Post Name and Vacancies for Union Bank of India Recruitment 2023:

According to the official notification of Union Bank of India Recruitment 2023, there are 04 vacancies open for the post of Data Scientist and Machine Learning Engineer.

Age Limit for Union Bank of India Recruitment 2023:

As mentioned in the official notification of Union Bank of India Recruitment 2023, the minimum age limit is 25 years and the maximum age limit is 35 years as on the date of 01.08.2023.

Salary for Union Bank of India Recruitment 2023:

As per the official notification of Union Bank of India Recruitment 2023, the selected candidate’s monthly salary will be presented depending on the candidate’s credentials, experience, and general fit for the open positions after negotiations, and it won’t be a bar for qualified candidates. The payment will be made on a commission basis.

Qualification for Union Bank of India Recruitment 2023:

As stated in the official notification of Union Bank of India Recruitment 2023, the essential qualification is mentioned below-

For Data Scientist-

• M.Sc. in Statistics/ B.Tech/MCA.
• Minimum 60% marks in the applicable qualification from above.

Desirable-

• Ability to work independently and manage small engagements or parts of large engagements.
• Strong problem-solving and troubleshooting skills with the ability to exercise mature judgment.

For Machine Learning Engineer-

• B. Tech/MCA.
• Minimum 60% marks in the applicable qualification from above.

Desirable-

• Strong problem-solving and troubleshooting skills with the ability to exercise mature judgment.
• Ability to work independently, and manage small engagements or parts of large engagements.

Experience for Union Bank of India Recruitment 2023:

In accordance with the official notification of Union Bank of India Recruitment 2023, the required experience is listed below-

For Data Scientist-

• The candidate should have at least 5+ years of hands-on experience in mathematical modeling, machine learning, Advanced Analytics, AI and ML
• Use Cases with at least 3 years of technical experience & functional knowledge in the Banking Industry.

Desirable-

• Should be strong in probability and foundations of machine learning.
• Advanced working knowledge of Python/R or other languages/technologies for performing complex data modeling and analysis.
• The breadth of knowledge across statistical methods, machine learning models, deep learning, natural language processing, conceptual modeling,  predictive modeling, and hypothesis testing to solve data problems.
• Expert-level knowledge in frameworks/libraries such as NumPy, OpenCV, Pandas, TensorFlow, Keras, Scikit-learn, NLTK, etc.
• Good knowledge of data visualization, SQL, ETL, and data management concepts.
• Strong analytical thinking, and problem-solving skills.
• Strong business acumen to understand the context of the research situation and identify data analytics opportunities to differentiate analysis.
• Guide the analytics process by framing hypotheses and stating the research problem to accurately reflect the research situation.
• Excellent people interaction skills, and the ability to manage complex stakeholder requests.
• Excellent written & oral communication skills.

For Machine Learning Engineer-

• At least 5+ years of hands-on data science experience using Python, R for data analytics, visualization, statistical programming, data mining & NLP for problem-solving and a minimum of 3 years experience in the Banking Industry.

Desirable-

• Understanding of data structures, data modeling and software architecture.
• Ability to write robust code in Python, Java and R.
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).
• Machine learning, recommendation systems, pattern recognition, data mining and artificial intelligence.
• Translating insights into business recommendations.
• Scripting languages, including Perl, Python, PHP, and shell scripts.
• SQL, ETL, and data modeling.
• Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, Yolo, Pytorch and Keras to help our customers build DL models.
  Statistics methods, including forecasting, time series, hypothesis testing, classification, clustering or regression analysis, and statistical/mathematical software (R).
• Strong business acumen to understand the context of the research situation and identify data analytics opportunities to differentiate analysis.
• Excellent people interaction skills and the ability to manage complex stakeholder requests.
• Excellent written & oral communication skills.

Selection Process for Union Bank of India Recruitment 2023:

According to the official notification of Union Bank of India Recruitment 2023, the candidates will be selected on the basis of shortlisting-cum-interaction/interview. Only shortlisted candidates will be called for the interview. The Bank’s Screening Committee will determine the shortlisting parameters, and an acceptable number of candidates, as determined by the Bank, will be shortlisted and invited for interviews. The Bank’s choice to invite a candidate for an interview shall be final.

Application Fee for Union Bank of India Recruitment 2023:

As per the official notification of Union Bank of India Recruitment 2023, candidates who belong to UR/EWS/OBC have to pay Rs.850 (inclusive of GST) and candidates who belong to SC/ST/PwBD have to pay Rs.175 (inclusive of GST). The payment can be made by using a Debit Card/ Credit Card/ Internet Banking/UPI etc. by providing information as asked on the screen.

How to Apply for Union Bank of India Recruitment 2023:

As mentioned in the official notification of Union Bank of India Recruitment 2023 notification, interested and willing candidates have to apply online through the official website on or before the last date. No other mode of application will be accepted.

The last date for submitting the online application is 22.08.2023. No application will be considered after the due date.