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Location(s): UK, Europe & Africa : UK : London BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most demanding environments. Job Title: Data Scientist Requisition ID: 121365 Location: London - We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Grade: GG11-GG12 Referral Bonus: £5,000 Job Description Are you passionate about working with cutting-edge AI/ML technology? Are you self-motivated to find innovative solutions to complex challenges as part of a team who help keep the UK safe? Join BAE Systems as an experienced Data Scientist. As part of our AI team, you will be working with our National Security Customers to understand their business challenges and identify where AI/ML-based solutions can add value. You will lead on discovery activities to explore opportunities for applying data science techniques to solve customer problems. Working with them, you'll test assumptions on the effectiveness of AI/ML to meet their needs. You will work as part of an empowered, multi-disciplinary AI team whose purpose is to develop common AI propositions that will benefit a range of our customers. Working alongside ML Engineers, AI Strategy Lead and Delivery Management, you will help shape and execute our AI Strategy focused on: Our Customers: Elaborate user needs and measure AI value Our Position: Establish our market position and define our USP Our Skills: Develop our career paths and learning plans for AI Our Partners: Understand technology partner capabilities and build our AI partner ecosystem Our Innovation: Learn through AI experiments and demonstrate pull-through to product development Working in a small team you'll be given as much ownership and responsibility as you have the appetite for, but be part of our much bigger National Security community that will give you the support you need to grow in your career. Our unique customers have interesting, complex data they wish to exploit. You will demonstrate the potential of applying data science approaches to meet their business needs. You will be expected to develop, test and validate machine learning models, providing guidance to others where needed. As a leading AI expert, you'll provide strategic & technical advice to our customers and consider the ethical implications of applying data science approaches in the context of customers' missions. We're embarking upon a pivotal period that will significantly grow our AI capability, where you will be leading on the development of innovative products & services that support our customers' missions. Our senior leadership team will seek your advice on how best to position our AI proposition to customers. You'll have the opportunity to get to know our own business and work with people across a diverse range of professional backgrounds. This is an exciting time to join our team to help pioneer both our customer's and our own AI adoption journey. Not only will you be directly making a huge impact through the solutions you develop, you'll be doing it for an organisation that makes a huge impact on the security of the UK. About you You will have experience in many of the following: Analysis of user needs and advising on the use of relevant standards, methods, tools, frameworks, and processes for data science. Creatively applying innovative thinking and design practices to identify solutions that will deliver value for the benefit of the customer/stakeholder. Employing data science algorithms and methods for complex data processing, statistical analysis, and advanced analytics. Collaboratively designing & building prototypes and Proof of Concept solutions. Conducting data preparation, modelling, labelling, and transformation of 'messy' data, to make ready for the application of data science techniques. Applying AI/ML approaches through design, development, and optimisation of machine learning solutions. Understanding of ethical, privacy, security, and policy concerns relevant to the application of AI/ML. Coding of complex programs and scripts, expert in Python programming. Supervising junior analysts/scientists and ML engineers, providing guidance & coaching. Performing assessment of AI-related risks, identifying recommended mitigations. Shaping product roadmaps & informing strategies to adopt AI/ML. Offering thought leadership on data science trends, benefits, and key considerations presenting to wider communities e.g. blogs, events, and conferences. It would be great if you also had experience in some of these, but if not, we'll help you with them: Developing in Cloud Computing such as AWS, MS Azure. Utilising CI/CD tools, such as Bamboo, Jenkins, TeamCity, Bitbucket, in order to streamline delivery of new features and fixes. Designing and modelling AI/ML architectures. Relational, document, search or graph database systems. Containerisation e.g. Docker, Kubernetes. Producing data science learning plans to meet skills needs. Security Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process. How we will support you Work-life balance is important; you can work around core hours with flexible and part-time working, and many of our roles include hybrid working enabling a mix of working from home and in the office. You'll get 25 days holiday a year and the option to buy/sell and carry over from the year before. Our flexible benefits package includes private medical and dental insurance, a competitive pension scheme, cycle to work scheme, taste cards and more. You'll have a dedicated Career Manager to help you develop your career and guide you on your journey through BAE. You'll be part of our company bonus scheme. You are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing. About our team Our people are what differentiates us; they are resourceful, innovative, and dedicated. We have a mix of generalists and specialists and recognise that this diversity contributes to our success. We recognise the benefits of forming teams from a mix of disciplines, which allows us to come up with cutting-edge, high-quality solutions. Our breadth of work across the Public Sector provides diverse opportunities for our people to develop their careers in new areas of expertise and with new clients. You'll be part of a big company, but we try to create a culture that feels like a small one. The work will stretch you and be challenging, but we encourage a healthy work-life balance. Most of all, we know teams who work well together also perform well. We'll do everything we can to ensure you have fun at work, and in social activities outside of it whether that's virtually or in person, as conditions allow. You will be joining our National Security business which is the largest area within our UK business. Our mission is to be the most trusted partner for our National Security clients in delivery of their core mission. At the end of 2020, we had over 700 employees working across our security and law enforcement customers. This year, we are looking to build on our success and grow even further by recruiting over 100 new members to our team. We have a rich history of working within National Security. In fact, we have over 40 years' experience of delivering advice and solutions to our customers in this sector, supporting them in carrying out their vital missions. More about BAE Systems You will work for a division of BAE Systems who helps nations, governments, and businesses around the world defend themselves against cyber crime, reduce their risk in the connected world, comply with regulation, and transform their operations. We're a consultancy and products business and employ smart, motivated individuals who work together across a range of projects and products. You'll get to work on a variety of different systems for different customers throughout your career with us. We're passionate about Diversity and Inclusion in our workforce and the people you'll work with will reflect this. We employ over 4,000 people across 18 countries in the Americas, APAC, UK, and EMEA. For more information please visit our website: Life at BAE Systems Digital Intelligence We are embracing Hybrid Working. This means you and your colleagues may be working in different locations, such as from home, another BAE Systems office or client site, some or all of the time, and work might be going on at different times of the day. By embracing technology, we can interact, collaborate, and create together, even when we're working remotely from one another. Hybrid Working allows for increased flexibility in when and where we work, helping us to balance our work and personal life more effectively and enhance well-being. Diversity and inclusion are integral to the success of BAE Systems Digital Intelligence . click apply for full job details

At Bridebook, we're digitising the wedding industry! Join us in transforming the wedding planning experience for engaged couples around the world. Who is Bridebook anyway? Bridebook is a SaaS and Marketplace scale-up business revolutionising the wedding industry. We are proud to be the UK's number one wedding planning app and the ONLY global provider! Our mission is to make the wedding planning journey as happy as possible for engaged couples everywhere! With over 90% of the world's 7.5bn population expected to get married in their lifetime, the wedding industry is massive. It is 50% larger than the global taxi and food delivery markets combined, yet it sadly lags in digitalisation and lacks solutions for the modern-day needs of both couples and businesses. So here's Bridebook, set to disrupt the wedding industry. Our innovative platform is designed to make wedding planning effortless and stress-free. From personalised wedding checklists, budget management tools, a vast selection of venues and suppliers, and endless inspiration - you can access it all at your fingertips, on your mobile device! After recently becoming the first app of its kind to launch globally, Bridebook now enables couples to plan destination weddings anywhere in the world. This exciting expansion makes it a truly fantastic time to join us on our journey! Our team is made up of talented creative, analytical, and tech-focused minds! We've collaborated with some fantastic partners including the Natural History Museum, Hilton, the Ritz, Etsy, and Jimmy Choo, and have been featured 12 times on the App Store as well as been rated the number 1 app by Apple. Our investors are well known for supporting some previous successful unicorns such as Airbnb, Pinterest, Skyscanner, and Tesla. What will I be doing? We're seeking a skilled Senior Data Analyst / Data Scientist 12 Month Contract to join our growing team on a mission to make better data-driven decisions. You'll leverage your expertise in statistical analysis, A/B testing, and advanced analytics to uncover actionable insights, optimize processes, and contribute to the development of innovative products. You'll work closely with product, commercial, and engineering teams, so strong communication and collaboration skills are essential. If you're passionate about applying data science to solve real-world challenges, we encourage you to apply! Specific responsibilities will include: Generate data-driven insights to guide strategic decisions across the business, with a focus on operational efficiency and infrastructure. Design and implement robust testing frameworks for A/B testing and experimentation. Collaborate on advanced analytics projects, leveraging machine learning and predictive modeling for process optimization and product improvement. Partner with product managers to execute data-driven projects aligned with company goals. Collaborate with data engineers to identify and analyze opportunities for backend process improvements. Perform in-depth customer segmentation and behavioral analysis to understand user needs and preferences. Confidently & clearly communicate complex data analyses effectively to internal stakeholders, including product and commercial teams. We're looking for someone who: 3+ years of experience working in a relevant data or business intelligence field. Proven experience as a Data Scientist or Senior Analyst in a fast-paced environment. Expertise in statistical analysis, A/B testing, and experimental design. Proficiency with data tools and programming languages (e.g., SQL, Python, R). Experience working collaboratively with cross-functional teams. Experience implementing advanced analytics/machine learning/AI solutions. Excellent communication and stakeholder management skills. Proven ability to perform customer segmentation and behavioral analysis. What if you're a partial fit? We love hearing from anyone who is enthusiastic about changing the wedding industry and welcome candidates with different backgrounds and experiences! We prioritise grit, positivity, and the willingness to get stuck in, and encourage you to apply even if your experience doesn't exactly match this job description. Benefits: 25 days of annual leave, with an extra day every year after three years (up to 30 days). Hybrid Working, we'd love to see you in twice a week, but you are free to come in more often if you'd like. £500 per year Learning and Development budget. Enhanced Family-Friendly Policies. Cycle to Work Scheme. One month fully paid Sabbatical Leave after five years in BB. 2 weeks Working From Home Near Home per year. Wedding Leave (5 days paid). Half-Day Wedding Anniversary Leave. Equity Share Options. An accessible, beautiful and dog-friendly office, with weekly breakfasts, communal lunches, alongside free snacks and more. Yearly BB Summit and quarterly events to celebrate milestones! Location: London, Hammersmith (working hybrid, minimum 2 days a week). Our values: One Team: Together we are better. Keep Accelerating: We work smart. Create Joy: We celebrate going above and beyond. Equal employment opportunity: Research shows that women, neurodiverse individuals, and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! At Bridebook we are committed to creating a diverse and inclusive environment and strongly encourage you to apply. So what's next? You'll hear from our team within 2 weeks regarding your application. We believe in efficient and meaningful conversations, so you'll be happy to hear there isn't a whopping 7 stage process! That's all for now - see you on the dancefloor!

IC London England 77 Shaftesbury Ave Soho 5th Floor London, LND W1D5DU, GBR IC London England 77 Shaftesbury Ave Soho 5th Floor London, LND W1D5DU, GBR About InvestCloud InvestCloud is at the forefront of wealth technology, offering innovative solutions that redefine how the financial services industry operates. With a global presence and a client-first approach, we specialize in digital transformations powered by our flexible, modular technology. About the Team You will be joining the newly formed AI, Data & Analytics team, primarily responsible as a Data Scientist leading various projects within the small AI team. The new team is focused on driving increased value from the data InvestCloud captures to enable a smarter financial future for our clients, in particular focused on "enhanced intelligence". Ensuring we have fit-for-purpose modern capabilities is a key goal for the team. We are seeking a Senior Data Scientist / Machine Learning Engineer with a background in Data Science, Machine Learning, and Generative AI models. The ideal candidate should have a proven track record in delivering business impact and delighting clients by developing and deploying ML and AI models in production, along with excellent problem-solving skills. In this role you will integrate AI and ML solutions into the InvestCloud product suite. Key Responsibilities Implement applications powered by Generative AI and Machine Learning models and deploy them in production Develop and maintain datasets and data pipelines to support Machine Learning model training and deployment Interpret results from Machine Learning models and communicate findings to both technical and non-technical stakeholders Stay updated with the latest advancements in Machine Learning, natural language processing, and generative AI. Analyse large datasets to identify patterns, trends, and insights that can inform business decisions. Work with 3 rd party providers of AI products to evaluate and implement solutions achieving Investcloud's business objectives. Required Skills MSc degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related technical field or equivalent practical experience At least four years of professional experience in Data Science, Machine Learning and AI Outstanding communications skills in English Proficiency in programming in Python Knowledge of Machine Learning frameworks (Scikit-learn) and LLM frameworks (e.g. Langchain) Knowledge of data preprocessing, feature engineering and model evaluation metrics Experience using large language models, generative AI and agentic frameworks Experience working with Snowflake and/or Databricks or similar tools Working experience developing and deploying Machine Learning models in production Working experience with Git and Docker Working proficiency in English Strong communication skills to engage with non-technical stakeholders Ability to work in a fast-paced environment, working across multiple projects simultaneously Ability to collaborate effectively as a team player, fostering a culture of open communication and mutual respect. Preferred skills Working experience with Vector Database Technologies Experience with cloud platforms such as AWS, GCP, or Azure What do we offer Join our diverse and international cross-functional team, comprising data scientists, product managers, business analyst and software engineers. As a key member of our team, you will have the opportunity to implement cutting-edge technology to create a next-generation advisor and client experience. Location and Travel The ideal candidate will be expected to work from the office on a regular basis (3 days minimum per week). Occasional travel may be required. Compensation The salary range will be determined based on experience, skills, and geographic location. Please note Visa sponsorship is not available for this role. Equal Opportunity Employer InvestCloud is committed to fostering an inclusive workplace and welcomes applicants from all backgrounds.

