eClerx
Process Manager
- Compensation
- Not disclosed
- Location
- Pune, Maharashtra, India
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 4+ years
- Category
- Not specified
- Posted
Skills
Nice to have
- Experience with cloud platforms (Databricks, AWS, Azure, or GCP)
- Exposure to MLOps and model deployment frameworks
- Experience with distributed computing tools such as Spark or Databricks
- Prior exposure to pricing analytics, customer analytics, or revenue optimization
Full description
Data Scientist – Advanced Analytics & AI
Location: Mumbai / Pune, India
Experience: 4–8 years
Employment Type: Full-time
Role Overview
We are seeking a Consulting Data Scientist to design and deliver data science, machine learning, and AI-driven solutions that address complex business challenges. In this role, you will work closely with consulting teams and client stakeholders to translate business problems into analytical frameworks and scalable AI solutions that drive measurable impact.
Key Responsibilities
- Translate business problems into data-driven analytical approaches and AI solutions.
- Develop and deploy machine learning, predictive analytics, and optimization models.
- Apply AI and Generative AI techniques to enhance decision-making and automate insights.
- Conduct exploratory data analysis, feature engineering, and model development.
- Collaborate with data engineering teams to build scalable and production-ready solutions.
- Present analytical insights and recommendations to senior client stakeholders.
- Contribute to the development of analytics frameworks, accelerators, and AI innovation initiatives.
Qualifications
Experience
4–8 years of experience in Data Science, Machine Learning, AI, or Analytics Consulting.
Education
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field.
Technical Skills
- Strong programming skills in Python or R
- Proficiency in SQL and large-scale data analysis
- Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
- Familiarity with Generative AI, NLP, or LLM-based applications
- Experience with data visualization tools (Tableau, Power BI, or Python-based libraries)
Preferred Skills
- Experience with cloud platforms (Databricks, AWS, Azure, or GCP)
- Exposure to MLOps and model deployment frameworks
- Experience with distributed computing tools such as Spark or Databricks
- Prior exposure to pricing analytics, customer analytics, or revenue optimization
Key Competencies
- Strong analytical and problem-solving skills
- Ability to translate technical insights into business recommendations
- Effective communication and stakeholder management
- Ability to work in fast-paced, client-facing environments