1 to 25 of 33 Permanent Data Science Jobs in the City of London

A well respected Insurance firm is looking to hire a Data Science Manager to be responsible for defining the strategic data requirements for delivery of data consumption use cases. You will be comfortable interacting with all front-line underwriters, data engineers and technology departments. You … deployment of automated, optimised and highly effective analytics solutions. This all-round knowledge will be key to ensure effective communication and collaboration with the Data Analytics and Actuarial teams. You will also need to contribute to management and board level reports and demonstrate strong team management skills. KEY REQUIREMENTS … Have strong management track record Have proven stakeholder management including engagement with technical experts and senior management Be an expert in data science techniques Advanced programming skills (Python an advantage) Strong statistical, data manipulation and data analysis skills Strong academic background Experience in dealing with Data More ❯

Head of Data Engineering – Databricks, Azure, Data Strategy, Data Governance, Leadership, Management, Azure, Python, ETL, Data Pipelines, Private Markets A global Private Equity firm are seeking an experienced Head of Data Engineering as part of a critical data transformation and modernisation programme, moving towards … a data-first approach. They are currently in the process of replacing a legacy data-warehouse setup with a platform as a service model using Databricks hosted on Azure, which this role will be responsible for leading, taking line management responsibilities for their Data Engineering team. You … level of optimisation and scalability to operate at a global scale. This will also involve implementing a semantic layer within the platform for effective data management and organisation, as well as the development of associated data pipelines and real-time reporting & visualization capabilities. Once the platform is in More ❯

Head of Data Engineering – Databricks, Azure, Data Strategy, Data Governance, Leadership, Management, Azure, Python, ETL, Data Pipelines, Private Markets A global Private Equity firm are seeking an experienced Head of Data Engineering as part of a critical data transformation and modernisation programme, moving towards … a data-first approach. They are currently in the process of replacing a legacy data-warehouse setup with a platform as a service model using Databricks hosted on Azure, which this role will be responsible for leading, taking line management responsibilities for their Data Engineering team. You … level of optimisation and scalability to operate at a global scale. This will also involve implementing a semantic layer within the platform for effective data management and organisation, as well as the development of associated data pipelines and real-time reporting & visualization capabilities. Once the platform is in More ❯

London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable … their own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Data Science, Computer Science or Physics. Any sports trading experience would be beneficial. This is an office-based role and as well as … very competitive salaries, our client offers an excellent working environment. Skills required: Ideally a MSc in Mathematics, Statistics, Data Science, Computer Science or Physics from strong University from across Europe. Proficient in several of the following: Python, MATLAB, C#, C++, Java Mathematical Modelling Excellent Mathematical skills Analytic More ❯

where every team member is valued, respected, and empowered to contribute their unique skills and talents. The Impact You'll Make As Head of Data and Insight, you'll turn data into a strategic asset, driving business growth, improving customer understanding, and enhancing the products and services we … offer. You'll develop and execute a transformational data strategy, unlocking insights that create operational efficiencies and business impact. Leading a high-performing team, you'll shape a data-driven culture, ensuring our platforms, reporting, and analytics capabilities evolve to meet the needs of a growing, multi-brand … business. Why Join Us? Lead Data Transformation: Develop and execute a business-wide data strategy, driving a single customer view and actionable insights Shape a Data-Driven Culture: Educate and empower stakeholders, ensuring data is at the heart of decision-making Build and Optimise Infrastructure: Oversee More ❯

where every team member is valued, respected, and empowered to contribute their unique skills and talents. The Impact You'll Make As Head of Data and Insight, you'll turn data into a strategic asset, driving business growth, improving customer understanding, and enhancing the products and services we … offer. You'll develop and execute a transformational data strategy, unlocking insights that create operational efficiencies and business impact. Leading a high-performing team, you'll shape a data-driven culture, ensuring our platforms, reporting, and analytics capabilities evolve to meet the needs of a growing, multi-brand … business. Why Join Us? Lead Data Transformation: Develop and execute a business-wide data strategy, driving a single customer view and actionable insights Shape a Data-Driven Culture: Educate and empower stakeholders, ensuring data is at the heart of decision-making Build and Optimise Infrastructure: Oversee More ❯

to define and set up a greenfield standardized MLOps framework for capital markets and set up all the tools and best practices to educate data scientists and equip them with the right tools and expertise. You MUST be hands on. A strong understanding of Devops, Machine learning and Data … to lots of different business areas and business stakeholders, so relationship building and good communication will be key. You will bring a expertise in data science or data engineering, with a specific focus on MLOps for at least 2 years . This platform is critical and will … You will be responsible for building out a greenfield standaridised framework for Capital markets. The core platform is built on Azure Databricks Lakehouse, consolidating data from various front and Middle Office systems to support BI, MI, and advanced AI/ML analytics. As a lead, you will shape the More ❯

