Wait, What Do You Do?

<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Job Summary</b></H2> </div><div><p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><strong>This role could be based in India and Malaysia. 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.</strong><br><br> • As a Responsible AI Data Scientist for Strategy and Talent’s 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.<br>• 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.<br>• 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.<br>• [A] 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.<br>• [B] 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.<br>• [C] 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.</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Key Responsibilities</b></H2> </div><div><p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• 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</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• 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.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• 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</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• 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</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• 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 </span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Communicate AIML methods and data concepts in simple terms to non-technical stakeholders </span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Drive data and AI ethics awareness through data, insights, and/or use cases discussions with S&T stakeholders</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Embed and advocate for human-centricity in AI solutions development and downstream impact on people and processes </span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Define impact metrics, measurements, and other levers of success for AI solutions and products impacting S&T business</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• 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</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• 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 </span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Participate in strategic initiatives and working groups that set the pace for strategic directions on (gen)AI adoption </span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:16.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"></H2> </div><div><p><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Regulatory and Business Conduct</span></strong><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Display exemplary conduct and live by the Group’s Values and Code of Conduct. </span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• 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.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Skills and Experience</b></H2> </div><div><p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Business Communication Skills</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Critical thinking</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Data Science, Statistics</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• ML, DL, NLP </span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• SQL, Dataiku </span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Generative AI – LLMs, fine-tuning techniques</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• AI ethics</span><br><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Specific skills – to craft out interview process and interview guides for interviewers later on: </span></strong><br><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Soft skills: </span></strong><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Effective business communication skills including but not limited to vendor management, data translation, and data storytelling skills</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Excellent change management and business process skills with ability to develop strategy, evaluate efficacy </span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Empathetic, growth mindset, human-centric approach, entrepreneurial spirit, resourceful, excellent cross-functional, interdisciplinary collaboration skills </span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Creative thinking, critical thinking, and conscientiousness </span><br><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">RAI Skills</span></strong><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• 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</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Awareness of best practices in testing bias, fairness and stability, and ability to understand results from risk management </span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• 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</span><br><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">AIML domain expertise </span></strong><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• 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</span><br><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">MLOps and data engineering</span></strong><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Knowledge and experience with dataiku, databricks, MLOps, and both SQL and noSQL database design, queries, and storage</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Qualifications</b></H2> </div><div><p><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Required/Minimum qualifications</span></strong><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• 5+ years of work experience in a data science capacity </span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">o OR minimum of 3+ years of work experience in a data science capacity with a Doctorate in a quantitative discipline*</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">o 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 </span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• 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</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Aware of AI ethics, AI risk, human-centered AI, model and data governance practices and HR-related AI regulations and policies</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Experience influencing and partnering with cross-functional stakeholders and third-party vendors</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Effective business communication skills including but not limited to vendor management, data translation, and data storytelling skills</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Bachelor’s degree in Computer Science, Data Science, Statistics, Artificial Intelligence</span><br><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Preferred Qualifications</span></strong><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Masters, MPhil, or Doctorate degree in quantitative discipline* like Computer Science, Data Science, Statistics, Artificial Intelligence, Human-computer interaction, Computational Linguistics, Behavioral Sciences</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Familiarity with legal and regulatory requirements related to AI</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Hands-on experience on AI ethics and data ethics governance</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Experience working in highly regulated industries like finance and healthcare</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Practical experience with genAI (LLMs/RAG), agentic AI, dataiku, databricks, MLOps, and both SQL and noSQL database design, queries, and storage </span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• 5+ years of work experience in Risk Management and Governace, Privacy, Security, Compliance, Investigations, Operations, Auditing, and/or Finances</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Awareness of best practices in testing bias, fairness and stability, and ability to understand results from risk management </span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• 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</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Role Specific Technical Competencies</b></H2> </div><div><p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Communication Skills</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Critical thinking</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Data Science, Statistics</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Machine Learning, NLP </span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• SQL</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Generative AI – LLMs, fine-tuning techniques (RAG) </span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>About Standard Chartered</b></H2> </div><div><p>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.</p> <p>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.</p> <p>Together we:</p> <ul> <li><b>Do the right thing</b> and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do</li> <li><b>Never settle,</b> continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well</li> <li><b>Are better together,</b> we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term</li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>What we offer</b></H2> </div><div><p><b>In line with our Fair Pay Charter,</b> we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.</p> <ul> <li><b>Core bank funding for retirement savings, medical and life insurance,</b> with flexible and voluntary benefits available in some locations.</li> <li><b>Time-off</b> 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.</li> <li><b>Flexible working</b> options based around home and office locations, with flexible working patterns.</li> <li><b>Proactive wellbeing support</b> 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</li> <li><b>A continuous learning culture</b> to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.</li> <li><b>Being part of an inclusive and values driven organisation,</b> one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.</li> </ul></div></div></div>

Data Scientist (Responsible AI), Strategy and Talent (India, Malaysia) (Bangalore, IN)