Posted 04 July, 2026

Data scientist

NR Consulting

Pune,Maharashtra Full Time

Reference: 365_463738_26-15260

Title: Data Engineer
Location: Pune
Exp: 3-8 Years

Job Description:

KEY RESPONSIBILITIES

Modelling and analytics: Build, validate, and maintain predictive and statistical models using Python to support product and engineering decisions across a large-scale multi-product environment.
Exploratory data analysis: Perform EDA on product and operational datasets - identify patterns, anomalies, and opportunities - and communicate findings clearly.
Experimentation: Design and run controlled experiments (A/B tests, hypothesis testing) and report results with appropriate statistical rigour.
Dashboarding and reporting support: Develop analytics outputs and reporting layers in support of dashboarding work; collaborate with the Data Engineer on data availability and pipeline requirements.
Feature engineering: Work with raw and transformed data to build features for models; document all transformations and assumptions.
Ad hoc analytics: Respond to ad hoc data science and analytics requests raised by the Project Lead within agreed hour estimates.
Model documentation and reproducibility: Maintain notebooks, model cards, and documentation to a standard that supports knowledge transfer and continuity.
Collaboration: Partner closely with the Data Engineer (pipelines and data quality) and Cloud Engineer (Azure infrastructure); coordinate with client stakeholders via the Project Lead only.

REQUIRED TECHNICAL SKILL-SET

Skill Area	Tools / Platforms
Programming	Python (strong) - pandas, NumPy, scikit-learn, statsmodels
Machine Learning	Supervised and unsupervised ML - regression, classification, clustering, time-series
Statistical Analysis	Hypothesis testing, A/B testing, statistical inference, EDA
Data Visualisation	Matplotlib, Seaborn, Plotly; dashboard-ready chart output
Big Data / Notebooks	Databricks (notebooks and job execution); Jupyter
SQL	SQL for data extraction, joins, and aggregations
Cloud - Azure	Azure Blob Storage, Azure ML (basic), CosmosDB awareness
Version Control	Git, GitHub - clean notebook and script versioning
DevOps Tooling	JIRA, Confluence (task and documentation management)

PREFERRED SKILLS / NICE TO HAVE

Experience with deep learning frameworks (PyTorch, TensorFlow) for signal or time-series data.
Exposure to MLflow or equivalent for experiment tracking and model registry.
Familiarity with Azure Machine Learning Studio or Azure Databricks for model deployment.
Experience with NLP or computer vision tasks - relevant to product data interpretation.
Prior work in manufacturing, automotive, industrial IoT, or sensor data environments.
Exposure to Streamlit for building lightweight analytical interfaces.