Digital Data Manager Location - London/Hybrid (2days office per week) Salary £60k + £7.5K Car Allowance plus Excellent Bens Skills - Digital Data Manager, Consumer Insights Manager , Web analytics, App Analytics, Google analytics (GA), data visualisation, User Experience, User Journey, data visualisation(Tableau, PowerBI) Are you … ready to shape the future of digital ecosystems? Our client is searching for a talented Digital Consumer Data Manager to join their Digital/eCom Team and make an impact by driving data integrity and innovation across an omnichannel consumer journey. If you're passionate about translating business … be comfortable in this arena What Youll Do Step into this exciting position where you'll: Shape the digital ecosystem strategy Act as a data steward, tailoring global data models to local needs while optimizing infrastructure. Be the bridge between business and tech, delivering impactful digital solutions. Offer More ❯

a vital role in owning the Databricks strategy and how they use it to innovate across their industry-leading brands. Designing and developing robust data frameworks, powering real-time data pipelines, and creating data services that deliver actionable insights to their global customer base. Role and Responsibilities … alignment with business goals Architectural Leadership: Serve as the owner and responsible person for all Databricks- related activities, acting as the architect across the Data Engineering, Data Analytics, and Data Science teams. Collaboration Enablement: Bridge the gap between teams by setting up templates and frameworks for … seamless collaboration, data sharing, and enablement aligned with the product vision. Unity Catalogue Management: Manage Unity catalogue, including permissions, usage, paths, locations, and implementation, ensuring data accessibility, security, and reliability. Guidance and Training: Provide guidance, support, and training to teams regarding Databricks usage, offering best practices, monitoring, and More ❯

a digital insurance provider with ambitious plans to become The Best and Biggest in the UK market. We've made huge investments in our data and tech capabilities over the past few years, along with nurturing our 4Cs culture. We're proud of the journey we're on as … insights that support various aspects of our insurance business, specifically focused on our Operations initiatives. You will collaborate closely with cross-functional teams, including data engineers, analysts, and various stakeholders to define, prioritise, and drive the development of data solutions that enable data-driven decision-making and … business growth. Job details - you'll need to have demonstrable experience in: Effectively communicating relevant insights from data using compelling visualisations and narratives in a timely manner Monitoring, understanding and communicating the drivers of performance and influencing claims, operational spend and customer outcomes Scoping, implementing and tracking the impact More ❯

Senior Data Scientist | ~£120k+ Package | Mission-Critical Work | SC-Clearable | Hybrid (3 Days London - Victoria) My client is a respected consultancy delivering high-impact intelligence, research, and technical services to clients. Their work makes a real-world difference and they're currently growing their data science capability. … This is a standout opportunity for a Senior Data Scientist to join a high-trust team working on high-stakes, sensitive projects. You'll need to be eligible for SC Clearance, and ready to tackle meaningful, complex challenges with creativity and precision. Key Responsibilities: Lead the development of scalable … technical insights and shape best practices in collaboration with the CTO and wider team. Key Requirements: 6-8 years of hands-on experience in Data Science, ideally in applied or product-driven environments. Strong background in maths, statistics, ML, and working with big data. Excellent Python skills, plus More ❯

