Data Scientist
Noida, Uttar Pradesh, India
- Experience
- 3–5 years
- Employment
- Full-time
- Work mode
- Onsite
- Salary
- ₹7.7 L–11.5 L / year
- Deadline
- Apply by 1 Nov 2026
- Posted
- 2025-10-06
Required skills
| Skill | Experience | Level |
|---|---|---|
| Data science | 3+ years | Intermediate |
| Python | 2+ years | Intermediate |
| Pandas | 2+ years | Intermediate |
| NLP | 2+ years | Intermediate |
| Dialogflow | 1+ years | Intermediate |
| Machine Learning | 2+ years | Intermediate |
| Data Visualization | 1+ years | Intermediate |
| Voicebots | 2+ years | Advanced |
| Chatbots | 1+ years | Intermediate |
| Azure | 2+ years | Intermediate |
| AWS | 2+ years | Intermediate |
| GCP | 2+ years | Intermediate |
| Data science | 3+ years | Intermediate |
| Python | 2+ years | Intermediate |
| Pandas | 2+ years | Intermediate |
| NLP | 2+ years | Intermediate |
| Dialogflow | 1+ years | Intermediate |
| Machine Learning | 2+ years | Intermediate |
| Data Visualization | 1+ years | Intermediate |
| Voicebots | 2+ years | Advanced |
| Chatbots | 1+ years | Intermediate |
| Azure | 2+ years | Intermediate |
| AWS | 2+ years | Intermediate |
| GCP | 2+ years | Intermediate |
About the role
About the Role
We are seeking a skilled Data Scientist with 3 years of hands-on experience to join our growing team at Cognitensor. The ideal candidate will have strong expertise in applying data science and machine learning techniques to financial, banking, and insurance datasets — driving insights, automation, and intelligent decision-making.
You’ll collaborate closely with product and engineering teams to build intelligent models and systems that transform business challenges into data-driven solutions.
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Key Responsibilities
· Develop and deploy machine learning and deep learning models for financial, banking, and insurance datasets.
· Work with cross-functional teams to design, implement, and evaluate predictive models and NLP-based solutions.
· Perform data preprocessing, feature engineering, and model performance optimization.
· Create end-to-end voicebots and chatbots using AI and NLP frameworks.
· Analyze large-scale datasets to extract actionable insights and improve model accuracy.
· Communicate findings and technical concepts to non-technical stakeholders.
· Collaborate with developers to integrate models into production systems.
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Required Skills & Qualifications
· Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field.
· Strong proficiency in Python, Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch.
· Experience with NLP and Conversational AI frameworks (e.g., Rasa, Dialogflow, or LangChain).
· Solid understanding of machine learning algorithms and statistical modeling.
· Experience working with financial datasets and understanding banking/insurance domain challenges.
· Familiarity with SQL, data visualization, and model deployment tools.
· Strong analytical, problem-solving, and communication skills.
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Required Experience
✅ Hands-on experience in building and deploying Voicebots and Chatbots. ✅ Prior experience with AI-driven customer engagement or automation in financial services. ✅ Exposure to cloud platforms (AWS, GCP, Azure) for model deployment.
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Why Join Us?
At Cognitensor, we empower innovation through AI-driven solutions. You’ll work in a collaborative environment that encourages creativity, continuous learning, and cutting-edge experimentation — helping shape the future of intelligent financial systems.
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