Data Scientist- Insurance industry (Exp: 5+ years)
Data Science job opportunity in Bangalore Gurgaon with a global Analytics firm for an individual with at least 5 years of experience in supervised and unsupervised machine learning algorithm in Python. Our client is looking for an individual who has expert in regression, classification, segmentation, NLP, deep leaning and deep learning and holds good exposure in the insurance industry. If this role is what you are looking, then read on!
LOCATION: Bangalore/Gurgaon
YOUR FUTURE EMPLOYER:
A leading global analytics products & services firm providing marketing and customer analytics and big data analytics.
YOU WILL BE RESPONSIBLE FOR:
Working on advanced statistical and quantitative analysis skills - e.g. Machine Learning, Statistical modeling, Time Series Analysis, etc.
Execute project plan to meet client requirements and timelines
Deliver production-ready models that can be deployed in the client’s system, if required
Ability to efficiently manipulate datasets identify the hidden insights. Inquisitive mind and willingness to make the difference
Exposure to API building and deployment
Prepare high impact presentations highlighting project approach, deliverables and benefits
Implementing data science solutions in production environments
THE SUCCESSFUL CANDIDATE:
Expertise with a programing language (Python / R preferred; SAS is a plus, but not required)
Expertise in data wrangling / data prep for modeling
Expertise in statistical model building and machine learning (GLM, GBM / XGBoost, RF, etc.)
Expertise in model deployment / implementation methods
Proficiency with SQL and Excel/VBA
WHAT IS IN FOR YOU: -
• An opportunity to define, lead and co-ordinate the technical functions of the company.
• Liaise extensively with stakeholders.
• A meritocratic culture with great career progression.
REACH US:- If you think this role will add value to your career, kindly write me an email along with your updated CV on Ravjot.kaur@crescendogroup.in or connect on 7652803515 for a confidential discussion on the role.