For additional information, please review . Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The ideal candidate will combine deep AI engineering expertise with a strong understanding of the investment banking ecosystem, business workflows, and secure enterprise-scale deployment. Key Responsibilities Strategic AI Leadership - Partner with senior bankers and business leads to identify high-impact AI opportunities across deal origination, client intelligence, market analysis, and pitch automation. Develop and execute the AI engineering roadmap aligned to Banking tech strategy and enterprise architecture. AI Engineering & Architecture - Lead the design and development of scalable AI systems using LLMs, NLP, knowledge graphs, and machine learning pipelines. Architect secure, compliant AI solutions that integrate with market data, CRM, internal knowledge bases, and document repositories. Data Strategy - Drive integration of structured (e.g., financial data, CRM) and unstructured (e.g., filings, call transcripts, news) data to enable advanced insights. Oversee data engineering and ML feature pipelines in collaboration with data teams. Productization & Delivery - Convert proofs-of-concept into scalable, enterprise-grade tools. Embed AI solutions into banker workflows via co-pilots, dashboards, and smart document assistants. Governance & Compliance - Ensure all AI systems meet internal standards for explain ability, fairness, and compliance with regulatory obligations. Collaborate with risk, legal, and compliance teams on AI model governance. Team Building & Leadership - Build and lead a high-performing team of AI engineers, ML specialists, and applied data scientists. Foster a culture of innovation, delivery excellence, and business alignment. Qualifications Must-Have Skills & Experience Significant proven data science / AI engineering experience, with multiple years leading teams in financial services or enterprise environments. Demonstrated success building AI applications in investment banking, asset management, or capital markets domains. Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices. Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts, research). Familiarity with front-office workflows in ECM, DCM, M&A, and investment research. Experience deploying AI solutions in secure, high-compliance environments (on-premise, hybrid cloud, or private cloud). Strong communication and stakeholder management skills, especially with senior bankers and C-level executives. Preferred Experience with knowledge graphs and graph-based search. Familiarity with tools like Bloomberg, Refinitiv, Capital IQ, FactSet, PitchBook. Prior work on AI co-pilots, document summarization tools, or automated pitch generation. Exposure to enterprise CRM systems and client intelligence platforms. Advanced degree in Computer Science, AI, Applied Mathematics, or related quantitative field. What Success Looks Like AI tools embedded into daily workflows of bankers and analysts. Reduction in manual effort across client targeting, pitch preparation, and market monitoring. Data assets and ML models fully aligned with enterprise governance and architecture. Scalable AI platform that evolves with the pace of the business and innovation.Shape the future of investment banking with cutting-edge AI. Work at the intersection of technology, capital markets, and innovation. High visibility and impact across the front office and C-suite. Access to world-class data, partners, and AI infrastructure. What we'll provide you By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Business Analysis / Client Services Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review . View Citi's and the poster. Role Summary We are seeking a visionary and hands-on Head of Applied AI Engineering to lead the design, development, and deployment of AI-driven solutions for our Banking division , covering Investment (ECM, DCM, M&A), Corporate and Commercial Banking. This role will bridge the front office and advanced technology, bringing intelligent automation and data-driven decision-making into the heart of dealmaking.
Apr 08, 2026
Full time
For additional information, please review . Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The ideal candidate will combine deep AI engineering expertise with a strong understanding of the investment banking ecosystem, business workflows, and secure enterprise-scale deployment. Key Responsibilities Strategic AI Leadership - Partner with senior bankers and business leads to identify high-impact AI opportunities across deal origination, client intelligence, market analysis, and pitch automation. Develop and execute the AI engineering roadmap aligned to Banking tech strategy and enterprise architecture. AI Engineering & Architecture - Lead the design and development of scalable AI systems using LLMs, NLP, knowledge graphs, and machine learning pipelines. Architect secure, compliant AI solutions that integrate with market data, CRM, internal knowledge bases, and document repositories. Data Strategy - Drive integration of structured (e.g., financial data, CRM) and unstructured (e.g., filings, call transcripts, news) data to enable advanced insights. Oversee data engineering and ML feature pipelines in collaboration with data teams. Productization & Delivery - Convert proofs-of-concept into scalable, enterprise-grade tools. Embed AI solutions into banker workflows via co-pilots, dashboards, and smart document assistants. Governance & Compliance - Ensure all AI systems meet internal standards for explain ability, fairness, and compliance with regulatory obligations. Collaborate with risk, legal, and compliance teams on AI model governance. Team Building & Leadership - Build and lead a high-performing team of AI engineers, ML specialists, and applied data scientists. Foster a culture of innovation, delivery excellence, and business alignment. Qualifications Must-Have Skills & Experience Significant proven data science / AI engineering experience, with multiple years leading teams in financial services or enterprise environments. Demonstrated success building AI applications in investment banking, asset management, or capital markets domains. Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices. Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts, research). Familiarity with front-office workflows in ECM, DCM, M&A, and investment research. Experience deploying AI solutions in secure, high-compliance environments (on-premise, hybrid cloud, or private cloud). Strong communication and stakeholder management skills, especially with senior bankers and C-level executives. Preferred Experience with knowledge graphs and graph-based search. Familiarity with tools like Bloomberg, Refinitiv, Capital IQ, FactSet, PitchBook. Prior work on AI co-pilots, document summarization tools, or automated pitch generation. Exposure to enterprise CRM systems and client intelligence platforms. Advanced degree in Computer Science, AI, Applied Mathematics, or related quantitative field. What Success Looks Like AI tools embedded into daily workflows of bankers and analysts. Reduction in manual effort across client targeting, pitch preparation, and market monitoring. Data assets and ML models fully aligned with enterprise governance and architecture. Scalable AI platform that evolves with the pace of the business and innovation.Shape the future of investment banking with cutting-edge AI. Work at the intersection of technology, capital markets, and innovation. High visibility and impact across the front office and C-suite. Access to world-class data, partners, and AI infrastructure. What we'll provide you By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Business Analysis / Client Services Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review . View Citi's and the poster. Role Summary We are seeking a visionary and hands-on Head of Applied AI Engineering to lead the design, development, and deployment of AI-driven solutions for our Banking division , covering Investment (ECM, DCM, M&A), Corporate and Commercial Banking. This role will bridge the front office and advanced technology, bringing intelligent automation and data-driven decision-making into the heart of dealmaking.
Company Description Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We've been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas' Wheels brands. With a bold dedication for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we're now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value. You'll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good. What you'll do: Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits. Support the data science and AI team in deploying scalable AI applications across the enterprise. Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS. Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries. Develop prompts, fine-tune models, and track results. Evaluate third-party GenAI and LLM technologies for cost-benefit analysis. Deliver projects from scoping and R&D to production deployment and benefit measurement. Follow and contribute to standards for code quality, R&D, and model development. Engineer data for optimal AI application performance. Advise peers and senior management on business and customer impact. Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL. Liaise with third-party partners and stay updated on field advancements and regulations. Collaborate with data governance and data management teams on data requirements. Qualifications What we'd love you to bring: You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences. You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. Familiarity with Databricks, and RAG application architecture a plus Experience with latency optimisation and quantisation preferred Additional Information What's in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises your hard work and contributions to esure's success. 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday. Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances. Company funded private medical insurance for qualifying colleagues. Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members. We'll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources. Driving good in the world couldn't be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities. Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues. We're a proud supporter of the ABI's 'Make Flexible Work' campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work. And much more; See a full overview of our benefits here We are committed to creating an inclusive and diverse workplace where everyone feels valued, respected, and empowered. We celebrate individuality and create spaces where unique backgrounds and experiences can come together. We believe that diverse perspectives drive innovation, in turn enabling us to better serve our customers, community and build a stronger organisation. Our commitment to inclusion extends to every part of our business, from hiring practices to professional growth opportunities, ensuring equal access and support for all.
