Citi Recruitment 2026: Join Citi Recruitment 2026 as a Data Science Analyst! Freshers & graduates apply now for high-paying roles in India. Skills: Python, SQL, ML. Check eligibility, salary (₹10-15 LPA), & apply online before deadline. Limited seats!
🔍 About Citi:
Citi is more than a global financial services company. It’s an engine for progress. Join us, and you’ll have the chance to get involved in progress in all its shapes and forms, right across the world. From the micro to the macro, from Australia to Zambia, the work we do has real positive impact. Wherever you are and whatever you do, progress starts here. We’ve built a world-famous, trusted brand over 200 years of continuously evolving financial services. And today, our influence continues to grow: with financial operations in 160 countries and 100 currencies. We have 200 million different clients, including some of the biggest names in the industries, sectors, businesses and governments that we serve every day.
💼 Job Role: Data Science Analyst
Location: Bangalore
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📝 Job Description:
- 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.
Requirements:
- Bachelor’s or Master’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, Engineering, or a related discipline.
Skills:
- 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).
- 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.
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📌 Eligibility Criteria
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Qualification: Bachelor’s / Master’s Degree
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Work Experience: Freshers / Experienced
✅ How to Apply for Citi Recruitment 2026?
Interested candidates can apply online by clicking the application link below: