data engineer

data scientist

senior data scientist

senior data engineer

lead data scientist

data development associate

oneglobal

<div><p><b>About Us</b><br>
On a mission to reinvigorate broking. Oneglobal is a commercial insurance and reinsurance broker set up with the singular focus of improving the way in which businesses around the world manage risk via insurance.</p><p>
We think broking needs a refresh, and that our approach builds that foundation. We have ambitious plans for the future and are looking to grow our talented team. If you would like to find out more about Oneglobal, please visit our website or our LinkedIn page.</p><p></p><p><b>
Job Purpose</b><br>
We have an exciting opportunity to join our Data &amp; Development Solutions team. The team sit at the heart of Oneglobal&rsquo;s operational and technological transformation, building and maintaining the internal tools, platforms, automation pipelines, and AI-powered systems that drive efficiency and competitive advantage across the business.</p><p>
As a Data &amp; Development Associate, you will take ownership of day-to-day data operations and platform maintenance. You will work across a broad and varied technology stack, supporting everything from SQL data pipelines and Power Platform solutions to SharePoint environments and internal reporting infrastructure.</p><p>
This role suits a technically capable, self-motivated individual who is comfortable operating with initiative across multiple workstreams in a fast-paced, deadline-driven professional services environment.</p><p></p><p><b>
Key Accountabilities</b><br>
<b>Data Operations &amp; Reporting</b></p><ul><li>Own and maintain daily data management tasks including SQL Server data pipelines, SharePoint sync processes, and internal reporting infrastructure</li><li>Monitor and triage data quality issues, working with colleagues to resolve discrepancies and maintain data integrity</li><li>Support the development and ongoing maintenance of Power BI dashboards and reports</li><li>Manage scheduled data feeds, SQL stored procedures, and automated reporting tasks</li><li>Assist with the management and governance of internal databases and data warehouse environments</li></ul><p><b>
Platform &amp; Application Support</b></p><ul><li>Provide support and maintenance across internal platforms</li><li>Manage updates, bug fixes, and minor enhancements to Power Apps solutions</li><li>Support the administration and content management of SharePoint sites and document libraries</li><li>Assist with Power Automate flow monitoring and troubleshooting</li></ul><p><b>
Automation &amp; Development Support</b></p><ul><li>Support the build and maintenance of Python-based automation scripts and scheduled processes</li><li>Assist with the development and testing of Power Platform solutions including Power Automate flows and Power Apps canvases</li><li>Work with the Microsoft Graph API, SharePoint REST API, and SQL Server connectors as required</li><li>Assist with the integration of third-party APIs and services into internal workflows</li></ul><p><b>
Stakeholder &amp; Project Support</b></p><ul><li>Act as a point of contact for internal queries and support requests via the OneAssist ticketing system</li><li>Assist with project scoping, documentation, and delivery across the team's portfolio of initiatives</li><li>Support marketing and communications teams with data, reporting, and asset production as needed</li><li>Contribute to team documentation, user guides, and knowledge base content</li><li>Participate in cross-functional projects involving Operations, Marketing, Compliance, and broking teams</li><li>Gather, document, and validate requirements from business stakeholders, translating needs into clear briefs for the team</li><li>Support the adoption and embedding of new tools and processes across the business, helping colleagues understand, engage with, and get the most from change</li></ul><p></p><p><b>
Skills &amp; Knowledge</b><br>
<b>Essential</b></p><ul><li>Demonstrable experience working with SQL Server or equivalent relational databases (querying, stored procedures, data management)</li><li>Hands-on experience with the Microsoft Power Platform &mdash; specifically Power Apps and Power Automate</li><li>Working knowledge of SharePoint Online and Microsoft 365 administration</li><li>Strong analytical and problem-solving skills with a methodical, detail-oriented approach</li><li>Ability to manage multiple concurrent workstreams and prioritise effectively in a fast-paced environment</li><li>Clear written and verbal communication skills; comfortable liaising with both technical and non-technical stakeholders</li><li>A solid understanding of data concepts and development practices &mdash; including what tools such as SQL, Python, and automation frameworks do and how they are applied, even if direct hands-on experience varies</li><li>Experience supporting or delivering change in a professional environment &mdash; whether through process improvement, technology adoption, project coordination, or stakeholder management</li></ul><p><b>
Desirable</b></p><ul><li>Experience with Power BI and DAX for report development</li><li>Proficiency in Python for data processing, automation, or scripting</li><li>Familiarity with the Microsoft Graph API or SharePoint REST API</li><li>Exposure to AI tooling, large language model APIs (e.g. Anthropic, OpenAI), or AI-powered automation workflows</li><li>Experience in the Lloyd's of London market, specialty insurance, or professional financial services</li><li>Knowledge of Azure services including Azure Static Web Apps, Azure Functions, or Azure DevOps</li><li>Experience with Git and version control workflows</li><li>Exposure to SendGrid or similar transactional email platforms</li><li>HTML/CSS skills for light front-end work</li></ul><p></p><p><b>
About the team
</b><br>
The Data &amp; Development Solutions team is a two-person function led by the UK Technical Lead. The team is responsible for the full lifecycle of Oneglobal's internal technology and data capability &mdash; from strategy and architecture through to build, deployment, and ongoing support.</p><p></p><p>
The team's portfolio spans internal CRM and pipeline management, AI-powered document generation, intelligence briefing systems, country risk dashboards, and operational support tooling, alongside SQL data infrastructure, Power Platform solutions, SharePoint environments, and contributions to marketing, strategy, and client-facing deliverables.</p><p></p><p>
This Associate hire represents the first expansion of the team and will play an important role in enabling the function to scale its strategic output by taking on responsibility for day-to-day operational tasks.</p><p></p><p><b>
Our goal</b><br>
Our clients are at the forefront of everything we do. As an employee of Oneglobal your contributions matter and drive us towards our ambitious plans for the future. We believe our open working culture will see passionate and enthusiastic people join us to grow the business together and enable us to become an employer of choice.</p><p></p><p><b>
Our commitment
</b><br>
Oneglobal is committed to being an equal opportunities employer, ensuring that all employees, prospective employees and clients are treated fairly and with respect and integrity. Please let us know if you require any reasonable adjustments at any point in the application or interview process.</p></div><p></p>