Apr 08, 2026
Full time
Company Description Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We've been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas' Wheels brands. With a bold dedication for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we're now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value. You'll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good. What you'll do: Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits. Support the data science and AI team in deploying scalable AI applications across the enterprise. Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS. Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries. Develop prompts, fine-tune models, and track results. Evaluate third-party GenAI and LLM technologies for cost-benefit analysis. Deliver projects from scoping and R&D to production deployment and benefit measurement. Follow and contribute to standards for code quality, R&D, and model development. Engineer data for optimal AI application performance. Advise peers and senior management on business and customer impact. Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL. Liaise with third-party partners and stay updated on field advancements and regulations. Collaborate with data governance and data management teams on data requirements. Qualifications What we'd love you to bring: You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences. You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc. Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors. Knowledge of OO programming and software design, i.e., SOLID principles. Knowledge and working experience of AGILE methodologies. Familiarity with Databricks, and RAG application architecture a plus Experience with latency optimisation and quantisation preferred Additional Information What's in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises your hard work and contributions to esure's success. 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday. Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances. Company funded private medical insurance for qualifying colleagues. Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members. We'll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources. Driving good in the world couldn't be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities. Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues. We're a proud supporter of the ABI's 'Make Flexible Work' campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work. And much more; See a full overview of our benefits here We are committed to creating an inclusive and diverse workplace where everyone feels valued, respected, and empowered. We celebrate individuality and create spaces where unique backgrounds and experiences can come together. We believe that diverse perspectives drive innovation, in turn enabling us to better serve our customers, community and build a stronger organisation. Our commitment to inclusion extends to every part of our business, from hiring practices to professional growth opportunities, ensuring equal access and support for all.
Fanalysis is the home of real football fan opinion. Our platform brings together verified supporters to rate players, managers and matches, turning genuine fan sentiment into structured insight that powers media, content and conversation across the game. Instead of the loudest voices dominating the narrative, we surface what real supporters actually think - at scale. We launched in partnership with Sky Sports for the 2025/26 Premier League season, and our platform is already home to a fast growing community of passionate football fans around the world. Backed by a Series A funding round and building partnerships with major media platforms, we're rapidly scaling both our product and our fanbase, with well known voices from football and entertainment already part of the content and conversation. Our ambition is simple: to make fan sentiment the most powerful voice in football and give supporters the platform they've always deserved. The Role We're looking for both a hands on and strategic CTO to lead the next phase of Fanalysis' product and tech journey. This is a pivotal role at the heart of a fast scaling startup that sits at the intersection of fan engagement, real time community sentiment, and data infrastructure. You'll be responsible for building and scaling a consumer facing mobile app that thousands of football fans use simultaneously, architecting the backend systems that support both the product experience and the delivery of high integrity, time sensitive data to our media and commercial partners, and defining how AI and automation reshape every layer of the business. This isn't about adding AI features as an afterthought. We're looking for someone who sees AI native architecture as foundational, from how we build internal tools and workflows, to how we moderate content, surface insights, and deliver value to partners. You'll lead our thinking on agentic systems, using AI to automate operational processes, accelerate development cycles, and create intelligent products that learn and adapt. You've been through scale before, whether it was growing a consumer app from 0 to 100,000+ users, or solving real time performance issues during high traffic peaks. You understand how to balance fast iteration with technical robustness, and how to design systems that power both fan facing experiences and data products with serious SLAs. You'll build and lead a lean, high performing tech team, set the roadmap for infrastructure and tooling, and AI capabilities, and work closely, and work closely with product, commercial, and data teams to bring the Fanalysis vision to life. About You You've led the technical build of a consumer facing mobile app, ideally with a strong community or data component You've scaled a platform through high growth, handling issues like concurrency, latency, caching, and load balancing under pressure You're fluent in data architecture and know how to design data stacks, APIs, and dashboards that deliver timely, accurate insights to clients You've worked on or built a B2B data platform, including delivery to third party clients under SLAs You're confident balancing speed of delivery with tech debt management and long term scalability You have a clear point of view on how AI transforms product development, internal operations, and team structure You've implemented AI/ML in production, whether for content moderation, recommendations, NLP, or operational automation You're excited by agentic AI and understand how autonomous systems can handle workflows end to end, not just assist You've built or led cross functional engineering teams, and know how to attract, motivate, and retain top tech talent You're comfortable working with commercial partners to scope out data needs, debug delivery issues, and keep systems accountable You're collaborative, low ego, and motivated by building something that genuinely improves the fan experience Bonus: experience working in sport, media tech, or startups with high fan or user emotion at their core Bonus: hands on experience with LLMs, vector databases, real time ML inference, or agentic frameworks This is a full time role based in London. Our office is in Soho and we believe in the benefits of working together, so ideally you'd be able to join us in the office at least 3 days a week.
