1 to 25 of 29 Remote/Hybrid Use Case Jobs in Central London

with data scientists to productionise models, pipelines, and analytical workflows. Designing data models, pipelines, and query strategies to support performant analytics and reporting use cases. Ensuring data quality, integrity, and observability across systems. Delivery & Engineering Excellence Taking ownership of features from design through to deployment and ongoing iteration. ...

data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within Palantir Foundry, enabling ...

automated, and scalable delivery of data and machine learning pipelines, supporting everything from core reporting and systems integration through to customer-facing AI use cases. You will work closely with Data Engineering, ML Engineering, and Analytics teams, acting as both a hands-on technical leader and strategic enabler. ...

explain technical work clearly to non-technical audiences Desirable Experience with marketing data, digital behavioural data (Adobe Analytics/GA4) and marketing analytics use cases (e.g., segmentation, attribution, propensity modelling) is beneficial but not required Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing technologies ...

using Azure Data Factory, Databricks and SQL Server Develop and support data models, reporting layers and curated datasets for IAM/access related use cases Work with data linked to users, roles, entitlements, access controls, privileged accounts and audit requirements Automate ingestion, transformation and validation of data from ...

Inspire innovative thinking across client teams through persuasive narratives and structured insight. AI & Technology-Enabled Transformation Identify, prioritise, and shape AI and data use cases aligned to commercial outcomes. Translate business needs into structured requirements and collaborate closely with product and data science teams. Lead the deployment ...

advisor to enterprise clients , guiding them on how to apply AI and GenAI effectively Work alongside sales and industry teams to shape AI use cases and solution strategies Design and build prototypes/proofs of concept (POCs) to demonstrate solution value Translate complex technical concepts into clear, business … Generative AI, and model architectures Familiarity with concepts like RAG, fine-tuning, model selection, and performance trade-offs Ability to assess use case viability and business value Cloud & Technology Experience across at least two of: AWS (Bedrock, SageMaker) Azure (Azure ML, Azure OpenAI) GCP (Vertex AI) OpenAI ...

data architecture , including hands-on design and implementation of data warehouses, data marts, and lakehouse platforms to support MI, BI, and AI use cases Proven consulting capability , with strong analytical thinking, problem-solving, and communication skills; able to effectively bridge technical and non-technical stakeholders Engineering-led mindset ...

closely with Product, Engineering, and Data teams to deliver scalable, practical AI-driven capabilities. Key Responsibilities Identify and prioritize impactful AI/GenAI use cases with business leaders Define architectures for AI-enabled solutions across data, applications, and workflows Provide hands-on technical leadership in prototyping, model integration ...

resolve integration and data synchronisation issues between platforms and CRM systems Support the development of scalable data structures and architectures for marketing use cases Integrate and manage multiple data sources, including digital, event, and third-party data Ensure seamless data delivery into analytics and reporting environments Collaborate with ...

executable delivery outcomes Lead product governance: road-map reviews, OKR planning, go-to-market readiness, and executive reporting AI-Native Delivery - Core Expectation Use AI tooling across the full product development life-cycle as standard working practice Structure and write user stories and acceptance criteria optimised for coding … Market Insight Champion the voice of the customer through research, interviews, and behavioural data analysis Develop customer personas, journey maps, and use case documentation Establish and maintain structured feedback loops with customers, prospects, and internal teams Ensure product-market fit across compliance, payments, financial services, and gambling ...

customer-facing digital platforms, Digital Commerce, AI solutions Working with consultants and stakeholders in remote workshops to define and capture business requirements and use cases Conduct client interviews and facilitate workshops to capture functional and non-functional requirements Advise and consult with stakeholders and share best practice across ...

reduce reliance on manual, spreadsheet-based reporting. Ensure dashboards tell a clear, actionable story rather than simply presenting data. AI-Enabled Analytics & Automation Use Python to automate data processing, analysis, and reporting workflows. Contribute to the design and development of AI-assisted analytics solutions, including: Copilot-style … agents to support insight generation, reporting, or operational queries Natural-language interfaces for exploring service data Partner with stakeholders to identify high-value use cases where AI can enhance decision-making or operational efficiency. Continuous Improvement & Decision Support Provide analytical insight to support continuous improvement initiatives across service ...

