Human-Centered AI Data Scientist, Strategy and Talent

Standard Chartered India; Bengaluru; Hybrid; INR 1,500,000 - 2,000,000; Full time

Benefits offered by this job

Corporate retirement savings

Medical and life insurance

Flexible working options

Proactive wellbeing support

Continuous learning opportunities

Inclusive work culture

Job summary

A leading financial institution is seeking an individual to develop and implement AI models to enhance operational efficiency and client experience. Responsibilities include collaborating with stakeholders, defining AI business requirements, and utilizing data analysis to uncover insights. Candidates should have expertise in AI and related fields, as well as proficiency in data visualisation tools. The role offers flexible working options and a comprehensive benefits package, fostering a continuous learning culture.

Qualifications

• Experience in AI, mathematics, engineering, sciences, or related fields required.
• Working knowledge of machine-learning algorithms and large-language models needed.
• Proficiency in data visualisation tools is essential.

Responsibilities

• Partner with various stakeholders to identify AI opportunities.
• Define business requirements for AI applications.
• Mine large data sets to extract insights.

Skills

AI experience

Predictive models

Data visualisation tools

Natural language processing (NLP)

Python programming

Financial mathematics

Time-series analysis

Data governance

AI regulatory compliance

Quantum machine learning

Education

Degree in AI or related discipline

Tools

Matplotlib

Plotly

Power BI

Tableau

Job description

Job Summary

This role may be based in India, Malaysia, or Poland and focuses on building and deploying AI models to improve operations and client experience.

Key Responsibilities

• Partner with stakeholders including sales, relationship managers, traders, and leadership to identify opportunities where AI can optimise business.
• Define AI business requirements with tangible, measurable, and commercial success criteria.
• Mine large sets of data to uncover trends, insights, and opportunities from internal and external sources.
• Enhance data collection methods through augmentation, normalisation, and outlier removal.
• Recommend appropriate AI solutions and train AI models.
• Deliver self‑service dashboards to report on business use cases and success criteria.
• Use data visualisation to convert analytical outputs into business language.
• Embed a framework of continuous monitoring for deployed models and solutions.

Skills And Experience

• Experience and education in AI, mathematics, engineering, sciences, or a related discipline.
• Work with predictive models, machine‑learning algorithms, and large‑language models.
• Data visualisation tools such as Matplotlib, Plotly, Power BI, and Tableau.
• Natural language processing (NLP).
• Python programming.
• Financial mathematics.
• Time‑series analysis.
• Data governance and management.
• AI regulatory compliance.
• AI techniques including quantum machine learning.

Benefits

• Corporate retirement savings, medical and life insurance, with flexible and voluntary benefits in some locations.
• Time‑off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), plus minimum global standards combined to 30 days.
• Flexible working options around home and office locations with flexible patterns.
• Proactive wellbeing support via Unmind, resilience courses, global Employee Assistance Programme, sick leave, mental health first‑aiders, and self‑help toolkits.
• Continuous learning culture with opportunities to reskill and upskill via physical, virtual, and digital learning.
• Inclusive and values‑driven organization that celebrates diversity and encourages respectful collaboration.