Zorba is the new age analytics provider that brings data driven decision to life for its clients. We believe in getting analytics executed on ground with the client team rather than just creating complex machine learning or predictive modelling algorithms. 

We offer services across the spectrum ranging from analytics training and setting up data centres to delivering analytics based strategic consulting solutions. One of the key value adds we do is with the speed at which we deliver solutions.

Headquartered in Mumbai, Zorba was conceived with an objective of creating value for businesses in near future rather than long term. We are experts in leveraging big data, building data driven solutions and operationalizing analytics at each stage of decision making process with following key offerings: 

•	Data Visualization and Dashboard design
•	Predictive Modelling Algorithms
•	Data Management and Transformation
•	Analytics based reporting solutions
•	Marketing and Business Process Optimization

Witnessing the stories of success and failure of numerous businesses at different stages, we came to the conclusion that every business can be successful if improvisation continues relentlessly. 

We want to make this process faster and smarter for our clients in their quest for growth by hand holding through data analytics and strategic leadership for effective decision making. 

You can follow us on :
https://www.quora.com/profile/Yash-Chaudhary-516
https://www.instagram.com/zorbaconsulting/?hl=en
https://twitter.com/ConsultingZorba
https://www.facebook.com/Zorbaconsulting/

Zorba Consulting India

We are looking for an experienced Lead Data Scientist to lead end-to-end AI and analytics engagements, develop scalable machine learning solutions, manage technical teams, and collaborate with clients to drive business outcomes.
🔹 Key Responsibilities
Design and implement end-to-end Data Science and Machine Learning solutions for complex business problems.
Develop predictive models using algorithms such as Random Forest, SVM, Neural Networks, Decision Trees, Logistic Regression, Linear Regression, K-Means, and PCA.
Lead AI and analytics projects across domains such as Retail, Pharma, Banking, and Insurance.
Define Data Science strategies, technology roadmaps, and scalable implementation approaches.
Manage and mentor Data Scientists, allocate workloads, and ensure timely project delivery.
Engage with clients and senior stakeholders to understand business requirements and communicate project progress.
Drive project planning, effort estimation, delivery governance, and quality assurance.
Contribute to pre-sales activities, solution design, business cases, and internal product development initiatives.
🔹 Mandatory Technical Skills ✅ Python, R, SQL, NoSQL, and Spark ✅ Machine Learning and Predictive Analytics ✅ NumPy, Pandas, Scikit-learn, TensorFlow, and BERT ✅ Statistics and Hypothesis Testing ✅ Machine Learning algorithms and model development ✅ Cloud platforms: AWS, Azure, or GCP ✅ Large-scale data processing and distributed computing
🔹 Desired Skills
Strong understanding of structured and unstructured data ecosystems.
Experience translating business challenges into data-driven solutions.
Strong leadership, team management, and client engagement skills.
Experience in project management, resource planning, and delivery governance.
Excellent communication, stakeholder management, and problem-solving abilities.