Careers

Manage, architect, and analyze big data to build data driven business insights and high impact data models to generate significant business value. 

Create models and processes to collect, distill and interpret data with a view to aid better, more informed decision making. 

Examine and explore data from multiple disparate sources with the goal of discovering insights which in turn can provide competitive advantage for our stakeholders. 

The role involves the following: 
Create insights from predictive statistical modeling, mathematical knowledge, tools, and techniques to solve complex problems and deliver value 
Implement new predictive and prescriptive solutions based upon business needs and requirements 
Translate business issues into specific requirements to develop analytic solutions, and identify appropriate data to support the solution  
Deliver large-scale programs that integrate processes with technology to help clients achieve high performance 
Responsible for implementation of complete big data solutions including data acquisition, storage, transformation, and analysis 
Manage a specific area of a project or entire project to solve analytics problems for clients 
Individual contributor and/or oversees a small work effort  
Work with minimal supervision  

Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
Implement statistical and Data Mining techniques e.g. Hypothesis Testing, Machine Learning, and Retrieval Processes on a large amount of data to identify trends, patterns, and other relevant information
Collaborate with clients and other stakeholders to effectively integrate and communicate analysis finding
Work with OMICs, image, med device and RWE data to power various use cases in the areas of digital trials and personalized medicine
Evaluate emerging datasets and technologies that may contribute to our existing analytical platforms

Desired Candidate Profile

• Post-Graduation in Statistics/Mathematics 

 

Mandatory Skills

• Must Have Knowledge of statistical techniques and machine learning algorithms 
• Data Science & Artificial Intelligence 
• NLP
• Advanced Analytical concepts
• Regression Analysis
• Decision Tree
• Time Series Analysis
• Ability to work cross-culturally
• Deep Learning
• Random Forest

Desired Skills

• Python
• R and R Shiny
• Databases
• Data Modelling
• visualization tools like Qliksense, Qlikview will be an added advantage 

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Manage, architect, and analyze big data to build data driven business insights and high impact data models to generate significant business value. 

Create models and processes to collect, distill and interpret data with a view to aid better, more informed decision making. 

Examine and explore data from multiple disparate sources with the goal of discovering insights which in turn can provide competitive advantage for our stakeholders. 

The role involves the following: 
Create insights from predictive statistical modeling, mathematical knowledge, tools, and techniques to solve complex problems and deliver value 
Implement new predictive and prescriptive solutions based upon business needs and requirements 
Translate business issues into specific requirements to develop analytic solutions, and identify appropriate data to support the solution  
Deliver large-scale programs that integrate processes with technology to help clients achieve high performance 
Responsible for implementation of complete big data solutions including data acquisition, storage, transformation, and analysis 
Manage a specific area of a project or entire project to solve analytics problems for clients 
Individual contributor and/or oversees a small work effort  
Work with minimal supervision  

Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner
Implement statistical and Data Mining techniques e.g. Hypothesis Testing, Machine Learning, and Retrieval Processes on a large amount of data to identify trends, patterns, and other relevant information
Collaborate with clients and other stakeholders to effectively integrate and communicate analysis finding
Work with OMICs, image, med device and RWE data to power various use cases in the areas of digital trials and personalized medicine
Evaluate emerging datasets and technologies that may contribute to our existing analytical platforms

Desired Candidate Profile

• Post-Graduation in Statistics/Mathematics 

 

Mandatory Skills

• Must Have Knowledge of statistical techniques and machine learning algorithms 
• Data Science & Artificial Intelligence 
• NLP
• Advanced Analytical concepts
• Regression Analysis
• Decision Tree
• Time Series Analysis
• Ability to work cross-culturally
• Deep Learning
• Random Forest

Desired Skills

• Python
• R and R Shiny
• Databases
• Data Modelling
• visualization tools like Qliksense, Qlikview will be an added advantage 

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Qualifications MBA / Bachelor’s in Computer Science, Math, Statistics, Economics

Experience – (0-2 years’ experience)

Skill set -MS Office (Excel, PPT, Word), Advance Excel/VBA, Visualization Tools

(Power BI), SQL, Python/R

Functional Competencies

Analytical skills
Statistics
Data modelling using ML Algorithms

Behavioral Competencies

Customer Centricity
Execution Excellence

Key Interactions

Internal Nature or purpose of interaction
All internal departments
or channels

For requirement gathering and data collation
External Nature or purpose of interaction
None

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We are looking for people with knowledge of :

– PHP

– MVC Framework Laravel, lPython Flask, Codigniter

– AJAX, HTML, HTML5 & CSS, CSS3, JavaScript and JavaScript frameworks (preferably jQuery)

– Web services (SOAP, REST)

– SQL and NoSQL scripting and databases like MYSQL and Mongo DB administration

– Code versioning tools, such as Git

– AngularJS, ReactJS.

Qualifications :

– B.E B. Tech M. Tech BSC in CS or IT

– 3 to 7 years of experience in the field.

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