Data & Development Associate

Novo Nordisk, Inc.

<div><div><div><div><div><p>Associate Director, AI Products Engineering, London
</p></div></div></div></div><div><div><div><div><b>Category: </b>Data &amp; AI
</div></div></div></div><div><div><div><div><b>Location:
</b>London, London, GB<br>
</div></div></div></div><div></div><div><div><div><div><div><div><div>Are you passionate about machine learning, AI, and data sciences? The Data &amp; AI Engineering function is a global organisation within R&amp;D Business Unit at Novo Nordisk, shaping the data foundations and intelligent infrastructure, and next-generation agentic solutions across the organization. Together we can create life-changing innovations for patients.</div></div><div><br>
<div>
</div></div><div><div><b>The Position</b></div>
</div>
<div><div>As Associate Director, you will provide strategic engineering leadership for the development of scalable and robust AI products, including agentic applications for content authoring, knowledge management, and compliance automation. You will lead a portfolio spanning early research, pre-clinical, and clinical development, ensuring agentic AI initiatives progress from proof-of-value to production. The role is accountable for establishing the data foundations and agentic AI infrastructure that support Novo Nordisk's R&amp;D AI ambitions, while driving business impact through the orchestration of complex cross-functional initiatives and stakeholder collaborations in a quality- and governance-focused environment.</div></div><div><br>
<div>
</div></div><div><div><b>Furthermore, you will be responsible for:</b></div>
</div>
<div><ul><li><div>Defining and driving the AI product infrastructure strategy for R&amp;D, enabling an integrated ecosystem of Agentic AI solutions</div>
</li>
</ul></div><div><ul><li><div>Ensure robust and scalable delivery of AI capabilities (data foundations, infrastructure, MLOps), with a strong focus on quality, traceability, risk management, and governance readiness. Transforming scientific and operational data into trusted, scalable AI solutions that accelerate innovation, improve efficiency, and support better business outcomes across R&amp;D.</div>
</li>
</ul></div><div><ul><li><div>Developing and executing short- and long-term strategies for AI engineering and AI data foundations, aligning R&amp;D and Enterprise AI priorities through internal partnerships and external collaborations.</div>
</li>
</ul></div><div><ul><li><div>Driving cross-functional initiatives and influence senior stakeholders to remove complexity, accelerate AI adoption, and enable sustainable AI-driven transformation across the organization.</div>
</li>
</ul></div><div><ul><li><div>Leading the delivery of technology innovation across a complex stakeholder landscape and scientific environment, balancing evolving business priorities while identifying the highest-impact opportunities for AI deployment.</div></li></ul><br>
</div>
<div></div><div><div><b>Qualifications</b></div>
</div>
<div><div><b>To thrive and succeed, we expect you to have:</b></div>
</div>
<div><ul><li><div>Degree in Computer Science, Bioinformatics, Information Technology, Engineering, or a related field.</div>
</li>
</ul></div><div><ul><li><div>Strong background in Artificial Intelligence, Machine Learning, Data Science, or Product Development with a strong focus on product engineering. Solid understanding of AI engineering, data foundations, cloud technologies, and scalable AI solution development.</div>
</li>
</ul></div><div><ul><li><div>Proven experience leading teams or working in a strategic consulting capacity, with a track record of delivering complex AI and Machine Learning initiatives across data engineering, AI/ML research, and IT platforms.</div>
</li>