Apr 04, 2026
Full time
Fanalysis is the home of real football fan opinion. Our platform brings together verified supporters to rate players, managers and matches, turning genuine fan sentiment into structured insight that powers media, content and conversation across the game. Instead of the loudest voices dominating the narrative, we surface what real supporters actually think - at scale. We launched in partnership with Sky Sports for the 2025/26 Premier League season, and our platform is already home to a fast growing community of passionate football fans around the world. Backed by a Series A funding round and building partnerships with major media platforms, we're rapidly scaling both our product and our fanbase, with well known voices from football and entertainment already part of the content and conversation. Our ambition is simple: to make fan sentiment the most powerful voice in football and give supporters the platform they've always deserved. The Role We're looking for both a hands on and strategic CTO to lead the next phase of Fanalysis' product and tech journey. This is a pivotal role at the heart of a fast scaling startup that sits at the intersection of fan engagement, real time community sentiment, and data infrastructure. You'll be responsible for building and scaling a consumer facing mobile app that thousands of football fans use simultaneously, architecting the backend systems that support both the product experience and the delivery of high integrity, time sensitive data to our media and commercial partners, and defining how AI and automation reshape every layer of the business. This isn't about adding AI features as an afterthought. We're looking for someone who sees AI native architecture as foundational, from how we build internal tools and workflows, to how we moderate content, surface insights, and deliver value to partners. You'll lead our thinking on agentic systems, using AI to automate operational processes, accelerate development cycles, and create intelligent products that learn and adapt. You've been through scale before, whether it was growing a consumer app from 0 to 100,000+ users, or solving real time performance issues during high traffic peaks. You understand how to balance fast iteration with technical robustness, and how to design systems that power both fan facing experiences and data products with serious SLAs. You'll build and lead a lean, high performing tech team, set the roadmap for infrastructure and tooling, and AI capabilities, and work closely, and work closely with product, commercial, and data teams to bring the Fanalysis vision to life. About You You've led the technical build of a consumer facing mobile app, ideally with a strong community or data component You've scaled a platform through high growth, handling issues like concurrency, latency, caching, and load balancing under pressure You're fluent in data architecture and know how to design data stacks, APIs, and dashboards that deliver timely, accurate insights to clients You've worked on or built a B2B data platform, including delivery to third party clients under SLAs You're confident balancing speed of delivery with tech debt management and long term scalability You have a clear point of view on how AI transforms product development, internal operations, and team structure You've implemented AI/ML in production, whether for content moderation, recommendations, NLP, or operational automation You're excited by agentic AI and understand how autonomous systems can handle workflows end to end, not just assist You've built or led cross functional engineering teams, and know how to attract, motivate, and retain top tech talent You're comfortable working with commercial partners to scope out data needs, debug delivery issues, and keep systems accountable You're collaborative, low ego, and motivated by building something that genuinely improves the fan experience Bonus: experience working in sport, media tech, or startups with high fan or user emotion at their core Bonus: hands on experience with LLMs, vector databases, real time ML inference, or agentic frameworks This is a full time role based in London. Our office is in Soho and we believe in the benefits of working together, so ideally you'd be able to join us in the office at least 3 days a week.
