11+ Retail banking Jobs in Bangalore (Bengaluru) | Retail banking Job openings in Bangalore (Bengaluru)

• 3-5yrs of practical DS experience working with varied data sets. Working with retail banking is preferred but not necessary.
• Need to be strong in concepts of statistical modelling – particularly looking for practical knowledge learnt from work experience (should be able to give "rule of thumb" answers)
• Strong problem solving skills and the ability to articulate really well.
• Ideally, the data scientist should have interfaced with data engineering and model deployment teams to bring models / solutions to "live" in production.
• Strong working knowledge of python ML stack is very important here.
• Willing to work on diverse range of tasks in building ML related capability on the Corridor Platform as well as client work.
• Someone with strong interest in data engineering aspect of ML is highly preferred, i.e. can play dual role of Data Scientist as well as someone who can code a module on our Corridor Platform writing robust code.

Structured ML techniques for candidates:

1. GBM
2. XgBoost
3. Random Forest
4. Neural Net
5. Logistic Regression

Job Title : Data Engineer – Databricks

Experience : 6+ Years

Location : Noida / Hyderabad / Chennai / Pune / Bengaluru (Hybrid)

Shift : IST (Normal Shift)

Job Summary :

We are seeking an experienced Data Engineer with strong expertise in Databricks, Snowflake, Python, and Spark to build and optimize scalable data pipelines and support AI/ML model deployments. The ideal candidate should have experience working with cloud-based data platforms and preferably possess exposure to the Healthcare domain.

Required Skills :

• Databricks (Preferred)
• Snowflake
• Python
• Apache Spark
• SQL
• Azure Cloud
• Kubernetes
• Apache Airflow
• GitHub & CI/CD Pipelines
• AI/ML Model Deployment
• Data Analytics

Preferred :

• Experience in the Healthcare domain.
• Strong understanding of scalable data engineering architectures and best practices.

We are looking for a Business Intelligence (BI)/Data Analyst to create and manage Power Bl and analytics solutions that turn data into knowledge.  In this role, you should have a background in data and business analysis. If you are self-directed, passionate about data,

and have business acumen and problem-solving aptitude, we'd like to meet you. Ultimately, you will enhance our business intelligence system to help us make better decisions.

Requirements and Qualifications

• BSc/BA in Computer Science, Engineering, or relevant field.
• Financial experience and Marketing background is a plus
• Strong Power BI development   skills including Migration of existing deliverables to PowerBl.
• Ability to work autonomously
• Data modelling, Calculations, Conversions, Scheduling Data refreshes in Power-BI.
• Proven experience as a Power BI Developer is a must.
• Industry experience is preferred.  Familiarity with other BI tools (Tableau, QlikView).
• Analytical mind with a problem-solving aptitude.

Responsibilities

• Design, develop and maintain business intelligence solutions
• Craft and execute queries upon request for data
• Present information through reports and visualization based on requirements gathered from stakeholders
• Interact with the team to gain an understanding of the business environment, technical context, and organizational strategic direction
• Design, build and deploy new, and extend existing dashboards and reports that synthesize distributed data sources
• Ensure data accuracy, performance, usability, and functionality requirements of BI platform
• Manage data through MS Excel, Google sheets, and SQL applications, as required and support other analytics platforms
• Develop and execute database queries and conduct analyses
• Develop and update technical documentation requirements
• Communicate   insights   to both   technical   and non-technical audiences.

Strong Product Designer profile.

Mandatory (Experience 1) – Must have a minimum 5+ years of experience in end-to-end Product Design (UI + UX) for B2B SaaS products or consumer tech products.

Mandatory (Experience 2) – Must have hands-on experience in both UX and UI, including User Research, User Journey Mapping, Wireframing, Prototyping, and Visual Design.

Mandatory (Portfolio) – Must have a strong design portfolio showcasing case studies of complete product design work — including UX-focused projects such as user research, personas, user flows, information architecture, and high-fidelity UI designs for B2B dashboards, SaaS products, or consumer-facing apps.

