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