Experience
11 - 15 yrs
Job Location
Pune, India
Vacancy
1
Designation
Data Science Consultant
Job Type
Not specified
Job Description
Position : Consultant - Data Science
Location : Pune/Bangalore/Nagpur/Chennai
Type of Employment : Full-Time
Purpose of the Position :
The Data Science Consultant will lead the design, development, and deployment of advanced data science solutions across business domains, with a strong focus on operational efficiency, forecasting, and AI integration. This role demands a blend of technical expertise, strategic thinking, and stakeholder collaboration to deliver measurable business impact through data-driven innovation.
The Data Science Consultant will lead the design, development, and deployment of advanced data science solutions across business domains, with a strong focus on operational efficiency, forecasting, and AI integration. This role demands a blend of technical expertise, strategic thinking, and stakeholder collaboration to deliver measurable business impact through data-driven innovation.
Key Result Areas and Activities :
- Advanced Model Development & Deployment : Build and deploy scalable machine learning and deep learning models (including CNNs and GenAI solutions) for anomaly detection, forecasting, and optimization.
- Data Engineering & Processing : Design and implement efficient data pipelines using Python, PySpark, and distributed computing frameworks to support large-scale analytics.
- Cross-functional Collaboration : Work closely with business stakeholders, software engineers, and DevOps teams to translate business needs into actionable data science solutions.
- Governance & Responsible AI Practices : Ensure models adhere to responsible AI principles including fairness, transparency, and auditability, and comply with data governance standards.
- Continuous Improvement & Innovation : Monitor model performance, conduct evaluations, and iterate to improve accuracy and reliability. Stay abreast of emerging AI/ML technologies and integrate them into solutions.
Essential Skills :
- Strong proficiency in Python and PySpark for data manipulation and modeling.
- Experience with deep learning frameworks such as TensorFlow and PyTorch.
- Hands-on experience with CNNs and other advanced ML techniques for forecasting and anomaly detection.
- Expertise in building and deploying models in production environments.
- Familiarity with distributed computing tools (e.g., Spark, Databricks).
- Knowledge of AI governance and responsible AI frameworks.
- Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes).
Desirable Skills :
- Experience with GenAI platforms and LLMOps tools (e.g., LangChain, MLflow).
- Understanding of vector databases and RAG pipelines.
- Exposure to CI/CD pipelines and DevOps practices.
- Ability to conduct market research and contribute to product strategy.
- Experience in supply chain or operations domain analytics.
Qualification :
- Experience: Overall 11 years of experience, including a minimum of 7+ years in data science, machine learning, or AI development, with proven expertise in deploying solutions at scale.
- Education: Bachelor s or master s degree in computer science, Engineering, Mathematics, Statistics, or a related field.
Qualities :
- Strong analytical and strategic thinking.
- Excellent communication and stakeholder management.
- Leadership and mentoring capabilities.
- Adaptability in dynamic and multicultural environments.
- Passion for innovation and continuous learning.
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