16 of 16 Remote/Hybrid Data Science Jobs in Scotland

Data Architect is responsible for designing, building, and managing the data warehouse’s data architecture, ensuring it is scalable, secure, and optimized for performance. This position plays a crucial role in shaping our data strategy, working across multiple departments to design and implement a robust data ecosystem that supports our business intelligence, analytics, data apps, AI and data science initiatives. The ideal candidate will have a deep understanding of data warehousing best practices, data modeling techniques, ETL/ELT processes, and cloud-based data platforms. The Data Architect ...

Data Scientist (AI/ML) - Near Edinburgh Hybrid - 42K plus Bonus Hybrid - 2/3 days in office per week Lorien's longstanding client based near Edinburgh, a leader in their industry with an award-winning product line making a huge difference around the globe, have asked … help them in their search for a Data Scientist with a good grasp of Artificial Intelligence/Machine Learning to form a key part of their already innovative, highly collaborative R&D-style environment. You'll use your talents across everything from delivering well-documented designs and implementations ...

Head of Labs, Data Science, AI, LLMs, SLMs, Agentic AI, Innovation, Data, Remote with Travel Head of Labs, AI & Data Leader required to work for a fast moving and growing organisation based all over the country! This role is mainly remote but there will be some … different to most that you are seeing out there right now. We could go with a pure corporate background, someone who graduated in Computer Science and has had a heavy corporate journey, ready to head into something differentOR, someone who has a whacky technology past, moved into ...

Full-time, permanent Commercial insurance does not need more data. It needs more insight. ABOUT BROKER INSIGHTS Broker Insights is a leading provider of data analytics and market insight for the global commercial insurance industry. Our award-winning platform, Broker Insights VISIONTM, compiles and standardises commercial insurance market data … their contribution to P&L growth, not simply for shipping the work. Problem areas are drawn from across broker and insurer products and the data foundations beneath them, so expect to get up to speed on an unfamiliar area quickly and to hand work back cleanly once ...

hackajob is partnering directly with Leonardo to hire for this role. Job Description: Your Impact As a Data Engineer, you will design, develop, deploy, and maintain data architecture which employs various methods to transform raw data into processed data. You will own the DataOps infrastructure, ensuring … performance, reliability, and scalability of data ingestion and processing pipelines to support evolving business and operational demands. To succeed in this data engineering position, you should have strong problem-solving skills and the ability to combine data from different sources. Data engineer skills also include familiarity ...

rigorously, and make clear recommendations on what to ship, iterate, or retire. Build and maintain LLM-powered features: retrieval pipelines, reranking systems, insight agents, data mining agents, and automated taxonomy generation. Design and run robust evaluation frameworks: build test sets, define metrics, evaluate non-deterministic systems, handle class imbalance … retrieval, evolving from embedding-based approaches toward more advanced methods. Write production-quality code and collaborate closely with Engineering on productionisation, model serving, data pipelines, and monitoring. Work with Product and Commercial teams to translate business needs into practical ML solutions, and support client evaluations and accuracy benchmarking. Mentor ...

International digital transformation consultancy. We deliver multi-Queen’s Award for innovation winning platforms and services that support large-scale digital transformation. Our digital, data and technology solutions are used by globally recognised public and private sector brands operating in a variety of sectors including Civil Defence, Healthcare, Sustainable … components or services, producing and maintaining high-quality documentation. Collaborate with Lead and Principal Engineers, and practitioners from disciplines such as UCD and Data Science, to review and refine designs and translate them into robust implementations. Support delivery planning: Partner with Delivery Managers to plan and structure technical ...

International digital transformation consultancy. We deliver multi-Queen’s Award for innovation winning platforms and services that support large-scale digital transformation. Our digital, data and technology solutions are used by globally recognised public and private sector brands operating in a variety of sectors including Civil Defence, Healthcare, Sustainable … major components or entire services, overseeing architecture, design, development, and continual improvement. Working collaboratively across Software Engineering, User-Centred Design, Delivery Management, and Data Science, you’ll shape enterprise-scale digital solutions, mentor colleagues, and drive innovation within the Engineering discipline. We are technology-agnostic, allowing ...

across engineering teams - documentation, runbooks, and post-mortems. MLOps Support the operationalization of ML models - model versioning, experiment tracking, and deployment workflows. Work with data science teams to configure MLOps tooling such as Vertex AI, MLflow, Kubeflow, or similar platforms. Enable automated model retraining, drift detection, and performance ...

delivery experience in AI governance, model risk, or responsible AI in regulated sectors. - Solid understanding of ML/LLM lifecycle controls: validation, monitoring, explainability, data governance and human oversight. - Experience applying regulatory frameworks and standards to large commercial or public-sector programmes. - Strong stakeholder management with ability to influence … legal, risk, security, data science and engineering leads. - Comfortable operating on hybrid client engagements and delivering to executive audiences. Benefits summary: - Comprehensive benefits package, training budget and certification support. - Hybrid working, career progression on technical track, and access to multidisciplinary teams. - Competitive pension, performance bonus and private healthcare ...

solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven … prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions ...

solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven … prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions ...

solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture … leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities ...

helping them develop robust governance frameworks, policies and operating models. You'll work closely with senior stakeholders across business, legal, compliance, risk, technology, security, data and engineering teams to deliver practical solutions that enable innovation while meeting regulatory and operational requirements. Key Responsibilities as an AI Governance Lead Support … lifecycle governance across model development, validation, deployment, monitoring, explainability, transparency, accountability and human oversight. Advise organisations on the governance implications of Generative AI, including data usage, intellectual property, security, privacy, bias and model risk. Facilitate workshops, governance forums and risk assessments with senior client stakeholders. Develop tailored AI governance ...

Hybrid work and compensation aligned to experience and seniority are offered. The role shapes AI strategy, leads teams and delivers scalable AI products and data-driven applications across complex environments, requiring collaboration with data scientists, MLOps/LLMOps engineers, business stakeholders and senior #J-18808-Ljbffr ...

deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.## **YOUR ROLE**As the digital innovation, design and transformation brand … their businesses. Located in more than 36 offices and 37 creative studios around the world, it comprises a 10,000+ strong team of strategists, data scientists, product and experience designers, brand experts and technologists who develop new digital services, products, experiences and business models for sustainable growth.Business Technology ...