.Senior Principal Data Scientist page is loaded Senior Principal Data Scientistlocations: UK - London (London Wall): Londontime type: Full timeposted on: Posted Todayjob requisition id: R107535 Senior Principal Data Scientist About the Business At Cirium our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium About the Team Propulsion Labs is Cirium's innovation group, focused on solving complex, high impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration. About the Role As a Senior Principal Data Scientist , you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data driven solutions.We welcome candidates from a range of backgrounds and experiences who are excited to apply advanced analytics to real world problems. Responsibilities: Technical Leadership Act as the go-to expert for state-of-the-art advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics. Mentorship & Collaboration Mentor and coach data scientists, fostering a culture of continuous learning and technical excellence. Collaborate closely with product managers, engineers, and domain experts to align data science initiatives with business objectives. Influence strategic decisions by translating complex technical insights into actionable recommendations. Hands-On Development Lead by example through hands-on coding and model development. Design, prototype, and validate innovative solutions for high-impact problems. Partner with engineering teams to deploy models into production environments. Domain Expertise Leverage deep knowledge of aviation, travel, or related industries to inform modeling approaches and deliver customer-centric solutions. Stay ahead of industry trends impacting data-driven products. Requirements: Data Mastery Comfortable working with large, complex, real-world datasets, preferably aviation-related. Expertise in data wrangling, feature engineering, and scalable data pipelines. Depth Experience: in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection Deployment Experience Proven track record of deploying or partnering on customer-facing production ML systems . Proficiency in Python and SQL (experience with distributed or cloud based data platforms is a plus) Ability to communicate technical ideas clearly to both technical and non technical audiences Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Cirium offers aviation and air travel data and analytics to help keep the world in motion. Our people are at the center of who we are and what we do. We put the interests of our customers unmistakably first, we are empowered by the trust we earn from each other and our customers, we share a common global vision for Cirium based diversity, inclusion and collaboration and our passion for discovery will transform industries. Our team delivers insight, built from decades of experience in the sector, enabling travel companies, aircraft manufacturers, airports, airlines and financial institutions, among others, to make logical and informed decisions which shape the future of travel, growing revenues and enhancing customer experiences.
Apr 04, 2026
Full time
.Senior Principal Data Scientist page is loaded Senior Principal Data Scientistlocations: UK - London (London Wall): Londontime type: Full timeposted on: Posted Todayjob requisition id: R107535 Senior Principal Data Scientist About the Business At Cirium our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium About the Team Propulsion Labs is Cirium's innovation group, focused on solving complex, high impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration. About the Role As a Senior Principal Data Scientist , you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data driven solutions.We welcome candidates from a range of backgrounds and experiences who are excited to apply advanced analytics to real world problems. Responsibilities: Technical Leadership Act as the go-to expert for state-of-the-art advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics. Mentorship & Collaboration Mentor and coach data scientists, fostering a culture of continuous learning and technical excellence. Collaborate closely with product managers, engineers, and domain experts to align data science initiatives with business objectives. Influence strategic decisions by translating complex technical insights into actionable recommendations. Hands-On Development Lead by example through hands-on coding and model development. Design, prototype, and validate innovative solutions for high-impact problems. Partner with engineering teams to deploy models into production environments. Domain Expertise Leverage deep knowledge of aviation, travel, or related industries to inform modeling approaches and deliver customer-centric solutions. Stay ahead of industry trends impacting data-driven products. Requirements: Data Mastery Comfortable working with large, complex, real-world datasets, preferably aviation-related. Expertise in data wrangling, feature engineering, and scalable data pipelines. Depth Experience: in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection Deployment Experience Proven track record of deploying or partnering on customer-facing production ML systems . Proficiency in Python and SQL (experience with distributed or cloud based data platforms is a plus) Ability to communicate technical ideas clearly to both technical and non technical audiences Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Cirium offers aviation and air travel data and analytics to help keep the world in motion. Our people are at the center of who we are and what we do. We put the interests of our customers unmistakably first, we are empowered by the trust we earn from each other and our customers, we share a common global vision for Cirium based diversity, inclusion and collaboration and our passion for discovery will transform industries. Our team delivers insight, built from decades of experience in the sector, enabling travel companies, aircraft manufacturers, airports, airlines and financial institutions, among others, to make logical and informed decisions which shape the future of travel, growing revenues and enhancing customer experiences.
