategic decisions, you'll be at the heart of helping clients make better, evidence-based choices.

With the opportunity to influence outcomes on programmes that shape communities, infrastructure, and economies worldwide, why wouldn’t you want to make an impact?

Day to Day

• Translate complex business and programme challenges into clear analytical questions, hypotheses, and measurable outcomes

• Apply statistical techniques including regression analysis, hypothesis testing, sampling methodologies, and confidence interval analysis to generate robust, evidence-based insights

• Conduct exploratory data analysis to identify trends, anomalies, risks, and opportunities within large and complex datasets

• Develop reproducible analytical workflows using Python, leveraging tools such as pandas, numpy, scipy, and statsmodels

• Query, validate, and analyse data using SQL across structured and semi-structured data environments

• Work with modern cloud-based data platforms including Azure, Fabric, Synapse, and Databricks to access and analyse data at scale

• Leverage AI tools, large language models, and copilot platforms to accelerate analytical workflows while applying appropriate oversight and validation controls

• Evaluate analytical outputs for quality, bias, statistical robustness, and suitability for decision-making

• Create clear, compelling visualisations and analytical narratives that communicate findings effectively to both technical and non-technical audiences

• Assess data quality, completeness, lineage, and limitations, ensuring assumptions and constraints are clearly documented

• Collaborate with clients, programme teams, and technical specialists to refine requirements, validate findings, and align recommendations

• Ensure analytical approaches are transparent, reproducible, and compliant with governance, privacy, and ethical standards

• Support the continuous improvement of analytical methods, reusable assets, and best practices across the wider Digital and Data community

What’s In It For You

• Work on high-impact programmes that help shape national infrastructure, public services, and economic growth

• Apply advanced analytics, statistical techniques, and AI-enabled approaches to solve real-world client challenges

• Gain exposure to diverse sectors and complex transformational programmes across both public and private organisations

• Be part of a collaborative team of data analysts, data scientists, engineers, consultants, and subject matter experts

• Develop expertise across modern analytical tooling including Python, SQL, Azure, Databricks, Fabric, and AI-assisted analytics platforms

• Work in an environment that values analytical integrity, critical thinking, and evidence-based decision-making

• Build client-facing consulting and stakeholder engagement skills while working directly with senior decision-makers

• Contribute to innovative approaches that combine statistical rigour with emerging AI capabilities

• Access ongoing learning and development opportunities to deepen both technical and consulting expertise

• Progress your career within a growing Digital and Data practice, with pathways into senior analytics, data science, consulting, or leadership roles

Benefits

• A global network of expertise and opportunity

• A culture founded on safety, integrity, inclusion, and belonging

• Flexible working arrangements that support your well-being and potential

• Investment in your development, including certifications, learning time, and access to mentors

• Opportunities to contribute to communities of practice and internal technical initiatives

• Exposure to diverse projects across multiple industries and regions

• Competitive benefits package including pension, holiday allowance, and additional perks

• Experience applying data analysis and statistical methods to solve business, programme, or operational challenges

• Strong Python skills for data manipulation, analysis, and statistical modelling

• Working knowledge of SQL for data extraction, validation, and investigation

• A solid foundation in statistical reasoning, including regression, hypothesis testing, confidence intervals, and analytical risk assessment

• The ability to critically assess findings, challenge assumptions, and communicate uncertainty appropriately

• Experience presenting analytical results and recommendations to non-technical stakeholders

• An understanding of modern AI tools and their application within analytical workflows, alongside awareness of their limitations and risks

• Familiarity with cloud-based data platforms such as Azure, Fabric, Synapse, or Databricks would be advantageous

• Experience with data visualisation tools such as Power BI, matplotlib, seaborn, or Plotly would be beneficial

• A collaborative mindset with excellent communication skills and a commitment to delivering high-quality, decision-grade insight

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We value collaboration and believe that in-person interactions are crucial for both our culture and client delivery. We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations enabling them to deliver their best work.

Your application experience is important to us, and we’re keen to adapt to make every interaction even better. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team via Careers Support.