526 to 550 of 3,422 Permanent Data Science Jobs

Meet the Moment with AlteryxWe're living through a once-in-a-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx is leading the transformation.You'll be working on the challenges that sit at the heart … innovation, curiosity, and excellence, there's a place for you here.Why Join Us At Alteryx, you’ll help some of the world’s most data-driven organizations modernize their analytics with AI, automation, and cloud data platforms. This is an opportunity to work at the center of analytics ...

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 ...

validation phase of the sales cycle, answering detailed RFPs, designing compelling solutions, building out standard integration topologies, and ensuring compliance with enterprise security and data privacy standards. Execute Technical Discovery & POCs: Conduct thorough technical discovery sessions with customer IT and business teams. Own the creation of impactful Proofs … Commitment: Ability and willingness to travel up to 30% annually for on‐site customer discovery and presentation sessions. Education: Bachelor’s degree in Computer Science, Business Analytics, Information Systems, or a related technical discipline. Preferred Qualifications: To support our strategic roadmap, we would value hands‐on knowledge of cloud ...

description Connect to your IndustryThe financial services industry is experiencing a period of rapid transformation fueled by the power of AI. Deloitte's AI & Data Financial Services team is at the heart of this revolution, empowering our clients to leverage cutting-edge AI solutions to solve complex business challenges … stakeholders and internal teams to understand business requirements and translate them into robust AI solutions.Design, develop, and implement end-to-end AI pipelines, including data acquisition, pre-processing, feature engineering, model training, evaluation, and deployment.Build and maintain scalable and efficient AI models using machine learning, deep learning, and other ...

install, configure and support Microsoft Fabric solutions for our clients across public and private sector environments. This role will support the delivery of modern data platforms, analytics services and integrated data solutions, helping customers make better use of their data through Microsoft Fabric, Power BI, OneLake, Data Factory, Synapse Data Engineering, Data Warehousing and Real-Time Intelligence capabilities. The Microsoft Fabric Engineer carries out the following activities: 1. Microsoft Fabric Design & Implementation Design Microsoft Fabric solutions that align to customer data strategies, business outcomes and technical requirements. Install, configure and set up Microsoft ...

validation phase of the sales cycle, answering detailed RFPs, designing compelling solutions, building out standard integration topologies, and ensuring compliance with enterprise security and data privacy standards.* ## Execute Technical Discovery & POCs: Conduct thorough technical discovery sessions with customer IT and business teams. Own the creation of impactful Proofs … Ability and willingness to travel up to 30% annually for on-site customer discovery and presentation sessions.* ## Education: Bachelor’s degree in Computer Science, Business Analytics, Information Systems, or a related technical discipline.## **Preferred Qualifications:*** ## To support our strategic roadmap, we would value hands-on knowledge ...

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 ...

platform and Anaplan’s forecasting solutions. The team is responsible for the production execution of forecasting and predictive models, the MLOps infrastructure supporting our data scientists, and the data processing services that deliver insights to enterprise customers. This role reports to the Director of Engineering for Predictive Intelligence … works closely with data scientists, ML engineers, and platform partners. Your Impact Design and implement scalable, fault-tolerant predictive intelligence services and features as a core contributor to the ML Engine backend. Lead the technical implementation of MLOps capabilities, including model training pipelines, deployment workflows, and runtime infrastructure ...

solutions across multiple technical areas within various business functions in support of the firm’s business objectives. In this role, you will work alongside Data Scientists to build cloud-based frameworks for hosting machine learning models, providing software engineering expertise throughout the model development lifecycle. You will leverage both … events Embrace continuous learning, creative problem-solving, and a can-do attitude Required Qualifications, Capabilities, and Skills Bachelor’s degree or higher in Computer Science, Engineering, or a related field, or equivalent formal training/certification Proven hands-on experience in Python application development Proven hands-on experience developing ...