Based in London, our client is looking for an experienced data analyst to join their team as a Senior Analytics Consultant on a permanent and hybrid-working basis, with 2 days at home per week (Mon and Fri). This job would suit someone with at least 3 years … experience in data analytics using mainly SQL, with Python as well, with strong client facing skills and previous experience in driving commercial impact through the data on projects. This person will be responsible for delivering analytical and revenue management solutions within the hotel, holiday and travel sectors, with … hospitality sector, they are looking to expand the team due to the expansion of some key projects. The successful individual will have a strong data analytics background in a role where they are interpreting business data and interpreting how this affects the business and what can be ascertained More ❯

systems and multi-agent frameworks, driving real-world AI applications from concept to deployment. Experience in fast-paced or startup environments. BSc in Computer Science, Data Science, or related technical discipline. Strong communication skills and a bias toward action. Technologies You’ll Work With Experience in some More ❯

systems and multi-agent frameworks, driving real-world AI applications from concept to deployment. Experience in fast-paced or startup environments. BSc in Computer Science, Data Science, or related technical discipline. Strong communication skills and a bias toward action. Technologies You’ll Work With Experience in some More ❯

models across a range of products. As a Technical Pricing Manager , you’ll drive strategic change by enhancing model sophistication and leveraging the latest data science techniques to support profitable business growth. Key Responsibilities: Develop and refine complex actuarial models to deliver high-impact, innovative pricing solutions Conduct … the business to address diverse challenges Produce reports, documentation, and presentations to effectively communicate statistical models and insights to key stakeholders Requirements: Proficiency in data science techniques using Python or R Expertise in statistical analysis software, with knowledge of Willis Towers Watson (Emblem, Radar) being highly desirable Strong More ❯

models across a range of products. As a Technical Pricing Manager , you’ll drive strategic change by enhancing model sophistication and leveraging the latest data science techniques to support profitable business growth. Key Responsibilities: Develop and refine complex actuarial models to deliver high-impact, innovative pricing solutions Conduct … the business to address diverse challenges Produce reports, documentation, and presentations to effectively communicate statistical models and insights to key stakeholders Requirements: Proficiency in data science techniques using Python or R Expertise in statistical analysis software, with knowledge of Willis Towers Watson (Emblem, Radar) being highly desirable Strong More ❯

My client is a powerhouse in Fintech international design, & is seeking a Platform Engineer to build and maintain highly available cloud data applications. You'll collaborate with DevOps and Engineering to integrate these applications within Payroc's ecosystem. This role involves defining platform standards for smooth deployments, ensuring platform … stability and scalability through upgrades, and managing the data analytics platform. Responsibilities: Utilize modern data platform tools (dbt Core, Airflow, Airbyte, Snowflake, etc.). Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration. Design, implement, and maintain scalable cloud data platform infrastructure (AWS … deployment/management using IaC (Terraform, CloudFormation). Implement IaC best practices and use Azure CI/CD for automated deployments. Partner with the data management team and stakeholders to align platform capabilities with requirements. Establish controls and monitoring for system uptime and proactive operational maintenance. Plan and manage More ❯

the world's largest open database of companies, and is trusted by regulators, financial institutions, investigative journalists, and businesses for its unparalleled breadth of data, covering over 200 million companies across 140+ jurisdictions, including the entirety of the USA. Legal entities are at the heart of the modern world … and as we move into a world of digitalized commerce and AI-generated uncertainty, OpenCorporates will be there to provide the trusted foundational data the world needs. Why join us? We're at an exciting stage of our journey, recently appointing Wojtek Kokoszka as our new Chief Executive Officer. … scaling Zappi to $100 million in revenue. Wojtek joins OpenCorporates with the clear mission to scale the world's authoritative source of legal-entity data, driving performance, fostering innovation, and executing strategic vision to lead OpenCorporates into its next phase of fast growth. About the CTO role This is More ❯

London. The successful Quantitative Analyst will join a small but very talented team and will be expected to interpret, filter, and analyse very large data sets whilst working closely with other analysts and developers. The successful Quantitative Analyst will be a forward-thinking individual who is more than comfortable … own initiative and as a team. You will ideally be educated to at least MSc in a quantitative subject such as Mathematics, Statistics, Computer Science or Physics and any knowledge with sports betting/trading would be beneficial but not essential. This is an office-based role and as … Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deep learning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not essential If you feel you More ❯

basis. The role You will be responsible for leading the vision, strategy, and execution of the product development roadmap for one of our key data analytics software suites. This role requires a balance of strategic thinking, leadership, and hands-on execution to drive product innovation, market success, and customer … end-users to drive product initiatives from conception to launch. Customer & Market Insights: Conduct market research, gather internal and customer user feedback, and analyse data to identify trends, opportunities, and areas for product improvement. Agile Product Development: Lead the product team in an agile development environment, prioritizing features and … ensuring timely and high-quality product releases. Performance Measurement: Define and track key performance indicators (KPIs) to measure product success and iterate based on data-driven insights. Team Leadership & Development: Take ownership of the existing team (~10 people across London, Dublin, Bermuda), build and mentor a high-performing product More ❯

