Job Description

Overview:
Our client works in the Health Care Sector providing technical and financial
services.  They require a senior data
scientist with experience in Python, R or other analytical tools as well good
machine learning skill.  The role will
involve working with a team to conduct analytic studies, create risk prediction
models and bring innovative new products to market. You will apply your
knowledge of statistics, machine learning, programming, data modelling,
simulation, and advanced mathematics to recognize patterns, identify
opportunities, pose business questions, and make valuable discoveries leading.

 

Key
Roles/Responsibilities

·       Uses
analytics, statistical software and technologies (Python, SQL, R, Spark, Hadoop
etc) to analyze and interpret complex financial data.

·       Interpret
this data identifying drivers of patterns/behaviors.

·       Present
analysis and interpretation for review with management team

·       Build/maintain
production ready machine learning models.

·       Recommend
and develop business solutions through research, analysis of data and business
process.

·       Implement
proposed solutions.


Requirements

Key Skills /Qualifications

·       BSc (Masters Preferred) in Data Analytic,
Statistics, Mathematics etc with significant quantitative aspect

·       Track record in building machine learning
models

·       Strong Data Science skillset – exploratory
data analysis, comparative modelling etc.

·       Experience with relational databases and ML
Libraries – especially with Python/R

·       Experience with Spark/PySpark would be
beneficial.

·       Experience with one/more data visualization
tools

·       Ability to communicate effectively to
clients/management.

·       Good organisation & planning skillset.

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