important parts of the platform, from search and recommendations across mobile and web, to pricing and routing optimisation, personalised experiences enhanced by generative AI, data-driven marketing, and AI agents that support our customers.Our machine learning teams own the complete delivery lifecycle from ideation through to production, working closely … with engineers, data scientists and product managers across the business to grow the understanding and impact of machine learning and AI throughout Trainline. As a Senior Machine Learning Engineer, you will bring deep technical expertise and sound judgement to some of our most complex problems, and will play ...

important parts of the platform, from search and recommendations across mobile and web, to pricing and routing optimisation, personalised experiences enhanced by generative AI, data-driven marketing, and AI agents that support our customers. Our machine learning teams own the complete delivery lifecycle from ideation through to production, working … closely with engineers, data scientists and product managers across the business to grow the understanding and impact of machine learning and AI throughout Trainline. As a Senior Machine Learning Engineer, you will bring deep technical expertise and sound judgement to some of our most complex problems, and will play ...

strategy to become the best and biggest player in the UK market. As a company, we’ve made huge investments in our technology, pricing, data and analytics capabilities over the past few years, along with nurturing our 4Cs culture and substantial investment in our people. And as a Finance … hear from you.Role Purpose As an Analytics Engineer in the Telematics Engineering team, you’ll play a key role in transforming raw telematics data into high-quality, productionised features that power pricing, underwriting, and data science workstreams.Sitting at the intersection of data engineering and analytics ...

strategy to become the best and biggest player in the UK market. As a company, we’ve made huge investments in our technology, pricing, data and analytics capabilities over the past few years, along with nurturing our 4Cs culture and substantial investment in our people. And as a Finance … hear from you.Role Purpose As an Analytics Engineer in the Telematics Engineering team, you’ll play a key role in transforming raw telematics data into high-quality, productionised features that power pricing, underwriting, and data science workstreams.Sitting at the intersection of data engineering and analytics ...

platforms, services and best practices while continuously developing your technical expertise. This role reports to the Lead AI & ML Engineer and sits within the Data function, working as part of a specialist AI engineering team. You'll contribute to a mix of dedicated AI initiatives and larger cross‐functional … projects alongside colleagues from Technology, Data and Product. Responsibilities The role covers the full AI/ML engineering lifecycle, from discovery to deployment and monitoring. Responsibilities include Designing and implementing agentic systems using techniques spanning RAG, grounding, prompt engineering, and orchestration on a GCP‐first stack. Building and maintaining ...

it. We pride ourselves on being an organisation of people who genuinely care about helping others. About the Team Data is central to Ofcom's work. We use data from a wide range of sources to understand regulated sectors and provide insight that informs critical policy, operational … regulatory decisions. As Ofcom's responsibilities continue to expand, the volume, complexity and strategic importance of data continues to grow. To support this ambition, Ofcom is investing in a modern cloud-based data platform built on Microsoft Azure and the wider Microsoft data ecosystem. We are seeking ...

keep complex technology programmes on track against industry good practice and standards.Contribute to the definition and own solution architecture artefacts, including infrastructure, applications, data, and integration points, ensuring alignment with enterprise architecture principles and security standards.Support the evaluation and selection of appropriate technologies and platforms to meet business needs … performance, security, and cost-effectiveness.Stay abreast of emerging technologies and industry trends, particularly in areas such as cloud computing, AI/ML, automation, and data analytics, to identify opportunities for innovation to enhance solution delivery, improve processes, and drive innovation for client engagements.Contribute to the growth of the practice ...

against industry good practice and standardsTake responsibility (either individually or by leading a team) for the definition of solution architecture artefacts, including infrastructure, applications, data, and integration points, ensuring alignment with enterprise architecture principles and security standardsLead the evaluation and selection of appropriate technologies and platforms to meet business … performance, security, and cost-effectivenessStay abreast of emerging technologies and industry trends, particularly in areas such as cloud computing, AI/ML, automation, and data analytics, to identify opportunities for innovation to enhance solution delivery, improve processes, and drive innovation for client engagementsContribute to the growth of the practice ...

