Data Science analyst

• **hackajob** is collaborating with • *HSBC** to connect them with exceptional professionals for this role.* • *Some Careers Open More Doors Than Others.** If you’re looking for a career that will unlock new opportunities, join HSBC and experience the possibilities. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further. • *Job Introduction** The role holder will deliver end to end, the projects in the analytics and ML domain. He/she will collaborate with Senior WPB Leadership team to determine and prioritize immediate requirements, and anticipate future Analytics, ML, BI/MI, Campaign, and data needs. Responsible to work on prioritized Analytics projects, handling trigger engine and critical Sr. Management/Group/Region ad-hoc requests and consulting to ensure high quality delivery of actionable insights, modelling, product, network analytics and business analysis. • *Principal Responsibilities** This position would entail functional management as an individual contributor. The incumbent would be required to • Support the design, development, and deployment of data science solutions to help achieve IWPB business objectives, under the guidance of senior team members. • Assist in building, validating, and maintaining machine learning models, learning best practices for model lifecycle management. • Work closely with business stakeholders to understand requirements and help translate them into analytical solutions, with mentorship from experienced colleagues. • Participate in project tasks such as data extraction, cleaning, and basic analysis, gradually building skills towards independent project management. • Collaborate with cross-functional teams (business, technology, operations) to ensure alignment and timely delivery of project milestones. • Prepare and present findings and recommendations to both technical and non-technical audiences using Excel and PowerPoint, with support and feedback from the team. • Apply foundational analytics and statistical techniques to solve business problems, with opportunities to learn advanced methods. • Utilize SQL, Python, and/or SAS for data manipulation and analysis, with training and support provided as needed. • Gain exposure to cloud platforms (e.g., Google Cloud Platform) for scalable data processing and model deployment. • Stay updated with the latest trends in data science, machine learning, and generative AI, and proactively seek opportunities to learn and apply new techniques. • Contribute to a culture of continuous learning and upskilling within the team. • Ensure all work adheres to HSBC’s data governance, privacy, and compliance standards. • *Qualifications/Requirements** • Bachelor’s or master’s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering, Economics, or related discipline). • Academic exposure to data analysis, statistics, or machine learning (coursework, projects, internships, or certifications). • Basic knowledge of programming languages such as Python, SQL, or SAS. Willingness to learn and improve technical skills. • Familiarity with Excel and PowerPoint for data analysis and presentations. • Strong analytical and problem-solving skills, with the ability to interpret data and draw meaningful insights. • Effective communication skills; able to explain technical concepts in simple terms. • Ability to work collaboratively in a team environment and contribute to group objectives. • Demonstrated enthusiasm for continuous learning and professional development. • Interest in the banking and financial services domain is a plus. • Exposure to data visualization tools (e.g., Tableau, Power BI) or cloud platforms (e.g., GCP) is an advantage, but not required. • Keen interest in generative AI and related technologies is desirable. • *Diversity Statement, Data Protection and Entity Statement** As a business operating in markets all around the world, we believe diversity brings benefits for our customers, our business and our people. This is why HSBC is committed to being an inclusive employer and encourages applications from all suitably qualified applicants irrespective of background, circumstances, age, disability, gender identity, ethnicity, religion or belief and sexual orientation. We want everyone to be able to fulfil their potential which is why we provide a range of flexible working arrangements and family friendly policies. • *Additional Information** • The tenure of the Apprentice will be 1 (one) year as defined under Apprentices Act, 1961 and Apprenticeship Rules 1992 amended from time to time. • All Apprentices engaged by the