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Engineering Services Senior Analyst

Engineering Services Senior Analyst

Accenture

3 - 7 years

8 - 12 Lacs

bengaluru

Posted:4 hours ago| Platform:

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Skills Required

python scikit-learn numpy machine learning pandas time series analysis microsoft azure electrical engineering anomaly detection sql deep learning tensorflow r data science gcp predictive modeling pytorch engineering analysis xgboost aws sap pm

Work Mode

Work from Office

Job Type

Full Time

Job Description

About The Role

Skill required: IX Product Engineering Services - Digital Site Designing

Designation: Engineering Services Senior Analyst

Qualifications:BE/BTech/Master of Engineering

Years of Experience:5 to 8 years
Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song" all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.
What would you do? We are seeking a skilled Data Scientist / Predictive Modelling Engineer with experience in asset health analytics and OCR integration for electricity transmission assets. The ideal candidate will develop predictive models to support proactive maintenance and reliability planning for cables, LV systems, and transformers, using Python and OCR technologies to extract insights from both structured and unstructured data sources.

What are we looking for?

Exp in predictive modelling / data science, ideally in the utilities or energy sector.

Strong proficiency in Python and key libraries:pandas, NumPy, scikit-learn, XGBoost, TensorFlow/PyTorch.

Experience with OCR libraries and tools:for document/image processing.

Solid background in machine learning, time series analysis, and anomaly detection.

Familiarity with electrical asset health indicators and degradation modes (e.g., transformer oil data, insulation aging).

Experience integrating unstructured data into predictive models.

Strong communication skills and the ability to present technical findings to non-technical stakeholders.

Experience with cloud platforms (AWS, Azure, GCP) and cloud-native OCR services.

Experience with EAM systems like SAP PM or IBM Maximo.

Bachelor's or Master's degree in Electrical Engineering, Computer Science, Data Science, or related field.
Roles and Responsibilities:

Develop and maintain predictive models to assess and forecast asset health, failure risk, and remaining useful life (RUL).

Apply OCR techniques to extract data from inspection reports, engineering drawings, and maintenance records.

Work with domain experts to incorporate engineering knowledge into models for cables, LV systems, transformers, and other transmission assets.

Analyze condition monitoring data (e.g., thermal, oil analysis, partial discharge, DGA Analysis) and identify degradation patterns.

Build machine learning and time-series forecasting models to detect anomalies and predict failures.

Design data pipelines to handle both structured sensor data and unstructured text/images (via OCR).

Communicate model outputs through visualizations, dashboards, and technical documentation.

Collaborate across asset management, engineering, and data teams to implement model-driven strategies.
QualificationBE,BTech,Master of Engineering

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Engineering Services Senior Analyst