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HDI is seeking a Claims Data Analyst to lead the delivery of advanced analytics and AI solutions in London. This role involves collecting and interpreting data to support customer treatment throughout the claims lifecycle. You will collaborate with stakeholders and deliver actionable insights, ensuring adherence to ethical AI practices. Ideal candidates have experience with SQL, Python, and data management tools, and a solid understanding of insurance terminology. A CII qualification is desirable. Join us in fostering a data-driven culture.

About us The HDI Data Analytics & AI team is a new team within the branch, pulling expertise from data roles across the company. This team is designed to be the heart of the business' data use, with business partners and stakeholders across all aspects of the branch. We will work closely with these stakeholders to enable the company with good data practice, assist with reporting, and developing use cases for Data & AI enhancements. The role The Claims Data Analyst is responsible for collecting, analysing, and interpreting data from TPAs handling delegated claims across all lines of business to ensure data-driven insights support fair treatment of customers throughout the claims lifecycle, aligning outcomes with company standards and regulatory expectations. This will be across data analytics and building artificial intelligence use cases. The claims data analyst will support the delivery of advanced analytics and artificial intelligence solutions that provide proactive data analysis and reporting to support the Claims Team. Collaborate with TPAs and internal stakeholders by delivering clear and accurate reporting that enhances the claims experience for customers, clients, and brokers. Reporting to the Data Analytics & AI Team Lead, this role translates complex business challenges into actionable analytical and AI use cases, ensuring timely and high-quality execution. The data analyst will foster technical excellence and continuous learning in AI, machine learning, and advanced analytics. They will ensure adherence to governance standards, ethical AI practices, and robust model monitoring to maintain accuracy, fairness, and compliance. Working closely with cross-functional stakeholders and Subject Matter Experts (SME's) from the business, the data analyst will identify opportunities for predictive analytics, automation, and AI-driven insights, embedding these solutions into business processes. Through effective communication and collaboration, the role ensures insights are actionable and deliver tangible value. Ultimately, this role combines hands on business and technical expertise to build and deliver scalable analytics and AI capabilities that support HDI's strategic objectives. Key accountabilities Lead the delivery of advanced analytics and AI solutions that drive measurable business impact across key functions. Translate business problems into analytical and AI use cases; design and implement models, dashboards, and decision-support tools. Deliver ad hoc data analysis and reporting tasks as required, ensuring outputs are accurate, timely and aligned with business needs. Understand and support data quality, lineage and governance. Where required work to gather, clean, and analyse large data sets across multiple sources. Develop and maintain standards for data analysis, AI model development and experimentation, aligned with enterprise governance and guardrails. Collaborate with cross-functional teams / SME's / TPAs to identify opportunities for predictive analytics, automation, and AI driven insights. Ensure ethical and responsible use of AI, including bias monitoring and compliance with data governance policies. Foster continuous learning and experimenting in AI, machine learning, and advanced analytics techniques. Monitor performance of AI models and analytics solutions; identify trends, anomalies, and implement improvements to ensure scalability. Communicate insights and recommendations effectively to stakeholders, ensuring integration into business processes. Be seen as a go to support for the business and ensure effective communication into HDI's Global Data Analytics & AI Home Office teams. Support change management initiatives and contribute to building a culture of data driven decision making. Skills & experience SQL, Snowflake, use of databases, ability to code (python) Knowledge of data management tools and able to handle large datasets. Power BI or other visualisation tools. Analytical skills and the ability to interpret business information sensibly to ensure accurate, consistent information is always provided. Be able to influence opinion to achieve desired outcomes. The ability to make sound judgments under pressure. Ability to manage change and apply change management principles. Strong planning, organisation, and ability to manage workload under pressure and meet deadlines. Solid understanding of insurance terminology across all lines of business. Strong risk management capabilities, including monitoring of operational controls. Highly numerate with accuracy and attention to detail. Good report writing skills and interpersonal skills. CII Qualification or willingness to study CII or appropriate professional qualification (desirable). Other As an equal opportunities employer, we are committed to creating an inclusive environment for all employees, recognising that a diverse and inclusive workplace is a creative and prosperous one.

Job Role Business Analysis-Business Analyst Experience (In Years) 6-9 Job Location London, United Kingdom Job Description EXL (NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes, and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations for the world's leading corporations. Role Title: Technical Business Analyst - Insurance Domain Experience: 3-8 years. Location: London, United Kingdom (3 days a week office based). Employment Type: Permanent. Business Unit: Analytics / Data Management / Insurance Domain. Summary of the role We are seeking a Technical Business Analyst with strong insurance domain expertise (policy lifecycle, claims, underwriting, renewals) and hands-on technical capability across APIs and SQL. This role requires close collaboration with business and technical stakeholders to translate insurance-specific requirements into scalable data and system solutions. It will play a key role in delivering API-driven and data-led initiatives within the insurance space, ensuring requirements are clearly defined, traceable, and aligned to business outcomes. This is a business-facing role that demands strong stakeholder management alongside solid technical analysis skills within an Agile delivery environment. Requirements & Analysis Engage with business stakeholders to gather, analyse, and document requirements Lead stakeholder discussions, workshops, and requirement walkthroughs Translate business needs into user stories, acceptance criteria, and functional specifications Manage stakeholder expectations and communicate progress, risks, and dependencies clearly Technical Analysis & Delivery Work on API integrations, including defining, documenting, and validating API contracts Write and optimise complex SQL queries for data extraction, validation, and analysis Support API testing and validation using tools such as Postman Create detailed documentation including BRDs, FSDs, process flows, and use cases Agile Delivery & Tools Own and manage requirements within Jira, ensuring full traceability Participate in backlog grooming, sprint planning, and defect triage Collaborate with cross-functional teams including Development, QA, and Product Maintain structured documentation within Confluence Proven experience as a Technical Business Analyst (3-8 years) Strong stakeholder management and communication skills Hands-on experience with API integrations and API contract definition Advanced SQL skills with experience working on complex datasets Strong experience using Jira for requirement traceability, user stories, and backlog management Mandatory insurance domain expertise across policy lifecycle, claims, underwriting, and renewals Good to Have Experience with Guidewire or Rulebook Knowledge of Senator, Subscribe, or Acumen platforms Hands-on experience with Postman for API testing Benefits A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.

Limelight Health in the United Kingdom is seeking a proactive individual to join the Claims Analytics team. You'll develop analysis tools that help control costs and monitor provider spending, enabling data-driven decisions within the organization. The ideal candidate will have experience in insurance claims processes and strong analytical skills. The role allows flexible working arrangements, with part-time office presence.