Mandatory (Tools) – Must be proficient in design tools such as Figma (wireframing, prototyping, design systems).

Mandatory (Company) – B2B SaaS OR Top Consumer-Tech Products (Swiggy, Dunzo, Nykaa, Cred)

Responsibilities:

• Design, develop, and maintain scalable automation frameworks using Java, Selenium, TestNG, and Cucumber.
• Automate UI and API test cases for web applications and microservices.
• Validate message queues, data streams, and integrations using Apache Kafka.
• Participate in test planning, test case design, and peer reviews to ensure high-quality delivery.
• Collaborate with cross-functional teams, including development, DevOps, and product management.
• Monitor and maintain automated test suites and regression tests.
• Integrate test automation with CI/CD pipelines using tools like Jenkins.
• Analyze test results, log defects, and track them to closure.
• Contribute to the continuous improvement of QA processes, tools, and best practices.

Requirements:

• 5-8 years of strong hands-on experience in Automation Testing.
• Expertise in Java and solid understanding of Object-Oriented Programming.
• Proficiency in Selenium WebDriver, TestNG, and Cucumber.
• Experience working with Kafka for event-driven architecture testing.
• Solid understanding of API Testing (RestAssured or Postman).
• Familiarity with Git, Jenkins, Maven/Gradle, and CI/CD concepts.
• Good knowledge of Agile methodologies.
• Strong analytical, problem-solving, and debugging skills.
• Excellent communication and documentation abilities.

• Identify bad code practices in Ruby and write new analyzers to detect them.
• Improve the coverage of automatically fixable issues.
• Ensure fewer false-positives are reported by the analyzer.
• Work on the internal tools that support analysis runtimes.
• Contribute to open-source static analysis tools.

We’re looking for someone who has:

• Strong foundational knowledge in Computer Science.
• At least 3 years of professional software development experience in Ruby.
• Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).
• Familiarity with Ruby best practices followed in the industry.
• Native experience with Linux/Unix environment.
• A focus on delivering high-quality code through strong testing practices.

• Required to work individually or as part of a team on data science projects and work closely with lines of business to understand business problems and translate them into identifiable machine learning problems which can be delivered as technical solutions.
• Build quick prototypes to check feasibility and value to the business.
• Design, training, and deploying neural networks for computer vision and machine learning-related problems.
• Perform various complex activities related to statistical/machine learning.
• Coordinate with business teams to provide analytical support for developing, evaluating, implementing, monitoring, and executing models.
• Collaborate with technology teams to deploy the models to production.

Key Criteria:

• 2+ years of experience in solving complex business problems using machine learning.
• Understanding and modeling experience in supervised, unsupervised, and deep learning models; hands-on knowledge of data wrangling, data cleaning/ preparation, dimensionality reduction is required.
• Experience in Computer Vision/Image Processing/Pattern Recognition, Machine Learning, Deep Learning, or Artificial Intelligence.
• Understanding of Deep Learning Architectures like InceptionNet, VGGNet, FaceNet, YOLO, SSD, RCNN, MASK Rcnn, ResNet.
• Experience with one or more deep learning frameworks e.g., TensorFlow, PyTorch.
• Knowledge of vector algebra, statistical and probabilistic modeling is desirable.
• Proficiency in programming skills involving Python, C/C++, and Python Data Science Stack (NumPy, SciPy, Pandas, Scikit-learn, Jupyter, IPython).
• Experience working with Amazon SageMaker or Azure ML Studio for deployments is a plus.
• Experience in data visualization software such as Tableau, ELK, etc is a plus.
• Strong analytical, critical thinking, and problem-solving skills.

• B.E/ B.Tech./ M. E/ M. Tech in Computer Science, Applied Mathematics, Statistics, Data Science, or related Engineering field.
• Minimum 60% in Graduation or Post-Graduation
• Great interpersonal and communication skills