Sr Data scientist

at Fragma Data Systems

Sr Data scientist

Fragma Data Systems

Company

Home

Sr Data scientist

at Fragma Data Systems

Posted by Sandhya JD

5 - 10 yrs

₹15L - ₹40L / yr

Remote only

Skills

Machine Learning (ML)

Data Science

Natural Language Processing (NLP)

Computer Vision

recommendation algorithm

Job Overview:

Data & Analytics team is responsible to integrate new data sources and build data models, data dictionaries and machine learning models for the Wholesale Bank.

The goal is to design and build data products to support squads in Wholesale Bank with business outcomes and development of business insights. In this Job Family we make a distinction between Data Analysts and Data Scientist. Both scientists as analysts work with data and are expected to write queries, work with engineering teams to source the right data, perform data munging (getting data into the correct format, convenient for analysis/interpretation) and derive information from data.

The data analyst typically works on simpler structured SQL or similar databases or with other BI tools/packages. The Data Scientists are expected to build statistical models or be hands-on in machine learning and advanced programming.
Role of Data Scientist to support our Corporate banking teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have banking or corporate banking experience.

Primary Responsibilities

 Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

 Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies

 Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and more

 Develop custom data models and algorithms

 Develop processes and tools to monitor and analyze model performance and data accuracy

 Assess the effectiveness and accuracy of new data sources and data-gathering techniques

 Develop company A/B testing framework and test model quality

 Coordinate with different functional teams to implement models and monitor outcomes

Operating Environment, Framework and Boundaries, Working Relationships

 Develops data products that are fit for purpose by leveraging advanced data and analytical tools and technology in order to help customers to make the best possible financial decision and to make the organization more data driven, taking into account the data privacy legislations and ethical boundaries.

 Combines IT and data management expertise. He / she develops algorithms to apply to external and internal data to predict customer needs and / or developments in markets, industries and the wider financial landscape.

 Linking pin and liaison towards the Data Engineers

Desired Experience

6 Years - 10 Years

Function

Analytics

Desired Skills

Should be comfortable in solving Wholesale Banking domain analytical solution within AI/ML platform

Knowledge, Skills and Experience

 Master’s or Ph.D. in statistics, mathematics, or computer science

 Experience using statistical computer languages such as R, Python, SQL, etc.

 Experience in statistical and data mining techniques, including generalized linear model/regression, random forest, boosting, trees, text mining, social network analysis

 Experience working with and creating data architectures

 Knowledge of machine learning techniques such as clustering, decision tree learning, and artificial neural networks

 Knowledge of advanced statistical techniques and concepts, including regression, properties of distributions, and statistical tests

 6+ years of experience manipulating data sets and building statistical models

 Experience using web services: Azure AI/ML , Redshift, S3, Spark, DigitalOcean, etc.

 Experience analyzing data from third-party providers, including Google Analytics, Site Catalyst, Coremetrics, AdWords, Crimson Hexagon, Facebook Insights, etc.

 Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

 Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Job Overview:

Data & Analytics team is responsible to integrate new data sources and build data models, data dictionaries and machine learning models for the Wholesale Bank.

The goal is to design and build data products to support squads in Wholesale Bank with business outcomes and development of business insights. In this Job Family we make a distinction between Data Analysts and Data Scientist. Both scientists as analysts work with data and are expected to write queries, work with engineering teams to source the right data, perform data munging (getting data into the correct format, convenient for analysis/interpretation) and derive information from data.

The data analyst typically works on simpler structured SQL or similar databases or with other BI tools/packages. The Data Scientists are expected to build statistical models or be hands-on in machine learning and advanced programming.
Role of Data Scientist to support our Corporate banking teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have banking or corporate banking experience.

Primary Responsibilities

 Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

 Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies

 Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, and more

 Develop custom data models and algorithms

 Develop processes and tools to monitor and analyze model performance and data accuracy

 Assess the effectiveness and accuracy of new data sources and data-gathering techniques

 Develop company A/B testing framework and test model quality

 Coordinate with different functional teams to implement models and monitor outcomes

Operating Environment, Framework and Boundaries, Working Relationships

 Linking pin and liaison towards the Data Engineers

Desired Experience

6 Years - 10 Years

Function

Analytics

Desired Skills

Should be comfortable in solving Wholesale Banking domain analytical solution within AI/ML platform

Knowledge, Skills and Experience

 Master’s or Ph.D. in statistics, mathematics, or computer science

 Experience using statistical computer languages such as R, Python, SQL, etc.