growing scale-up at a crucial phase of growth and help change an industry for the better.About the teamGenAI Engineering sits within Motorway's Data and AI function, alongside Machine Learning and the Machine Learning Data Platform. We own the AI features that shape how buyers and sellers … feature good sits around the model rather than in it. The prompting is rarely the hard part. Retrieval quality is, and so is the data feeding it, evaluation you can trust, sensible behaviour when things fail, and getting it live and keeping it there. If that's the work ...

crucial phase of growth and help change an industry for the better. About the teamGenAI Engineering sits within the company's Data and AI function, alongside Machine Learning and the Machine Learning Data Platform. We own the AI features that shape how buyers and sellers experience the marketplace … feature good sits around the model rather than in it. The prompting is rarely the hard part. Retrieval quality is, and so is the data feeding it, evaluation you can trust, sensible behaviour when things fail, and getting it live and keeping it there. If that's the work ...

globally, supporting areas including Cost, Risk, Planning, and Controls. Our focus is on providing cutting-edge Controls Analytics solutions that empower clients to make data-driven decisions for managing project controls and overall performance effectively.The team brings advanced analytics and insights across project controls functions, helping clients implement … optimise their processes to manage project risks, schedule performance, and financial health. Leveraging emerging technologies and data-driven strategies, we provide market solutions for clients, ensuring they have a robust basis for informed decision-making.Start Here Grow HereDue to continued growth, we have multiple exciting opportunities for proactive ...

solutions across multiple technical areas within various business functions in support of the firm’s business objectives. In this role, you will work alongside Data Scientists to build cloud-based frameworks for hosting machine learning models, providing software engineering expertise throughout the model development lifecycle. You will leverage both … practice and technology eventsEmbrace continuous learning, creative problem-solving, and a can-do attitudeRequired Qualifications, Capabilities, and SkillsBachelor’s degree or higher in Computer Science, Engineering, or a related field, or equivalent formal training/certificationProven hands-on experience in Python application developmentProven hands-on experience developing, debugging ...

viewpoints into our mindsets, behaviours and operations is fundamental to driving innovation, building strong relationships, and delivering the best solutions for our clients.The opportunityOur data and analytics team focuses on helping our clients unlock value from their information assets by embedding innovative data analytics solutions in existing business … great job satisfaction. EY’s mission is to build a better working world by asking better questions and finding better answers – this is what data analytics is all about. What better way to help us achieve our mission than by working with our data science, analytics, engineering ...

that optimise LLM performance for time-series forecasting, scenario planning, and financial modelling use cases.Collaborate with product and engineering teams to define API contracts, data models, and integration patterns for AI-powered features.Evaluate and recommend AI/ML technologies, frameworks, and models that align with enterprise requirements for security … scalability, and reliability.Lead architecture reviews and provide hands-on technical mentorship to engineering teams implementing production AI solutions.Partner with data science teams to translate complex forecasting models and machine learning algorithms into production-ready, scalable architectures.Design robust observability and evaluation frameworks for GenAI systems, including system guardrails, continuous ...

permanently. Within this role, you’ll be working in a cross-functional Payments team in partnership with mobile, web and machine learning/data science teams to drive the team to success. Responsibilities Work closely with Engineering Managers, Product Managers, Product Designers, and various Engineers to understand problems … with fellow engineers in the cross functional environment to solve problems and write code Mentor and coach your colleagues Own your code, workflows and, data through their entire lifecycle Desired experience Writing high quality code in TypeScript, Scala, Java, Kotlin or another JVM language Relational databases, ideally Postgres NoSQL ...

optimise LLM performance for time-series forecasting, scenario planning, and financial modelling use cases. Collaborate with product and engineering teams to define API contracts, data models, and integration patterns for AI-powered features. Evaluate and recommend AI/ML technologies, frameworks, and models that align with enterprise requirements … security, scalability, and reliability. Lead architecture reviews and provide hands-on technical mentorship to engineering teams implementing production AI solutions. Partner with data science teams to translate complex forecasting models and machine learning algorithms into production-ready, scalable architectures. Design robust observability and evaluation frameworks for GenAI systems ...