Union Bank of India invites applications for the following posts via direct recruitment:

Post Name: Data Scientist

Essential Qualification:

1. M.Sc. in Statistics/ B.Tech/MCA

2. Minimum 60% marks in the applicable qualification from above

Desirable Qualification:

1. Ability to work independently, manage small engagements or parts of large engagements

2. Strong problem solving and troubleshooting skills with the ability to exercise mature judgment

Essential Work Experience: The candidate should have at least 5+ years of hands-on experience in mathematical modelling, machine learning, Advanced Analytics, AI and ML Use Cases with at least 3 years of technical experience & functional knowledge in Banking Industry

Desirable Experience:

1. Should be strong in probability and foundations of machine learning

2. Advanced working knowledge of Python/R or other languages/technologies for performing complex data modeling and analysis

3. Breadth of knowledge across statistical methods, machine learning models, deep learning, natural language processing, conceptual modeling, predictive modeling, hypothesis testing to solve data problems

4. Expert level knowledge in frameworks/libraries such as NumPy, OpenCV, Pandas, Tensor Flow, Keras, Scikit-learn, NLTK, etc.

5. Good knowledge of data visualization, SQL, ETL, and data management concepts

6. Strong analytical thinking, and problem-solving skills

7. Strong business acumen to understand context of the research situation and identify data analytics opportunities to differentiate analysis.

8. Guide analytics process by framing hypotheses and stating research problem to accurately reflect the research situation

Post Name: Machine Learning Engineer

Essential Qualification:

1. B. Tech/MCA

2. Minimum 60% marks in the applicable qualification from above

Desirable Qualification:

1. Strong problem solving and troubleshooting skills with the ability to exercise mature judgment

2. Ability to work independently, manage small engagements or parts of large engagements

Essential Work Experience: At least 5+ years of hands-on data science experience using Python, R for data analytics, visualization, statistical programming, data mining and NLP for problem solving and minimum 3 years’ experience in Banking Industry

Desirable Experience:

1. Understanding of data structures, data modeling and software architecture

2. Ability to write robust code in Python, Java and R

3. Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

4. Machine learning, recommendation systems, pattern recognition, data mining and artificial intelligence

5. Translating insights into business recommendations

6. Scripting languages, including Perl, Python, PHP, and shell scripts

7. SQL, ETL, and data modeling

8. Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, Yolo, Pytorch and Keras to help our customers build DL models.

9. Statistics methods, including forecasting, time series, hypothesis testing, classification, clustering or regression analysis, and statistical/mathematical software (R)

10. Strong business acumen to understand context of the research situation and identify data analytics opportunities to differentiate analysis.

For more details related to eligibility criteria, fee, pattern, annexure, place of posting etc. refer to the attachments below.