 Experience in statistical and data mining techniques, including generalized linear model/regression, random forest, boosting, trees, text mining, social network analysis

 Experience working with and creating data architectures

 Knowledge of machine learning techniques such as clustering, decision tree learning, and artificial neural networks

 Knowledge of advanced statistical techniques and concepts, including regression, properties of distributions, and statistical tests

 6+ years of experience manipulating data sets and building statistical models

 Experience using web services: Azure AI/ML , Redshift, S3, Spark, DigitalOcean, etc.

 Experience analyzing data from third-party providers, including Google Analytics, Site Catalyst, Coremetrics, AdWords, Crimson Hexagon, Facebook Insights, etc.

 Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

 Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Users love Cutshort

Read about what our users have to say about finding their next opportunity on Cutshort.

Shubham Vishwakarma

Full Stack Developer - Averlon

I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.

Companies hiring on Cutshort

About Fragma Data Systems

Founded :

2015

Type :

Products & Services

Size :

100-1000

Stage :

Profitable

About

Fragma is a leading Big data, AI and Advanced analytics company provideing services global clients.

Mallikarjun Degul

Sandhya JD

Varun Reddy

Priyanka U

Simpy kumari

Minakshi Kumari

Latha Yuvaraj

Vamsikrishna G

Company social profiles

Similar jobs

Sales manager (SaaS)

E-Commerce Industry

Agency job

via Peak Hire Solutions by Dhara Thakkar

Chennai, Bengaluru (Bangalore)

4 - 6 yrs

₹10L - ₹22L / yr

SaaS

Business-to-business sales

Customer Relationship Management (CRM)

B2B Marketing

Business-to-business

SALES MANAGER (SAAS)

Company: Consumer Internet / E-Commerce

Company Size: Mid-Sized

Experience Required: 4 - 6 years

Working Days: 5 days/week

Office Location: Chennai / Bengaluru

Key Skills: SaaS, B2b Sales, Customer Relationship Management (CRM)

Review Criteria:

Mandatory:

Strong sales executive profile
Must have 3+ years of hands-on B2B SaaS sales experience, preferably selling subscription-based products or platforms
Must have experience in doing end to end Hunting / New Business Acquisition, including prospecting, pitching, negotiation, and deal closure
Must have experience of managing the complete sales cycle independently — research, outreach, client meetings, solution pitching, proposal handling, and closing.
Strong communication, presentation, negotiation, and objection-handling skills with experience engaging with mid to senior-level stakeholders
Experience in pipeline building & CRM usage, maintaining accurate forecasts, sales funnel tracking, and performance reporting.
B2B SaaS Product companies

Preferred:

Preferred (Consultative Selling): Strong listening skills with the ability to understand client business challenges and position SaaS solutions accordingly.
Preferred (Attitude & Ownership): Demonstrates entrepreneurial mindset, proactive approach, accountability, and high-energy sales attitude.
Preferred (Education): Graduate/Postgraduate degree (Business / Marketing preferred but not mandatory).

Role & Responsibilities:

You will be responsible for serving the needs of the existing customers and closing sales deals to create new customers.

Key Responsibilities:

Prepare for the sales calls including conducting research and building sales decks
Leading the prospective client calls, sending pitches, and closing new deals.
Presenting company products as a solution to the prospective client’s business challenge/needs
Manage the full sales cycle from prospecting to closing for new customers
Should be flexible working in shifts or in different time zones
Excellent communication and interpersonal skills.
Develop a pipeline of qualified opportunities and consistently maintain an accurate forecast
Liaise and partner with other internal departments to manage complex sales opportunities

Ideal Candidate:

An enthusiastic individual with the following skills. Please do not hesitate to apply if you do not match all of it. We are open to promising candidates who are passionate about their work and are team players.

Graduate/Postgraduate or equivalent
4-6 years of SaaS sales experience required
Ability to hunt new business and manage a pipeline
Great team player
Strong analytical, communication, and writing skills
Entrepreneurial spirit highly encouraged
Enjoy working in small, fast-paced teams where you can take initiative and accountability, and generate results every day
Great listening skills and a desire to learn proper consultative selling techniques
High-energy and positive attitude
Attention to detail and the ability to multitask while maintaining a high quality of work
Confidence to overcome objections and convert interest into qualified

Perks, Benefits and Work Culture:

A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the comprehensive benefits that company offers.