Similarweb is the leading digital intelligence platform used by thousands of global customers. Our wide range of solutions power the digital strategies of companies like Google, eBay, and Adidas. We help our customers succeed in today's digital world by giving them access to data-driven insights, competitive benchmarks, strategic analysis, and more. In 2021, we went public on the New York Stock Exchange, and we haven't stopped growing since! Your job will be to demonstrate how Similarweb's new Search Intelligence solves search marketers' most critical business questions. We approach product marketing as a mission-critical opportunity to disrupt the market intelligence category, make our customers data-driven superheroes, and ultimately let Similarweb's actionable insights speak for themselves. Your Responsibilities: Shape the voice and tell the story of Similarweb's value to SEO and search marketing teams across the world. Ensure the entire company speaks the same language when it comes to your product's messaging and positioning. Launch new products and features to the market, including external communications and campaigns, sales collateral, sales enablement, and usage monitoring. Ensure customer-facing teams are trained and ready to sell, and effectively communicate to customers. Closely collaborate with our product, solutions, marketing, and sales teams to define, develop, and execute product marketing strategies and plans. Drive new sales and post-purchase engagement and retention initiatives for your products and help educate and grow a healthy user base. Additional Responsibilities: Build a deep understanding of our customers and their use cases, Similarweb's value proposition, the market, and the competition to help drive customer engagement. Create feature positioning, messaging, and marketing strategy (based on market factbase and data analysis) to produce content that communicates the Similarweb value in our customers' language. Identify marketing strategies to activate, onboard, educate, engage, up-sell, and retain customers. Work closely with a cross-functional team of product managers, analysts, marketers, business managers, and salespeople to launch features globally. Partner with Product on strategy, positioning, differentiation, and product launch; Marketing on content & campaigns; Enablement on training; GTM on customer feedback and education. Work with our Product Education team to create relevant content that successfully educates customers on how to onboard and get value from the product. Think creatively and analyze data to strategically direct next steps and continually improve performance through optimized messaging and targeting. Requirements: Significant experience in product marketing from a B2B SaaS company. Previous experience working within the SEO or search marketing space. Captivating storytelling, superb communication, and presentation skills. Able to work independently and autonomously, focusing on key outcomes amidst competing priorities. Team player, strong at facilitating alignment and building relationships across an organization. Analytical thinker, excellent problem-solving, planning, and execution skills. A strong writer and able to create compelling one-pagers, decks, and customer-facing collateral. Motivated and hard-working. Ability to be flexible and adapt to change. Why you'll love being a Similarwebber: You'll actually love the product you work with: Our customers aren't our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said "the product." Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. You'll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You'll find the resources you need to take initiative and create meaningful change within the organization. We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours. You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it's Career Week, personalized coaching, or our ongoing learning solutions, you'll find all the tools and opportunities you need to develop your career right here. Diversity isn't just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity, and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

Job Category: Analyst, Data Science, Health Who is Quantium? Quantium is a world leader in data science and artificial intelligence. Established in Australia in 2002, Quantium is a global team of more than 1,100 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics. Quantium partners with the world's largest corporations to forge a better, more insightful world. Quantium Health is a joint venture between Quantium and Discovery Health. Our purpose is to harness the power of data, technology and analytics to drive improved patient outcomes and positive change across the health sector. This is an exciting opportunity to join our Quantium Health UK practice, applying cutting edge data science techniques and technology to solve big problems, underpinned by Quantium's impeccable reputation for safe and ethical use of data. How will you make an impact? Analytics Leadership & Delivery: Lead project teams to design and deliver high-quality analytics, driving success of key initiatives for clients. Technical Execution: Deliver comprehensive analytics processes, from data quality assessment to method selection, design & application, insights generation and visualization, ensuring impactful results. Customer Centric: Develop meaningful solutions based on a deep understanding of clients' objectives. Foster High Performance: Share your knowledge, coach and develop team members to further our collaborative and growth-oriented environment. The superpowers you'll be bringing to the team: Technical proficiency: 5+ years' experience in a highly technical analytics environment, carrying out data analytics or data science work. Advanced Technical Analytics Knowledge: Including data preparation, feature engineering, foundational analytics concepts, model development, and model training. Health Experience: Experience with health datasets and/or health experience in pharma, medtech, or hospitals. Academic Background: Tertiary qualifications in engineering, mathematics, actuarial studies, statistics, physics, or a related discipline. Consultative Approach: Experience building trusted relationships with stakeholders and gaining in-depth understanding of their objectives, in order to develop relevant solutions that solve complex problems. Agile performer: Your capability to move fast with care through a dynamic environment ensures that you deliver exceptional quality without compromise. Collaborator: Experience working with other Data Scientists / Analysts, considering the bigger picture and team dynamics. Remember - you might not tick all the boxes, but don't let that stop you from applying. We're more interested in how you work, your ability to solve problems and think big. What could your Quantium Experience look like? Working at Quantium will allow you to challenge your imagination. You will get to solve complex problems using rigor, precision and by asking great questions - but it also means you can think big, outside the box and push your problem-solving skills to the max. By joining the Quantium team, you'll get to: Forge your path: So many of our team have moved around different teams or offices. You'll be in the driver's seat, and we empower you to make your career your own. Find your kind: Embrace diversity and connect with your tribe (think foodies, dog lovers, readers, or runners). Make an impact: Leave your mark. Your contributions resonate, regardless of your role or rank. On top of the Quantium Experience, you will enjoy a range of great benefits that go beyond the ordinary. Some of these include: Continuous learning: Our vision is empowering our people to thrive. The Analytics Community fosters the development of individuals, thought leadership and technical excellence at Quantium through building strong connections, fostering collaboration, and co-creation of best practice. Flexible Work Arrangements: Achieve work-life balance at your own pace with hybrid and flexible work arrangements. Remote working: Embrace the opportunity to work outside of your assigned home location for up to 2 months every year. Quantium's recruitment process involves the collection and use of personal information. Please click on the link "Privacy" for Quantium's Collection Notice. This provides information on how we collect, use & store your personal information, including potential disclosure to our majority shareholder, Woolworths Group Limited.