A world class Tech Organisation are looking for a Senior Data Scientist (MLOps) to join their division in London on a hybrid basis - opportunity to join a really innovative environment where you'll work with cutting edge technologies. The company: The organisation have been running very successfully now for … with the business. The role: You'll be joining a multi-disciplinary Senior squad of roughly 6 consisting of Principle and Senior Software Engineers, Data Engineers and Data Scientists, and will be tasked with supporting machine learning teams with deploying and maintaining models in production, ensuring they are … with the ML platform team advocating for effective use of tools like feature stores and model registries. This role acts as the glue between data science and platform engineering teams, fostering MLOps best practices, addressing bottlenecks in inference and retraining pipelines, and resolving production issues to enhance system More ❯

A world-class Tech Organisation is looking for a Senior Data Scientist (MLOps) to join their division in London on a hybrid basis. This is an opportunity to work in an innovative environment with cutting-edge technologies. The company: The organization has been successful for over twenty years and … for many staff members. The role: You will join a multi-disciplinary senior squad of about 6 members, including Principal and Senior Software Engineers, Data Engineers, and Data Scientists. Your main responsibilities will include supporting machine learning teams in deploying and maintaining models in production, ensuring reliability, scalability … team will be essential, especially advocating for effective use of tools like feature stores and model registries. This role acts as a bridge between data science and platform engineering teams, promoting MLOps best practices, resolving bottlenecks in inference and retraining pipelines, and addressing production issues to improve system More ❯

Senior Data Scientist (GenAI) required for a London, globally known software business with hybrid working. I am working with a large Global software organisation to join their team in London, where you will be working on developing world-class products and services in a hugely innovative environment. The company … build a leading platform for travel discovery. You will lead high-impact initiatives with an experimental approach. You'll be involved in the entire data science lifecycle, from defining problems and exploring data to developing and evaluating models. You will also work closely with engineering teams to … learning models in production. Staying updated on AI advancements; you'll continuously experiment with new methodologies to enhance the user experience. Key skills: ** Senior Data Scientist experience ** Commercial experience in Generative AI and recommender systems ** Strong Python and SQL experience ** Spark/Apache Airflow ** LLM experience ** MLOps experience ** AWS More ❯

build products, APIs, frameworks and world-leading deep learning NLP technology . Our tech stack: Programming language: Python Frameworks: FastAPI, Flask, Django Databases and data stores: PostgreSQL, Redis Cloud providers: Google Cloud Platform, Microsoft Azure Events and asynchronous tasks: Celery, NATS, Argo Workflows We work agile in sprints and … next generation of our Cognitive Skill Builder, collaborating with the Machine Learning team to integrate advanced AI features. Work with the Machine Learning and Data Science teams to bring the latest AutoNLU innovations directly to Studio, empowering customers with powerful new tools. Share learnings and best practices in … or FastAPI, with a strong command of building and optimizing backend systems. Hands-on experience with relational/SQL databases, ensuring efficient and reliable data management. Well-versed in software engineering essentials such as unit testing, CI/CD, integration testing, and ensuring code reliability and reproducibility. Familiarity with More ❯

momentum on priority projects alongside senior researcher colleagues. • Writing research and content that contributes to the Institute's thought leadership. • Performing quantitative analysis, including data mapping, scoping, charting, and visualization using tools such as Python. • Collaborating with senior researchers at MSCI and external organizations on co-authored research papers. … regulation, and investor initiatives to inform research and strategy. Your skills and experience that will help you excel: • Degree in a relevant field (e.g., Data Science, Economics, Finance, Sustainability). Master's candidates preferred but not required. • Internship experience in financial industry and/or other analytical fields. … Strong interest in financial markets and sustainability. • Strong quantitative skills and research skills • Strong ability to code and visualize data - competence Python strongly preferable • Articulate communication and ability to manage time across competing projects. • Some exposure to the academic literature on sustainable finance. • Intellectual curiosity, analytical rigor and a More ❯