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SLB · Kuala Lumpur

# D&I Data Scientist

Kuala Lumpur Data & Analytics 

Listed on SLB’s official careers site. Listed as of October 18, 2026. Check that it is still open and apply there.
[Apply on SLB’s careers site →](https://careers.slb.com/jobdescription.aspx?id=EF20911-en_US%201)

[OpenNash Jobs](https://jobs.opennash.com/) / [SLB](https://jobs.opennash.com/companies/slb/) / D&I Data Scientist

## Job description

The Data Scientist is responsible for conducting undirected research and tackle open-ended data problems and questions. Drawing on an advanced degree in a quantitative field such as computer science, physics, statistics or applied mathematics, the Data Scientist demonstrates the knowledge to invent new algorithms to solve data problems.

### Responsibilities

Research and assess next-generation technologies for machinery diagnostics and prognostics and data-driven modeling and optimization of complex systems. Demonstrate advanced working knowledge and experience with machine learning algorithms and population-based meta-heuristic optimization methods. Generate innovative ideas, establish new research directions, and shape and execute on technical projects. Maintain state-of-the-art knowledge and contribute to technical discussions and reviews as an expert in related areas of responsibility.

Apply theoretical knowledge to solve industrial problems. Process large multivariate data sets collected from equipment operations, manufacturing tests and diagnostic routines. Apply engineering knowledge in developing data-driven algorithms for anomaly detection, failure prediction and optimization. Communicate ideas, plans and results effectively via oral and written reports. Collaborate with field and product engineers to identify key health monitoring parameters of a system.

### Experience level

3-12 years Expertise: Knowledge and practical experience in statistical analysis techniques (e.g., classification, regression, time-series, Bayesian techniques) and machine learning techniques (e.g., decision trees, ensemble methods, deep learning, neural networks, validation methods). Practical experience in the machine learning lifecycle, from problem formulation and data acquisition to model building and deployment at enterprise scale.

Conceptual and mathematical understanding of algorithms, models, model assessment techniques, solution development and explainable AI. Knowledge and experience in code design, testing, and ML Ops practices. Specialization in at least one sub-domain, such as time series forecasting, Bayesian skills or NLP-GenAI. Proficiency in Python, including packages such as NumPy, pandas, scikit-learn, Keras, TensorFlow, and PyTorch.

Experience with software engineering practices, agile methodologies, DevOps, and version control. Experience in Data and Cloud environments along with APIs and data integration Experience with GenAI/LLMs Apply Now Share

## At a glance
- Posted by the employer: Not stated
- First seen by OpenNash: Oct 11, 2026
- Last checked: Oct 18, 2026
- Listed for: 7 days
- Location: Kuala Lumpur[Apply on SLB’s careers site →](https://careers.slb.com/jobdescription.aspx?id=EF20911-en_US%201)

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