AVP - Data Scientist - Investment Bank

AVP Data Scientist

Location Pune

Travel involved Pune & Mumbai

Analytics role for Site Management Team

Req Skills - Machine Learning, Analysis

As discussed, below is the JD for the open Data Scientist - AVP role

Job Description for the role:

Global Process Advisory is a team of internal consultants working across all business lines represented in Pune office. The primary objective of the team is to generate value to the businesses through achievement of efficiencies and effectiveness. The role of Data Scientist is to support several strategic initiatives within the Global Process Advisory Program.

Some of the primary responsibilities will be:

- Work with business and Global Process Advisory to solve problems, document results, and methodologies. Act as the trusted advisor on innovative business solutions

- Develop data mining queries for data requests relating to i.e. the work volumes and flows of processes to assist in Process Diagnostic analyses and optimization. Identify and analyze patterns in the volume of data supporting the initiative or variations

- Present and depict the rationale of their findings in easy to understand terms of the business

- Work with and alongside Global Process Advisory and business to model and frame business scenarios that are meaningful and which support business analysis and decision making for process/quality improvements and risk reduction

- Identify what data is available and relevant (i.e. in various data lakes), work with IT teams to support data collection, integration, and retention requirements based on the input collected with the business and Global Process Advisory

- Help the organization understand the principles and the math behind the process to drive efficiencies. Support the business in understanding of opportunities associated with Big Data

- Own Tableau Development for the Business Delivery Center Dashboard in Poland

- Report, analyze data & trends for the Sapience Software pre and post-implementation results

Qualifications:

- At least 7 years of professional experience, proven track record in data science (4+ years of experience)

- Solid understanding of processes, a process-thinker, and a problem solver

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

- Experience with common data science toolkits, such as R, Python

- SQL, HADOOP and SPARK experience

- Experience with data visualization tools, such as Tableau

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

- Good scripting and programming skills

- Prior experience and competency developing Share Point sites, including approval workflows