901 to 925 of 2,107 Permanent Data Science Jobs

ElevenLabs is seeking a Data Scientist in London to own safety datasets and evaluation workflows that underpin AI safety work. You will turn real-world product data into reliable datasets for training and evaluating models, and build scalable data processes used across safety, policy, and engineering teams. … role blends data science, ML, AI safety, and policy, starting with collection and labeling, then building scalable methodologies and contributor networks to meet high quality standards. #J-18808-Ljbffr ...

Zempler Bank, data plays a vital role in how we make better, fairer decisions for our customers and colleagues. As a Data Scientist, you’ll help shape how we use data to protect customers, widen access to credit and create thoughtful, seamless customer experiences all while supporting … improve financial outcomes Your work will be used, not shelved you’ll see your ideas make a difference We value inclusive thinking, ethical data use and continuous learning You’ll be supported to grow your skills, explore new techniques and shape your career path We’re committed to creating ...

thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your … analysis. 3 years of experience in people management, in leading, mentoring, and developing technical and analytical teams. Experience writing, reviewing, and maintaining code for data manipulation and analysis using programming languages (such as Python, R, SQL). Experience presenting to non-technical audiences. Preferred qualifications: PhD in a quantitative ...

way. Capture learnings from deployments and feed them back into reusable patterns, improvements and scalable approaches across the organisation. Your Profile Degree in computer science, engineering, data science, business informatics, innovation management, finance, economics or a related field; equivalent practical experience is also welcome. Experience working effectively … areas such as client advisory, onboarding, KYC, investment processes, operations, risk or compliance. Familiarity with enterprise requirements related to security, governance, risk management, data privacy and regulatory expectations. Experience with modern software development, data management, system integration, cloud technologies, and relevant AI or automation tools. Experience supporting adoption ...

thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your … analysis. 3 years of experience in people management, in leading, mentoring, and developing technical and analytical teams. Experience writing, reviewing, and maintaining code for data manipulation and analysis using programming languages (such as Python, R, SQL). Experience presenting to non-technical audiences. Preferred qualifications: PhD in a quantitative ...

assisted development tools such as Claude Code or GitHub Copilot Strong analytical mindset with the ability to define evaluation frameworks, interpret metrics, and make data-driven product decisions Ability to translate technical concepts into clear, value-based messaging for non-technical and senior audiences Deep expertise in artificial intelligence … ethical governance, and fostering a culture of responsible AI adoption across the organization. Education Bachelor's/Master's/PhD degree in Computer Science, Engineering, Data Science, Business, or a related field Responsibilities Own the product lifecycle for increasing AI integration across Moody's business services ...

office per week) The Opportunity A growing, technology-focused organisation operating within the water and wastewater sector is looking to appoint a Data Analyst/Wastewater Modeller to join its technical team. The business develops innovative, data-driven solutions that help wastewater organisations identify potential issues within sewer … networks, improve operational decision-making and support environmental performance. The role sits within a New Product Development team and combines wastewater hydraulic modelling, data analysis and emerging data-driven technologies. It would suit a Project Engineer, Project Scientist, Urban Drainage Modeller, Wastewater Modeller, Hydraulic Modeller or similar professional ...

Senior Data Analyst - Marketing Analytics - Agency London | £60,000 to £75,000 | Hybrid, 3 days in office This is a strong opportunity for a Senior Data Analyst to work across high profile marketing analytics projects, combining customer insight with commercial impact. You will have real visibility with stakeholders … chance to influence how data drives business decisions. The Company They are a leading customer experience consultancy within a global network, working at the intersection of data, marketing, and technology. Their analytics function brings together data science, analytics, and strategy to improve customer engagement and business ...

analysis. 3 years of experience in people management, in leading, mentoring, and developing technical and analytical teams. Experience writing, reviewing, and maintaining code for data manipulation and analysis using programming languages (such as Python, R, SQL). Experience presenting to non-technical audiences. Preferred qualifications: PhD in a quantitative … fields such as Statistics, Mathematics, Economics, Operations Research, Data Science. Experience in advanced marketing measurement methodologies (e.g., conversion lift, geo-experiments, Media Mix Modeling, brand lift studies) for a major regional or global brand. Experience collaborating cross-team to define data requirements, analyze product metrics, resolve data ...

diverse portfolio of vacancies spanning Design (e.g., Product, Interaction, Service Design), Delivery (e.g., Agile Delivery, Product Management), Technology (e.g., Engineering, Architecture, Testing), and Data (e.g., Analytics, Data Science). Assessment: Screen, interview, and assess candidates effectively against predefined business, technical, and practice-specific requirements. Data Integrity … Maintain accurate, GDPR-compliant recruitment data, applicant tracking pipelines, and analytics within the ATS (ePloy) and HR systems. Sourcing: Execute proactive sourcing strategies, including Boolean searches, LinkedIn Recruiter outreach, and passive candidate engagement across different disciplines to effectively pitch the benefits of TPXimpact. Talent Pipelining: Support the maintenance ...

deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. #WeSolveWhatMatters Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just … owner. This role requires a deep understanding of the insurance sector, its evolving digital landscape, and the ability to deliver AI, data, cloud, and digital transformation solutions that create measurable business impact. You’ll work in an entrepreneurial environment, engaging with senior leadership and key stakeholders to drive revenue ...

spending, together. About the role This is an exciting opportunity to help shape how Pleo builds AI-powered product features, working alongside software engineers, data engineers and data scientists to take ideas from prototype to production. Pleo has over 40,000 customers and a decade of unique spend … data — an incredible foundation to build on. Your mission will be to harness this data to create real product value. Who you’ll be working with and reporting to You’ll be one of the first hires in our Data & AI Products team but, rest assured ...

