Data Scientist

Job ID: 19406

Location: Bangalore, IN

Area of interest: Data and Analytics

Job type: Regular Employee

Work style: Office Working

Opening date: 11 Mar 2025

**Job Summary**-
- where the role is based.- You will collaborate on a wide range of product and business problems with a diverse set of cross-functional stakeholders such as but not limited to Human Resources, Corporate Affairs and Brand Marketing, Corporate Real Estate Solutions, Supply Chain Management, Chief Data Office - Responsible AI and Data Ethics, Technology, Businesses, Conduct and Compliance, and Legal to ensure responsible adoption of AI solution within S&T.- Responsible AI advocacy: You will act as the beacon of change and advocacy on human-centered AI, responsible AI, data and AI ethics, cross all cross-functional and S&T business engagements, to cross-pollinate ideas and values.
- AI-innovation measurements: You will guide teams to understand AI methods, data, and insights. You will design and advice logical desirability signals, qualitative, and quantitative metrics to evaluate the return of investment on AI and innovation solutions.
- Communication and influence: You will translate, convince, and influence S&T business and cross-functional stakeholders using clear insights, use cases, and recommendations in approachable and simple terms. You will build credibility through structure, clarity, and socialization.

**Key Responsibilities**
- Bias and fairness assessment and AI explainability: Design test cases, advise methods, and deploy methods, especially on fairness, data suitability, and explainability for AIML solutions to meet internal RAI standards. You will be expected to develop, advice, consult, and/or implement testing methods to identify and mitigate biases in datasets and AI models, minimizing unjust bias.
- Create tools and processes to enhance the explainability of AI models, fostering transparency and trust in algorithm decision-making. Ensuring explainability in human factors along the AI adoption journey
- Vendor liaison: Liaise and evaluate AI offerings and technical documentations of third-party enterprise AI vendors and internal AI vendors to inform business decision making and RAI governance
- Review and validate AI use cases based on the applicable standards, assessments, and controls required to adhere to Responsible AI standards, uphold data and AI ethics, and other AI-related governance, including ongoing and future AI and data audits
- Communicate AIML methods and data concepts in simple terms to non-technical stakeholders
- Drive data and AI ethics awareness through data, insights, and/or use cases discussions with S&T stakeholders
- Embed and advocate for human-centricity in AI solutions development and downstream impact on people and processes
- Define impact metrics, measurements, and other levers of success for AI solutions and products impacting S&T business
- Partner with Responsible AI, Technology, Cybersecurity, and other cross-functional teams to inform, influence, support, and execute S&T AI solution strategy and investment decisions
- Proactively research to stay current on emerging trends, AI and data regulations, and best practices in RAI, actively proposing improvement and adaptations to our approach
- Participate in strategic initiatives and working groups that set the pace for strategic directions on (gen)AI adoption

**Regulatory and Business Conduct**
- Display exemplary conduct and live by the Group’s Values and Code of Conduct.
- Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
- Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

**Other Responsibilities**
- Embed Here for good and Group’s brand and values in team
- Perform other responsibilities assigned under Group, Country, Business or Functional policies and procedures
- Multiple functions (double hats)

**Skills and Experience**
- Business Communication Skills
- Critical thinking
- Data Science, Statistics
- ML, DL, NLP
- SQL, Dataiku
- Generative AI - LLMs, fine-tuning techniques
- AI ethics
- Specific skills - to craft out interview process and interview guides for interviewers later on:
**Soft skills**:

- Effective business communication skills including but not limited to vendor management, data translation, and data storytelling skills
- Excellent change management and business process skills with ability to develop strategy, evaluate efficacy
- Empathetic, growth mindset, human-centric approach, entrepreneurial spirit, resourceful, excellent cross-functional, interdisciplinary collaboration skills
- Creative thinking, critical thinking, and conscientiousness

**RAI Skills**
- Knowledge of AI ethics, AI risk, human