Data Scientist (Banking Domain Mandatory)

MNC

Data Scientist (Banking Domain Mandatory)

Fragma Data Systems

Company

Home

Data Scientist (Banking Domain Mandatory)

at MNC

Agency job

via Fragma Data Systems

4 - 7 yrs

₹25L - ₹28L / yr

Bengaluru (Bangalore)

Skills

Data Science

Data Scientist

R Programming

Python

SQL

Banking Domain
Assist the team in building Machine learning/AI/Analytics models on open-source stack using Python and the Azure cloud stack.
Be part of the internal data science team at fragma data - that provides data science consultation to large organizations such as Banks, e-commerce Cos, Social Media companies etc on their scalable AI/ML needs on the cloud and help build POCs, and develop Production ready solutions.
Candidates will be provided with opportunities for training and professional certifications on the job in these areas - Azure Machine learning services, Microsoft Customer Insights, Spark, Chatbots, DataBricks, NoSQL databases etc.
Assist the team in conducting AI demos, talks, and workshops occasionally to large audiences of senior stakeholders in the industry.
Work on large enterprise scale projects end-to-end, involving domain specific projects across banking, finance, ecommerce, social media etc.
Keen interest to learn new technologies and latest developments and apply them to projects assigned.

Desired Skills

Professional Hands-on coding experience in python for over 1 year for Data scientist, and over 3 years for Sr Data Scientist.
This is primarily a programming/development-oriented role - hence strong programming skills in writing object-oriented and modular code in python and experience of pushing projects to production is important.
Strong foundational knowledge and professional experience in
Machine learning, (Compulsory)
Deep Learning (Compulsory)
Strong knowledge of At least One of : Natural Language Processing or Computer Vision or Speech Processing or Business Analytics
Understanding of Database technologies and SQL. (Compulsory)
Knowledge of the following Frameworks:
Scikit-learn (Compulsory)
Keras/tensorflow/pytorch (At least one of these is Compulsory)
API development in python for ML models (good to have)
Excellent communication skills.
Excellent communication skills are necessary to succeed in this role, as this is a role with high external visibility, and with multiple opportunities to present data science results to a large external audience that will include external VPs, Directors, CXOs etc.
Hence communication skills will be a key consideration in the selection process.

Banking Domain
Assist the team in building Machine learning/AI/Analytics models on open-source stack using Python and the Azure cloud stack.
Be part of the internal data science team at fragma data - that provides data science consultation to large organizations such as Banks, e-commerce Cos, Social Media companies etc on their scalable AI/ML needs on the cloud and help build POCs, and develop Production ready solutions.
Candidates will be provided with opportunities for training and professional certifications on the job in these areas - Azure Machine learning services, Microsoft Customer Insights, Spark, Chatbots, DataBricks, NoSQL databases etc.
Assist the team in conducting AI demos, talks, and workshops occasionally to large audiences of senior stakeholders in the industry.
Work on large enterprise scale projects end-to-end, involving domain specific projects across banking, finance, ecommerce, social media etc.
Keen interest to learn new technologies and latest developments and apply them to projects assigned.

Desired Skills

Professional Hands-on coding experience in python for over 1 year for Data scientist, and over 3 years for Sr Data Scientist.
This is primarily a programming/development-oriented role - hence strong programming skills in writing object-oriented and modular code in python and experience of pushing projects to production is important.
Strong foundational knowledge and professional experience in
Machine learning, (Compulsory)
Deep Learning (Compulsory)
Strong knowledge of At least One of : Natural Language Processing or Computer Vision or Speech Processing or Business Analytics
Understanding of Database technologies and SQL. (Compulsory)
Knowledge of the following Frameworks:
Scikit-learn (Compulsory)
Keras/tensorflow/pytorch (At least one of these is Compulsory)
API development in python for ML models (good to have)
Excellent communication skills.
Excellent communication skills are necessary to succeed in this role, as this is a role with high external visibility, and with multiple opportunities to present data science results to a large external audience that will include external VPs, Directors, CXOs etc.
Hence communication skills will be a key consideration in the selection process.

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