Open to US, Canada, and UK only. No sponsorship available for this role. Job Responsibilities Heavy statistical programming and data review for real world (RW) data analyses. Experience with commercial databases such as Optum, HealthVerity, or IQVIA PharmMetrics. Support protocol and statistical analysis plan (SAP) review for epidemiologists. ICD knowledge and experience with clinical terminology. Develop and maintain databases and data specifications (e.g., OMOP CDM). Create and validate analysis datasets, tables, listings, graphs, and other deliverables. Review data and program outputs against protocol requirements and flag issues. Identify and resolve messy data issues, proposing solutions. Use SQL, SAS, R (or Python) to develop custom programming code for RW datasets. Ensure outputs meet quality standards, follow SOPs and regulatory guidelines (ICH, etc.). Maintain thorough documentation, testing, and verification records for inspection readiness. Manage scheduling and time constraints across multiple projects, prioritizing tasks based on management goals. Participate in internal and sponsor meetings, providing input on study protocols and specifications. Mentor junior programmers and develop training materials. Additional duties as assigned. Minimum Requirements Education: Undergraduate or master's degree in a scientific or statistical discipline (e.g., biostatistics, mathematics, epidemiology). Data Experience: eHR, claims data (Optum, HealthVerity, IQVIA PharmMetrics). Nice to have: MarketScan, VA, Medicaid, Medicare. Programming Languages: SAS or R (must have SQL). Experience with cohort derivation and index date definition. Statistical modeling: GLM, logistic regression, Cox proportional hazards, propensity score matching, incidence computation. OMOP CDM understanding and ability to transform healthcare data into a common format. Experience with AI/ML for LLM and workflow is ideal (e.g., AI/ML modeling, GitHub version control). Excellent written and verbal communication skills. Fluency in English. Salary Range $80,600.00 - $145,000.00 Benefits Company car or car allowance, medical, dental and vision health benefits, company match 401(k), employee stock purchase plan, eligibility for commissions/bonus based on performance, flexible paid time off (PTO) and sick time. Paid sick time eligibility may vary by state or municipality as required by law. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. EEO Statement Syneos Health is an Equal Opportunity Employer. The Company is committed to compliance with the Americans with Disabilities Act, providing reasonable accommodations as needed to assist employees or applicants in performing the essential functions of the job.

We're looking for a Senior Product Analyst to join Wise's Competitive Intelligence (Comparison) mission: acquire new customers by demonstrating why Wise is the better choice. Comparison is one of the most effective ways to help customers understand the true cost of moving and managing money - by exposing hidden fees, making competitor pricing transparent, and helping people choose a fairer option. You'll work closely with a cross functional product team and partner with Growth, Pricing, Marketing, and Compliance to turn competitor intelligence into scalable products, always on claims, and measurable acquisition impact. Responsibilities Own the Competitive Intelligence analytical domain by building scalable price competitiveness tracking (Wise vs competitors, including promotional periods), and creating the frameworks and reporting that highlight situation based competitiveness and surface insights on where we can win (market selection, segment focus, product areas) Be a strategic partner on competitiveness: proactively translate pricing/competitor signals into clear, actionable insights tailored to the needs of Product, Growth, Pricing and Marketing, and influence prioritisation and follow through so the insights are adopted and drive measurable impact Contribute to, own, create and track OKRs for the Competitive Intelligence/Comparison mission, keeping teams accountable through clear targets, progress tracking, and decision ready reporting Own measurement & attribution for comparison led acquisition: define how we quantify incremental impact from comparison insights and claims across channels (Paid, CRM, SEO and beyond); partner with stakeholders to align on success metrics and controls; report performance clearly to senior audiences Optimise user facing comparison tools across the Wise product suite: deepen understanding of conversion drivers, including "non cheapest path" users; improve performance via robust analysis, segmentation, and experimentation (A/B tests, holdouts, quasi experimental approaches where needed) Own optimisation data products and pipelines: identify what data and modeling needs to be collected and automated to build scalable comparison intelligence (including dbt models, metric layers, monitoring, and reliability frameworks) Qualifications You have a background working in product analytics (pricing knowledge is a plus) End to end analytical ownership: you can frame ambiguous problems (e.g., "where do comparisons drive the most value?" / "how do we win non cheapest path users?"), define success metrics, and drive prioritisation from insight to recommendations and measurement plan Strong SQL and analytics engineering fundamentals: you have advanced SQL skills and are comfortable building scalable datasets and definitions (e.g., dbt models, metric layers). You care about data quality, pipeline reliability, and building self serve reporting rather than one off analyses Influential communication & stakeholder partnering: you can work effectively with cross functional partners (Product, Growth/SEO, Pricing, Engineering, Compliance, Marketing and Regional), communicate clearly, and use data to support decisions and trade offs Experimentation & analytical judgement: you have experience running experiments (A/B tests or similar) and applying sound judgement in messy, real world data environments Data visualisation & storytelling: you have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and can communicate insights in a clear, actionable way

The Role We are looking for a Business Analyst to join our Advisory Consulting Team. In this role, you will play a key part in delivering business change initiatives by conducting structured analysis, engaging with a wide range of stakeholders, and translating business needs into practical, effective solutions in the UK national security markets. You will lead efforts to identify, design, prioritise, and implement process and technology improvements that drive operational efficiency and enhance the client experience. This role involves close collaboration with stakeholders across technical teams, product owners, digital functions, governance, contact centre and claims operations, IT, data teams, and board-level executives. This is an exciting opportunity for someone with a strong background in the National Security sector. About The Team You'll be joining a strategic team of consultants that deliver the big ideas and bold initiatives that help our customers stay ahead. They work closely with our customers to design strategies that drive long term success and tangible impact. As the backbone of our Consulting division, they connect the dots between business goals and tech innovation, helping both our customers and company grow strong, smarter and faster. If you're ready to think big and with purpose, you'll fit right in. Job Responsibilities Lead structured analysis to support strategic business change and technology enabled transformation projects. Partner with a diverse set of clients - from IT and digital teams to executive leadership - to shape impactful solutions. Define and document business and functional requirements, customer journeys, service blueprints, and prototypes. Drive improvements in operational efficiency and client experience through insight driven design thinking. Ensure seamless collaboration between business and technical teams to deliver scalable and user focused solutions. Support testing, implementation, and integration of digital platforms and technical solutions. Champion continuous improvement and contribute to the evolution of BA standards, tools, and best practices. Skills Required Experience in a senior level Business Analyst role, leading complex projects or workstreams. Strong understanding and application of customer insight and design thinking principles. Familiarity with project management methodologies such as PRINCE2 and Agile (certifications desirable). Deep knowledge of product delivery approaches, with practical experience in user story writing, backlog management, and defining acceptance criteria. Demonstrated experience delivering business change and IT enabled transformation. Experience collaborating with third party suppliers and vendors to achieve delivery goals. Solid understanding of data models, APIs, and modern cloud based platforms. Proficiency in tools such as Azure DevOps, Visio, JIRA, or similar. Ability to assess organisational risk and evaluate long term business impacts. Security Clearance Requirements The successful candidate must hold a current DV security clearance with the ability to go through an enhanced level. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). Benefits Annual Leave: 25 days plus your birthday off. You will have the ability to buy and sell 5 days holiday to work around your needs. Private Healthcare Coverage: Our health plan is tailored to meet the diverse needs of our employees with additional levels for family if required. Training & Skills Development: Stay ahead in your career with ongoing training opportunities and skill development initiatives tailored to your evolving needs. Fitness Reimbursement: We encourage an active lifestyle. Our fitness reimbursement program helps you stay fit by covering a portion of your gym memberships or fitness related expenses. Life Assurance: Gain peace of mind with extensive life insurance coverage that ensures financial protection for you and your loved ones. Pension Contribution: Plan for your future with our pension options. We provide resources and support to help you build a secure financial foundation. Perkbox Subscription: Enjoy exclusive discounts on a variety of products and services. From technology to entertainment, we've partnered with various businesses to bring you special perks. Internal Reward Schemes: Be rewarded for your exceptional contributions through our employee recognition initiatives that celebrate your achievements. Community Engagement & Volunteer Opportunities: Contribute meaningfully to causes with company sponsored volunteer programmes, fostering a sense of community and social responsibility. Inclusion at Envitia We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.

