Senior Data Scientist

Company Profile: 
 

Prevalent AI (PAI) is a Security Data Science Company, founded in the UK, by experts recognized globally, for solving the world’s toughest security problems. We apply the world’s best Security Data Science knowledge and expertise to help companies understand, deploy, and support the most advanced security solutions, by developing a security architecture based on a deep understanding of Data Science, Security Tradecraft and Big Data Technologies. 

PAI’s Security Data Science (SDS) platform is a big data security analytics platform that can ingest wide range of security telemetry data and apply advanced analytical approaches to identify and detect control weakness and security risks within enterprises. 

 PAI team consists of Cyber Security Domain Specialists, Information Security Analysts, Data Scientists, Data Engineers, and Data Analysts focused on developing advanced security analytics solutions (Solution Development) and delivering security insights to our clients. 

Prevalent AI India Pvt Ltd., a subsidiary of Prevalent AI, has offices in Infopark, Cochin, Kerala.

For more information, please visit https://www.prevalent.ai 

Role Purpose and Key Accountabilities:

Key accountabilities:

• Develop firm understanding of the essential business requirements through interaction with, and interrogation of, business SMEs and translate that understanding into designs that addresses the requirements, with maximum generality, using data science methods, including:

   Data assembly, cleansing, validation
   Data visualization
   Statistical modelling supervised and unsupervised machine learning, mathematical programming

• Inspect data to confirm that it is consistent with expectations; modifies designs as necessary.
• Communicate predictions and findings to the Organization through effective data visualizations and reports
• Create prototypes of key data manipulations, visualizations and mathematical modelling elements
• Validate designs with business SMEs via discussions, examples, prototype demonstrations and documentation and iterate designs in response to negotiations with business SMEs
• Conveys the designs to the software development teams via discussion, documentation and prototype code.
• Ensures that the software implementation conforms to design expectations via inspection and testing
• Develop an understanding of industry trends and best practices
• Create and follow personal education plan in the technology stack and solution architecture

Skills and Experience:

• Extensive experience in Data Science, with strong proficiency in tools like R, Python, Spark, and expertise in working with large datasets
• Solid understanding and application of machine learning algorithms (e.g., logistic regression, KNN, decision trees, SVM, CNN) and advanced techniques such as ANN and Deep Learning in big data environments
• Skilled in data processing, statistical analysis, and NLP techniques, with strong programming and SQL proficiency
• Familiar with data visualization tools (e.g., D3.js, Tableau) and technologies like Scala and HIVE
• Self-motivated and adaptable, with excellent communication skills and the ability to work efficiently in fast-paced environments
• Strong analytical mindset and solid understanding of ML workflows and implementation in large-scale data environments

Education:

• Master’s in engineering, Science, or Mathematics