Senior Data Scientist GSC’s

Key Skills

Aartificial intelligence, AWS, Azure, Business Intelligence, Data Analytics, Data Architecture, Data science techniques, Google BigQuery, Google Cloud Platform (GCP), Machine learning techniques, PowerBI, PySpark, Python Programming, R Programming, SQL

Job Description

• We are looking for a Senior Data Scientist to be an integral part of our Asset Management Data & Analytics Office (DAO) in Bangalore. This role offers a unique chance to work across various functions within Asset Management, to collaborate with technology and teams across the HSBC Group.

What you’ll do: 

• Collaborate with business areas within Asset Management to identify opportunities for enhancing commercial performance and operational efficiency using Analytics and Data Science.
• Engage with the Data Architecture function to ensure optimal data sources are used in your analytics and data science projects.
• Design and implement data engineering pipelines for data retrieval and transformation.
• Create insightful visualisations to share the findings from your analytical work with stakeholders.
• Develop Artificial Intelligence / Machine Learning models to address different business problems ranging from client retention, risk monitoring, and global portfolio management tasks.
• Act as a champion for data science, guiding business users and other analysts on analytical techniques, tools, and technologies.

Requirements

What you will need to succeed in the role:

• Proficiency in Python, PySpark, R, and SQL programming languages.
• Knowledge of visualisation tools like Tableau (preferred), Qlik, or Power BI.
• Hands-on experience with Machine Learning using platforms like Jupyter Notebooks.
• Experience with cloud service providers like Google Cloud, AWS, and Microsoft Azure.
• Strong analytical skills, with an ability to bring structure and clarity to poorly-defined problems.
• Stellar interpersonal skills, with an ability to develop strong relationships with stakeholders

What additional skills will be good to have?

• Proficiency in Google Cloud Platform technologies such as Google Cloud Storage, BigQuery, DataProc, Dataflow, Data Fusion, Dataplex and Vertex AI.
• Previous experience in Asset Management would be advantageous.
• A track record of creating and delivering Analytical Insight and Business Intelligence is desirable.
• Ability to multitask, effectively manage competing priorities, and work in a global environment.