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!