Senior Data Scientist We are looking for a Senior Data Scientist to join the ML/AI team. Our ML/AI team within the Data Organisation is a dynamic group of data scientists and machine learning experts passionate about using data to drive innovation. As a Senior Data Scientist on this team, you'll be at the forefront of developing and deploying machine learning and GenAI algorithms models. You'll collaborate with colleagues across the organisation to identify opportunities for automation, improve decision-making, and optimise our products and processes. This is a challenging and rewarding role where you can make a significant contribution to our mission while continuously learning and expanding your skillset in a supportive and collaborative environment. Please note, the minimum expectation for office attendance is two days per week in our central London office. Who are we? We're Funding Circle. We back small businesses to succeed. At Funding Circle, we believe the world needs small businesses. That's why we've made it our mission to help them get the finance they need to grow. With more than a decade of expertise under our belt, we've built a game-changer of a platform with cutting-edge data and technology that's reshaping the landscape of SME lending. Say goodbye to lengthy applications and hello to lightning-fast decisions! In just minutes, SMEs across the UK can get a decision, giving them access to competitive funding in a flash. We know that good business is about good people. So we pride ourselves on providing meaningful, human support as well as fast, hassle-free processes to deliver an unbeatable customer experience. The role Develop and implement machine learning models using traditional ML and GenAI: Design, develop, and deploy robust machine learning models and algorithms to solve complex business problems, with a focus on enhancing various aspects of Funding Circle's operations and decision-making processes. Make use of Generative AI models and services when necessary. Analyse data to identify opportunities to improve Funding Circle's products and processes: We collect large quantities of data as part of running our business, work with analysts and product managers to analyse that data and identify opportunities to enhance decision making and increase automation. Communicate results and engage with stakeholders: Effectively communicate complex technical concepts and findings to both technical and non-technical stakeholders. Present insights and recommendations in a clear and concise manner to drive informed decision-making. Mentorship and knowledge sharing: Actively participate in knowledge sharing within the Machine Learning and AI team and the wider data team, providing mentorship to junior team members and contributing to a collaborative and learning-oriented environment. Continuous learning: Keep up-to-date with advancements in machine learning and artificial intelligence. Apply cutting-edge techniques and technologies to address business challenges and maintain a competitive edge in the financial technology sector. What we're looking for Data curiosity and problem solving skills: The ability and willingness to explore, understand and explain complex datasets and identify opportunities for automation and process improvements. Strong analytical and problem-solving skills to address real-world business challenges. Practical and outcome driven mindset. Proven machine learning expertise: Demonstrated experience in developing and deploying machine learning models, with a strong understanding of various algorithms, including supervised and unsupervised learning methods. Additional knowledge of GenAI and LLMs is an advantage. Software development skills: Strong programming experience, ideally in Python. Ability and willingness to work alongside machine learning engineers on the production implementation of algorithms and machine learning models. Experience working on production applications with software developers is an advantage. The role will require working in close contact with production systems, and quality software engineering practices are essential. Data manipulation, analysis and feature processing: Proficient in data manipulation and analysis using tools like Pandas, Polars, NumPy, and SQL. Ability to work with large-scale datasets and extract meaningful insights. Experience in feature engineering and data preprocessing to optimise input data for machine learning models. Ability to handle data quality issues and outliers effectively. Solid understanding of statistical concepts and techniques for modelling. Collaborative team player: Strong interpersonal and communication skills and the ability to work collaboratively in cross-functional teams, both non-technical (domain experts) and highly technical (software, data and platform engineers). Practical mindset with a focus on team outcomes. Continuous learning and adaptability: Commitment to staying updated on the latest developments in data science and machine learning. Ability to work in a fast paced, high innovation environment. Ready to make a difference? We'd love to hear from you.

About Zeta Zeta is a Next-Gen Banking Tech company that empowers banks and fintechs to launch banking products for the future. It was founded by Bhavin Turakhia and Ramki Gaddipati in 2015. Our flagship processing platform - Zeta Tachyon - is the industry's first modern, cloud-native, and fully API-enabled stack that brings together issuance, processing, lending, core banking, fraud & risk, and many more capabilities as a single-vendor stack. 20M+ cards have been issued on our platform globally. Zeta is actively working with the largest Banks and Fintechs in multiple global markets transforming customer experience for multi-million card portfolios. Zeta has over 1700+ employees - with over 70% roles in R&D - across locations in the US, EMEA, and Asia. We raised $280 million at a $1.5 billion valuation from Softbank, Mastercard, and other investors in 2021. Learn , careers.zeta.tech , Linkedin , Twitter About the role Zeta's Digital Banking SaaS Platform comprises: Neutrino A digital banking platform for crafting stunning mobile and web banking experiences for credit cards, checking accounts, savings accounts, loans and other retail products. Neutrino comprises of backend services, frontend SDKs and white labelled apps across the digital lifecycle of a retail banking customer. Its modules include - Onboarding, Loan Origination, Login, Account Management, Transactions, Card Management, Transfers, Subscription Plans, Insights, Inbox, Customer Support, Open Banking, Credit Health and more. Neutrino has a healthy backlog of enhancements to the above modules along with adding new modules for Investments, Wealth, Insurance, Forex and others. Merlin A conversational AI platform that can be used to build AI agents that respond to questions, provide insights and perform actions on behalf of users. Merlin comprises purpose-trained LLMs, voice infrastructure and chat infrastructure. As a Senior Director, Product Management, you will report into our CEO, and lead a team of Product Managers, Designers and Analysts and work alongside rockstar engineers driving the vision, strategy, and execution of innovative features that enhance user experiences and drive long-term growth for Neutrino and Merlin. You will own and oversee the entire product development lifecycle, from ideation to market launch. Responsibilities Growth Hacking Measure Output metrics (Acquisition, Activation, Retention, Engagement) and Input metrics (Conversion Funnels, Engagement) that matter. Leverage Product Analytics Platforms (Mixpanel, Amplitude etc), Data Analytics Platforms (Metabase, Superset). Creative Feature Ideation to come up with Features that have maximum impact on the metrics that matter. Leverage frameworks for Feature Prioritization. UX Drive the creation of delightful, intuitive and engaging user interfaces in collaboration with UX designers to drive user adoption and NPS. Product Management Lead and mentor a team of product managers, designers and program managers. Meticulously drive each feature to completion. Optimize team efficiency and output. Stay abreast of industry trends, emerging technologies, and regulatory developments to inform product strategy and roadmap. Go to Market Represent the product vision and strategy to stakeholders, customers, and partners, ensuring clear communication and alignment. Partner with sales, marketing, and business development teams to drive product adoption, customer acquisition, and revenue growth. Skills In depth understanding and knowledge of Statistics, Analytics, Business Intelligence, SQL, Product Analytics platforms. Ability to interpret complex data sets and derive actionable insights. In depth understanding and knowledge of technology platforms and their capabilities for IOS, Android and Web development. Keen eye for design and aesthetics. Excellent UX and copywriting skills. Excellent written and verbal communication skills. Experience in conducting user research. Meticulous in program management processes. Experience & Qualifications 10+ years in Product Management, majority of which are spent at a fintech. Software engineering/technical background. Equal Opportunity Zeta is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage applicants from all backgrounds, cultures, and communities to apply and believe that a diverse workforce is key to our success.

