AI-Driven Data Analyst for Meaningful Impact

Jacobs; Manchester; Hybrid; GBP 55,000 - 90,000; Full time

Benefits offered by this job

Flexible working

Learning & development

Mentorship

Pension

Holiday allowance

Job summary

Jacobs Digital and Data is seeking a skilled data analyst/scientist to help solve complex challenges across infrastructure, public services, and economic transformation. You will turn large datasets into evidence-based insights using Python, SQL, and AI-enabled workflows, collaborating with clients and technical teams to shape recommendations.

You’ll work in a modern AI-augmented environment, applying statistical rigor, developing reproducible workflows, and communicating findings to both

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

SQL

Statistical reasoning

Data visualization

Communication

Tools

Azure

Databricks

Fabric

Synapse

Pandas

NumPy

SciPy

Job description

Jacobs Digital and Data is seeking a skilled data analyst/scientist to help solve complex challenges across infrastructure, public services, and economic transformation. You will turn large datasets into evidence-based insights using Python, SQL, and AI-enabled workflows, collaborating with clients and technical teams to shape recommendations.

You’ll work in a modern AI-augmented environment, applying statistical rigor, developing reproducible workflows, and communicating findings to both