Sr Programmer Sr Data Scientist/Analyst OMOP (NA & UK Only) Updated: Today Location: London, LND, United Kingdom Job ID:-OTHLOC-3526-2DR Job Responsibilities Must be located in the United States, Canada or UK with no sponsorship needs to be considered for this position. OHDSI / DARWIN Analytics & Implementation Collaborate with researchers to understand project requirements and translate them into OHDSI/DARWIN-compatible solutions. Build, validate, and execute OMOP CDM cohorts and analyses using: ATLAS (cohort definition, characterization, exploration) ATHENA (vocabulary browsing, concept sets) ACHILLES (data characterization and quality insights) R packages in the OHDSI/DARWIN ecosystem (for cohort execution, characterization, estimation, and related workflows). Perform analyses using ATLAS and/or Prometheus or via programmatic workflows in R (and Python where appropriate), depending on study needs and platform patterns. Customize and extend OHDSI tools and applications as needed to support project- or portfolio-specific requirements. Observational Study Design, Statistics, and AI/ML Awareness Apply and document observational study designs and epidemiologic concepts for RWE (e.g., descriptive epidemiology, cohort designs, self-controlled designs, comparative approaches as applicable). Implement and interpret appropriate statistical methods, including confounding control strategies, time-to-event approaches, sensitivity analyses, and fit-for-purpose evaluations. Maintain familiarity with machine learning and statistical concepts to support exploratory modeling, feature engineering, prediction workflows (when relevant), and method selection. Reproducible, AI-Enabled, Production-Grade Analytics Develop reusable and maintainable analytic code, prioritizing reproducibility and auditability (clear methods, parameterization, and structured outputs). Incorporate AI-assisted workflows (nice to have and can be taught) to improve efficiency in: Code generation/refactoring Validation and QA checks Documentation and study write-ups Exploratory analysis and summary generation while ensuring results remain transparent, traceable, and scientifically defensible. GitHub-Centric Collaboration Use GitHub extensively (branching, pull requests, code reviews, issue tracking) to deliver collaborative, production-grade analytics. Required Qualifications Masters degree in Statistics or related field. Demonstrated experience with OMOP CDM and OHDSI tooling, including ATLAS (or Prometheus), ATHENA, and ACHILLES. Proficiency in common OHDSI community languages: SQL and R. Python is good too but most open-source tooling is in R. Strong understanding of observational study design and epidemiologic concepts, with emphasis on RWE. Experience working with healthcare data such as EHR and insurance claims, including healthcare data standards and fit-for-purpose evaluation. Solid understanding of clinical terminologies such as SNOMED, ICD-9/10, CPT, HCPCS, READ (and related standard vocabularies used in OMOP). Experience with data quality assessment and data validation techniques. Proven ability to work in a fast-paced environment, delivering high-quality outputs with strong documentation and collaboration. Strong problem-solving ability and comfort working in cross-functional teams. Excellent communication skills, with the ability to convey technical concepts to technical and non-technical stakeholders. Strong experience developing and maintaining documentation for RWE studies and insight generation. Demonstrated willingness and ability to incorporate AI tools into workflows for efficiency and quality. Experience supporting federated/network study execution patterns (where applicable). Benefits The benefits for this position may include a company car or car allowance, health benefits to include medical, dental, and vision, company match 401k, eligibility to participate in Employee Stock Purchase Plan, eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements. Salary Range The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate's qualifications, skills, competencies, and proficiency for the role. Additional Information Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Pricing at Marshmallow This role will sit in the Pricing Team, reporting into the Pricing Data Science Manager. The team is responsible for managing our loss ratio, underwriting footprint, broker optimisation and growth targets, proving integral to driving the business forwards. But you've probably read that all before! So what's new? We work in a very different way to most pricing teams that you might be familiar with. Everyone in Pricing has the potential to make significant contribution to the business, taking ownership, moving fast, innovating and delivering changes to our rates at high frequency. We don't just churn out GLMs all day. We build & deploy exceptional in house pricing data science models using the latest modelling techniques. You'll work alongside other Pricing Data Scientists & Analysts pushing innovative pricing projects, whilst also being able to work with the wider Data Science community on modelling customer behaviour, fraud & MLENG enhancements. We work alongside a bunch of amazing engineers who ensure we can implement our decisions quickly. We also have access to huge amounts of data. We don't just mean your standard policy, claims and quote data. Our engineers spend their lives building APIs to third parties so that we know more about our customers than any of our competitors. All of this means that you'll have access to as much data as you can handle, the freedom to be creative, the backing of senior leaders to make decisions, and the ability to see your ideas implemented rapidly. And on top of all of that, we're a pretty fun group to hang around with! What you'll be doing Developing a deep understanding of Marshmallow's quote, policy and claims data and use this to derive insights that can be used to enhance our pricing. Owning one of the strategic initiatives of the pricing team, such as supporting our expansion plans or protecting our renewing customers. Communicating & getting buy in for your plans to heads of & directors cross functionally. Conducting claims analysis and claims modelling using SQL and Python. Conducting price optimisation analysis/modelling using Python. Building and deploying models in APIs for use in real time pricing. Working with other members of pricing to recommend changes and monitor their impact. Identify new sources of external data that enable us to refine our view of claims risk, and conduct analysis to quantify their value. Working directly with our Engineering & MLENG functions to implement pricing proposals. Providing analytical support in relationships with reinsurers, regulators and other partners. Working within the wider data science community on longer term R&D projects. Providing pricing support for the launch of multiple new products. Potential to manage a small team of pricing analysts & pricing data scientists, overseeing both the technical aspects of their work as well as their career development. Who are you? Proactive: You drive growth by identifying & delivering new opportunities Modeller: You use your DS expertise to build innovative best in class models Commercial: You directly use your models as tools to deliver timely real world impact Curious: You aren't satisfied with "That's just how it is"; you immediately investigate further Owner: You don't just pull existing levers - you own end to end transformation in your area Opinionated: You generate your own opinions & pitch to others in an open & honest way Explainer: You can communicate complicated concepts in a simple way to non experts Networker: You build and maintain strong relationships throughout the business What skills are we looking for from you? Ability to interrogate data and conduct pricing analysis within SQL & Python/R Ability to build GLMs, GBMs and other claims models within Python/R At least 3 years of experience working in a data driven (ideally commercial) role Perks of the job Flexible working: Spend 2-3 days a week with your team in our collaborative London office. Competitive bonus scheme - designed to reward and recognise high performance Flexible benefits budget - £50 per month to spend on a Ben Mastercard meaning you get your own benefits budget to spend on things you want. Mental wellbeing support - Access therapy and mental health sessions through Oliva Learning and development - Personal budgets for books and training courses to help you grow in your role. Plus 2 days a year - on us - to further your skillset Private health care - Enjoy all the benefits Vitality has to offer, including reduced gym memberships and discounts on smartwatches Medical cash plan - To help you with the costs of dental, optical and physio (plus more!) Tech scheme - Get the latest tech for less Plus all the rest; 25 days holiday, pension, cycle to work scheme, monthly team socials and company wide socials every month! We are able to offer visa sponsorship for this position. We know the best ideas come from having different perspectives in the room - and we're committed to hiring fairly, regardless of background, identity or experience. If you see yourself in this role, we'd encourage you to apply.