Senior Director Product Management, Banking Zeta is a Next-Gen Banking Tech company that empowers banks and fintechs to launch banking products for the future. It was founded by Bhavin Turakhia and Ramki Gaddipati in 2015. Our flagship processing platform - Zeta Tachyon - is the industry's first modern, cloud-native, and fully API-enabled stack that brings together issuance, processing, lending, core banking, fraud & risk, and many more capabilities as a single-vendor stack. 20M+ cards have been issued on our platform globally. Zeta is actively working with the largest Banks and Fintechs in multiple global markets transforming customer experience for multi-million card portfolios. Zeta has over 1700+ employees - with over 70% roles in R&D - across locations in the US, EMEA, and Asia. We raised $280 million at a $1.5 billion valuation from Softbank, Mastercard, and other investors in 2021. Zeta's Digital Banking SaaS Platform comprises: A digital banking platform for crafting stunning mobile and web banking experiences for credit cards, checking accounts, savings accounts, loans and other retail products. Neutrino comprises backend services, frontend SDKs and white labelled apps across the digital lifecycle of a retail banking customer. Its modules include - Onboarding, Loan Origination, Login, Account Management, Transactions, Card Management, Transfers, Subscription Plans, Insights, Inbox, Customer Support, Open Banking, Credit Health and more. Neutrino has a healthy backlog of enhancements to the above modules along with adding new modules for Investments, Wealth, Insurance, Forex and others. Merlin: A conversational AI platform that can be used to build AI agents that respond to questions, provide insights and perform actions on behalf of users. Merlin comprises purpose-trained LLMs, voice infrastructure and chat infrastructure. As a Senior Director, Product Management, you will report to our CEO, and lead a team of Product Managers, Designers and Analysts and work alongside rockstar engineers driving the vision, strategy, and execution of innovative features that enhance user experiences and drive long-term growth for Neutrino and Merlin. You will own and oversee the entire product development lifecycle, from ideation to market launch. Responsibilities Growth Hacking: Measure Output metrics (Acquisition, Activation, Retention, Engagement) and Input metrics (Conversion Funnels, Engagement) that matter; Creative Feature Ideation to come up with Features that have maximum impact on the metrics that matter; Leverage frameworks for Feature Prioritization. UX: Drive the creation of delightful, intuitive and engaging user interfaces in collaboration with UX designers to drive user adoption and NPS. Product Management: Lead and mentor a team of product managers, designers and program managers; Meticulously drive each feature to completion; Optimize team efficiency and output; Stay abreast of industry trends, emerging technologies, and regulatory developments to inform product strategy and roadmap. Go to Market: Represent the product vision and strategy to stakeholders, customers, and partners, ensuring clear communication and alignment; Partner with sales, marketing, and business development teams to drive product adoption, customer acquisition, and revenue growth. Skills In-depth understanding and knowledge of Statistics, Analytics, Business Intelligence, SQL, Product Analytics platforms. Ability to interpret complex data sets and derive actionable insights. In-depth understanding and knowledge of technology platforms and their capabilities for iOS, Android and Web development. Keen eye for design and aesthetics. Excellent UX and copywriting skills. Excellent written and verbal communication skills. Experience in conducting user research. Meticulous in program management processes. Experience & Qualifications 10+ years in Product Management, majority of which are spent at a fintech. Software engineering/technical background. Zeta is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage applicants from all backgrounds, cultures, and communities to apply and believe that a diverse workforce is key to our success. If this role excites you, then come and join us.

At Peak21, we specialize in acquiring large direct-to-consumer (D2C) brands across the United States, Europe, and Asia, in addition to incubating our own. With a portfolio of D2C brands generating $200 million in sales, all bootstrapped and profitable, we are dedicated to fostering growth and innovation in the D2C sector. We are currently seeking a Data Scientist to join our dynamic team. This position is full time in our London office. What makes this an exciting opportunity? Opportunity to join a well-funded startup with top-tier investors Work with a highly experienced and entrepreneurial team Competitive compensation package What You'll Do Consult with management and relevant stakeholders to define goals for business intelligence Work in a collaborative cross-functional team delivering business-relevant data analytics and insights for brands to support their strategies in merchandising, PPC, CRM, influencer marketing, and others Own and manage the data landscape for use in our reporting, including sales data, marketing spend (for various e-commerce companies) Oversee development of dashboards and report creation Support users in using dashboards and reports Review and validate data and maintain data sources Communicate insights to senior management and across the organization Analyze and synthesize data; report back findings with recommendations Oversee team of analysts Who You Are You have multiple years of professional experience as a Data Scientist. Ideal candidates come from rigorous fields like management consulting and investment banking You have a Master's degree or above in a relevant field like Economics, Engineering, Computer Science, Machine Learning, Artificial Intelligence, or others Experience programming for data analysis Extreme rigor when it comes to solving problems and data analysis Able to handle large amounts of data Strong attention to detail Fluent English speaker Excellent communication skills Able to work in a fast-paced environment

Who are we? Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008. Summary In this role, you will work within the Smarsh Cognition team to define, execute, and deliver a product roadmap that adds value to our customers. The Smarsh Cognition product is a foundational component to the Smarsh Platform, enabling various Smarsh products with machine learning and artificial intelligence functionality as a highly resilient and cost-effective service. You will participate in developing the strategy and vision for the team, and you will develop and maintain product roadmaps and features based on team strategy and vision. This role is inherently cross-functional you will work closely with engineering, design, operations, finance, and executive teams to bring a consumer product to the market. A successful candidate will be highly analytical, able to work extremely effectively in a start-up like environment, and adept at synthesizing a variety of technologies and capabilities into high quality products and applications that customers love. How will you contribute? Develop product strategy vision and roadmaps, and developing short, medium, and long-term features to achieve the vision - done in partnership with outbound Product Managers. Gather product input and feedback from internal and external stakeholders and consumers to inform the backlog. Create buy-in for the product vision, both internally and with key external partners. Develop detailed, crisp business (functional & non-functional) requirements and user stories that can be used to create product specifications and architecture for each product and application. Manage and track the creation of all artefacts (wireframes, high-fidelity mock-ups, FAQs, operational cost estimates, etc.) required for the product team to be empowered for delivery. Develop user experience goals, stories, and requirements that will be used to drive product specifications. Manage engineering teams to deliver product to market. Own capacity planning and partner with product organization and sales organization to determine priorities of backlog based on capacity, feasibility, and market importance. Proactively identify and resolve strategic issues that may impair the team's ability to meet strategic, financial, and technical goals. Proactively identify collisions of capacity and utilize stand prioritization matrices to determine the best course of action. Work with team leadership to understand the customer and their needs and concerns, as well as define solutions. Work with engineering team to operate in Dual-Track Agile methodology of discovery and delivery. Own and run backlog refinement, sprint planning, demos, and retro ceremonies. Manage the creation of all technical documentation to be used internally and externally for features your product teams deliver. Champion and gain buy-in for the strategy and roadmap from partner teams through collaboration, documentation, and negotiation that effectively influences peers and senior management. What will you bring? Product Management experience; Bachelor's degree in computer science, engineering, business, design or related field; or equivalent work experience. Experience building, supporting, and managing products with AI/ML components at enterprise scale. Experience with AWS' services, architectures, and pricing models. Experience working cross functionally (design, engineering, product, support, sales). Analytical and quantitative skills; experience using hard data and metrics to back up assumptions and develop business cases. Experience working with diverse groups of people to manage and influence change without direct management line authority. Broad technical breadth and depth, including familiarity with web services, and platform architectures. Preferred Qualifications Experience building API-first services to that are consumed internally and externally by a multitude of customers. AWS Architecture certifications desired. Strong verbal and written communication skills with demonstrated experience engaging and influencing senior executives. High attention to detail including precise and effective customer communications and proven ability to manage multiple, competing priorities simultaneously. Ability to think strategically and execute methodically. Ability to work in a fast-paced environment where continuous innovation is desired. What do we offer? We value our people and offer a competitive salary along with company bonus Strong maternity and paternity scheme A workplace pension scheme Take what you need holiday package Private medical insurance Dental plan Group life assurance Group income protection Employee assistance programme A monthly wellness allowance Adoption assistance Stock options Smarsh is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Smarsh invites all qualified, interested applicants to apply for career opportunities. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. About our culture Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Best Places to Work Awards. Come join us and find out what the best work of your career looks like.

