This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role involves building cutting-edge Generative AI solutions for clients across industries. - Collaborate with clients to understand business needs and identify where Generative AI can add value. - Lead prompt engineering and chain-of-thought reasoning to build LLM-based solutions. - Implement Retrieval-Augmented Generation (RAG) solutions, optimizing chunking, metadata, and retrieval processes. - Ensure all solutions follow Responsible AI principles. - Rapidly develop demos to showcase the potential of Generative AI. - Contribute to the development of internal GenAI methodologies, frameworks, and accelerators. - Be an active member of our Data Science and Generative AI communities, helping to evolve capabilities and share knowledge across the organization. Qualifications - Proven experience in LLM / Generative AI and RAG projects, ideally in a leadership or senior delivery role. - 4+ years in a data science or related role, with hands-on NLP experience. - Fluent in Python, capable of rapidly prototyping solutions and delivering production-ready code. - Familiarity with Azure data services and cloud-based AI infrastructure. - Knowledge of best practices in model tuning, drift monitoring, and optimization. - Strong consulting and stakeholder management skills; able to break down complex business problems and propose clear technical solutions. - Experience using FastAPI or other API frameworks is desirable. Company Description Ascent has recently been acquired by Acuity Analytics. This is both a significant milestone for us and a tremendous opportunity for you. Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans. We deliver deep insights and domain-led digital transformation to high-growth and heavily regulated organisations. To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency.

16VC is a venture capital firm based in London backing bold founders building the infrastructure of tomorrow. We invest in early-stage companies across enterprise software, AI, deep tech, fintech, and emerging technologies. Our mission is to support ambitious founders pushing the boundaries of innovation. Role Overview 16VC is looking for experienced executives and industry leaders to join our network of Advisors. As an Advisor, you will provide strategic insights, support portfolio founders, and help expand our global network across technology, startups, and enterprise ecosystems. This is a flexible, remote advisory role designed for leaders who want to support the next generation of founders while contributing to the growth of an emerging venture capital platform. Key Responsibilities - Provide strategic guidance on industry trends, technology, and market opportunities - Support evaluation of potential investments and emerging startups - Introduce high-quality founders, investors, and ecosystem partners - Mentor and advise founders within the 16VC portfolio - Contribute to the development of 16VC’s investment theses and ecosystem initiatives Ideal Background We are particularly interested in leaders currently serving or previously serving as: - C-level executives (CEO, CTO, COO, CPO, CFO, etc.) - VP-level leaders (Engineering, Product, AI, Sales, Growth, Strategy) - Heads of departments in leading technology companies or high-growth startups - Founders or operators with deep expertise in AI, enterprise software, fintech, deep tech, or emerging technologies What We Offer - Opportunity to support and shape early-stage technology companies - Access to a global network of founders, investors, and operators - Participation in the 16VC ecosystem and venture initiatives - Flexible remote engagement with minimal time commitment

• Develop full picture of constituent engagement with RAFI across various programs/entities - development, programs, comms • With relevant staff, assess RAFI’s data management needs. • Develop data collection and management procedures, train staff on them, and provide ongoing technical support. • Develop and implement processes to improve data integrity, including but not limited to cleaning, uploading, and updating existing records, eliminating duplicates, and collaborating with programs to ensure that data is accurate and timely. • Build FormAssembly forms that integrate with Salesforce and ensure that the data is integrating correctly. • Build reports, dashboards, and other tools for staff to evaluate their program’s reach

• Own marketing measurement strategy across channels and campaigns, including technical requirements and success criteria. • Define and maintain KPI definitions, metric governance, and reporting standards to ensure consistency across teams and tools. • Establish an experimentation approach, including A/B testing and multivariate testing, and translate learnings into optimizations. • Forecast campaign performance and guide budget allocation using historical performance and market trends. • Build and maintain the marketing analytics infrastructure. • Integrate data across marketing platforms, CRM systems, and website analytics sources to create a unified view. • Own data quality: validation, anomaly detection, documentation, and ongoing improvements to accuracy and reliability. • Maintain/optimize data pipelines and partner with IT/engineering as needed. • Gather, analyze, and interpret campaign and customer data to identify performance drivers and opportunities. • Provide clear recommendations on targeting, messaging, creative/testing learnings, and budget allocation to improve ROI and outcomes. • Develop recurring performance narratives for stakeholders that connect marketing activity to business impact. • Establish scalable reporting: automated dashboards, standardized reporting views, and self-serve performance tracking. • Create reports and dashboards to track campaign effectiveness and communicate insights. • Build visually compelling presentations using tools such as Looker Studio. • Serve as the day-to-day analytics partner to leadership, media planning/buying, and cross functional teams.