Reporting Structure

The role is part of Research and Innovation vertical.

Job Description

We are looking for a Data Scientist to analyse large amounts of raw information to find patterns, build data products and models to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data.

Experience in machine-learning and research to create artificial intelligence solutions, machine learning models and retraining systems with real world data

Primarily responsible to shape and build efficient self-learning applications.

Education

Bachelors Computer science or equivalent

Relevant Masters preferred

Experience

5-8 years of relevant industry experience

Industry

Information Technology

Responsibility

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Research and implement appropriate ML algorithms and tools
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Create and maintain optimal data pipeline architecture
• Combine models through ensemble modeling
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

Skills and Qualifications

1. Proven industry experience as a Data Science and Machine Leaning Engineer
2. Understanding of data structures, data modeling, data mining and software architecture
3. Deep knowledge in mathematics and statistics
4. Hands-on experience in at least one Python or R
5. Outstanding analytical and problem-solving skills
6. Excellent communication and presentation skills
7. Operational experience with machine learning frameworks (like Keras/ Tensorflow/ PyTorch) and libraries (like scikit-learn)
8. Experience with relational SQL and NoSQL(like H-base and Cassandra) databases.
9. Experience with big data tools: Hadoop, Spark, Kafka, etc would be a plus
10. Understanding of Ontologies, Explainable-AI and Compliance-AI will be a plus
11. Working experience with Protégé would be a plus
12. Experience with AWS cloud services: EC2, EMR, RDS, Redshift would be a plus
13. Image Processing Knowledge would be a plus
14. Industry certifications