Role Description We’re looking for a hands-on Manager who can support and lead important work across the DPO Office and the wider bank. You’ll turn broad goals into clear plans, work through complex and ambiguous problems, and deliver improvements with pace, structure and good judgement. This is an individual contributor role in a small and mighty team with high standards and a practical, proportionate way of working. You’ll provide advice, oversight and challenge, build trusted relationships across Monzo, and help improve how the Global DPO Office operates as we scale. It’s also a great opportunity for someone who wants to deepen their existing experience across DPO-level responsibilities. You’ll deputise for the DPO from time to time, while helping build the processes, governance and ways of working needed for a global DPO Office. Key Responsibilities - Working as part of the Global DPO Office to provide practical, proportionate data protection advice, oversight and challenge across the bank. - Reviewing DPIAs, providing DPO opinions, assessing data breaches, and supporting clear, well-documented decisions on regulatory reporting. - Supporting our relationship with regulators, improving the processes behind regulatory engagement and complaints, and providing oversight of data subject rights and contact point processes. - Supporting on and leading projects within the Global DPO Office at pace, and representing the team in projects led by others where data protection compliance is affected. - Working toward specific goals and workstreams within the DPO Office maturity plan, working with the DPO and wider team to build practical, scalable and efficient processes, governance and ways of working. - Proactively finding opportunities to improve how we work, including through better use of data, automation, AI and other tools that help us move faster without lowering standards. - Deputising for the DPO from time to time, giving you the opportunity to build experience across DPO-level responsibilities. Qualifications - You’re a practical, experienced data protection professional with strong knowledge of UK GDPR, PECR and ICO expectations, backed by a relevant qualification such as an IAPP qualification or equivalent. - You’re curious about AI and innovative technology, and are already using or exploring how to use AI practically in your work. - You’re a self-starter who enjoys solving complex and ambiguous problems, using your initiative to work methodically, find clear and proportionate solutions, and deliver tangible improvements. - You have hands-on experience across core DPO work, including DPIAs, data breaches, privacy notices, governance, reporting and regulator-facing activity. - You understand what good second-line oversight looks like, and can build trusted relationships while still providing effective advice, oversight and challenge. - You’re a thoughtful communicator who enjoys working with teams across the company, sharing knowledge, influencing well and working through problems early, with solutions in mind. Interview Process - Recruiter Call (30mins) - Initial Call (30 mins) - Final stage - a take-home task, with successful candidates progressing to a role-specific interview and a behavioural interview Benefits - £71,400 - £90,000 + Incentive Awards tied to your performance benefits. - This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). - Flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. - £1,000 learning budget each year to use on books, training courses and conferences. - All employees are given MacBooks and for fully remote workers we will provide extra support for your work-from-home setup. - Plus lots more! Read our full list of benefits.

• Own single-threaded leadership (STL): Serve as the accountable product leader for the transaction rail, driving alignment, prioritisation, and execution across all teams involved in the payment lifecycle. • Think end-to-end across the value chain: Understand and optimize the handoffs between domains — how a routing decision in Payment Orchestration affects approval rates, how the Transaction Core's state machine feeds Money Operations' reconciliation, and how Risk, Trust & Vault gates every authorization. • Drive agentic strategy: Define the “what” and “why” for platform features that move client onboarding toward low-to-no coding effort, from provider certification to routing rules. • Protect the stability floor: Enforce a “Stop the Line” mentality for quality, maintaining a Stability Floor of highly automated quality assurance across every domain in the rail. • Provide cross-functional leadership: Lead a high-ownership set of pods staffed with elite engineers across the five domains, partnering with Staff Engineers and the CTO Office to eliminate silos. • Embed a YBIYRI culture: Evangelize and operationalize the YBIYRI mindset across all five domains, ensuring teams design for multi-tenancy, elastic scaling, and automated observability. • Prioritize with evidence: Use the RICE framework to turn ambiguous, cross-domain requirements into a single, structured, executable roadmap that balances architectural integrity against market opportunism.

