• Support build end‑to‑end GenAI applications such as chatbots, voicebots, Talk-to-Data systems, where you will help buiild: data ingestion, retrieval layer, orchestration (e.g. LangChain/LlamaIndex/LangGraph), API/backend, and simple UI where needed. • Implement RAG pipelines with vector databases, hybrid search, rerankers, query transformation, and evaluation frameworks for relevance and robustness. • Perform model selection, prompting strategies, and fine‑tuning (LoRA/QLoRA/SFT) for text, code, and multimodal models, including guardrails, output evaluation and A/B testing. • Integrating and optimizing LLMs interaction with external tools, APIs, and data sources in a standardized and scalable way by using Model Context Protocol (MCP) connectors • Business understanding and translating problems into technical goals by defining tasks, auditing data feasibility, and highlighting issues. • Supporting project delivery

Ready for a step up in compensation? A leader in the specialty insurance market has a great opportunity for a Principal Data Scientist - Insurance Pricing. This individual will drive the end-to-end development, enhancement, maintenance, &Â monitoring of pricing models. The ideal candidate will be an ACAS or FCAS with 6+ years of data science/predictive analytics experience in P&C insurance, a deep understanding of GLMs &Â GBMs, and familiarity with AI &Â machine learning concepts. Must be proficient in R &Â Python, familiar with big data platforms, and possess strong technical modeling skills. (#58369) Compensation: - A salary range of $150-165K Locations: - Amelia, OH -Â Hybrid - Remote in EST

• Own Muvr’s data strategy across analytics, reporting, and governance • Build and maintain dashboards and KPI reporting for leadership and operating teams • Implement data quality checks and improve reliability • Partner with Engineering to improve pipelines and data architecture • Support Product and Ops with deep dives and insights for marketplace optimization • Mentor analysts and data contributors as the function grows

Translational Research in Oncology (TRIO) is a global academic clinical research organization dedicated to advancing translational cancer research in the clinical trial setting. Our passionate team is committed to providing cancer treatments of the future to the world of today. TRIO is looking for a Data Analysis Clerk to join our Monitoring Resource team. Reporting to the MR Administrator Manager, this position will be home-based in Edmonton. This position is a full-time, hourly position for the months of May – August 2026. Responsibilities: This position is responsible for performing any/all of the following tasks and responsibilities, as well as any other tasks deemed appropriate by the Supervisor: - In preparation for trial data analysis, produce trackers on outstanding data entry, open queries and outstanding SDV at the frequency required by the Study Lead MRc - Status update reports, as required, using a Clinical Trial Management System (CTMS) - Updating and configuring of large Excel files (tens of thousands of rows) extracted from various systems, in order for the team to perform data analytics - Work extensively with data in Excel using advanced Excel functions such as VLOOKUP, CONCATENATE, Pivot tables, and advanced formulas such as IF, IF AND, TODAY - Participate in the support of the MR team - Other duties as necessary Qualifications: - Related Degree in progress - Advanced knowledge in Excel and the ability to format large amounts of data. - 1-year work experience - Effective organizational skills, accuracy, and attention to detail - Ability to work independently, be self-motivated, and prioritize work effectively What We Can Offer You: - $18.00 per hour - 37.5 hours per week, Monday to Friday - Remote Work Arrangement - Temporary Summer Work Term We thank all candidates for their interest; only those selected for an interview will be contacted. Prior to applying please review TRIO's Applicant Information Notice To support efficiency, TRIO may use limited AI tools during the candidate review process. All hiring decisions are made by people, not AI. To ensure fairness and an accurate understanding of your skills, we ask that candidates refrain from using AI tools or AI‑generated responses during interviews or assessments. We want the opportunity to get to know you and your experience. Teamwork · Passion · Integrity · Innovation