Productivity Data Science, Analytics & AI Specialist

About the job

Productivity Data Science, Analytics & AI Specialist

Are you a highly motivated, creative individual and passionate about sales and proposals? Would you like to be a part of successful team?

Join our team! This role sits within the SP&S Integrated Supply Chain Operations Excellence team and will focus on using advanced analytics, machine learning, and AI to improve decision-making, reduce cost / value leakage, and support stronger delivery performance.

Partner with the best As the Productivity Data Science, Analytics & AI Specialist, you will develop applied data science and AI solutions that address real operational and financial challenges across the business. You will work across functions to identify high-value use cases, build trusted analytical tools, and support responsible adoption of AI in ways that improve outcomes.

As a Productivity Data Science, Analytics & AI Specialist, you will be responsible for :

- Develop AI agents, prompt-engineered workflows and automated solutions tailored to business-specific use cases.

- Focusing on business-led use cases that solve slow, repetitive, fragmented, or decision-heavy processes, with a clear link to time, quality, risk, insight, or customer benefit.

- Working with teams across the value stream to identify opportunities, surface dependencies, and help shape practical pilots, standards, and scalable approaches.

- Supporting responsible AI adoption by considering governance, data quality, privacy, consistency, and alignment with wider business and digital standards. As part of this, you'll help raise the standard of data and AI literacy within the wider team to drive the business on it's journey to be AI-native.

- Applying statistical and machine learning techniques to operational, business and financial data to identify trends, risks, and opportunities across the project lifecycle.

- Designing and developing AI-powered solutions using large language models to support activities such as document analysis, summarization, insight extraction, and workflow acceleration.

- Building predictive and diagnostic models that help identify margin erosion, cost leakage, delivery risk, and leading indicators of project performance.

- Design and maintain Power BI dashboards and semantic models that combine descriptive analytics with predictive and data science outputs.

- Translating analytical and AI outputs into clear, actionable insight for operational, project, finance, and leadership stakeholders.

- Writing clean, maintainable code and building repeatable data pipelines that automate preparation, analysis, and integration into business workflows.

Fuel your passion! To be successful in this role you will:

- Have strong applied data science experience, including statistical modelling, predictive analytics, and machine learning applied to real business problems.

- Overall experience 5-8 years.

- Be proficient in Python, SQL and C#, with experience in data transformation, modelling, automation, and analytical pipeline development.

- Bring strong Power BI capability, including semantic modelling, DAX, and effective communication of worthwhile insights through visual reporting.

- Have practical experience with generative AI and LLM-based applications, including prompt design, workflow integration, or custom AI tools.

- Understand that the value of AI comes not only from the technology itself, but from changing how and where work happens.

- Be able to balance experimentation with pragmatism, using evidence to guide decisions and focusing on value over novelty.

- Be comfortable working with imperfect or evolving data and helping improve data quality and governance as a foundation for scale.

- Communicate effectively with both technical and non-technical stakeholders and work collaboratively across functions. Desired Characteristics

- A curious, pragmatic, and action-driven approach, with the confidence to work through ambiguity and the discipline to turn ideas into measurable outcomes.

- Experience in project-based, engineering, manufacturing, industrial, or operational environments.

- Exposure to cost, margin, productivity, or performance data.

- Familiarity with cloud AI or machine learning platforms such as Microsoft Azure AI Foundry, AWS Bedrock, or similar.

- Understanding of data governance, responsible AI principles, and scalable delivery practices

Work in a way that works for you We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

Working with us Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.

Working for you Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect. Contemporary work-life balance policies and wellbeing activities Comprehensive private medical care options Safety net of life insurance and disability programs Tailored financial programs Additional elected or voluntary benefits

The Baker Hughes internal title for this role is: Manufacturing Specialist - Manuf Eng Specialist