Data Scientist

HSBC Global Services Limited; Sheffield; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading company in financial services is seeking a highly experienced Data Scientist to drive innovation using data and AI. This role involves leading impactful projects that translate complex data into strategic insights, fostering a culture of data-driven decision-making while mentoring other data professionals.

Benefits

Inclusive workplace

Career progression opportunities

Qualifications

• Demonstrable experience in data science and advanced analytics.
• Expertise in SQL, Python, and machine learning frameworks.
• Strong experience with cloud platforms and data/ML services.

Responsibilities

• Identify and lead data-driven initiatives, focusing on performance improvements.
• Design and run experiments to validate hypotheses.
• Mentor junior data scientists and ensure continuous learning.

Skills

Data Processing

Advanced Analytics

Model Development

SQL

Python

Machine Learning

Data Visualisation

MLOps

Cloud Platforms

Tools

TensorFlow

PyTorch

scikit-learn

Qlik

Looker

Postman

GCP

AWS

Azure

Job description

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Technology teams in the UK work closely with our global businesses to help design and build digital services that allow our millions of customers around the world to bank quickly, simply, and securely. They also run and manage our IT infrastructure, data centres, and core banking systems that power the world’s leading international bank. Our multi-disciplined teams include DevOps Engineers, IT Architects, Front and Back End Developers, Infrastructure specialists, Cyber experts, as well as Project and Programme managers.

We are looking for a highly experienced and visionary Data Scientist to drive innovation through data and artificial intelligence. This role is ideal for an individual who can identify, lead, and execute impactful data science and AI projects, transforming complex data into strategic insights within a dynamic environment.

About the Role:

You will be responsible for leveraging advanced analytical techniques and cutting-edge AI technologies to address critical business challenges. This involves proactively identifying opportunities, leading initiatives from concept to deployment, and fostering a culture of data-driven decision-making.

Responsibilities:

• Strategic Data Insights: Proactively identify and lead key data-driven initiatives, focusing on improving performance and efficiency, particularly in the DevSecOps space (e.g., DORA Metrics).
• Rapid Experimentation: Design and execute "learn-fast" experiments to explore new ideas, validate hypotheses, and accelerate learning and innovation.
• Advanced Analytics & Visualisation: Conduct in-depth data analysis, develop sophisticated predictive models, and create compelling visualisations to communicate actionable insights to diverse stakeholders through strong storytelling.
• Data Science Thought Leadership: Stay at the forefront of Data Science and AI technology, including generative AI, discerning impactful advancements from emerging trends, and advising on their strategic application to enhance capabilities.
• Documentation & Collaboration: Develop and maintain comprehensive documentation for data models, system assumptions, and both business and technical workflows, ensuring transparency and knowledge sharing.
• Mentorship & Influence: Mentor other data scientists and foster an environment of continuous learning and excellence.
• Lead AI Initiatives: Drive the end-to-end lifecycle of AI and machine learning projects, including problem definition, data acquisition, model development, experimentation, and operationalisation.

Experience/Skill Sets:

• Demonstrable experience in data science, showing strong expertise in data processing, advanced analytics, and model development.
• Expertise in SQL and statistical programming languages (e.g., Python, R), coupled with a deep understanding of data modelling principles.
• Mastery of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and their application in complex problem domains.
• Extensive experience with MLOps principles and tools for model deployment, monitoring, versioning, and lifecycle management.
• Proven experience with analytics and visualisation toolkits such as Qlik, Looker, or similar platforms, along with basic API skills (e.g., Postman) for integration and data ingestion.
• Proficiency with the latest AI technology stack and practical experience with generative AI applications, including prompt engineering and fine-tuning.
• Strong experience with cloud platforms (e.g., GCP, AWS, Azure) and their data/ML services (e.g., BigQuery, Databricks, Vertex AI, Sagemaker).
• Experience with DevSecOps performance metrics, e.g., strong background with DORA Metrics and other relevant performance indicators.

We value diverse perspectives and are committed to creating inclusive workplaces. At HSBC, we’re dedicated to removing barriers and ensuring careers are inclusive and accessible for everyone. We are a Disability Confident Leader and will offer interviews to candidates with disabilities, long-term conditions, or neurodivergence who meet the minimum criteria for the role.

If you require accommodations or changes during the recruitment process, please contact our Recruitment Helpdesk.