Marshmallow is seeking a Pricing Analyst to enhance our pricing strategies using data insights. You will analyze quotes, policies, and claims data to drive decision-making and support the development of pricing models. Ideal candidates are proactive, technically skilled, and capable of communicating complex ideas clearly. The role offers hybrid work options and various employee benefits including mental health support and competitive bonuses. Join a team where you can take ownership and drive real-world impact in the insurance industry.

AI Engineer Type: Full time, Permanent Location: Blackfriars, London, 2 days working from our headquarters Seniority: Mid to Senior (SFIA 4) SC Eligibility Required: You do not need to already hold Security Clearance, but you must be eligible to undergo the vetting process. About Us QuantSpark applies data, analytics, and AI to commercial and societal problems that genuinely matter - for financial services, public sector clients, major retailers, international clients and many well-known UK businesses. Our work sits at the intersection of data science, software engineering, and client delivery. The projects are varied, challenging and hugely impactful - what we build often goes live in weeks. We're a 50-person boutique consultancy headquartered in Central London. Small enough that your judgment shapes outcomes; large enough that you'll work across multiple sectors and problem types in your first year. We invest heavily in our people, give genuine ownership, and expect high engineering standards. That means the opportunity to shape important work, the support to keep learning, try new things, and the trust to do your best work without unnecessary bureaucracy. The Role We're looking for an AI Engineer who has already moved from experimentation into production and wants to go further. You may have started in data science or Machine Learning, but now you're happiest building reliable systems: shipping LLM-powered applications, designing evaluation frameworks, creating retrieval pipelines, and making sure things keep working when real users, messy data, and changing requirements get involved. At QuantSpark, you'll apply that foundation to real client problems. Some engagements call for a carefully orchestrated AI pipeline; others need a well-chosen low-code tool wired up properly. The skill is knowing which approach fits the problem, making it work reliably, and creating measurable impact for the client. What You'll Be Doing as an AI Engineer at QuantSpark Lead delivery on client engagements. You'll own the technical shape of AI and ML workstreams from scoping through handover - making the build-versus-buy-versus-wire-together call, and being the engineer the client trusts in the room. Help us win the next engagement. You'll work alongside our Consulting team on live opportunities - translating client problems into credible technical approaches, running discovery sessions, and shaping proposals that are honest about what AI can and can't do. Build automation that lands. From orchestrated AI pipelines to a well-wired Power Automate flow, you'll deliver the solution that actually solves the client's problem. The Problems You'll Solve In a typical year you might be: Turning a PE-backed business's unstructured operational data - contracts, claims, supplier correspondence - into a usable signal, and building the systems that keep doing it. Working with a public sector team on fraud detection or predictive maintenance, with the rigour and traceability those clients need. Designing an agentic workflow that compresses a week of manual analyst work into hours, with guardrails the client can trust. Replacing a brittle Power Automate flow with something better - or building the right one because that's actually what the problem needs. What You'll Build Production LLM applications - RAG, retrieval pipelines, prompt-engineered workflows, with the evaluation work that makes them reliable. Multi-agent systems - tool use, orchestration, memory, and guardrails that keep autonomy useful. Classical ML in production - forecasting, classification, optimisation, because not every problem needs a transformer. Low-code and workflow automation - Power Automate, n8n, used deliberately when they're the right tool. AI harness tooling - Claude Code, Codex, and the broader AI development toolchain. Most consultancies make engineers pick a lane, we feel our hybrid approach is a better match for the problems clients bring us. Who You'll Work With You'll sit within our Engineering team and work day-to-day with Product & Consulting and client stakeholders. We're a genuinely curious, low-ego bunch who care about doing meaningful work. We keep that culture deliberate - internal guilds, lunch-and-learns, regular talks and events in the office, and hackathons where you'll build a career alongside peers from across the business. You Should Hit Apply If You've crossed the line from experimentation to production. You've shipped LLM-powered applications and lived with the consequences - edge cases, latency, prompt drift, keeping things working when context gets messy. You bring ML rigour to AI engineering. Evaluations, model quality, monitoring, drift detection. You don't just ship - you measure. You've designed RAG and agentic systems with intention. You understand chunking, retrieval quality, context management, and where these systems break under real conditions. You're comfortable across the modern AI toolchain. Claude Code, Codex, Power Automate, n8n. Pragmatic about choosing the right tool. Your code is production-quality. Clean, testable, version-controlled. You collaborate effectively with software engineers without needing translation. You treat client problems as your own. Commercially aware, comfortable with the "why," and you'd rather over own a difficult delivery than hide behind process. You communicate clearly. You can explain trade offs to non technical stakeholders and push back constructively when requirements don't make sense. Nice to have: experience in regulated environments (financial services, public sector); MLOps practice; pre sales or technical proposal experience; familiarity with responsible AI practice. Why QuantSpark Variety of work. You'll work across sectors but see engagements through - most engineers are on one or two engagements at a time. Engineering quality is taken seriously. Evaluations, monitoring, code review that catches things before they hit clients. Real investment in you. £6,000/year for training, upskilling and conferences - one of the most generous budgets in the market. EMI share options to share in the reward as we grow. Perks & Benefits Financial upside Up to 10% personal performance bonus. Company profit share, distributed equally to everyone annually. EMI share options for every team member, regardless of seniority. Pension up to 12% total contribution via Nest. Investing in your career Market leading £6,000 per year personal learning and development budget. Protected training days when not on live engagements. Tuition support for part-time Masters, ML/AI certifications, and professional qualifications. Transparent Growth tracks and opportunities. Health, taken seriously Full Vitality private healthcare, including in patient, GP, dental, optical, and advanced cancer cover. 8 talking therapies sessions per year. 24/7 EAP and a 12 month Headspace subscription. Up to 50% off Nuffield, Virgin Active, PureGym, and Active Rewards perks. Time to live a full life 33 days off, including 25 days annual leave plus 8 bank holidays. Buy or sell up to 5 days each year. Work from abroad for 4 weeks every year. Sabbatical up to 6 months after 3 years' service. Family-friendly, properly Enhanced maternity and paternity leave. 3 sessions of maternity coaching via The Maternity Coach. Shared parental leave and enhanced bereavement leave. Recognition and the everyday Quarterly team socials. Peer-nominated awards with vouchers. Scaling anniversary fund on every work anniversary. Cycle to Work scheme up to £2,500. Monday breakfasts, regular talks & events in the office, hackathons, and clubs. Equal Opportunities We're committed to building a diverse and inclusive team. Different perspectives, identities, and experiences make us stronger. All qualified applicants will be considered regardless of sex, sexual orientation, marital status, race, nationality, religion, disability, or age.

