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05/11 Anshul Bangia
Partner at Symphoni HR

Views:2719 Applications:310 Rec. Actions:Recruiter Actions:6

Data Scientist - Bank (3-10 yrs)

Mumbai/Navi Mumbai Job Code: 760926

Data Scientist opportunity with an Indian Bank

Position: Data Scientist

Experience: Minimum 3 years (relevant work exp. of Data Scientist.)

Location: Lower Parel and Turbhe

Job Description:

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns and to suggest changes in the existing processes to get maximum revenue/customer satisfaction. The person will be responsible to build data products to extract valuable business insights. In this role, he should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.


- Identify valuable data sources and automate collection processes

- Undertake to preprocess of structured and unstructured data

- Analyze large amounts of information to discover trends and patterns

- Build predictive models and machine-learning algorithms

- Combine models through ensemble modeling

- Present information using data visualization techniques

- Propose solutions and strategies to business challenges

- Collaborate with engineering and product development teams


- Proven experience as a Data Scientist or Data Analyst

- Experience in data mining

- Knowledge of R, SQL and Python; familiarity with Java or Scala is an asset

- Hands-on experience in working with Dplyr, Lubridate, RMarkdown libraries

- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.

- Experience with data visualization tools, such as D3.js, GGplot, Shiny, etc.

- Good applied statistics skills, such as distributions, statistical testing, regression, etc.

- Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)

- Strong math skills (e.g. statistics, algebra)

Women-friendly workplace:

Maternity and Paternity Benefits

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