Delhi Scientist Jobs – 113 Open Jobs Today

Data Scientist (Contract6 month)
Employe Hub —Delhi, Delhi
- ₹6,00,436.05 - ₹19,75,141.93 a year
- Part-time
- Azure
- Salesforce
- Engineering
Quick apply
9d
Lead Data Scientist
Infosys Limited —Delhi, Delhi
- Machine learning
- Agile
- AI
Pathologist
Crypto Mize —Delhi
- Full-time
- Medicine
- Bachelor's degree
- Diploma
Associate – ML Engineer (Data Business CoE)
Bain & Company Inc —Delhi, Delhi
- Full-time
- Master's degree
- SQL
- AWS
Political Researcher
Crypto Mize —Delhi
- Full-time
- Research
- Diploma
- Communication skills
Medical Officer
Solutionec —Delhi, Delhi
- ₹50,000 - ₹1,00,000 a month
- Full-time
- SQL
- Analysis skills
- In-person
- Health insurance
- Paid time off
Quick apply
5d
Political Analyst
Crypto Mize —Delhi
- Full-time
- B.Sc
- English
- Research
VP of Operations
JoVE —Delhi
- Full-time
- Remote
- Bachelor's degree
- AI
- Analytics
Quick apply
5d
Campaign Manager
Crypto Mize —Delhi
- Full-time
- Writing skills
- English
- Research
Consultant / Senior Consultant - Monitoring, Evaluation, and Learning
Athena Infonomics —Delhi, Delhi
- Email
- Remote
- Research
- Master's degree
- Analysis skills
- Flexible schedule
Senior Data Scientist — Manufacturing & Process AI
Employee Hub LLP —Delhi, Delhi
- Up to ₹12,00,000 a year
- Azure
- Salesforce
- Engineering
Quick apply
AI Product Manager (100% Remote)
Tether Operations Limited —Delhi, Delhi
- Email
- Remote
- Azure
- Engineering
- English
Senior Program Officer (Education)
Wadhwani AI —South East District, Delhi
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
Quick apply
Senior Associate - Communications
Athena Infonomics —Delhi
- Email
- Remote
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
- Flexible schedule
Artificial Intelligence Specialist
TriEdge Solutions —Delhi, Delhi
- ₹12,000 - ₹20,000 a month
- Full-time
- Computer Science
- Java
- Databases
- Cell phone reimbursement
Quick apply
2d
Web Developer
IES Master —South East District, Delhi
- Software troubleshooting
- Databases
- JavaScript
Sr. Data Engineer - Data Engineering 4B
Genpact India Pvt. Ltd. —Delhi, Delhi
- Full-time
- Hybrid work
- Azure
- Computer Science
- English
Quick apply
9d
Senior Data Scientist / AI-ML Engineer
Aroosha Technologies Pvt. Ltd —South East District, Delhi
- ₹50,000 - ₹70,000 a month
- Computer Science
- Master's degree
- Bachelor's degree
Quick apply
2d
Tech & AI Director
Portcast —Delhi
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Research
Quick apply
AI Developer
Peymagen Informatics and automation pvt.ltd —Delhi, Delhi
- ₹60,000 - ₹85,000 a month
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
Quick apply
5d

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Data Scientist (Contract6 month)

Employe Hub
Delhi, Delhi

Quick apply

Job details

Part-time | Full-time
₹6,00,436.05 - ₹19,75,141.93 a year
9 days ago

Qualifications

Azure
Internet of things
SAP
Salesforce
Engineering
NumPy
Git
Finance
Master's degree
SQL
Pandas
OOP
AWS
Bachelor's degree
Machine learning
Quality control
SciPy
Distributed control systems
Data science
Manufacturing
SAP ERP
Python

Full job description

ou will build and deploy machine-learning models directly on plant data to cut energy consumption, improve equipment reliability, and tighten product quality across our cement operations. This is a hands-on modelling role embedded with process, operations and reliability teams — your work will be measured in real, finance-validated savings (kcal/kg clinker, kWh/tonne, avoided downtime), not slide decks.

