Data Scientist

**Company Profile:
**Prevalent AI (PAI) is a Security Data Science Company, founded in the UK, by experts recognized globally, for solving
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 Platform (SDS) is a big data security analytics platform that can ingest wide range of security
enterprises.
PAI team consists of Cyber Security Domain Specialists, Information Security Analysts, Data Scientists, Data Engineers
and Data Analysts focused on continuous enhancement (Product Development) of the Security Insight Platform as well as
working with our clients to analyse and deliver security risks and insights for large enterprises.
Prevalent AI India Pvt Ltd., a subsidiary of Prevalent AI, has offices in Infopark, Cochin, Kerala. For more information,

**Role Purpose and Key Accountabilities**:
The primary role of a Data Scientist involves understanding and analysing the data collected from various sources, drawing
inferences from the collated data and preparing conclusions out of it, to provide a competitive advantage or address a pressing
business problem.
This role further involves employing sophisticated analytics programs, machine learning and statistical methods to prepare data
analysis, and building high quality prediction systems.

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**:
Relevant experience in Data Science
Experience in working with Big Data and common data science tools such as R, Python, Spark etc. Proficiency in at
least one.
Experience working with large data sets.
Self-motivated individual capable of working in a fast-paced environment.
Great verbal and written communication skills.
A strong analytical mind-set

**Information Security responsibilities:
We take our security responsibilities very seriously and we trust each of our team members to do their utmost to keep our
business secure and safe.

Ensure you are aware and comply with the organization’s information security policies and procedures.
Ensure no client data is copied or downloaded to PAI system/network.
Ensure you do not access sensitive data which is not required for you to perform your job responsibilities. If in doubt,
please consult with your Lead before proceeding.
Ensure you attend and comply with all Information Security trainings provided by the PAI InfoSec and People team

**Knowledge:
Good understanding and expertise in processing large datasets.
Good working knowledge in implementation of various ML algorithms in big data environment, advanced ML
concepts like ANN, Deep learning etc.
Understanding of data visualization tools, such as D3.js, Tableau, etc.
Familiarity with Scala, HIVE is desired.
Good scripting and programming skills; SQL proficiency.
Understanding of and proficiency in NLP.
Understanding of a range of statistical and machine learning techniques and algorithms, such as logistic regression,
KNN, decision trees, SVM, CNN, etc.
Good understanding of the process workflow:
- Problem definition to hypothesis building
- Prototype model building using python/R
- Implementation of ML problems in big data.
- Performance Monitoring & Evaluation of System

**Education**:

- Bachelor’s/Master’s in engineering, Science, or Mathematics

**Values**:
**Inquisitive**:Inquisitive by nature, hungry for knowledge and excited about new challenges.
**Authentic**:Genuine, with a desire to create real and lasting relationships with clients, partners and
colleagues.
**Focused**:Tirelessly pursue results, drive