Citi is hiring for an FRESHER entry level Data Science Analyst role in India

Position:

• Data Science Analyst, positioned as an entry level trainee role within the analytics and decision management function
• Focused on supporting data science initiatives, assisting in model building, and contributing to data driven decision making processes
• Designed as a foundational role that helps individuals transition into full scale data science responsibilities over time

Company:

• Citi
• A globally recognized financial services organization operating across multiple countries and serving millions of customers
• Known for its strong presence in banking, credit services, wealth management, and institutional financial solutions

Location:

• Bengaluru, Karnataka, India
• One of India’s major technology and analytics hubs, offering exposure to a strong ecosystem of data professionals and innovation driven companies

Job type:

• Full time role designed for early career professionals entering the analytics and data science domain

Job mode:

• Hybrid work model combining in office collaboration with remote flexibility

Job requisition id:

• 26954427

Years of experience:

• 0 to 3 years, suitable for freshers and early career candidates looking to build a strong foundation in data science

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Company description:

• Citi operates as one of the largest financial institutions in the world, serving clients ranging from individuals to large corporations and governments
• The organization has a workforce of over 230,000 professionals globally, reflecting a highly diverse and inclusive environment
• Citi provides a wide range of services including consumer banking, credit cards, corporate banking, investment banking, and wealth management
• The company focuses heavily on leveraging technology and analytics to improve customer experience, risk management, and operational efficiency
• Employees at Citi are encouraged to grow through structured learning programs, cross functional collaboration, and exposure to global markets
• The organization places a strong emphasis on ethical practices, inclusion, and equal opportunity for all employees
• Citi supports innovation by integrating advanced technologies such as machine learning, artificial intelligence, and big data into its core operations
• The company also invests in employee well being, offering programs that support work life balance, continuous learning, and career advancement
• Working at Citi means being part of a global network that values impact, collaboration, and long term growth
• Employees are given opportunities to contribute to meaningful projects that influence financial systems and customer experiences across the globe

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Profile overview:

• This role is structured as a trainee level analytics position, aimed at building strong technical and analytical foundations in data science
• The individual will work under guidance while gradually gaining independence in handling data related tasks and projects
• The role requires understanding of processes, systems, and workflows involved in analytics and decision management
• Candidates will contribute to solving business problems using data driven approaches while learning industry best practices
• The position involves interacting with multiple teams including senior data scientists, engineers, and business stakeholders
• The individual is expected to make decisions based on structured analysis and factual data, ensuring accuracy and relevance
• Responsibilities will have a direct but limited impact on business outcomes, primarily through the quality of analysis and deliverables
• The role emphasizes learning through practical exposure, mentorship, and structured training programs
• Candidates will develop communication skills by presenting insights and findings to both technical and non technical audiences
• The position also introduces modern concepts such as semantic search, retrieval augmented generation, and agent based AI systems
• Over time, the role prepares individuals for more advanced responsibilities in machine learning, analytics, and AI driven solutions
• It is ideal for candidates who are curious, analytical, and motivated to build a career in data science

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Qualifications:

• Candidates should hold a Bachelor’s or Master’s degree in fields such as Computer Science, Statistics, Mathematics, Economics, Engineering, or similar quantitative disciplines
• Strong foundational knowledge of programming languages like Python or R is expected, including familiarity with libraries such as Pandas, NumPy, and Scikit learn
• Basic understanding of SQL is required for working with databases and extracting relevant datasets
• Candidates should have a solid grasp of statistical concepts including hypothesis testing, regression, and probability
• Familiarity with data visualization tools like Matplotlib, Seaborn, Tableau, or Power BI is important for presenting insights effectively
• A conceptual understanding of machine learning algorithms such as linear regression, logistic regression, and decision trees is expected
• Strong problem solving skills are essential to analyze data and identify meaningful patterns
• Effective communication skills are required to explain technical findings in a simple and clear manner
• Candidates should demonstrate curiosity and willingness to continuously learn new tools and techniques
• Ability to work collaboratively in a team environment is important for project success
• Attention to detail is critical when handling data to ensure accuracy and reliability
• Additional exposure to tools like Git for version control is beneficial
• Familiarity with cloud platforms such as AWS, Azure, or GCP can be an added advantage
• Knowledge of big data technologies like Spark or Hadoop is considered useful but not mandatory
• Participation in projects, online courses, or competitions related to data science adds value to the profile

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Additional info:

• The role includes a structured mentorship program where experienced professionals guide trainees through real world challenges
• Employees are encouraged to participate in continuous learning initiatives including workshops, training sessions, and self study
• The position offers exposure to diverse datasets and business problems, helping candidates gain practical experience
• The work environment is collaborative, encouraging innovation and knowledge sharing among team members
• The company provides competitive compensation along with benefits that support employee well being
• There is a clear career progression path, with opportunities to transition into a full Data Scientist role after successful completion of the trainee phase
• Candidates will gain exposure to advanced concepts such as semantic search and retrieval augmented generation frameworks
• The role also involves working with modern AI frameworks like Langchain and agent based systems
• Employees will develop reporting skills by creating dashboards and visualizations that communicate insights effectively
• The organization promotes diversity and inclusion, ensuring equal opportunities for all employees
• The position is ideal for individuals who want to build a long term career in analytics and data science within a global organization
• The hybrid work model offers flexibility while maintaining opportunities for in person collaboration
• The role emphasizes both technical development and soft skill enhancement, preparing candidates for future leadership roles

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Key Responsibilities:

• Assist in collecting large datasets from multiple sources while ensuring completeness and accuracy
• Perform data cleaning and preprocessing tasks to prepare datasets for analysis and modeling
• Conduct exploratory data analysis to uncover trends, patterns, and relationships within the data
• Support feature engineering processes to improve model performance and accuracy
• Assist in building and training basic machine learning models under supervision
• Evaluate model performance and contribute to improvements based on feedback
• Maintain proper documentation for datasets, processes, and analytical outputs
• Collaborate with cross functional teams to understand business requirements and deliver solutions
• Participate in training programs and learning initiatives to enhance technical skills
• Prepare reports and visualizations that communicate insights clearly to stakeholders
• Contribute to development of AI driven solutions using modern frameworks and techniques
• Assist in implementing semantic search and retrieval based systems for advanced analytics use cases

Please click here to apply.