About Intelmatix: Intelmatix is a deep tech Artificial intelligence (AI) company founded in July 2021 by a group of MIT scientists with the vision of transforming enterprises to become cognitive. A cognitive enterprise is one that uses AI and Decision Intelligence in making their decisions. This leads to better business decisions with improved accuracy, reduced errors, and better outcomes across various aspects of the business. Job Summary: We are seeking a highly skilled and experienced Senior Software Engineer to join our dynamic Data team. The ideal candidate will have a strong background in software development with a focus on building and optimizing data pipelines, ensuring data quality, and integrating data from various sources. As a Senior Software Engineer, you will play a key role in designing, developing, and maintaining scalable data infrastructure that supports our business intelligence and analytics efforts. Key Responsibilities: Data Pipeline Development: Design, develop, and maintain robust data pipelines and ETL processes to ingest, transform, and load data from diverse sources into our data warehouse. Data Quality and Governance: Implement and monitor data quality checks, ensuring accuracy, consistency, and reliability of data. Optimization: Optimize data processing workflows for performance, scalability, and cost-efficiency. Collaboration: Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver solutions that meet their needs. Innovation: Stay current with emerging technologies and industry trends in data engineering, and evaluate their potential application to our environment. Mentorship: Provide technical guidance and mentorship to junior engineers, promoting best practices in software development and data engineering. Documentation: Maintain comprehensive documentation for data pipelines, systems architecture, and processes. Qualifications: Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Experience: Minimum of 5 years of experience in software development, with at least 2 years focused on data engineering. Technical Skills: Proficiency in programming languages such as Python, Java, or Scala. Knowledge of data modeling and schema design. Strong system design skills of data-intensive applications. Strong SQL skills and experience with relational databases (e.g., PostgreSQL, MySQL). Experience with at least one cloud platform (e.g., AWS, Azure, Google Cloud) and its data services. Analytical Skills: Strong problem-solving skills with a keen eye for detail and a passion for data. Communication: Excellent written and verbal communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Team Player: Ability to work effectively in a collaborative team environment, as well as independently. Preferred Qualifications: Experience with big data technologies (e.g., Hadoop, Spark, Kafka). Experience with AWS and its data services (e.g. S3, Athena, AWS Glue). Familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Knowledge of containerization and orchestration tools (e.g., Docker, ECS, Kubernetes). Knowledge of data orchestration tools (e.g. Prefect, Apache Airflow). Familiarity with CI/CD pipelines and DevOps practices. Familiarity with Infrastructure-as-code tools (e.g. Terraform, AWS CDK). Experience with machine learning pipelines and MLOps. Employee Benefits At Intelmatix, our benefits package is designed to meet the diverse needs of our employees, reflecting our dedication to their well-being and professional growth. Depending on your office location and specific needs, our benefits may include: Comprehensive Medical Insurance for you and your dependents. In-Office Snacks Pantry. Relocation Support. Children's School Allowance. Role-Related Training Support. Wellness Programs. Salary Advance for Housing Costs. Travel Tickets. Pension Contributions. We are committed to continuously enhancing our benefits package to adapt to the unique needs and circumstances of our valued team members, ensuring a supportive and enriching environment for everyone at Intelmatix.

About the company : Our client is a specialist in the energy transition sector. They assist businesses in their growth by informing them about project developments, financing innovations, and new sources of capital, thereby influencing the evolution of the industry and inspiring leadership in energy transition. Committed to providing comprehensive coverage, insightful analysis, and thought-provoking content on all aspects of the energy transition, their team of passionate professionals works tirelessly to deliver accurate, timely, and engaging information. This ensures that their audience remains well-informed about the evolving energy transition landscape. Their intelligence platform is tailored to the needs of their clients, which include funds and investors, banks, advisory firms, as well as developers and utilities. They offer a variety of products across three main verticals: data, news & analysis, and events. Joining this organization means entering a company with ambitions to continue growing at a significant pace, excelling in existing markets, and expanding their products into new areas. They aim to offer an exciting role with great career progression in a friendly and motivating company environment. They take pride in their positive character and culture of inclusion, supported by regular well-being initiatives. Fully adopting a work-life balance approach, they understand the importance of balancing time between working from home and benefiting from a fun office environment. About the role: Our client is seeking a dynamic individual who is a data analyst with finance expertise. You will play a pivotal role in bridging the gap between data analysis and financial insights within the organization. Reporting directly to their Head of Content, you will lead their data team, consisting of lead data analysts and junior analysts, and will be responsible for ensuring the accuracy and timeliness of data-driven reports. Key Responsibilities: Lead the data team, overseeing the importation and analysis of data from various sources, including news reporters and project finance databases. Serve as the liaison between the data team and other departments, ensuring that data analysis is translated into actionable insights and reports. Take ownership of the data cleaning process to ensure accuracy and reliability in reporting. Utilize finance knowledge to provide in-depth analysis of the energy transition landscape, including understanding financial implications and opportunities. Track developments in the energy and infrastructure sectors. Contribute to media publications covering topics related to energy transition and climate change, providing analytical perspectives rooted in finance and data analysis. Requirements: Bachelor's degree in Finance, Economics, or related field. Minimum of 1-2 years of experience in data analysis, preferably within the financial industry. Strong understanding of data handling techniques and experience with large datasets. Experience in the energy or infrastructure sectors is highly desirable. Excellent communication skills. Proven ability to work collaboratively in a team environment. Entrepreneurial mindset with a drive to take on new challenges and make a significant impact. This position offers an excellent opportunity for an entry-level candidate looking to take their career to the next level or a senior analyst seeking a new challenge in a dynamic and fast-paced environment. If you are passionate about data analysis and finance, we encourage you to apply. UK-23244

