Lead the design, development, and deployment of cutting-edge AI solutions and agentic AI frameworks for the banking sector.
Compensation
$176,720.00 - $265,080.00
Responsibilities
Spearhead the end-to-end design, hands-on implementation, and deployment of scalable, robust agentic AI frameworks and generative AI solutions
Build full-stack applications that seamlessly integrate state-of-the-art ML/LLM tools and services into comprehensive AI solutions
Champion an MVP-first approach, focusing on rapid iterations, hypothesis testing, and A/B experiments
Design and implement rigorous metrics for AI system and performance
Proactively explore, prototype, and integrate the latest advancements in AI, particularly agent-based systems, autonomous AI, and generative technologies
Ensure quality of products that technology delivers, working closely with all applications, common services/middleware, and infrastructure teams throughout the development/engineering lifecycle.
Compensation
The salary for this specific position in Tempe, AZ is $129,290.10 per year. Salary: $55,000.00 - $120,000.00
Responsibilities
Record and document testing results and compare to expected results
Conduct independent analysis and assessment to resolve strategic issues
Design, develop, execute, and maintain test plans and strategies for ETL processes to ensure accurate transformations and integration
Load data from source systems to target data warehouse, data mart and reporting systems
Develop detailed test cases, scenarios, and scripts tailored for finance and compliance data
We are looking for a data-driven problem solver who can turn complex customer and product data into clear business opportunities. You’ll be comfortable digging deep into user behavior, spotting patterns across the customer lifecycle, and translating them into actionable insights for product and marketing teams.
Locations (4)
Vilnius, Vilnius, Lithuania
Kaunas, Kaunas, Lithuania
Warsaw, Masovian, Poland
Poland
Responsibilities
Define, track, and optimize key metrics and KPIs for product and marketing teams.
Analyze users and products to find new business opportunities and areas for improvement.
Develop and maintain automated reports and dashboards that provide visibility into customer behavior and product performance.
We’re looking for a data-driven problem solver who can turn complex customer and product data into clear business opportunities.
Locations (3)
Vilnius, Vilnius, Lithuania
Kaunas, Kaunas, Lithuania
Poland
Responsibilities
Define, track, and optimize key metrics and KPIs for product and marketing teams.
Analyze users and products to find new business opportunities and areas for improvement.
Develop and maintain automated reports and dashboards that provide visibility into customer behavior and product performance.
Conduct deep-dive analyses on customer cohorts, segmentation strategies, and touchpoints to uncover growth and optimization opportunities.
Build, support, and replicate data structures (including database structures, table building, reporting, data visualization, regression analysis, time series, etc.).
Work directly with risk managers to understand requirements and turn them into practical tools and reports, building data pipelines and enhancing data analysis processes.
Responsibilities
Build and enhance data pipelines covering data import, ETL, transformation, and report generation
Develop and improve processes for data analysis, asset valuations, and custom risk measure calculations
Present data through dashboards and visualizations
Document work for internal and regulatory audiences
Follow good engineering practice for source control and deployment
Positioned at the intersection of Strategy and Technology, this role involves identifying relevant use cases, taking AI solutions from prototype to production, and transforming businesses through data and AI.
Responsibilities
Apply analytical thinking and creativity to develop the next generation of data science solutions and advance the use of Generative AI and Agentic AI.
Work in interdisciplinary teams to identify opportunities for improvement and develop targeted analyses, analytics strategies, operating models and value architectures.
Work with leading global companies and institutions to take data-driven use cases from initial idea to implementation at scale.
Own a use case or project workstream and contribute expertise to proposals for new use cases.
Collaborate closely with decision-makers to implement and scale AI solutions in real-world environments.
Requirements
Master’s degree or PhD in physics, mathematics, statistics, computer science, data science, engineering or economics
Concevoir et alimenter un observatoire de la qualité de service Wi-Fi domestique à partir des données générées par les Livebox, les répéteurs Wi-Fi et les équipements connectés.
Responsibilities
Définir les besoins opérationnels en collaboration avec les experts Wi-Fi, data scientists et les équipes produit
Transformer les données disponibles en indicateurs utiles (caractériser l’écosystème Wi-Fi des foyers)
Exploiter ces indicateurs pour améliorer le diagnostic et la prise de décision en construisant une typologie des situations rencontrées
Analyser les données déjà disponibles, développer des méthodes statistiques et des modèles de machine learning
Évaluer la pertinence des indicateurs et des recommandations produites (hors ligne et en test terrain)
Stage de développement et d’intégration de solutions DevOps/DevSecOps pour la sécurité et l’automatisation des mises à jour d’applications.
Responsibilities
Produire automatiquement un tableau de bord sécurité d’une application en capitalisant sur les métriques des outils CICD et sécurités
Comprendre et analyser la chaîne CICD, cartographier les workflows existants, identifier les points de fragilité, inefficacités et risques opérationnels
Explorer et évaluer des algorithmes d’IA pertinents pour développer des modèles prédictifs capables d’anticiper les impacts des mises à jour
Requirements
Étudiant(e) en informatique, cyber-sécurité ou ingénierie
Lead Data Scientist (GenAI) to design and deliver enterprise‐scale AI solutions using LLMs, RAG, and MCP. The role partners with business and technical leaders to build secure, scalable, high‐value GenAI capabilities across the organization.
Responsibilities
Lead GenAI architecture and design scalable solutions for enterprise use cases
Build modular LLM pipelines using LangChain, LlamaIndex, and similar frameworks
Define prompting, agent, and RAG strategies that can be reused across teams
Manage the full lifecycle of GenAI projects from development through deployment and MLOps
Ensure responsible AI including governance, compliance, and explainability
Requirements
Bachelor's degree in computer science, data science, ML, NLP, AI, linguistics, or related field
Conduct deep-dive analyses on customer cohorts, segmentation strategies, and touchpoints to uncover growth and optimization opportunities.
Build, support, and replicate data structures (including database structures, table building, reporting, data visualization, regression analysis, time series, etc.).
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