</ul></div><div><ul><li><div>Experience engaging with senior business stakeholders and translating business needs into technology and AI strategies. Strong stakeholder management, communication, and influencing skills across complex organizational environments.</div>
</li>
</ul></div></div><div><div><ul><li><div>Ability to represent the organization in collaboration with external technology partners and AI providers within areas such as Agentic AI, AI engineering, and data platforms.</div>
</li>
</ul></div><div><ul><li><div>A curious, collaborative, and visible leadership style, with a passion for innovation and continuous learning.</div></li></ul><br>
</div>
<div></div><div><div><b>About the Department</b></div>
</div>
<div><div>You will join a recently established AI Product Engineering team focused on enabling the next generation of AI solutions across R&amp;D. Working closely with Data Science and AI stakeholders across multiple global locations, the team is developing advanced Agentic AI capabilities in areas such as Gen AI-driven content authoring, research assistance agents, knowledge management agents, and compliance automation through AI.</div>
</div>
<div><div>The team plays a key role in shaping scalable AI platforms, engineering standards, and technology foundations that support the sustainable development of AI solutions across a complex and evolving data landscape.</div></div><div><br>
<div>
</div></div><div><div><b>Working at Novo Nordisk</b></div>
</div>
<div><div>At Novo Nordisk, we don't wait for change. We drive it. We're a dynamic company in an even more dynamic industry, and we know that what got us to where we are today is not necessarily what will make us successful in the future. We embrace the spirit of experimentation, striving for excellence without fixating perfection. We never shy away from opportunities to develop, we seize them. From research and development, through manufacturing, marketing, and sales &ndash; we're all working to move the needle on patient care.</div></div><div><br>
<div>
</div></div><div><div><b>What we offer</b></div>
<div>
At Novo Nordisk, you&rsquo;ll join a global healthcare company with a unique culture and strong results. We offer continuous learning, career development, and benefits tailored to your life and career stage.</div>
<div><b>
Salary:</b><b> </b>For this role, the Annual Base Salary ranges from 87,680.00 to 137,660.00 GBP, corresponding to the level of the position.</div>
<div>
The placement within the salary range will be assessed during the recruitment process based on the candidate&rsquo;s skills, competencies, knowledge, and relevant experience.</div>
<div><b>
Incentives and Benefits: </b>The salary package may include short-term and/or long-term incentives as well as other employee benefits based on position level, location, functional area and relevant market benchmarks.</div>
<div>
Learn more about our Reward Philosophy here.</div></div><div><br>
<div>
</div></div></div><div><div><b>Deadline</b></div>
</div>
<div><div><b>17th July 2026</b></div>
</div><div>
We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.</div><br>
<div></div>
<div>
At Novo Nordisk, we're not chasing quick fixes &ndash; we're creating lasting change for long-term health. For over 100 years, we've been driven by a single purpose: to defeat serious chronic diseases and help millions of people live healthier lives. This dedication fuels our constant curiosity and inspires us to push the boundaries of what's possible in healthcare. We embrace diverse perspectives, seek out bold ideas, and build partnerships rooted in shared purpose. Together, we're making healthcare more accessible, treating and preventing diseases, and pioneering solutions that create change spanning generations. When you join us, you become part of something bigger &ndash; a legacy of impact that reaches far beyond today.</div></div></div></div></div></div>

