Some careers shine brighter than others.
If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. 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.
HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.
We are currently seeking an experienced professional to join our team in the role of Lead Consultant Specialist
In this role, you will:• Utilize statistical techniques and machine learning algorithms to analyse large datasets and derive actionable insights. Also, design, develop, and deploy data-driven applications, from data collection and preprocessing to model building, deployment, and visualization.• Assists with initial data collection and understands which analysis techniques appropriate and which tools are necessary for data exploration. Develops a foundational understanding of methodology and standard statistical options to analyse and organize data as required.• Transforms problems into analysis plans for data telemetry, metrics, predictive modelling, machine learning algorithms, and statistical models to solve complex problems. Implement model deployment strategies (e.g., web APIs or microservices) to enable real-time predictions or integration with existing systems.• Work across engineering and product teams to enable metrics for product success. Understands modelling techniques used within the team, then run model tools n prepared data sets.• Create and implement code for a product, service, or feature reusing code as applicable. Supports identification of dependencies, and the development of design documents for a product feature with oversight• Collaborate with cross-functional teams: Work closely with data engineers, software developers, and business stakeholders to understand requirements, gather insights, and translate business problems into data science solutions.• Continuous improvement and research: Stay updated with the latest advancements in data science, machine learning, and software development. Research and experiment with new tools, frameworks, and approaches to enhance data science capabilities.