SALES MANAGER (SAAS)

Company: Consumer Internet / E-Commerce

Company Size: Mid-Sized

Experience Required: 4 - 6 years

Working Days: 5 days/week

Office Location: Chennai / Bengaluru

Key Skills: SaaS, B2b Sales, Customer Relationship Management (CRM)

Review Criteria:

Mandatory:

Strong sales executive profile
Must have 3+ years of hands-on B2B SaaS sales experience, preferably selling subscription-based products or platforms
Must have experience in doing end to end Hunting / New Business Acquisition, including prospecting, pitching, negotiation, and deal closure
Must have experience of managing the complete sales cycle independently — research, outreach, client meetings, solution pitching, proposal handling, and closing.
Strong communication, presentation, negotiation, and objection-handling skills with experience engaging with mid to senior-level stakeholders
Experience in pipeline building & CRM usage, maintaining accurate forecasts, sales funnel tracking, and performance reporting.
B2B SaaS Product companies

Preferred:

Preferred (Consultative Selling): Strong listening skills with the ability to understand client business challenges and position SaaS solutions accordingly.
Preferred (Attitude & Ownership): Demonstrates entrepreneurial mindset, proactive approach, accountability, and high-energy sales attitude.
Preferred (Education): Graduate/Postgraduate degree (Business / Marketing preferred but not mandatory).

Role & Responsibilities:

You will be responsible for serving the needs of the existing customers and closing sales deals to create new customers.

Key Responsibilities:

Prepare for the sales calls including conducting research and building sales decks
Leading the prospective client calls, sending pitches, and closing new deals.
Presenting company products as a solution to the prospective client’s business challenge/needs
Manage the full sales cycle from prospecting to closing for new customers
Should be flexible working in shifts or in different time zones
Excellent communication and interpersonal skills.
Develop a pipeline of qualified opportunities and consistently maintain an accurate forecast
Liaise and partner with other internal departments to manage complex sales opportunities

Ideal Candidate:

Graduate/Postgraduate or equivalent
4-6 years of SaaS sales experience required
Ability to hunt new business and manage a pipeline
Great team player
Strong analytical, communication, and writing skills
Entrepreneurial spirit highly encouraged
Enjoy working in small, fast-paced teams where you can take initiative and accountability, and generate results every day
Great listening skills and a desire to learn proper consultative selling techniques
High-energy and positive attitude
Attention to detail and the ability to multitask while maintaining a high quality of work
Confidence to overcome objections and convert interest into qualified

Perks, Benefits and Work Culture:

Enterprise Architect

at NeoGenCode Technologies Pvt Ltd

2 candid answers

Posted by Akshay Patil

Trivandrum, Kochi (Cochin)

10 - 15 yrs

₹20L - ₹35L / yr

Enterprise architecture

TOGAF

Zachman Framework

Cloud architecture

Application & Infrastructure Design

+5 more

Job Title : Enterprise Architect

Experience : 10+ Years

Location : Trivandrum / Kochi

Budget : Up to ₹35 LPA

Notice Period : Immediate to 15 Days

Job Overview :

We’re seeking a seasoned Enterprise Architect with strong experience in the BFSI domain to lead enterprise-wide architecture design and technology strategy. The role involves aligning IT with business goals, designing scalable systems, and driving digital transformation across the organization.

Mandatory Skills :

Enterprise architecture (TOGAF/Zachman), cloud architecture, application & infrastructure design, BFSI domain experience, system integration, stakeholder management, and technical leadership.

Key Responsibilities :

Define and execute enterprise architecture strategy, vision, and roadmap.
Design architecture across applications, data, infrastructure, and security.
Lead technical decisions, architecture reviews, and standardization efforts.
Collaborate with business, IT, and vendor teams to ensure aligned solutions.
Ensure compliance with security, governance, and regulatory standards.
Stay updated on emerging tech and recommend innovations.

Required Skills :

Proven experience in enterprise architecture frameworks (TOGAF/Zachman).
Strong understanding of cloud, microservices, application development, and data management.
Experience in automation, CI/CD, and DevOps practices.
Excellent communication, leadership, and stakeholder management skills.
Domain expertise in BFSI (Retail/Healthcare is a plus).
Certifications like TOGAF, CEH preferred.

