Kochi, Kerala Analysis python Jobs – 76 Open Jobs Today

Senior Data Scientist
Prevalent AI —Kakkanad, Kochi, Kerala
- Full-time
- Engineering
- Master's degree
- SQL
Lead Data Scientist
Prevalent AI —Kakkanad, Kochi, Kerala
- Full-time
- Azure
- Doctoral degree
- Computer Science
FPGA & BOARD DESIGN ENGINEER
Z-Crossing Solutions —Kochi, Kerala
- System design
- Laboratory experience
- Master's degree
Technology Project Manager / Senior Project Lead
Citrus Informatics —Kochi, Kerala
- Email
- Computer Science
- PMP
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IT Sales Head
ThomsunInfocareLLP —Kochi, Kerala
- Sales
- Business development
- Team management
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Senior Data Engineer
Invokhr —Kochi, Kerala
- Azure
- Research
- SQL
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Software Engineer/Senior Software Engineer [RPA/Blue Prism Developer]
Citrus Informatics —Kochi, Kerala
- Email
- Computer Science
- Java
- Master's degree
Senior Technical Analyst
Maxwell GeoSystems —Kochi, Kerala
- Azure
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Lead Data Scientist
Prevalent AI —Kakkanad, Kochi, Kerala
Collaborate with business SMEs to understand requirements and translate them into data science solutions using data preparation, visualization, statistical…
Product Manager - Cyber Applications
Prevalent AI —Kakkanad, Kochi, Kerala
Experience working in or alongside a managed security service, with an understanding of how client-facing delivery shapes product requirements.

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Senior Data Scientist

Prevalent AI
Kakkanad, Kochi, Kerala

Apply Now

Job details

Full-time

Qualifications

D3.js
Big data
Engineering
Spark
R
Apache Hive
Tableau
Information security
Master's degree
SQL
Analysis skills
Machine learning
JavaScript
Scala
Natural language processing
Regression analysis
Data science
Business requirements
Solution architecture
Communication skills
Python

Full job description

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

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

Education:

Master’s in engineering, Science, or Mathematics

Apply Now

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