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Job Summary: Provides strategic leadership for CXI Agentic AI & Analytics discovery, defining AI opportunity framing, process mining direction, agentic roadmap, governance approach, and executive-ready recommendations.…
Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI,…
Salary: Up to £75k DOE Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We…
Location: Gloucester (Full-time on-site) Salary: Competitive DOE 6% Bonus, 25 Days Holiday, Clearance Bonus Security Clearance: Active Enhanced DV Clearance Required Key Skills: Team Leadership, Customer Engagement,…
Build and deploy AI fraud-detection pipelines for insurers, working with structured data, text, and images while collaborating with global clients and the R&D team.
This role involves building and deploying LLM-based agentic solutions for healthcare insurance payment integrity. You will work across the full machine learning lifecycle, developing data pipelines and evaluation frameworks to create explainable AI tools for claims handling.
Shift Technology is hiring a graduate data scientist to develop and deploy AI models for fraud detection, anti-money laundering, and claims automation. The role involves building production-quality code in C#, managing data pipelines with SQL and Elasticsearch, and collaborating directly with clients.
Develops and deploys AI-driven fraud detection models for insurers, working with data pipelines, ETL processes, and client implementations in a hybrid São Paulo role.
Leads a US healthcare-focused AI team to build autonomous, explainable AI agents for insurance payment integrity using LLMs and agentic frameworks, ensuring compliance and scalability.
Build fraud-detection and anti-money-laundering models for insurers using Python, SQL and machine learning; collaborate with clients to refine AI agents.
Data Scientist at a small, PE-backed AI consultancy building and deploying ML models, GenAI systems, and AI agents into production using Python, with government-grade infrastructure projects.
ChiStats is seeking a Data Scientist to design, develop, and deploy Generative AI applications and LLM-based solutions for the WealthTech and financial services sector. The role involves the full machine learning lifecycle, from integrating LLM APIs to performing advanced text analysis.
This is an internship or junior-level role for a Data Scientist.
The Senior Data Science Specialist will provide strategic analytical insights and predictive modeling to fintech clients, managing project workstreams and delivering actionable business recommendations. The role requires expertise in SQL and Python, with a focus on driving data-driven decision-making within the banking and payment sectors.
The Senior Data Scientist will design and deploy scalable reporting solutions using Power BI, SQL, and cloud platforms like Snowflake and AWS. The role involves end-to-end data modeling, complex DAX development, and performance optimization to support business intelligence initiatives.
The Junior Data Scientist will develop and deploy Generative AI and LLM-based applications to enhance the international car rental comparison platform. The role involves working within an AI team to integrate these models into production systems while ensuring quality and scalability across multiple markets.
Привет! Это команда "Модерация селлерского контента" Наша команда отвечает за автоматическую модерацию селлерского контента, обеспечивая его соответствие законодательству РФ и правилам маркетплейса. Много…
Data science student internship at an energy company, involving a 4–16 month work term starting January 2027 with potential placement across multiple Canadian locations.
Data science student internship at an energy company, gaining hands-on data science/analytics experience across a 4-16 month work term starting January 2027.
Data Scientist leading machine learning projects for credit risk scorecards (origination, credit limits, collections) with full-cycle model development using SQL, Python, and ML libraries like XGBoost and scikit-learn.
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