Job Title : Enterprise Architect

Experience : 10+ Years

Location : Trivandrum / Kochi

Budget : Up to ₹35 LPA

Notice Period : Immediate to 15 Days

Job Overview :

Mandatory Skills :

Enterprise architecture (TOGAF/Zachman), cloud architecture, application & infrastructure design, BFSI domain experience, system integration, stakeholder management, and technical leadership.

Key Responsibilities :

Define and execute enterprise architecture strategy, vision, and roadmap.
Design architecture across applications, data, infrastructure, and security.
Lead technical decisions, architecture reviews, and standardization efforts.
Collaborate with business, IT, and vendor teams to ensure aligned solutions.
Ensure compliance with security, governance, and regulatory standards.
Stay updated on emerging tech and recommend innovations.

Required Skills :

Proven experience in enterprise architecture frameworks (TOGAF/Zachman).
Strong understanding of cloud, microservices, application development, and data management.
Experience in automation, CI/CD, and DevOps practices.
Excellent communication, leadership, and stakeholder management skills.
Domain expertise in BFSI (Retail/Healthcare is a plus).
Certifications like TOGAF, CEH preferred.

AWS Devops Engineer/ Architect

at Glan management Consultancy

Posted by satish Agrawal

Gurugram

7 - 15 yrs

₹12L - ₹40L / yr

DevOps

Devops Architect

MongoDB

AWS Solution Architect

CI/CD

Job Title: AWS Devops Engineer – Manager Business solutions

Location: Gurgaon, India

Experience Required: 8-12 years

Industry: IT

We are looking for a seasoned AWS DevOps Engineer with robust experience in AWS middleware services and MongoDB Cloud Infrastructure Management. The role involves designing, deploying, and maintaining secure, scalable, and high-availability infrastructure, along with developing efficient CI/CD pipelines and automating operational processes.

Key Deliverables (Essential functions & Responsibilities of the Job):

· Design, deploy, and manage AWS infrastructure, with a focus on middleware services such as API Gateway, Lambda, SQS, SNS, ECS, and EKS.

· Administer and optimize MongoDB Atlas or equivalent cloud-based MongoDB solutions for high availability, security, and performance.

· Develop, manage, and enhance CI/CD pipelines using tools like AWS CodePipeline, Jenkins, GitHub Actions, GitLab CI/CD, or Bitbucket Pipelines.

· Automate infrastructure provisioning using Terraform, AWS CloudFormation, or AWS CDK.

· Implement monitoring and logging solutions using CloudWatch, Prometheus, Grafana, or the ELK Stack.

· Enforce cloud security best practices — IAM, VPC setups, encryption, certificate management, and compliance controls.

· Work closely with development teams to improve application reliability, scalability, and performance.

· Manage containerized environments using Docker, Kubernetes (EKS), or AWS ECS.

· Perform MongoDB administration tasks such as backups, performance tuning, indexing, and sharding.

· Participate in on-call rotations to ensure 24/7 infrastructure availability and quick incident resolution.

Knowledge Skills and Abilities:

· 7+ years of hands-on AWS DevOps experience, especially with middleware services.

· Strong expertise in MongoDB Atlas or other cloud MongoDB services.

· Proficiency in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or AWS CDK.

· Solid experience with CI/CD tools: Jenkins, CodePipeline, GitHub Actions, GitLab, Bitbucket, etc.

· Excellent scripting skills in Python, Bash, or PowerShell.

· Experience in containerization and orchestration: Docker, EKS, ECS.

· Familiarity with monitoring tools like CloudWatch, ELK, Prometheus, Grafana.

· Strong understanding of AWS networking and security: IAM, VPC, KMS, Security Groups.

· Ability to solve complex problems and thrive in a fast-paced environment.

Preferred Qualifications

· AWS Certified DevOps Engineer – Professional or AWS Solutions Architect – Associate/Professional.

· MongoDB Certified DBA or Developer.

· Experience with serverless services like AWS Lambda, Step Functions.

· Exposure to multi-cloud or hybrid cloud environments.

Mail updated resume with current ctc-

Email: etalenthire[at]gmail[dot]com

Satish; 88 O2 74 97 43