Job Title: Senior Full Stack Quality EngineerDirect Reports: N/APosition Type: PermanentWhy Tokio Marine HCC?Standing still is not an option in the current world of Insurance. TMHCC are one of the world's leading Specialty Insurers. With deep expertise in our chosen lines of business, our unparalleled track record and a solid balance sheet, TMHCC evaluates and manages risk like no one else in the industry. Looking beyond profit, empowering our people and delivering on our commitments are at the core of our customer values, and so is a desire to grow and provide creative and innovative solutions to our clients.About OperationsOperations sits at the heart of TMHCC, we ensure the smooth running of all business processes - from policy administration and claims handling to data, technology, and delivery. We focus on driving efficiency which enables our teams across the business to deliver exceptional results every day. Our value statement: Ops makes it happen.Operations is made up of 7 functions, this role sits within: ITWe are the foundation for TMHCC's success - enabling the business to grow, compete, and innovate through technology, security, and solution design. From shaping strategy to delivering resilient operations, we ensure every capability is aligned to business value. Our inclusive and collaborative culture empowers everyone to explore ideas, solve meaningful challenges, and build fulfilling careers that make a real impact.Job Purpose:The Senior Quality Engineer will play a crucial role in delivering high quality software products. The role will act as a guardian of quality and continually seeking ways to improve processes, tools and techniques. This is a techno functional hands-on role with strong Agile test delivery experience to guide, oversee & deliver testing activities within a product team.In this role, the candidate will lead testing efforts, mentor/guide offshore testers as required and ensure the delivery of high-quality releases. Key responsibilities include test planning, test case preparation, test execution, test automation and defect management to drive continuous improvement in our Agile testing processes.This role will have a matrix-based reporting structure, reporting operationally to the Quality Engineering Practice Manager and functionally to the respective Engineering Delivery Lead/Manager for delivery oversight.Key Responsibilities:Test Strategy & Planning:Act as a quality advocate within the Product team, working with cross-functional Agile team members (Engineering Delivery Leads, Developers, offshore testers, Product Owner, Business Analysts) to ensure high-quality test deliverables.Work closely with the respective Engineering Delivery Lead / Manager on the day-to-day testing activities and where possible drive a shift-left test approach.Participate in all stages of the agile software development lifecycle including Sprint Planning, Daily Scrum, Sprint Review, Sprint Retrospective, Backlog refinement, test planning etc.Supports production incidents and service requests resolution by monitoring systems, fulfilling requests, coordinating with internal and external teams, documenting processes and ensuring end user satisfaction through continuous improvement.Collaborate with the Quality Engineering Practice Manager to facilitate and improve testing practices, establish the framework to track quality metrics such as test coverage, automation coverage (%), defect density, defect leakage etc.Collaborate with our test partners (offshore test team) with respect to day-to-day testing activities and where required guide the offshore team members, fostering skill development and collaboration.Quickly understand the critical business processes within the assigned LOB and document / build out an in-house knowledge repository.Hands-On Testing & Test Automation:Design, develop, and execute manual and automated test cases, ensuring coverage of functional, integration, and regression test scenarios.Hands on experience of creating, maintaining & enhancing test automation scripts built using UI automation tool such as Katalon Studio.Collaborate with QE Automation COE to implement the Katalon best practices to ensure alignment with the latest features.Collaborate closely with the Engineering Delivery Leads to explore opportunities to introduce in sprint automation within the testing lifecycle.Conduct root cause analysis for defects and ensure timely resolution with development teams.Support business users with acceptance testing where required and facilitate demos as and when required during the sprint lifecycle.Collaborate with DevOps teams to iron out environment/deployment issues.Performance Objectives:Adapt quickly to the assigned product team and ways of working.Effective collaboration with key product team stakeholders (Engineering Delivery Manager / EDL, PO, BA, Dev Lead & offshore partner team) and demonstrate testing contribution.Establish a knowledge transition plan by working closely with the Product team stakeholders i.e. Engineering Delivery Lead, Product Owner (and BA).Effective collaboration with the Quality Engineering Practice Manager to facilitate and improve testing practices.Skills and Experience Specification:Essential:Experience: Strong previous experience working with Scrum teams specialising in both manual testing and test automation.Technical Expertise: Previous working experience as a Senior Quality Engineer, with proficiency in Pega (including Scenario testing), test automation tools (Katalon Professional or Expert certified), DevOps pipelines (CI/CD) and Azure Test Plans.Soft Skills: Analytical thinking, problem-solving, communication, collaboration and the ability to handle high-pressure situations.Language Skills: High proficiency in written and spoken English.Work Environment: Hybrid role based in central London, requiring three days in the office with the option to work remotely for two days.Desirable:Experience/Certifications: Strong understanding of London Market business, preferably London Market Insurance Essential LM1/2 certified.What We OfferThe Tokio Marine HCC Group of Companies offers a competitive salary and employee benefit package. We are a successful, dynamic organisation experiencing rapid growth and are seeking energetic and confident individuals to join our team of professionals.The Tokio Marine HCC Group of companies is an equal opportunity employer. Please visit for more information about our companies.