• Join the Tilt team • Help expand Tilt’s credit modeling and risk analytics capability for our Philippines-based business, Cashalo. • Build and refine underwriting models as well as other models, working at the intersection of credit, data science, and leadership. • Collaborate with a lean but growing team, applying advanced modeling techniques to predict loss performance, leverage alternative data sources, and build next-generation tools that shape credit access for millions. • Partner directly with cross-functional teams across credit, engineering, and leadership, bringing strong project and stakeholder management skills to a lean, fast-growing team.

Role Description TEKsystems is partnered with a software company in Raleigh that needs to hire a Senior Data Scientist for their flagship product, a leading global provider of information and analytics. Recently our client has focused on the general availability of their product for U.S. customers, a generative AI solution designed to transform legal work. Their product delivers trusted results in a familiar, easy-to-use interface with linked hallucination-free legal citations that combine the power of generative AI with proprietary search technology, Shepard’s® Citations functionality, and authoritative content. This role leads the design and development of an advanced multi-agent AI platform that powers intelligent research, drafting, and reasoning capabilities for large-scale enterprise knowledge environments. You will architect agent frameworks, optimize retrieval-augmented generation pipelines, fine-tune language models, and build the infrastructure that enables AI systems to collaborate, plan, and execute complex tasks reliably. The work directly shapes the next generation of AI-driven professional tools used by experts in high-stakes domains. Core Responsibilities - Architect and implement multi-agent systems capable of planning, tool use, and coordinated task execution. - Design and optimize RAG pipelines including embeddings, hybrid retrieval, reranking, and context-window strategies. - Fine-tune and evaluate small, medium, and large language models for domain-specific reasoning and summarization. - Develop prompt engineering frameworks, guardrails, and automated evaluation suites for agent reliability. - Build scalable ML services and APIs for production deployment in distributed environments. - Collaborate with product, engineering, and domain experts to translate complex workflows into agentic AI solutions. - Establish best practices for model evaluation, observability, safety, and compliance. - Mentor DS/ML engineers and contribute to long-term AI strategy and architecture. Qualifications - 6–12+ years in Data Science / ML Engineering, with deep experience in LLM-based systems. - Proven experience building agentic architectures (planner-executor, tool-use agents, ReAct-style reasoning). - Strong background in RAG, embeddings, retrieval optimization, and evaluation. - Expertise in NLP, transformers, deep learning, and model fine-tuning. - Proficiency with PyTorch, HuggingFace, LangChain/LlamaIndex, Ray, Kubernetes, and vector databases. - Experience designing production-grade ML systems with monitoring, evaluation, and observability. - Strong communication skills and ability to lead technical direction. Preferred Qualifications - Experience in enterprise search, knowledge management, or high-compliance domains. - Experience with model distillation, LoRA/QLoRA, PEFT, and model compression. - Experience building evaluation frameworks for hallucination, grounding, and agent reliability. - Familiarity with knowledge graphs, symbolic reasoning, or hybrid neuro-symbolic systems. - Publications, patents, or open-source contributions in LLMs or agent systems. - Strong coding skills in Python (7+ years). - Natural problem solver, able to take a lead in collaborating to resolve issues. - Proficiency in IDE debugging: VSCODE and PYCHARM. - 5+ years of experience in AI and machine learning. - Deep understanding of machine learning algorithms, classification models, diagnostic testing of models. - Experience working directly with Transformer-based architectures including BERT, RoBERTa, T5, etc., and familiarity with large language models and fine-tuning. - Experience with conversational search / semantic search, reinforcement learning, prompt engineering, hallucination mitigation. - Working understanding of the business risks associated with applying LLM (LangChain) in a business. - Experience working with AWS, RAG, SageMaker, SQL. Requirements - Expert Level experience. - Contract to Hire position based out of Raleigh, NC. Benefits - Medical, dental & vision. - Critical Illness, Accident, and Hospital. - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available. - Life Insurance (Voluntary Life & AD&D for the employee and dependents). - Short and long-term disability. - Health Spending Account (HSA). - Transportation benefits. - Employee Assistance Program. - Time Off/Leave (PTO, Vacation or Sick Leave). Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Jul 31, 2026.