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Key skills for this role
The Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.
Develop analytics to address customer needs and opportunities.
Work alongside software developers and software engineers to translate algorithms into commercially viable products and services.
Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics.
Perform exploratory and targeted data analyses using descriptive statistics and other methods.
Work with data engineers on data quality assessment, data cleansing and data analytics
Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes.
Share and discuss findings with team members.
Analyze large, structured, and unstructured datasets to identify trends, patterns, and opportunities.
Develop statistical models to uncover insights and support business decisions.
Perform exploratory data analysis (EDA) and hypothesis testing.
Create dashboards and visualizations to communicate findings.
Design, develop, train, and deploy machine learning models.
Build predictive, classification, recommendation, and optimization solutions.
Apply Generative AI, LLMs, Retrieval-Augmented Generation (RAG), and Agentic AI techniques where applicable.
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To be successful in this role you will have:
Bachelor's or master's degree in data science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
A successful modern Data Scientist:
Delivers measurable business value from AI and analytics initiatives.
Builds scalable and production-ready ML/AI solutions.
Improves operational efficiency through data-driven automation.
Drives adoption of AI technologies across the organization.
Maintains high standards of governance, security, and responsible AI.
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.
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.
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
Energy technology company providing solutions for energy and industrial customers.
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