Job Title: Software Programmer Agency: SS WEB TECHNOLOGIES LTD Location: Leeds, United Kingdom Salary/Rate: Not Specified SS Web Technologies is a GB-based IT firm with a proven track record of excellence and performance. Our team comprises highly-trained professionals dedicated to delivering innovative IT solutions that address complex business challenges. We value technical expertise, collaboration, and a commitment to client success. We are currently seeking a talented and motivated Software Programmer to join our team. As a Software Programmer, you will be responsible for designing, coding, testing, and maintaining software applications that drive our business processes and enhance user experiences. Your skills and creativity will contribute to the development of cutting-edge solutions, shaping the future of our organization. Responsibilities: Collaborate with software developers and business analysts to understand project requirements and design software solutions accordingly. Write efficient and clean code for software applications, ensuring adherence to coding standards and best practices. Test and debug software programs to identify and resolve any issues or bugs. Implement software enhancements and updates to meet changing business needs and technology advancements. Participate in code reviews and provide constructive feedback to maintain code quality and improve team performance. Work closely with cross-functional teams to ensure seamless integration of software components. Stay up-to-date with emerging technologies and industry trends, making recommendations for continuous improvement. Document software functionalities, technical specifications, and troubleshooting guides. Requirements: Proven work experience as a Software Programmer or a similar role, showcasing hands-on experience in software development. Strong understanding of software development methodologies and best practices. Knowledge of database management and SQL. Experience with version control systems (e.g., Git) to manage code changes effectively. Solid problem-solving and analytical skills to identify and resolve software-related issues. Ability to work both independently and collaboratively in a team environment. Excellent communication and interpersonal skills. Preferred Qualifications ( Mandatory): Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent work experience). Familiarity with web development frameworks (e.g., React, Angular, website ). Experience in mobile app development for Android or iOS platforms. Knowledge of cloud computing platforms (e.g., AWS, Microsoft Azure). Job Title: Software Programmer Agency: SS WEB TECHNOLOGIES LTD Location: Leeds, United Kingdom Salary/Rate: Not Specified Join a WhatsApp channel that posts ONLY UK visa sponsorship jobs: SS Web Technologies is a GB-based IT firm with a proven track record of excellence and performance. Our team comprises highly-trained professionals dedicated to delivering innovative IT solutions that address complex business challenges. We value technical expertise, collaboration, and a commitment to client success. Summary Table of Contents hide We are currently seeking a talented and motivated Software Programmer to join our team. As a Software Programmer, you will be responsible for designing, coding, testing, and maintaining software applications that drive our business processes and enhance user experiences. Your skills and creativity will contribute to the development of cutting-edge solutions, shaping the future of our organization. Responsibilities: Collaborate with software developers and business analysts to understand project requirements and design software solutions accordingly. Write efficient and clean code for software applications, ensuring adherence to coding standards and best practices. Test and debug software programs to identify and resolve any issues or bugs. Implement software enhancements and updates to meet changing business needs and technology advancements. Participate in code reviews and provide constructive feedback to maintain code quality and improve team performance. Work closely with cross-functional teams to ensure seamless integration of software components. Stay up-to-date with emerging technologies and industry trends, making recommendations for continuous improvement. Document software functionalities, technical specifications, and troubleshooting guides. Requirements: Proven work experience as a Software Programmer or a similar role, showcasing hands-on experience in software development. Proficiency in programming languages such as Java, C++, C#, Python, or JavaScript. Strong understanding of software development methodologies and best practices. Knowledge of database management and SQL. Experience with version control systems (e.g., Git) to manage code changes effectively. Solid problem-solving and analytical skills to identify and resolve software-related issues. Ability to work both independently and collaboratively in a team environment. Excellent communication and interpersonal skills. Preferred Qualifications ( Mandatory): Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent work experience). Familiarity with web development frameworks (e.g., React, Angular, website ). Experience in mobile app development for Android or iOS platforms. Knowledge of cloud computing platforms (e.g., AWS, Microsoft Azure). Education: Bachelor's (Mandatory) Master's (Preferred) Benefits: Canteen Company events Company pension Flexitime Free parking On-site gym On-site parking Relocation assistance Sick pay Transport links UK visa sponsorship Work from home How to Apply; Interested and qualifiedcandidates should: Click here to apply online for this job Disclaimer Scam Warning:Please take note that the employees at will never get in touch with you or ask you to do so in order to deal, help, or make a payment. A scammer is anyone who claims to be representing us in this way. Note: The sole purpose of this article is to provide information. We are not agents for Visas. Beyond posting openings, we don't offer any kind of support. Vacancies given on this website are obtained from the Internet. Please check the genuineness of the companies you are applying to while proceeding with the application. You May Also Like: Cleaners (Part Time) at Maid2Clean Engineering Team Leader - UK Visa Sponsorship Available MSK Physiotherapist: Sponsorship Available Assistant Psychologist: Sponsorship Available Deputy Nursery Manager: Sponsorship Available Clinical/Pharmacy Technician: Sponsorship Available Care Worker Required - Weekend availability - Weekly Payment at Phoenix Care Staff Limited Mental Health Social Worker: Sponsorship Available Senior Dental Radiographer: Sponsorship Available Care Assistant at Midplant LTD Clinical Psychology Assistant Practitioner: Sponsorship Available Warehouse Operative at Everest Recruitment and Services 33 Spread the love Author: Simon Robert EasyInfoBlog is a multi-author blog. We have experts and professionals in various fields who share their ideas and expert knowledge to help you with your daily information needs. Thanks for reading! Leave a Reply Comment Name Email Website

Prolific Academic Ltd is seeking Data Scientists and Data Analysts to join our Expert Network in Colchester, UK - Remote. Candidates will train and evaluate AI models using their data expertise, earning up to $80 per hour. Successful applicants should possess a relevant degree, professional experience in data analysis, and proficiency in programming languages like Python and SQL. Responsibilities include reviewing AI-generated insights, validating technical claims, and ensuring high standards of model performance.

