Data Scientist at I&M Bank

The Digital factory will work under a special function hived off from the day to day operations and will collaborate with different functions of the Bank to deliver solutions that are customer centric in design and that will radically simplify business requirements and scale fast to full utilization using a clean sheet approach to deliver the desired value.

REF: DS /6/2018

JOB SUMMARY:

The role holder will be responsible for designs, prototypes, and building the next-generation analytics engines and services with basic visualization ability.

KEY ACCOUNTABILITIES

The Incumbent will report to the Digital Factory Manager or any other official as may be designated and will be responsible for:

• Evaluating the business problem and thinking of possible data sources and algorithms to develop a hypothesis.
• Thinking about the logic and math behind the code to generate insights from chaotic data
• Developing robust analytical models to address complex business problems and driving innovation.
• Conducting advanced statistical analysis to provide actionable insights , identifying trends and measuring performance
• Implementing data solutions through basic visualization tools
• Providing thought leadership by researching best practices, conducting experiments, and collaborating with business leaders

COMPETENCIES REQUIREMENT:

Qualification

• MS/PhD in computer science, statistics, or operations research or related technical discipline (eg. math)
• Expert in working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, etc.)

Experience

• 7+ years’ experience in a statistical and/or data science role, with deep knowledge of machine learning, statistics and optimization
• Considerable experience with a wide range of tools including SparkML, H2O, FlinkML, TensorFlow, etc.
• Experience in working with basic visualization tools such as Tableau and Qlik, etc.
• Excellent written and verbal communication skills along with strong desire to work in cross functional teams

Knowledge

• Deep knowledge of machine learning, statistics, optimization or related field
• Experience with R, Python, Matlab is required, programming in C, C++, Java
• Knowledge of computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)
• Attitude to thrive in a fun, fast-paced start-up like environment