Microsoft 365 or digital adoption training Hands‐on involvement in Microsoft Copilot adoption programmes Strong understanding of Microsoft 365 Copilot and real‐world use cases Workshop facilitation and confident presentation skills Ability to explain technical or AI‐driven concepts in plain English Experience working in a consultancy ...

decision‐making Documentation & Insights Produce clear, user‐friendly documentation covering: Skills framework structure and end‐to‐end experience Dashboard navigation, filters, and use cases Data interpretation guidance to ensure insights are used responsibly Governance & Risk Management Ensure delivery aligns with HSBC governance frameworks, internal policies, and regulatory requirements ...

through rigorous discovery and solution leadership. Lead detailed discovery engagements to map client workflows, data ecosystems, and decision-making processes, identifying high-value use cases and clear paths to measurable impact. Design and articulate tailored solution architectures that align Engine AI’s Intelligence Engine with defined business outcomes ...

engineering role with real ownership, high visibility, and meaningful impact. 🛠 What You’ll Be Doing Design and deploy agentic AI workflows for enterprise use cases Build and scale systems using LLMs, RAG, and modern AI architectures Work closely with clients (technical + business) to solve real problems ...

highly technical Data, AI & Analytics function responsible for building the data platforms that underpin trading, quantitative research, predictive analytics, and machine-learning use cases. This is a hands-on role with ownership across data ingestion, transformation, storage, and distribution, working closely with Data Scientists, Traders, and technology teams. … have the opportunity to: Build and maintain scalable data pipelines supporting trading and analytics use cases Ingest structured and unstructured data from diverse internal and external sources Support predictive analytics, systematic trading, and machine-learning workloads Partner closely with Data Scientists and Trading teams to deliver high-quality ...

interesting You own the technical side of revenue delivery, not just demos You work on real data problems, not generic use cases You sit at the intersection of Sales, Product, and Data You join a company growing 315% YoY, where this role is mission-critical This ...

both technical and senior commercial stakeholders Platform & Market Expertise Become a trusted subject matter expert in the company’s platform, ecosystem, and customer use cases Stay close to product evolution, market trends, and customer feedback Feed market insight back into the wider business to support growth and product ...

project, hybrid) Collaborate with delivery teams to scope and align engagements Market & Account Growth Develop a strong view on target markets, verticals, and use cases Gather market insights to inform positioning and pricing Represent the business at industry events and build partnerships Grow existing accounts through cross‐sell ...

deal, due diligence, and post‐merger integration phases Partner with investment teams, corporate development, and strategy functions to shape AI‐led M&A use cases Translate complex business and transaction challenges into concrete technical and architectural solutions Forward Deployment & Solution Delivery Lead forward deployment of AI, data … concept through to live production and operational handover AI & Advanced Analytics Apply machine learning, generative AI, and advanced analytics to support M&A use cases such as: Commercial and operational due diligence Synergy identification and value leakage analysis Technology landscape rationalisation Post‐merger performance monitoring and integration tracking ...

both initial land and long-term expansion strategy Why Join Explosive growth with clear category leadership potential Massive TAM ($900B+) with increasing use cases as AI evolves Proven ability to land and expand accounts into multi-8 figure revenue streams Strong inbound demand + significant greenfield opportunity Leadership ...

that directly influence commercial decisions and long-term growth. What You’ll Do as a Data Scientist Take ownership of high-impact growth use cases across marketing, pricing and demand forecasting. Design, build and deploy predictive models and advanced analytics solutions that unlock new revenue opportunities. Work with … optimisation initiatives to improve performance across commercial channels. Champion AI and machine learning innovation, staying ahead of industry best practice. Promote ethical data use, governance and compliance across all analytics initiatives. What You Bring as a Data Scientist Degree in Computer Science, Mathematics, Engineering or a related field. ...

Platform Our products are built on a Semantic AI platform that enables payers and providers to access advanced AI capabilities for their own use cases and applications. Partners can use the platform APIs directly or collaborate with us to develop tailored applications. Primary Care Operations ...