Data Science Festival is seeking a Data Strategy Manager to lead their data initiatives in a collaborative tech environment. The successful candidate will report directly to the CTO and play a crucial role in ensuring data accuracy and security. Key responsibilities include managing a talented … team and translating data into actionable insights. The role offers a hybrid work arrangement and opportunities for career development, while the ideal candidate will bring proven leadership in data-focused teams and experience with cloud platforms like Azure DevOps. #J-18808-Ljbffr ...

hold up : Own the methodology behind our HEART Analytics, deciding what each score measures, how it's calculated, and how it stays credible when data is incomplete. Delivering outcome-linked metrics : Connect usage data to business outcomes like cost savings, efficiency and compliance risk that enterprise executives … Building for time-poor executives : Design analytics that bring insights to leaders and answers "what should I do?" not just "what happened?" Connecting fragmented data sources : Define the integration strategy to combine Userlane behavioural data with cost data from SAM tools, license data from IT asset ...

Lead Data Engineer (Databricks) - London (Hybrid) - Up to £110,000 Databricks - Apache Spark - Delta Lake - Python - SQL - Azure We're partnering with a growing technology business investing heavily in its cloud data platform and AI capabilities. This is a senior, hands-on leadership role where … architecture and development of a modern Databricks environment, drive engineering best practice, and mentor a team of Data Engineers while shaping the future of the organisation's data strategy. The Role As Lead Data Engineer, you'll be responsible for: Leading the design, development and optimisation ...

summary The Deputy Director of Analytics and Insights is the Trust's senior leader for data, insight and analytics; setting the vision, operating model and standards that make SABP an insight-driven organisation. The postholder ensures executive, divisional and operational decision-making isconsistently supported by timely, trusted, decision-grade … will lead an integrated analytics service that:o provides a single, transparent route for analytics demand, prioritisation and delivery.o establishes metric ownership, definitions and data governance to deliver a single version of truth.o modernises and rationalises the reporting and dashboard estate to focus capacity on high value insight.o builds ...

organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production‐grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‐edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues … Engineering: Building/maintaining production‐grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine‐tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands ...

scientific and technical advances are integrated safely and efficiently into production. This is a key operational, technical and leadership role at the intersection of science, software engineering, high-performance computing, machine learning and 24/7 operational delivery. You will provide technical and people leadership for the team responsible … reliably in operational production. The team plays an important role as operational forecasting moves towards a more diverse mix of physics‐based and data‐driven systems, new computing environments and more complex data flows. These developments require disciplined workflow design, reliable orchestration, clear release processes and close coordination ...

Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands … experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred [Preferred ...

Bermuda Monetary Authority is seeking a Data Engineer/BI Developer within the Data Science and Artificial Intelligence Department to design, build and implement scalable data platforms and BI solutions. The role emphasizes data management, analytics, and enabling self-service insights for regulatory decisions. Applicants … should hold a master’s degree in computer science and have 7+ years of relevant experience, including senior-level work in financial services or regulation, plus skills in #J-18808-Ljbffr ...

shaping the future of fintech – and we’re just getting started. About the Role Checkout.com is looking for an experienced Senior Data Scientist to lead advanced optimisation projects and champion the development of robust, sustainable ML architectures. You will be responsible for the enhancing payment flow through data and ML services, advancing the complex problem of multi-objective optimisation. You will work closely with other Senior and Staff Data Scientists to shape the architecture of our decisioning systems. Key Responsibilities Lead projects and architecture design for multi-objective optimisation and scalable models. Create custom loss functions ...

Full-Stack Engineer (Senior Specialist) to join our Finance Hub team. This role is located in Manchester. Role Overview: The role focuses on strong data analysis skills, logical thinking, problem solving, and system design to develop scalable solutions/AI-enabled capabilities across data platforms and applications. … from gathering requirements, design , build & implement. In this role, youll make an impact in the following ways: Define source-to-target mapping, lineage, and data quality rules Oversee ETL design in Oracle; ensure control points (reconciliations, validations) Partner with Axiom team for model point alignment and submission readiness Drive ...

standards and ensure they are embedded throughout the department Lead the development of the Groups pricing capability Query large databases to extract and manipulate data that is fit for purpose Oversee and assist in the development and implementation of the market leading methodologies you've identified Continuously evaluate methodologies … following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience ...

standards and ensure they are embedded throughout the department Lead the development of the Groups pricing capability Query large databases to extract and manipulate data that is fit for purpose Oversee and assist in the development and implementation of the market leading methodologies you've identified Continuously evaluate methodologies … following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL) A quantitative degree (Mathematics, Statistics, Engineering, Physics, Computer Science, Actuarial Science) Experience ...

owned and paid Adtech channels. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build …/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model ...