Data Scientist - Machine Learning/Artificial Intelligence

Responsibilities : - Support Internal and External Clients with the understanding of Data Science design and methodology. - Accompanies senior leaders meet with clients to understand business needs and help offer innovative solutions. - Assists on creating new solutions use cases, proof of concept and prototypes by exploring diverse data sets using tools such as python/r. - Collaborates with other Data Science team units. - Automate and develop solutions for existing processes. - Efficient and effective with basic guidance and coaching Qualifications, Experience : - Professionals with degrees in Math, Data Science, Statistics, Actuarial Science, or related fields involving statistical analysis of large data sets. - 0-2 years of experience in market research or relevant field. Soft skills : - Passionate about innovation and technology - Problem-Solving skills - Ability to effectively convey complex concepts to non-experts - Intellectual curiosity and persistence to find answers to questions - Eager to continuously learn and adapt to changing technologies and tools. - Good command of written and spoken English. - Good collaborative and interpersonal skills to communicate at all levels. (Preferred) - Entrepreneur mindset (Preferred) Analytical and Technical skills : - Basic understanding of Statistics. - Good aptitude for data analysis. - Critical/ logical thinking. - Experienced with programming languages such as Python - Familiar with cognos analytics. - Familiarity with marketing analytics, including designing experiment and consumer behavior analysis. What can you expect from us ? You will get trained on the following modules for a period of 12-14 weeks : - SQL & PLSQL - Data Wrangling using Python - Data Visualization Using Power-BI - Statistics for Machine Learning - Artificial Intelligence, Data Interpretation - Supervised & Unsupervised Learning - NLP & Deep Learning - Cognos Analytics - Cloud Data Lake - Business intelligence & Data Visualization - Simulation Projects Expected Outcome ? At the end of the Training, you are expected to be well versed with the following : - Analysis of large and complex data sets from multiple sources - Development and evaluation of data analytics models, algorithms, and solutions - Understanding/implementation of ML algorithms, performance tuning, and reporting - Implementation of algorithms to mine targeted data and the ability to convert data into a business story - Translation of business requirements into technical requirements; Data extraction, preparation, and transformation - Identification, development, and implementation of statistical techniques and algorithms that address business challenges and adds value to the organization - Requirement Analysis and communication of findings in the form of a meaningful story with the stakeholders - Finding analytical solutions to abstract business issues. - Apply objective analysis of facts before coming to a conclusion Our Benefits : - Flexible working environment - Health insurance - Parental leave - Life assurance Apply Job!