OUR IMPACT Corporate Planning & Management (CPM) unifies Finance & Planning, Global Procurement, Product & Reporting, CPM Engineering and CPM Management teams to deliver business planning and analytics, expense management, third party risk management, sustainability strategy for our operations and supply chain, and governance strategies across the firm. Global Procurement Enables the firm to work strategically with third parties, ensuring strong commercial and compliance controls while promoting sustainability. It drives value, encourages innovation, and reduces risks throughout the supply chain for services and non compensation spending. Key teams include Strategic Sourcing, which works with business units to source and contract third party products and services, optimize value, and digitize commercial commitments. They monitor the firm's main relationships to support ongoing improvement and consistent value delivery. Third Party Risk Management (TPRM) identifies, assesses, manages, and monitors third party risks for all relationships, including vendors and contingent workers, helping to prevent issues like cybersecurity threats and operational disruptions. Procure to Pay (P2P) oversees the payment process, from vendor onboarding and invoice handling to travel expense processing and compliance, ensuring efficiency. The Travel team manages travel services and policy for cost effectiveness and compliance. Sustainable Operations lead emission reduction strategies and ESG risk management in the supply chain, supporting environmental and social goals. Product & Reporting Manages product lifecycle and reporting for vendor supplied and internal solutions. This team provides CPM stakeholders with tools and insights to meet business and regulatory needs. The Product team maintains technology platforms like FP&A systems, Spend Management, and Third Party Risk Management tools, focusing on user experience and digital workflows for vendor management and compliance. The Reporting team creates reports, dashboards, and analytics to show spending patterns, risk metrics, and performance, helping stakeholders monitor KPIs, find cost savings, and make informed decisions while ensuring data accuracy and compliance. Finance & Planning Manages planning and reporting to support the firm's strategic goals, integrating revenue, expense, liquidity, and capital planning in collaboration with Controllers, Treasury, and Risk. This pillar includes divisional CFOs who advise on financial opportunities and manage zero based budgeting. Product Finance oversees governance and accounting for non compensation expenses, ensuring efficient use and transparency for senior leadership. Corporate Insurance & Advisory manages insurance needs, connects risk to insurance solutions, and provides advisory support for firm activities and claims. CPM Engineering Develops solutions for managing third party spend, data, automation, budgeting, forecasting, and expense allocation to support decision making aligned with strategic objectives. CPM Management Includes senior leaders and teams that give strategic oversight and operational support across The Core. This pillar covers the Chief of Staff function and Communications and User Engagement team, which manage change initiatives and people strategies for CPM. It also leads operational risk programs, ensures compliance with risk and resilience policies, and manages CPM specific risks with proper controls. YOUR IMPACT This role sits within Product & Reporting. The Product & Reporting team is a global team who enable Goldman Sachs to manage our vendor contracts and third party risk actively and effectively, deliver supply chain effectiveness, travel & expense processing & enable Source to Pay activity through the platforms we maintain within our architecture. Through excellent functional, project, program, and change management skills, along with a bias for becoming the subject matter or technical expert and driving our strategic architectural vision, this team seeks to fulfil the vision of our clients and partners with employees across platforms like Ariba, S4, Concur, KY3P & Fieldglass. The Product & Reporting Team work closely with senior leadership, process owners, CPM Engineering and our vendors to drive supply chain value and achieve Corporate Planning & Management's objectives & key results. This role, positioned within the EMEA Product Team, will support the delivery of our Customer Journey through our ProcurementHub Process Orchestration Platform (Powered by ORO Labs). The role requires regular collaboration with various functions across the firm, independent work capability, and interaction with senior professionals. The ideal candidate will be a skilled Product Owner experienced across Procurement Platforms and Processes. This role requires a blend of analytical skills, business process expertise, product design capabilities, and low code/no code system configuration & testing experience to ensure the seamless implementation of the ProcurementHub platform. Job responsibilities will include, but are not limited to: Work with business stakeholders to gather and document requirements for ProcurementHub and convert them into detailed user stories. Partner with Strategic Sourcing and Third Party Risk Management (TPRM) teams to automate manual policies into user friendly processes. Architect and configure end to end procurement orchestration workflows using ORO Labs AI to automate complex intake, risk, and compliance processes. Identify opportunities to improve the procurement experience through automation and AI capabilities. Lead workshops, meetings, and demonstrations to align stakeholders, collect feedback and deliver user training. Define testing strategies and lead User Acceptance Testing (UAT) to ensure new features meet business objectives and GS security standards. Monitor platform adoption and usage metrics to identify friction points in the procurement journey. Leverage data driven insights to propose iterative improvements to the user experience. Communicate product updates, release notes, and roadmap progress to senior leadership and cross divisional partners. Assist with post go live validations and ensure smooth, defect free production rollouts. Qualifications: Bachelor's degree in Business Administration, Computer Science, Information Systems, or related field, or equivalent experience. Over 5 years' experience as a Business Analyst or Product Lead, preferably with understanding of the "Intake to Pay" lifecycle, including supplier onboarding, risk tiering, and contract management. Ability to build complex logic and workflows in orchestration platforms (e.g., ORO Labs, ServiceNow, or similar BPM tools) preferred. Understanding of Large Language Model (LLM) capabilities and the ability to write structured, effective instructions/prompts for AI agents to execute business tasks. Familiarity with data structures and the ability to map fields between disparate systems is preferred. Familiarity with Ariba Invoicing, Ariba SLP, S4 HANA, or similar Invoice to Pay and Vendor Management applications is preferred. Experience participating in at least one medium to large scale platform deployment project within Professional Services. Understanding of Agile change management and platforms such as JIRA and Confluence or comparable tools. Excellent analytical skills, with a preference for using data to guide decisions and direction. Outstanding communication skills and ability to work effectively with cross functional teams and present to senior leadership. Ability to collaborate across hierarchies and regions, with a flexible working style. Comfort working in a fast paced, evolving environment where requirements may shift based on regulatory or strategic changes. Experience in the Financial Services industry is advantageous, though not required. Proactive, enthusiastic, and team oriented attitude. ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

