Senior Data & Analytics Engineer – Artificial Intelligence at Bank for International Settlements – BIS

✨ The Stack take on this Bank for International Settlements – BIS job

• 🏢 Bank for International Settlements – BIS has 8 jobs here, 8 with visa sponsorship see all
• 🛂 Visa: Non-EU work permit guide

Updated 2026-11-05, from our data and official sources.

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About the role

Responsibilities:
- Translate business requirements into scalable AI and analytics solutions, focusing on production-ready implementations.
- Design, build and maintain data pipelines and pre-processing flows for large, often unstructured, datasets used in AI models.
- Architect, integrate and deploy Large Language Model (LLM) applications; develop APIs and interfaces for system integration.
- Implement testing, evaluation and monitoring methodologies for AI models, ensuring performance, robustness and fairness over time.
- Provide production support and maintenance for deployed models and analytics services; troubleshoot issues and ensure reliability.
- Collaborate with stakeholders across business, treasury and IT to align solutions with organisational needs and governance.
- Mentor junior engineers, share best practices, and represent BIS in external technical events as directed.
- Continuously evaluate new tools, frameworks and research to improve efficiency and outcomes.

Requirements:
- Degree in Computer Science, Data Science, Engineering or a related field (or equivalent experience).
- Proven track record designing and delivering AI/ML systems, with hands-on experience in Python and production tooling.
- Practical experience with LLMs, model evaluation/testing frameworks, and handling large unstructured datasets.
- Strong background in data engineering: building ETL/ELT pipelines, data validation and scalable architectures.
- Experience developing APIs and integrating ML services into existing platforms.
- Familiarity with cloud environments, MLOps practices, model monitoring and lifecycle management.
- Excellent communication and stakeholder-management skills; experience mentoring junior staff.
- Prior exposure to financial or regulated environments and knowledge of data governance/security is a plus.

Responsibilities

The role involves designing and implementing AI applications, specifically focusing on Large Language Models and data pipelines. You will translate business requirements into technical solutions and provide production support for deployed AI services.

Requirements

Requires a degree in Computer Science, Data Science, or Engineering with a proven track record of building AI solutions and proficiency in Python. Experience in financial environments and mentoring junior staff is considered a plus.

Key skills

• Artificial Intelligence — in 26 other listings on The Stack
• Data Engineering — in 120 other listings on The Stack
• Python — in 1200 other listings on The Stack
• Large Language Models — in 46 other listings on The Stack
• API Development — in 126 other listings on The Stack
• Data Pipelines — in 113 other listings on The Stack
• Analytical Modeling — in 1 other listing on The Stack
• Data Pre-processing — not in any other listing on The Stack
• Testing and Evaluation Methodologies
• Stakeholder Management
• Mentoring

On The Stack (as of 2026-11-05)

• Bank for International Settlements – BIS has 7 other listings on The Stack, 7 of them marked as offering visa sponsorship.
• 18 visa-sponsored jobs in Switzerland on The Stack, posted in the last 60 days.

Frequently asked questions about Bank for International Settlements – BIS

Is this Senior Data & Analytics Engineer – Artificial Intelligence role still open?

It was posted on 2026-07-03. Listings more than 30 days old may no longer be active, so check Bank for International Settlements – BIS's site before applying.

Does Bank for International Settlements – BIS offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Bank for International Settlements – BIS's site.

Where is this role located?

The listing gives the location as Switzerland. It is marked on-site.

What skills does this role ask for?

The listing names: Artificial Intelligence, Data Engineering, Python, Large Language Models, API Development, Data Pipelines, Analytical Modeling, Data Pre-processing, Testing and Evaluation Methodologies, Stakeholder Management, Mentoring.