Job Title:
Data Miner, Global Analytic
Job Description
Your Journey at Concentrix + Webhelp Starts Here:
At Concentrix + Webhelp, our mission is to be the greatest customer engagement services company in the world, rich in diversity and talent. We believe in doing right by and for people, our clients, their customers, our staff, our communities, and our planet.
We cannot achieve this vision without you!
If you have an interest in improving our performance for the world’s best brands in over 70 countries spanning 6 continents, please continue reading. There are a few characteristics we look for across all our hires regardless of the team they are working for. If this is you, we would love to discuss career opportunities with you.
* Are you ready to reimagine the world?
* Does working for a company who invests in the future and is inspiring in the marketplace intrigue you?
* Are you bold in your decisions, and do you have contrarian views on how to run a business?
Concentrix + Webhelp provides eligible employees with an opportunity to enroll in many benefit programs, generally including private medical plans, great compensation package, retirement savings plans, paid learning days, and flexible workplaces. Specific benefits plans will vary by country/region.
In our Concentrix Catalyst team, you will work with the engine that powers the experience design and engineering capabilities at Concentrix. A leading global solutions company that reimagines everything CX through strategy, talent, and technology. We combine human-centered design, powerful data, and strong tech to accelerate CX transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision.
We’re a remote-first company looking for the absolute best talent in the world.
#LI-Onsite
Data Miner, Global Analytics
Job Location: Gurgaon / Bangalore / Pune / Mumbai / Hyderabad / Chennai / Kolkata.
You will be reporting to Manager, Global Analytics
You are responsible develop Machine Learning / Predictive Analytics models.
Responsibilities:
Convert client's business problem into statistical problem and develop appropriate solutions.
Develop suitable Machine Learning models
Leverage experience in Machine Learning to improve existing solutions and design bespoke solutions.
Skills and Qualification:
- 3 - 4 years of experience in developing Machine Learning and specifically at least 3 years on Analytics solutions for problems.
- Hands-on experience in creating and developing fraud solutions in the BFSI / Healthcare / Telcom domains
- Experience in Deep Learning, NLP & GenAI at the workplace.
- Present solutions/ analysis to leadership/key stakeholders
- Proficient in open-source programming including Python
- Understanding of NLP, Data Engineering, Cloud Computing, ML Engineering.
- Data cleaning and preparation (Missing value handling, Pipelines)
- Develop Regression based models, Support Vector Machines, Random Forests & Neural Networks for Fraud Analytics
- Expertise in handling issues related to Model Overfitting & Underfitting, understanding of Cross-Validation, Feature generation, Gradient descent & XG boost)
- Data visualization using POWER BI or Tableau, or any other visualization tool is desirable.
- Experience on at least one of the tools like SAS, SQL, SPSS etc. is desirable.
- Understanding of statistical techniques.
- Preferred MBA/ M.SC from Statistics / Economics / Mathematics, Graduate – B-Tech / BE or B.Sc. in Statistics / Economics / Mathematics
Benefits:
You will be eligible for Group Medical Insurance as per the medical insurance policy.
Location:
IND Gurgaon - Bld 14 IT SEZ Unit 1, 17th C & D and Gd Flr D
Language Requirements:
Time Type:
Full time
If you are a California resident, by submitting your information, you acknowledge that you have read and have access to the Job Applicant Privacy Notice for California Residents
