Union Bank Of India Data Scientist Recruitment 2023 | Union Bank Of India Data Scientist Job Notification 2023 | Union Bank Of India Data Scientist 2023 Online Application @ https://www.rites.com/– Union Bank Of India invites Online applications for the recruitment of 04 Data Scientist, Machine Learning Engineer Posts. This online facility will be available in the Official website @ https://www.rites.com/ from 02.08.2023 to 22.08.2023.
Union Bank Of India Recruitment 2023 [Quick Summary]
| Organization Name: | Union Bank Of India Ltd |
| Job Category: | Central Govt Jobs |
| Employment Type: | Contractual Basis |
| Total No of Vacancies: | 04 Data Scientist, Machine Learning Engineer Posts |
| Place of Posting: | Gurgaon |
| Starting Date: | 02.08.2023 |
| Last Date: | 22.08.2023 |
| Apply Mode: | Online |
| Official Website | https://www.rites.com/ |
Latest Union Bank Of India Data Scientist Vacancy Details:
Union Bank Of India Invites Applications for the Following Posts
| SI No | Name of Posts | No. of Posts |
| 1. | Data Scientist | 02 |
| 2. | Machine Learning Engineer | 02 |
| Total | 04 |
Union Bank Of India Data Scientist Eligibility Criteria:
Educational Qualification:
| 1. Data Scientist – Educational Qualification: Mandatory: – M.Sc. in Statistics/ B.Tech/MCA -Minimum 60% marks in the applicable qualification from above Desirable: – Ability to work independently, manage small engagements or parts of large engagements – Strong problem solving and troubleshooting skills with the ability to exercise mature judgment Experience: Mandatory: – 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: – 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 – Breadth of knowledge across statistical methods, machine learning models, deep learning, natural language processing, conceptual modeling, predictive modeling, 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 context of the research situation and identify data analytics opportunities to differentiate analysis. – Guide analytics process by framing hypotheses and stating research problem to accurately reflect the research situation – Excellent people interaction skills: ability to manage complex stakeholder requests – Excellent written & oral communication skills 1. Data Scientist – Educational Qualification: Mandatory: – M.Sc. in Statistics/ B.Tech/MCA -Minimum 60% marks in the applicable qualification from above Desirable: – Ability to work independently, manage small engagements or parts of large engagements – Strong problem solving and troubleshooting skills with the ability to exercise mature judgment Experience: Mandatory: – 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: – 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 – Breadth of knowledge across statistical methods, machine learning models, deep learning, natural language processing, conceptual modeling, predictive modeling, 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 context of the research situation and identify data analytics opportunities to differentiate analysis. – Guide analytics process by framing hypotheses and stating research problem to accurately reflect the research situation – Excellent people interaction skills: ability to manage complex stakeholder requests – Excellent written & oral communication skills |
| 2. Machine Learning Engineer – Educational Qualification: Mandatory: – 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, manage small engagements or parts of large engagements Experience: Mandatory: – 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 minimum 3 years’ experience in 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 context of the research situation and identify data analytics opportunities to differentiate analysis. – Excellent people interaction skills: ability to manage complex stakeholder requests – Excellent written & oral communication skills |
Age Limit: (As on 01.08.2023)
| 1. Data Scientist – Min- 25 Max -35 |
| 2. Machine Learning Engineer – Min- 25 Max -35 |
Candidates Relaxation in Upper Age limit will be provided as per Govt. Rules. Go through Union Bank Of India official Notification 2023 for more reference
Salary Details:
| 1. Data Scientist – Scale III |
| 2. Machine Learning Engineer – Scale II |
Union Bank Of India Data Scientist Selection Process 2023:
Union Bank Of India may follow the following process to select the candidates.
| 1. Short Listing |
| 2. Interview |
Application Fee/Exam Fee for Union Bank Of India Data Scientist:
| UR/EWS/OBC – Rs. 850.00 (Inclusive of GST) |
| SC/ST/PwBD – 175.00 (Inclusive of GST) * |
| Note: The applicants shall pay the Application Fee as indicated in the Table Above through Online Payment Mode Only. |
How to apply for Union Bank Of India Data Scientist Post:
Candidates are advised to check Bank’s website ‘www.unionbankofindia.co.in’ under “Recruitments” > “Careers Overview” link regularly for details and updates (including the list of shortlisted/ selected candidates). The Call letter/ advice will be sent by e-mail /Bank’s Website (no hard copy will be sent).
Important Dates for Union Bank Of India Data Scientist Post:
| Starting Date for Submission of Application | 02.08.2023 |
| Last date for Submission of Application | 22.08.2023 |
Union Bank Of India Data Scientist Official Notification & Application Link:
| Union Bank Of India Official Website Career Page | Click Here |
| Union Bank Of India Official Notification PDF | Click Here |
| Union Bank Of India Online Application Form | Click Here |
