Data Scientist (AI Model Developer)
Role details
Job location
Tech stack
Job description
Join DLL's AI development team as a Data Scientist specializing in Generative AI and Machine Learning, and help shape the future of AI across our global financial organization. In this high - impact role, you will design and develop GenAI and ML solutions that strengthen compliance, reduce risk, and create smarter, more seamless customer and partner experiences. Working closely with stakeholders in Risk, Compliance, Sales, and Operations, you will turn complex business challenges into production-ready AI products that deliver measurable outcomes, improving decision - making, accelerating processes, and unlocking new value. You'll play a key role in advancing DLL's AI strategy, guiding responsible AI adoption, and scaling GenAI and ML capabilities across the enterprise.
What You'll Do
- Design, develop, evaluate, and deploy ML models for risk, compliance, sales, and operations.
- Implement and optimize GenAI applications such as RAG pipelines, document intelligence, summarization, and prompt evaluation.
- Partner with business teams to identify impactful AI opportunities and translate them into technical solutions.
- Lead Responsible AI initiatives including model monitoring, explainability, and auditability.
- Promote AI literacy across the organization through demos, workshops, and best practices.
All members enjoy
- Two working days per year volunteering for a local charity.
- Health and Wellness program including healthy food, free health checks, fun health & vitality activities.
- Flexible hours with possibility to work from home
- Career development opportunities: online learning, member development programs.
"We not only live up to the expectations of our customers for today, but also anticipate their market needs of tomorrow."
Requirements
Do you have experience in Spark?, Do you have a Master's degree?, * Master's in Data Science in Engineering, or equivalent experience.
- 2+ years applying ML to large datasets with production deployments you can speak to (SLA, latency, monitoring, retraining) .
- Strong Python, SQL, and Spark skills; experience with Databricks and Azure DevOps (or equivalent cloud-based ML tooling).
- Hands-on experience with GenAI/NLP techniques (e.g., transformers, embeddings, retrieval, prompt engineering).
- Solid understanding of model monitoring, drift detection, data quality, and Responsible AI frameworks.
- Proven ability to conduct stakeholder discovery and turn business problems into measurable ML/GenAI deliverables.
- Excellent communication skills; comfortable working in Agile/SCRUM teams.
Bonus Points
- Experience in finance, leasing, or regulated industries (risk modelling, KYC/AML, sanctions, regulatory reporting).
Benefits & conditions
DLL's wellbeing ambition is to educate, equip and empower members to build connections, manage their mental, emotional, physical and financial wellness and maintain balance between work and the other priorities that make up their lives.
Our four wellbeing categories are as follows:
- Connection - Build meaningful connections with other DLL members
- Health - Manage mental, emotional and physical health
- Finance - Provide learning opportunities to help members achieve personal financial health
- Lifestyle - Maintain balance between work and life priorities
These are the things that matter to our members and the wellbeing of our members matters to DLL