Data Scientist - BFSI

Responsibilities:

- Gain understanding of business goals and provide apt recommendations through advanced analytics

- Develop novel ways to help business partners achieve value through advanced analytical techniques.

- Have expertise in solving analytical problems and develop repeatable, dynamic, real-time and scalable models.

- Engineer features by using your business acumen to bin, aggregate, pivot or encode data for optimal results

- Mentor data scientists with the apt modelling and technical recommendations

- Differential thinking to ensure efficient deliveries, viz. leverage automation

- Think outside the box to identify & test new sources of information that unlock new business value

- Have passion to advocate and educate on the value and importance of data driven decision making & analytical methods

- Be a storyteller to explain the - why & how- of your data driven recommendations to cross-functional teams

- Identify and develop long-term data science processes, frameworks, tools, and standards

- Be a part of the team, collaborate, ask questions, engage and solicit feedback from other Data Scientists

Consultation

- Collaborates with technical teams like development and infrastructure.

- Able to explore, troubleshoot on niche technologies and provide automation solutions

- Experienced in proposing ROI based solutions to business

Qualifications:

- Experience in basic statistical analysis, modelling, clustering and data mining techniques to identify trends and insights

- Mathematical or statistical background required

- Ability to incorporate a variety of data sources in an analysis (HDFS, file, database, JSON, HTML, etc)

- Understanding of data warehousing & databases is critical

- Number sense, ability to identify questionable data, dig in & address it

- Experience with Hadoop, Hive, and/or Spark a plus

- Bias for action with ability to deliver outstanding results through task prioritization & time management

- Exemplary organizational skills with attention to detail & accuracy

- Experience with machine learning a plus

- Experience with data visualization tools

- Experience writing complex SQL queries

- Experience with Python & R, comfortable working with DataFrames

- Strong communication and collaboration skills to understand customer needs and deliver solutions in alignment with business needs