bengaluru karnataka information science engineering Jobs – 5051 Open Jobs Today

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Data Science Analyst

Citi -
Bengaluru, Karnataka

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Job details

Qualifications

Power BI
Azure
Computer Science
Big data
Spark
NumPy
R
Git
Tableau
Master's degree
SQL
Pandas
AWS
Analysis skills
Bachelor's degree
Machine learning
Version control systems
Regression analysis
Data science
Data visualization
AI
Communication skills
Python
Hadoop

Full job description

Job Req Id:

26954427

Location(s):

Bengaluru, Karnataka, India

Job Type:

Hybrid

Posted:

Apr. 10, 2026

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

The Spec Analytics Analyst is a trainee professional role. Requires a good knowledge of the range of processes, procedures and systems to be used in carrying out assigned tasks and a basic understanding of the underlying concepts and principles upon which the job is based. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Makes evaluative judgements based on the analysis of factual information. They are expected to resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Must be able to exchange information in a concise way as well as be sensitive to audience diversity. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own job.

Key Responsibilities

Data Collection & Cleaning: Assist in collecting, cleaning, and preprocessing large datasets to ensure data quality and integrity.
Exploratory Data Analysis (EDA): Conduct basic exploratory data analysis to identify trends, patterns, and insights.
Feature Engineering Support: Support the creation and selection of features for machine learning models.
Model Development Assistance: Help in building, training, and evaluating basic machine learning models under guidance.
Documentation: Maintain clear and concise documentation of data processes, models, and analytical findings.
Collaboration: Work closely with senior data scientists, engineers, and business stakeholders.
Learning & Development: Actively participate in training programs, workshops, and self-study to enhance data science skills.
Reporting: Assist in preparing reports and visualizations to communicate findings effectively.

Qualifications

Education

Bachelor's or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, Engineering, or a related discipline.

Essential Skills (Technical)

Programming: Foundational knowledge in Python (Pandas, NumPy, Scikit-learn) or R.
Database Skills: Basic understanding of SQL for data extraction and manipulation.
Statistical Concepts: Solid understanding of basic statistical concepts (e.g., hypothesis testing, regression).
Data Visualization: Familiarity with data visualization tools/libraries (e.g., Matplotlib, Seaborn, Tableau, Power BI).
Machine Learning Basics: Conceptual understanding of common machine learning algorithms (e.g., Linear Regression, Logistic Regression, Decision Trees).

Essential Skills (Soft)

Problem-Solving: Strong analytical and problem-solving abilities.
Communication: Excellent verbal and written communication skills to explain technical concepts to non-technical audiences.
Learning Agility: High curiosity and a strong desire to learn new technologies and methodologies.
Teamwork: Ability to work effectively in a collaborative team environment.
Attention to Detail: Meticulous approach to data handling and analysis.

Preferred Qualifications (Optional but beneficial)

Experience with version control systems (e.g., Git).
Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
Experience with big data technologies (e.g., Spark, Hadoop).
Participation in data science bootcamps, online courses, or personal projects/Kaggle competitions.

What We Offer

Structured mentorship program with experienced data scientists.
Opportunities for continuous learning and professional development.
Exposure to real-world data science challenges and diverse datasets.
A collaborative and innovative work environment.
Competitive salary and benefits package.
Pathway to a full-fledged Data Scientist role upon successful completion of the trainee program.
Development of search techniques / esp semantic search
Development of solutions using RAG framework for building Gen AI solutions
Development of Agentic solution using frameworks like Langchain / Google Agent space, etc

Job Family Group:

Decision Management

Job Family:

Specialized Analytics (Data Science/Computational Statistics)

Time Type:

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Apply Now

Refine Your Search

information science engineering jobs in bengaluru karnataka

Data Science Analyst

Interns

Junior Data Scientist

Engineer - Application Support N 4A

Graduate Engineer Trainee

Quality Professional – QMS Systems & Training Management

Service Integration & Management - Problem Management

Database Engineer I

Data Science - (Gen AI Developer) - Analyst

Engineering Project/Program Manager

Fullstack Developer- ITO Transition

AI Engineer – RTL Front-End Flow Optimization

SRE SW Development Engineer 1 (Junior/Associate)

PMO - Consultant

Engineering Manager

Software Engineer at GE Healthcare

Consultant – EMEA Life Sciences, Strategy Consulting

Data Scientist

R&D Engineer - India Development Centre

Engineering Operations Manager

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