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Senior Data Scientist
AryaXAI
- +2
- +5
- London, England, United Kingdom
- +2
- +5
- London, England, United Kingdom
Über
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'll 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. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering, Information Technology, and Analyst Industries IT Services and IT Consulting and Software Development Referrals increase your chances of interviewing at AryaXAI by 2x London, England, United Kingdom 5 days ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 1 week ago Associate (Data Scientist) - London, Wroclaw
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Wünschenswerte Fähigkeiten
- PyTorch
- Python
- Scikit-learn
- TensorFlow
- XGBoost
Berufserfahrung
- Data Engineer
- Data Scientist
Sprachkenntnisse
- English
Hinweis für Nutzer
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