Data Analyst
Experience: 3+ Years
Location: Bangalore / Hyderabad (Hybrid)
Employment Type: Full-Time

About nxzen

nxzen is a global technology, consulting, and engineering partner advancing the national infrastructure that society depends on. Our mission is to empower energy, utilities, and national infrastructure providers to deliver safer, smarter, and more resilient operations. Backed by leading investors, we combine deep domain expertise with engineering excellence and digital innovation to deliver measurable impact. Our solutions include NNNCo's national-scale IoT networks, EAD's turnkey renewable and grid energy systems, Digital Twin Simulation for real-time predictive optimisation, and N2N's connected infrastructure platform for end-to-end asset intelligence. We help operators modernise, connect, and optimise national systems to meet performance, compliance, and net-zero goals without compromise.

Role Summary

The Data Analyst will support data science delivery for nxzen's critical national infrastructure clients across energy, utilities, and infrastructure sectors in the UK, Australia, and internationally. You will apply analytics and statistical methods to real operational problems, contributing to predictive modelling, reporting, and visualisation under the guidance of senior team members.

Based in nxzen's Global Capability Centre in Bangalore or Hyderabad, you will work within the Data & AI practice, delivering analytical and predictive solutions for critical national infrastructure operators.

This is an early-career, hands-on technical role focused on building solid technical foundations through practical delivery. You will write code, perform data analysis, build predictive models, prepare datasets, create dashboards, and continuously learn from senior Data Scientists and AI leaders.

Key Responsibilities





- Apply predictive analytics and statistical models for asset risk scoring, predictive maintenance, leak and outage prediction, and demand forecasting.
- Perform exploratory data analysis (EDA), feature engineering, and data quality assessment on operational, geospatial, SCADA, IoT, asset, and financial datasets.
- Build dashboards, reports, and visualizations using Power BI, Tableau, Grafana, or equivalent BI tools.
- Support Machine Learning model development, including data preparation, feature engineering, training, and validation.
- Contribute to Generative AI initiatives including Prompt Engineering, basic RAG pipelines, and LLM evaluation.
- Support deployment of analytical models using MLOps pipelines, version control, and monitoring.
- Develop SQL queries and collaborate with Data Engineers to build reliable analytical pipelines.
- Document methodologies, assumptions, model outputs, and maintain clean, well-commented code.
- Apply Responsible AI principles including explainability, bias awareness, and model governance.
- Participate in sprint planning, stand-ups, technical reviews, and knowledge-sharing sessions.
- Collaborate with onshore delivery teams and clients across global locations.
- Continuously build expertise in Data Science, Machine Learning, Generative AI, and the Energy & Utilities domain.

What We're Looking For

Education

- Bachelor's degree in computer science, Mathematics, Statistics, Engineering, Physics, or another quantitative discipline.
- Master's degree is an added advantage.

Experience





- 3+ years of experience in Data Science, Data Analytics, or related roles.

Technical Skills

- Python (Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn/Plotly)
- SQL
- Statistics (Regression, Hypothesis Testing, Time-Series Analysis)
- Power BI / Tableau
- Machine Learning fundamentals
- Git & Version Control
- Cloud Platforms (Azure / AWS / GCP)
- Basic MLOps concepts
- Generative AI, Prompt Engineering, LLMs (ChatGPT, Claude, Llama, Mistral, DeepSeek, Gemma, Qwen)
- Basic understanding of RAG, NLP, Computer Vision, Time-Series Forecasting
- Apache Spark, Airflow, Databricks, Azure Data Factory or dbt (preferred)

Soft Skills

- Strong analytical and problem-solving skills
- Excellent written and verbal communication
- Client-facing communication skills
- Curiosity and eagerness to learn
- Ability to work in global cross-functional teams

Why Join Us?

- Hybrid work model with flexible working arrangements.
- Flexible working hours supporting work-life balance.
- Opportunity to work on cutting-edge AI, Machine Learning, Digital Twin, and Generative AI solutions.
- Exposure to global clients across the UK, Australia, and other international markets.
- Collaborate with experienced Data Scientists, AI Engineers, and Domain Consultants.
- Continuous learning, technical upskilling, and career growth opportunities.
- Be part of innovative projects supporting Energy, Utilities, and Critical National Infrastructure.
- Inclusive, collaborative, and innovation-driven work culture.

Diversity & Inclusion

At nxzen, we are committed to building an inclusive workplace where every individual is respected, valued, and empowered to succeed. We embrace diversity across backgrounds, experiences, and perspectives, fostering innovation and collaboration while delivering exceptional outcomes for our clients and communities.

📌 Data Analyst (Hyderabad)
🏢 Nxzen (India)
📍 Hyderabad