OUR IMPACT Corporate Planning & Management (CPM) unifies Finance & Planning, Global Procurement, Product & Reporting, CPM Engineering and CPM Management teams to deliver business planning and analytics, expense management, third party risk management, sustainability strategy for our operations and supply chain, and governance strategies across the firm. Global Procurement enables the firm to work strategically with third parties, ensuring strong commercial and compliance controls while promoting sustainability. It drives value, encourages innovation, and reduces risks throughout the supply chain for services and non compensation spending. Key teams include Strategic Sourcing, which works with business units to source and contract third party products and services, optimize value, and digitize commercial commitments. They monitor the firm's main relationships to support ongoing improvement and consistent value delivery. Third Party Risk Management (TPRM) identifies, assesses, manages, and monitors third party risks for all relationships, including vendors and contingent workers, helping to prevent issues like cybersecurity threats and operational disruptions. Procure to Pay (P2P) oversees the payment process, from vendor onboarding and invoice handling to travel expense processing and compliance, ensuring efficiency. The Travel team manages travel services and policy for cost effectiveness and compliance. Sustainable Operations lead emission reduction strategies and ESG risk management in the supply chain, supporting environmental and social goals. Product & Reporting manages product lifecycle and reporting for vendor supplied and internal solutions. The Product team maintains technology platforms like FP&A systems, Spend Management, and Third Party Risk Management tools, focusing on user experience and digital workflows for vendor management and compliance. The Reporting team creates reports, dashboards, and analytics to show spending patterns, risk metrics, and performance, helping stakeholders monitor KPIs, find cost savings, and make informed decisions while ensuring data accuracy and compliance. Finance & Planning manages planning and reporting to support the firm's strategic goals, integrating revenue, expense, liquidity, and capital planning in collaboration with Controllers, Treasury, and Risk. This pillar includes divisional CFOs who advise on financial opportunities and manage zero based budgeting. Product Finance oversees governance and accounting for non compensation expenses, ensuring efficient use and transparency for senior leadership. Corporate Insurance & Advisory manages insurance needs, connects risk to insurance solutions, and provides advisory support for firm activities and claims. CPM Engineering develops solutions for managing third party spend, data, automation, budgeting, forecasting, and expense allocation to support decision making aligned with strategic objectives. CPM Management includes senior leaders and teams that give strategic oversight and operational support across The Core. This pillar covers the Chief of Staff function and Communications and User Engagement team, which manage change initiatives and people strategies for CPM. It also leads operational risk programs, ensures compliance with risk and resilience policies, and manages CPM specific risks with proper controls. YOUR IMPACT This role sits within Product & Reporting. The Product & Reporting team is a global team who enable Goldman Sachs to manage our vendor contracts and third party risk actively and effectively, deliver supply chain effectiveness, travel & expense processing & enable Source to Pay activity through the platforms we maintain within our architecture. Through excellent functional, project, program, and change management skills, along with a bias for becoming the subject matter or technical expert and driving our strategic architectural vision, this team seeks to fulfil the vision of our clients and partners with employees across platforms like Ariba, S4, Concur, KY3P & Fieldglass. The Product & Reporting Team work closely with senior leadership, process owners, CPM Engineering and our vendors to drive supply chain value and achieve Corporate Planning & Management's objectives & key results. This role, positioned within the EMEA Product Team, will support the delivery of our Customer Journey through our ProcurementHub Process Orchestration Platform (Powered by ORO Labs). The role requires regular collaboration with various functions across the firm, independent work capability, and interaction with senior professionals. The ideal candidate will be a skilled Product Owner experienced across Procurement Platforms and Processes. This role requires a blend of analytical skills, business process expertise, product design capabilities, and low code/no code system configuration & testing experience to ensure the seamless implementation of the ProcurementHub platform. JOB RESPONSIBILITIES Work with business stakeholders to gather and document requirements for ProcurementHub and convert them into detailed user stories. Partner with Strategic Sourcing and Third-Party Risk Management (TPRM) teams to automate manual policies into user friendly processes. Architect and configure end to end procurement orchestration workflows using ORO Labs AI to automate complex intake, risk, and compliance processes. Identify opportunities to improve the procurement experience through automation and AI capabilities. Lead workshops, meetings, and demonstrations to align stakeholders, collect feedback and deliver user training. Define testing strategies and lead User Acceptance Testing (UAT) to ensure new features meet business objectives and GS security standards. Monitor platform adoption and usage metrics to identify friction points in the procurement journey. Leverage data driven insights to propose iterative improvements to the user experience. Communicate product updates, release notes, and roadmap progress to senior leadership and cross divisional partners. Assist with post go live validations and ensure smooth, defect free production rollouts. QUALIFICATIONS Bachelor's degree in Business Administration, Computer Science, Information Systems, or related field, or equivalent experience. Over 5 years' experience as a Business Analyst or Product Lead, preferably with understanding of the "Intake-to-Pay" lifecycle, including supplier onboarding, risk tiering, and contract management. Ability to build complex logic and workflows in orchestration platforms (e.g., ORO Labs, ServiceNow, or similar BPM tools) preferred. Understanding of Large Language Model (LLM) capabilities and the ability to write structured, effective instructions/prompts for AI agents to execute business tasks. Familiarity with data structures and the ability to map fields between disparate systems is preferred. Familiarity with Ariba Invoicing, Ariba SLP, S4 HANA, or similar Invoice to Pay and Vendor Management applications is preferred. Experience participating in at least one medium-to-large-scale platform deployment project within Professional Services. Understanding of Agile change management and platforms such as JIRA and Confluence or comparable tools. Excellent analytical skills, with a preference for using data to guide decisions and direction. Outstanding communication skills and ability to work effectively with cross functional teams and present to senior leadership. Ability to collaborate across hierarchies and regions, with a flexible working style. Comfort working in a fast paced, evolving environment where requirements may shift based on regulatory or strategic changes. Experience in the Financial Services industry is advantageous, though not required. Proactive, enthusiastic, and team oriented attitude. We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

Data Science & Analysis - AI Training - Brighton, UK Remote Data Science & Analysis - AI Training About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Data Scientists and Data Analysts to join our Expert Network to help train and evaluate cutting-edge AI models using real technical expertise. If you have the necessary experience, we'll send you a quick 10 to 15 minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring Education: a BS, MS, or PhD in Data Science, Statistics, Mathematics, or a closely related quantitative field. Professional Experience: real-world experience in data analysis, predictive modeling, or machine learning engineering. Technical Rigor: the ability to solve complex statistical problems and interpret high-level data visualizations independently. Analytical Mindset: strong attention to detail with the ability to identify subtle logical fallacies in statistical reasoning or data interpretations. LLM Fluency: significant experience using LLMs to assist with data workflows, with a clear understanding of where these models typically hallucinate or fail. Communication: the ability to explain complex mathematical concepts or data insights clearly and concisely. A PayPal account to receive payment from our clients. What you'll be doing in the role Evaluate LLM Responses: review AI-generated data insights and statistical analysis for accuracy, clarity, and completeness. Fact-Check Technical Claims: use authoritative references to validate mathematical proofs, statistical formulas, and data-driven conclusions. Validate Code & Outputs: execute data-related scripts (e.g., Python/R) to ensure they produce correct results and handle edge cases properly. Annotate Model Performance: identify strengths and weaknesses in how a model reasons through data problems or builds predictive models. Ensure Alignment: verify that model responses follow specific system guidelines and maintain a high standard of professional technical behavior. Key Technologies Programming: proficiency in Python (Pandas, NumPy, Scikit-learn) or R. Data Querying: advanced SQL for complex data extraction and manipulation. Visualization: experience with tools like Tableau, PowerBI, or Matplotlib/Seaborn. Modeling: deep understanding of Machine Learning frameworks (PyTorch, TensorFlow) and statistical modeling techniques. Benefits Join Prolific as a participant and influence the AI models of the future using professional expertise. After assessment, you can join in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We collect your personal data for recruiting and global organization planning. By submitting your application, you agree to Prolific's Candidate Privacy Notice detailing the processing of your information.

Prolific Academic Ltd is seeking Data Scientists and Analysts for its Expert Network to evaluate and train leading AI models. The role involves assessing AI insights for accuracy, validating technical claims, and executing data-related scripts. Candidates should hold an advanced degree in a quantitative field and possess robust experience in data analysis and machine learning. Join Prolific for competitive pay, flexible work hours, and the ability to work remotely while impacting future AI technologies.