Job Description : About the Company : Analytics Saves at Work (aSaw) is a boutique analytics consulting firm founded in 2015 by Ms. Archna Wadhwa. At present, the company has offices located in London and Bangalore along with a partner's office in Hong Kong. The vision of aSaw is to be a leading analytics consulting firm known for value creation for its clients through innovation. The values guiding aSaw in realizing the vision are innovation, excellence, integrity and collaboration which together define the culture of the company. We help firms on the journey from data to strategy; monetizing the data in the process. Our combination of products and analytics services help customers improve their top line and bottom line. With an in-house team of data scientists, software developers, consultants, and industry experts, we ensure that the data works for our clients and support data-driven decision making for competitive advantage. Our mission is to help firms unlock values of data and discover hidden efficiencies to reduce costs and/or improve revenues. Awards and Recognitions : - Startup by Govt. of India - 50 Emerging Startups to watch in 2017 - 20 Best startups in Big Data - 30 Fastest Growing Companies in ASIA Job Summary : We are seeking a focused and organized Data Analytics professional to join our clients' team. In this position, you will play a vital and strategic role and will be working at the client site. Responsibilities and Duties : - Employ and interpret appropriate data analysis techniques and statistical methodologies such as regression analysis (both linear and non-linear), cluster analysis, CHAID, factor analysis/principal component analysis, time series, survival models, experimental designs using SAS and other statistical software independently - QA/QC data and analysis output to ensure accuracy - Provide quality, statistically valid analysis and related output - Take a proactive role in analysis design and execution - Appropriately account for the timeliness and quality of all assignments - Collaborate with cross-functional internal resources - Monitor project progress relative to timeline and scope - Present statistical results to both technical and non-technical audience in a clear manner - Master degree in Statistics with a good and consistent academic record - 3 to 5 years experience preferred; fresher from top tier institutes with some data science exposure will be considered. - Expert level programming skills in Python, SAS, SQL, and R with machine learning concepts. - Beginner to intermediate skills on data visualizations tools as Tableau, Qlikview is desirable. - Solid Grounding in Statistics or any Quant Discipline Strong Data Management skills (ability to handle large data sets) - Must possess strong oral and written Communication and Presentation/Story-boarding skills - Proficiency in MS Office; including PowerPoint, Word, Excel, and Outlook - The strong analytic thought process and ability to interpret findings - Proficiency with various statistical methodologies such as regression analysis (both linear and non-linear), cluster analysis, CHAID, factor analysis/principal component analysis, time series, survival models, experimental designs using SAS and other statistical software - Able to think Big Picture - Prioritize the deliverables based on the importance - Demonstrate Can do competency in the projects Required Experience, Skills and Qualifications : Job Requirement : - 3+ Years of Data Science experience and more important with expertise in Machine learning and knowledge of SAS (mandatory). - The modeler should have a background in Python and PySpark would be preferred. - Background in cluster analysis and logistic regression. - Excellent communication skills/ Good presentation skills. - Master degree in Statistics/ Maths/ Economics with a good and consistent academic record. - Insurance industry experience a plus, but not required - History of consistently delivering business results in a timely fashion - Ability to work effectively in a dynamic, rapidly changing, team-based environment. - Must balance high-priority, long-term projects with short-term, immediate deadlines. - Solid creative thinking and problem-solving skills.

Bangalore

aSaw - Data Scientist 

aSaw - Data Scientist  ,Job Description for aSaw - Data Scientist  in Analytics Saves At Work India Pvt Ltd. in  Bangalore for (3-5) years of experience. Apply Now!

Job Description for aSaw - Data Scientist  in Analytics Saves At Work India Pvt Ltd. in  Bangalore for (3-5) years of experience. Apply Now!