Senior Data Scientist in London

AryaXAI stands at the forefront of AI innovation, revolutionizing how AI is applied in mission-critical, highly regulated industries by building explainable, safe, and aligned systems that scale responsibly. Our mission is to empower banks, financial institutions, energy companies, and other large enterprises to unlock AI’s full potential—while meeting the highest standards of transparency, compliance, and risk management.

We thrive on deep collaboration, hands-on ownership, and a relentless drive to push the boundaries of what AI can do in real-world, high-stakes scenarios. At AryaXAI, every team member plays a critical role in shaping the future of trustworthy AI systems.

Role Overview

As a Senior Data Scientist, you will lead the development and deployment of advanced machine learning solutions tailored for regulated, high-impact environments, with a primary focus on highly regulated industries like financial services, banking, insurance, etc. Your work will directly support critical use cases such as fraud detection, underwriting, anomaly detection, and other risk-sensitive operations. This is a hands-on, strategic role where explainability, model auditability, and operational integration are just as important as accuracy and innovation.

Responsibilities:

• Fine-tune, evaluate, and implement classic and deep learning models optimized for enterprise and regulatory environments.
• Balance accuracy, efficiency, scalability, and compliance across a wide range of business-critical use cases.
• Architectural Assessment: Assess and recommend appropriate model architectures that align with business goals and satisfy regulatory and infrastructure constraints, especially in FSI environments.
• Lead seamless integration of AI models into enterprise systems—on-prem or in the cloud—ensuring low-latency performance, traceability, and security.
• Specialization in Regulated Use Cases: Design AI solutions for complex applications including fraud monitoring, underwriting, risk scoring, AML, anomaly detection, and financial forecasting.
• Collaborate with domain experts and compliance teams to incorporate regulatory guardrails and auditability directly into the ML lifecycle.
• AI Governance & Explainability: Leverage and contribute to AryaXAI’s inferencing stack to ensure that models are not just powerful—but trustworthy, interpretable, and aligned.
• Cross-Functional Collaboration: Work with ML engineers, data platform teams, and product stakeholders to deliver scalable, production-grade solutions that are aligned with enterprise needs.
• Documentation & Compliance: Maintain rigorous documentation and model governance records suitable for internal audits and external regulatory reviews.

Qualifications

Core Experience: 5+ years of experience applying data science or ML in regulated industries (financial services, banking, insurance, energy, etc.). Demonstrated success in building ML models for mission-critical applications where compliance, accuracy, and robustness are key. Hands-on experience in one or more of the following domains is highly valued: Underwriting, fraud detection, anomaly detection, credit scoring, AML/KYC, operational risk.

Technical Proficiency: Strong command of Python and experience with ML/DL frameworks such as scikit-learn, PyTorch, TensorFlow, XGBoost, etc. Comfortable working with complex, multimodal datasets including tabular, textual, and time-series data. Familiarity with ML Ops pipelines for deployment, monitoring, and lifecycle management of models in production. Experience with model interpretability and fairness tools (e.g., SHAP, LIME, Captum).

Bonus Points: Knowledge of regulatory standards (e.g., model risk management, explainability mandates, bias/fairness compliance). Experience in hybrid or multi-cloud environments, including secure, on-premise model deployment. Contributions to peer-reviewed publications, open-source projects, or internal AI governance initiatives.

What You’ll Get: Competitive salary and meaningful equity. Premium health insurance for you and your family. Opportunity to work on high-impact, real-world AI challenges in finance, insurance, energy, and beyond. Direct influence over platform strategy and model design at a high-growth AI company. Career progression in a flat, high-performance team that values craft, curiosity, and integrity.

If you’re passionate about deploying AI where it truly matters, in sectors where accuracy, auditability, and trust are non-negotiable—we’d love to talk.