Job Description Global Custody Product Development Data Analyst - AVP The Product organization is recruiting a data analyst supporting the Data Management lead globally. The individual will partner with the Product team, Global Delivery (operations), and Technology to execute on the custody data strategy particularly focused on cloud native data platform, custody logical data model, data channels, and data insight progression of analysis, visualization, and prediction, in alignment with Custody product's strategic objective to strengthen State Street's position in the Asset Servicing industry. State Street's product organisation is leading an exciting period of transformation for the business and requires experienced leaders to take the business forward. The role will initiate and support the design and development of solutions closing identified data gaps in alignment with the strategy to build a data driven operating model. Function As an experienced data analyst, you will work with the data practice lead to effectively execute on the overall strategic agenda described above. The role reports to the product development data management lead. The role requires you to be proactively involved in the assessment of available market intelligence (trends, innovations, standards, and tools) and stakeholder feedback (clients and coverage/product management) to support the evolution of the custody business data needs. Responsibilities Execute on the strategy to build a data driven operating model partnering with technology, office of architecture, operations, and enterprise data management covering: Data governance and quality Logical data modeling based on ISO20022 standards to be aligned with the custody operating model Data channels - Lead design and support of SDLC as Product Owner supporting custody APIs and enhancements to client data reporting portals. Alignment of ISO based logical data model to custody capabilities and data consumption marts supporting distribution channels. Data insights - work with the huge quantity of raw data collected and develop relevant actionable insights Participate in iterative technology development Ensure change remains aligned to existing standards and/or internal enterprise data management policies. Support design and efficiency of the operating model such as the development of operational control oversight and dashboard across the custody capability with actionable workflows, partnering with technology and operations Partner with product control in the development of custody product data visualization platform to provide insight into the business. Responsible for ensuring appropriate governance, compliance with policies/frameworks, and oversight of issues, risks, audit, and compliance items related to data topics Present to senior management as requested and lead delivery of initiatives as required. Skills Background or experience in data solutions, data modelling, analysis, and visualization Good understanding of the custody domain and capabilities to make informed decisions and data related to this subject area - critical to understand the business applications of data insights (e.g., what business questions need to be answered) and what data elements will effectively satisfy those needs. Strong analytical skills Able to present data in a way that is both understandable and compelling. Proven change agent with track record of delivery Understanding of techniques and tools, key areas of focus - data management, BI tool usage, dashboarding, charting, report development, data visualization Strong stakeholder management skills with an ability to navigate the organization Prior experience of successfully delivering change in a complex environment while managing competing environments and delivering projects using Agile and Waterfall techniques Experience with mapping business and system process flows using standard tools (Visio, ARIS, etc.). Track record of working in the data space with ISO standards and development of data solutions to solve problems Familiarity with industry integration tools and their applicability in shortening the chain of custody across the investment lifecycle Experience 3 to 6+ years' experience in Securities Services (product, ops, business analysis) Worked in Product organizations in prior roles Operated at a global level Prior experience working in data and/or technology- familiarity with tools such as JavaScript, Python & Python Libraries, Structured Query Language (SQL), Hadoop, Snowflake, Qlik, Tableau, Microsoft Excel, Artificial intelligence, Collibra, Manta Consultative experience Track record of solving data integration challenges and building data solutions across complex and at scale services Outcomes expected from the roles Good understanding of custody and related data management needs Maintain up to date understanding of data tools, standards and changes in building actionable insights Responsible for issue and risk escalation Project / initiative ownership as requested as the product owner Appropriate governance and audit trail on documentation of all key decisions and actions. Split of role: Data strategy design, development, and execution: 85% Market / Client interaction: 15%

ON24 is on a mission to transform the way marketers' market, powering the live, always-on and personalized experiences that businesses need to create engagement, deliver data, find demand and drive revenue. Through the ON24 Platform, marketers can build data-rich, interactive webinars and content experiences, understand audience behavior and turn that intelligence into action. Informed by more than a billion engagement minutes including 12 million polls, 1.3 million surveys, 1.5 million conversations, and conversion of over 17 million resources marketers drive more revenue from ON24 experiences than any other digital channel. Headquartered in San Francisco, ON24 has a wide global footprint with eight offices in key regions, including London, Munich, Singapore, Stockholm and Sydney. Opportunity Overview ON24 is seeking a VP/MD EMEA to run the region. This individual will be a revenue-focused general manager who can bridge operational and sales leadership. We are looking for an individual who can drive the EMEA business to hit aggressive revenue targets and continue to scale operations outside of the USA. Just as importantly, we are looking for someone who will be additive to the ON24 culture, will be invested in developing his/her team and be highly contributory at executive team level. General Management and Operations 'Live and breathe' the company values, driving a culture in EMEA that is consistent with the rest of the global business Mentor the fantastic team in region, prioritizing their personal development and building career plans for top performers Take the lead in executing the business plan of ON24 in EMEA Evaluate, recruit and retain top-tier talent to execute the plan Ensure the EMEA business is running on the right set of consistent KPIs Revenue Leadership Drive predictability and excellence into the commercial functions of ON24 EMEA Nurture cross-functional collaboration across the regional leadership team to achieve all revenue and financial targets Ensure that ON24 has the right team in place to continue its revenue growth Act as a regular executive sponsor in strategic accounts and partnerships, supporting sales staff on the ground Successfully execute the go-to-market plan in EMEA for ON24, both directly and through key partners Taking a hands-on approach to general management Executive Contribution and Strategy Publicly represent ON24 as a senior executive Be part of the executive team, heavily contributing to strategy and sharing best practice Working with key stakeholders globally to distil and communicate success and best practice in the field to ON24's team Play a lead role in building the market strategy and operating plan for ON24 in EMEA Skills & Experience: Experience of running a region of similar scale (P&L ownership) for a US-based company and proven understanding of the importance of managing cross functional stakeholders An advocate for creating a diverse and inclusive work environment A strong background in SaaS (marketing tech/analytics strongly preferred) • A track-record of building, scaling and mentoring high-performance sales teams Proven ability and track-record in implementing effective appraisal structures for employees under your care Experience of running a rigorous sales operation, demonstrating both a quantitative and qualitative approach A strong tract-record of overachieving regional quotas A strong communicator; excellent written and oral skills Strong financial and business acumen Experience engaging with press, investors and analysts. The proven ability to build a culture of excellence and innovation

