Your role :
As a Data Scientist you are passionate about technology and will work as part of a talented team delivering Data projects and solutions to a wide and varied set of clients, across different industry sectors.
We offer a unique place to work. The combination of rapid growth and an international and innovative environment! This is creating a lot of opportunities for people like YOU people with an entrepreneurial spirit who want to make a difference in this world.
At Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative, and successful.
And this is your chance to be part of the success story : we are looking for Data Scientist to join our Cognizant Digital Operations (CDO)Team.
At Cognizant Digital Operations
Cognizant Digital Operations help enterprises step-change faster without massive organizational upheaval by simultaneously being more innovative and efficient.
We help accelerate the evolution of a business, without the need for revolution. CDO practice is growing fast and accelerating the mix of knowledge areas and experience.
We work with clients on the frontlines to take them to new frontiers of efficiency.
How will you do this?
Understand transaction data and develop Analytics insights using Statistical models using R’ and / or Python’
Should understand the prebuilt ML models
Should test the robustness of the models
Should provide insights on the robustness of the models relative to various inputs provided to the model (sensitivity analysis)
Communicate the understanding to Business audience
ML model building to develop predictive insights
Building SQL queries for data extraction for exploratory analysis
Preparing the reports based on the model trends using Tableau / Power BI Dashboards
What you will bring to the team :
MSc. (Ops Research / Econometrics / Statistics) or MBA (Finance / Systems) with 5+ years relevant work experience in Statistical and ML models.
Or BSC (Econometrics) with 3 - 7 yrs of ML modeling / coding experience.
Ground up Data understanding, Hypothesis formulation, data preparation and model building experience needed
Demonstrated creative problem-solving approach and strong analytical skills
SQL querying skills; experience Tableau or any visualization tools is needed
Expert modeling knowledge of developing Statistical & ML models using R’ and / or Python’ ( generalized linear models, logistics / linear Regression, Tree based and Boosting models Decision trees, Random Forest, XGBoost etc.
Basic understanding of Neural network and deep learning models)
Exposure in Analytics understanding in Banking, Finance, Insurance or Healthcare
Experience in working in Machine learning / Pattern recognition areas
High attention to detail and decent articulation skills
Desired experience working with global teams
Continuous process improvement / Quality experience is a plus
Fluent in written and spoken English.
What we offer :
A competitive salary based on your experience.
Access to Udemy, Cognizant Academy digital libraries for your continuous learning.
NS business card to cover your commute expenses.
25 days of paid holiday per year.
A laptop and a smartphone.
A pension scheme.
Organization driven by technology we have a tremendous technology backbone.
Open, can do’ team spirit and international environment that encourages making your ideas reality!
36-40 hour working week