Analyst, Data ScienceIndia, Malaysia, Philippines

Job Description

Job Summary

This role could be based in India Malaysia and Philippines. When you start the application process you will be presented with a drop down menu showing all countries, Please ensure that you select a country

where the role is based.

As a Responsible AI Data Scientist for Strategy and Talents Human-Centered AI and Innovation Department at Standard Chartered, you will work at the forefront of empowering responsible AI adoption within Strategy and Talent (S&T), and thereby help shape the future of employee/candidate-facing AI solutions that S&T enable and influence for the entire organization. This role demands a strong understanding of machine learning techniques, and an avid interest in AI ethics, especially addressing potential biases in data and algorithms, explainability, AI literacy, and strategies to promote transparency and accountability.

By applying your technical skills, responsible AI practices, human-centric mindsets, and start-up intuition to AI and innovation solutions in both early-stage experimentations and strategic initiatives, you will help define the strategy and experiences we build for our clients, partners and colleagues globally.

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
Apply technical data science expertise to support S&T AI solutions and products throughout the lifecycle of responsible AI governance and advise responsible AI adoption according to our Group RAI Standards and RAI governance process
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 Groups 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 Groups 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-centered AI, model and data governance practices and related business and technology issues related to enterprise-wide information
Awareness of best practices in testing bias, fairness and stability, and ability to understand results from risk management
Experience in industry best practices of model risk management and AI fairness and explainability, including model validation, reproducibility, statistical and engineering process control, quality assurance, and data/model shift

AIML domain expertise
Real world experience with machine/deep learning, artificial intelligence, statistical analysis and modelling, natural language/computational linguistics, computer vision, signal processing, and/or generative AI, preferably in Python
MLOps and data engineering
Knowledge and experience with dataiku, databricks, MLOps, and both SQL and noSQL database design, queries, and storage

Qualifications
5+ years of work experience in a data science capacity
OR minimum of 3+ years of work experience in a data science capacity with a Doctorate in a quantitative discipline*
OR Field transfers from 4+ years of work experience in analytics, risks and governance, tech and operations, legal, and/or Data Privacy with a Masters, MPhil, or Ph.D. in a quantitative discipline* or 2+ equivalent data science work experience
Real world experience with machine/deep learning, artificial intelligence, statistical analysis and modelling, natural language/computational linguistics, computer vision, signal processing, and/or generative AI, preferably in Python
Aware of AI ethics, AI risk, human-centered AI, model and data governance practices and HR-related AI regulations and policies
Experience influencing and partnering with cross-functional stakeholders and third-party vendors
Effective business communication skills including but not limited to vendor management, data translation, and data storytelling skills
Bachelors degree in Computer Science, Data Science, Statistics, Artificial Intelligence
Preferred Qualifications
Masters, MPhil, or Doctorate degree in quantitative discipline* like Computer Science, Data Science, Statistics, Artificial Intelligence, Human-computer interaction, Computational Linguistics, Behavioral Sciences
Familiarity with legal and regulatory requirements related to AI
Hands-on experience on AI ethics and data ethics governance
Experience working in highly regulated industries like finance and healthcare
Practical experience with genAI (LLMs/RAG), agentic AI, dataiku, databricks, MLOps, and both SQL and noSQL database design, queries, and storage
5+ years of work experience in Risk Management and Governace, Privacy, Security, Compliance, Investigations, Operations, Auditing, and/or Finances
Awareness of best practices in testing bias, fairness and stability, and ability to understand results from risk management
Experience in industry best practices of model risk management and AI fairness and explainability, including model validation, reproducibility, statistical and engineering process control, quality assurance, and data/model shift

About Standard Chartered

We’re an international bank, nimble enough to act, big enough for impact. For more than 170 years, we’ve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you’re looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can’t wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you’ll see how we value difference and advocate inclusion.

Together We
Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What We Offer

Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
Flexible working options based around home and office locations, with flexible working patterns.
Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies – everyone feels respected and can realise their full potential.,