You will need to login before you can apply for a job. Sector: Project and Program Management Role: Senior Executive Contract Type: Permanent Hours: Full Time About the Business At ICIS, our mission is to optimize the world's resources. We help companies make strategic, sustainable decisions by bringing transparency to markets across the world. We create a comprehensive view of commodities markets, providing companies with the data and intelligence to successfully navigate across global value chains every day. Our customers benefit from instant access to price assessments, reports and forecasts, a dedicated news channel and supply and demand data. You can learn more about ICIS at the link below. ICIS Website About Our Team Our teams are fuelled by curiosity, relentlessly pursuing better customer outcomes. We're on a mission to deliver an unparalleled customer experience, excelling in communication. In a fast-paced environment, we thrive, embracing change with flexibility and composure under pressure. Our high-energy, self-motivated individuals are driven by a genuine desire to make a positive mark on our business. But that's not all - we're creative problem solvers with an entrepreneurial spirit. About the Role ICIS is seeking an experienced Senior Product Manager to join our growing international product team and play a key role in the development and delivery of ICIS' product portfolio, supporting our customers with the tools and data they need to successfully navigate global value chains every day. Working closely with customers, the product and technical teams, and a wider group of stakeholders, you will own and develop the commercial roadmap for Insight - the core of ICIS' portfolio that provides customers data and insight into what matters now. This includes insight, pricing and fundamental data delivered multichannel. Not only will you be working on exciting projects and with cutting edge technologies, but you will also be surrounded by a team of like-minded professionals from whom you can learn and grow. Responsibilities Own the development and delivery of the product strategy for Insight portfolio, with the objective of driving commercial outcomes for the company while meeting the ICIS mission to optimise the world's resources. Manage the product development lifecycle: participate in product discovery and testing, and present findings and recommendations to peers and stakeholders. Interact with customers to understand the challenges in developing industry, gather requirements, and understand key customer needs and market basics, ensuring we build the right things at the right time. Work closely with internal business partners (e.g. Sales, Marketing, Customer Support) to gather and assess product needs in the marketplace, manage customer feedback, and provide input and expertise to marketing and customer materials. Define and prioritise deliverables from design and planning to release while working with technical development teams, UX and design, fellow product managers and wider stakeholders. Work closely with the Product Analyst to interrogate and interpret data; drive conclusions from data and recommend and execute relevant actions to help drive further product development and increase customer satisfaction. Coach and mentor junior members of the team. Requirements Proven experience in managing complex data products, with experience in commodity market data preferred. Intellectual curiosity and a passion for understanding the evolving landscape of commodity markets and technical innovation. Demonstrated ability to bridge product strategy with technical implementation across different channels such as web, Cloud and data integration. Entrepreneurial mindset with the autonomy to drive product strategy and innovation. Excellent organisational and prioritisation skills with the ability to make decisions under pressure. Strong verbal and written communication skills, able to connect with a wide range of stakeholders at various levels of seniority. Understanding of agile methodologies such as Scrum. Strong networking and relationship-building skills across the organisation. Ability to thrive in ambiguity and simplify problems to guide the organisation towards clear decisions. Company At LexisNexis Risk Solutions, our history and entrepreneurial spirit make us a rare combination. We never stop innovating, always looking for ways to leverage the power of insight through data and advanced analytics to help our customers solve problems, make better decisions, and improve operations. Our technologies, decision tools, and data services give our customers a clear advantage in evaluating and predicting risk and enhancing operational efficiency. Our businesses span the following sectors: Aviation Chemicals & Energy Collections & Recovery Corporations & Non-Profits Financial Services Government Healthcare HR Insurance Law Enforcement & Public Safety Tax

Data Analytics Lead - Managing Principal (Senior Manager) Joining Capco means joining an organisation that is committed to an inclusive working environment where you're encouraged to . We celebrate individuality and recognize that diversity and inclusion, in all forms, is critical to success. It's important to us that we recruit and develop as diverse a range of talent as we can and we believe that everyone brings something different to the table - so we'd love to know what makes you different. Such differences may mean we need to make changes to our process to allow you the best possible platform to succeed, and we are happy to cater to any reasonable adjustments you may require. You will find the section to let us know of these at the bottom of your application form or you can mention it directly to your recruiter at any stage and they will be happy to help. ABOUT US Capco is a global technology and business consultancy, focused on the financial services sector. We are: Experts in banking and payments, capital markets and wealth and asset management Deep knowledge in financial services offering, including e.g. Finance, Risk and Compliance, Financial Crime, Core Banking etc. Committed to growing our business and hiring the best talent to help us get there Focused on maintaining our nimble, agile and entrepreneurial culture WHY JOIN CAPCO? You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry. We offer: A work culture focused on innovation and creating lasting value for our clients and employees Ongoing learning opportunities to help you acquire new skills or deepen existing expertise A flat, non-hierarchical structure that will enable you to work with senior partners and directly with clients A diverse, inclusive, meritocratic culture Enhanced and competitive family friendly benefits, including maternity / adoption / shared parental leave and paid leave for sickness, pregnancy loss, fertility treatment, menopause and bereavement. THE ROLE We are currently seeking a Data Analytics Lead to drive the strategy and growth of our industry recognised, and award-winning Data Practice. To be considered for this role you will be a respected authority in the analytics industry, with experience in helping to build and run an analytics consulting business. This is an exciting opportunity to join a growing team of multi-disciplinary data practitioners, who you will direct and collaborate with to develop new businesses and deliver cutting-edge analytics, data science and AI projects for top-tier Financial Services clients. You will play a key role in helping to direct and drive the growth of the data analytics capability, identifying business development opportunities on new and existing clients, and aiding the development of client proposals, and propositions. Capco's global Data Practice of 800+ practitioners are an established team of data strategists, analysts, scientists, architects, and engineers who help client teams harness the power of data to drive insight, optimise performance, and commercialise data opportunities. We enable financial institutions to become data-driven by helping transform their understanding, and use of data to derive value. We translate strategy into action - designing, implementing, and mobilising innovative data capabilities with a focus on efficiency and scalability, and partnering with leading vendors and industry bodies. You will help to develop the UK Data Practice and support the broader Global Data Practice on industry changing topics such as Advanced Analytics, Artificial Intelligence, Intelligent Automation, and Machine Learning. Collaboration, enthusiasm, and encouragement are key in ensuring we maintain our culture, and working in an environment where clients become colleagues. We are looking for a candidate who will empower the team, drive high standards, grow the capability, and deliver customer focused outcomes. Our clients and peers voted us as the A-Team Best Consultancy in Data Management in 2021 and 2022, and value our ability to identify and develop top data talent. In addition to winning the Best Consultancy of the year 2022 in the British Banking Awards. AS A DATA ANALYTICS LEAD YOU WILL Identify and research business development opportunities on new or existing clients and aiding the development of client proposals and bids. Have a strong commercial focus, ability to develop client relationships, direct sales opportunities and develop data propositions. Build market networks and relationships, to enhance the market awareness of the UK Data Practice. Contribute to internally and externally facing innovation practice in your field Create a collaborative culture, driving talent development, provide mentoring and coaching for those developing their careers in data Be comfortable working across multiple projects and initiatives, driving the growth of new and existing data capabilities, engaging internal and external stakeholders. SKILLS & EXPERTISE 8+ years of consulting experience likely in a senior management or director position. Experience in spearheading new business opportunities. Understanding of common data concepts e.g., Data Strategy, Data Management, Data Governance, Data Architecture, Data Privacy, Data Literacy Expertise in one or more of the following Data Science, Analytics & AI concepts: Machine Learning, Business Intelligence, MLOps, Analytics operating models, AI development and operationalisation, Data & AI Ethics, Data Analysis Ability to develop working relationships with a wide variety of clients, from C-suite to technical resources, balancing conflicting priorities. Background managing business and technical teams to deliver projects of varying sizes, from incubating innovative products to delivering large scale productionised analytics and data science models. Essential experience working within Financial Services, Capital Markets, Insurance, or Wealth & Asset Management, in a data science, analytics and AI related role. Desired experience in programme execution, business analysis and change management - proven ability to shape, design, and manage the execution of data programmes. Experienced working in a multi-client environment that emphasises collaboration, and teamwork. Experienced in recruiting and developing teams.