Key responsibilities

Build, validate and deploy ML models for process optimisation (kiln / pyro-process control, grinding & separator efficiency), predictive maintenance on critical rotating equipment, and quality / clinker-factor optimisation.

Work with high-frequency sensor and time-series data from plant historians, DCS and IIoT systems; engineer meaningful features from noisy, real-world industrial signals.

Partner with plant operators and process engineers to encode domain knowledge into models, and to take models safely from advisory recommendations toward closed-loop control.

Establish rigorous baselines and quantify impact with finance-grade discipline; defend results under scrutiny.

Work with the MLOps / platform team to productionise models and monitor them in live operation.

Communicate findings clearly to non-technical plant leadership.

Required qualifications (must-have):

Bachelor's or Master's in Engineering (Chemical, Mechanical, Electrical, Industrial), Statistics, Computer Science, or a related quantitative field.

3–6 years building and deploying ML models, including demonstrable experience in a manufacturing or process-industry environment (cement, steel, refining, chemicals, power, glass, mining, or similar).

Strong applied skills in time-series analysis, sensor/signal data, anomaly detection, regression and forecasting, with a solid statistics foundation.

Strong, idiomatic Python for data science (NumPy, pandas, SciPy, scikit-learn, statsmodels) with clean, tested, production-quality code; strong SQL.

Deep command of classical / traditional machine learning — regularised regression (Ridge, Lasso, ElasticNet), tree-based ensembles (Random Forest, Gradient Boosting — XGBoost / LightGBM / CatBoost), SVM, k-NN and Naive Bayes — with sound feature engineering, cross-validation and hyperparameter tuning.

Proven ability to wrangle messy industrial data and engineer features that work in production.

Comfortable on the plant floor — explaining models to engineers and operators and earning their trust.

Preferred (strong pluses):

· Hands-on experience with Industrial IoT (IIoT) and Operational Technology (OT) data — plant historians (OSIsoft PI / AVEVA, Aspen IP.21), OPC-UA, SCADA / DCS, time-series databases.

· Domain exposure to cement or heavy/process manufacturing (pyroprocessing, grinding, combustion, quality control).

Experience working with data from SAP (ERP — especially PM / PP / production & maintenance modules) and Salesforce (SFDC).

Familiarity with Advanced Process Control (APC) concepts and closed-loop deployment.

Deep learning for time series; physics-informed or hybrid (data + first-principles) modelling.

Technical skills:

Programming & engineering: idiomatic, production-quality Python — NumPy, pandas and SciPy for vectorised data work; clean, modular code with unit tests (pytest); OOP; virtual environments & packaging; Jupyter; Git. Strong SQL; PySpark for large datasets a plus.

Classical machine learning: hands-on depth across regularised regression, tree-based ensembles (Random Forest, XGBoost / LightGBM / CatBoost), SVM, k-NN and Naive Bayes; unsupervised methods — k-means, DBSCAN, hierarchical clustering and PCA / dimensionality reduction.

Statistical & modelling rigour: hypothesis testing, regression diagnostics, feature engineering & selection, cross-validation, hyperparameter tuning, class-imbalance handling, and disciplined error analysis.

Time-series & anomaly detection: classical methods (ARIMA / SARIMA, exponential smoothing, state-space models) and libraries (statsmodels, sktime, tsfresh, Prophet); anomaly detection (Isolation Forest, One-Class SVM).

Core libraries: scikit-learn, statsmodels, XGBoost / LightGBM, matplotlib / seaborn.

Platform & tooling

Cloud / lakehouse (Azure, AWS or Databricks); plant historian & OT connectors; Git-based workflows.

Pay: ₹600,436.05 - ₹1,975,141.93 per year

Work Location: In person

Quick apply

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