Associate Director, AI Products Engineering, London

Deloitte

<div><div><div><div><h3 class="jobSectionHeader"><b>Basic information
</b></h3></div></div><div><div><div><div>Location
</div><div>London
</div></div><div><div>Business Line
</div><div>Tax &amp; Legal
</div></div><div><div>Job Type
</div><div>Contract
</div></div><div><div>Date published
</div><div>29-Jun-2026
</div></div><div><div>Req #
</div><div>23837
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Job description
</b></h3></div></div><div></div><div><div><div><div><p><b>Job Title:</b> AI Data Engineer (Azure)</p><p><b>
Location: </b>London Hybrid. Travel to the London office 2 days a week</p><p><b>
Duration: </b>6 months</p><p><b>
Contract Start Date:</b> ASAP</p><p><b>
Day rate:</b> Competitive (Inside IR35)</p><p></p><p><b><br>
Deloitte</b></p><p>
Working with the Deloitte Associate (Contractor) Programme means we can offer you the opportunity to work on a variation of industry and client related projects. Our aim is to retain the best talent and so when your project end date nears our team of Talent Community Advisors will be working with you to look at alternative projects within the firm that suit your experience should you wish to continue with Deloitte.</p><p></p><p><b><br>
The Role</b></p><p>
We are looking for a highly skilled <b>AI Data Engineer </b>(Contractor) specialising in <b>Azure </b>to join our Digital Innovation team, supporting cutting-edge data and analytics use cases across Tax &amp; Legal. This role is ideal for someone who combines <b>strong </b><b>AI/GenAI data pipeline</b><b> </b>expertise with <b>hands-on Azure, data discovery and analysis. </b>You will be comfortable working with unstructured data and modern Azure-native architectures. You will play a key role in transforming complex datasets into meaningful insights, working closely with Tax domain specialists to understand requirements, shape solutions, and clearly present outputs that drive business value. We're looking for a strong communicator with problem solving skills who can bridge technical data engineering and business understanding. A proactive, delivery-focused engineers who is comfortable working at pace.</p><p></p><p><b><br>
Deliverables: Responsibilities but not limited to:</b></p><b>
1. Data Engineering &amp; Azure Platform Delivery</b><br>
<ul><li><ul><li>
Design and build end-to-end data pipelines using Azure (ADF, Synapse, Fabric)</li><li>
Develop scalable frameworks for ingesting structured, semi-structured, and unstructured data</li><li>
Implement modern architectures (e.g. Lakehouse, medallion &ndash; bronze/silver/gold)</li><li>
Build and optimise storage solutions across ADLS Gen2, Cosmos DB, and Azure SQL/Synapse</li><li>
Deliver scalable, maintainable, production-ready solutions</li></ul></li></ul><b>
2. Unstructured Data &amp; NoSQL Engineering</b><ul><li><ul><li>
Design pipelines to process, transform, and enrich unstructured data.</li><li>
Leverage Cosmos DB for high-throughput, low-latency, schema-flexible workloads</li><li>
Optimise partitioning, indexing, and query performance</li><li>
Enable downstream analytics and AI use cases (e.g. reporting, search, RAG)</li></ul></li></ul><b>
3. Data Discovery, Analysis &amp; Business Engagement</b><ul><li><ul><li>
Conduct data discovery, profiling, and exploratory analysis</li><li>
Collaborate with Tax &amp; Legal stakeholders to translate business needs into data solutions</li><li>
Identify trends, anomalies, and data quality issues</li><li>
Present insights clearly to non-technical and senior stakeholders</li><li>
Support development of curated datasets and semantic layers</li></ul></li></ul>
4. <b>Collaboration &amp; Delivery</b><ul><li><ul><li>
Work with data scientists, AI engineers, architects, and domain specialists</li><li>
Enable data consumption via reporting tools, APIs, and data services</li><li>
Contribute to best practices in governance, lineage, and data cataloguing</li><li>
Deliver high-quality solutions in agile environments</li></ul></li></ul><p></p><p><b><br>
Essential Skills and Experience</b></p><ul><li><ul><li>
Proven experience as an <b>Azure Data Engineer </b>in end-to-end data platforms</li><li>
Exposure to <b>AI/GenAI data pipelines </b>(e.g. RAG, embeddings, search)</li><li>
Knowledge of <b>Azure AI Search</b> or vector-based retrieval systems</li><li>
Strong <b>hands-on</b> experience with:</li><li><ul><li><ul><li>
Azure Data Factory / Synapse / Microsoft Fabric</li><li>
Azure Data Lake Storage (ADLS Gen2)</li><li>
Azure Cosmos DB (Core/SQL API, NoSQL modelling)</li></ul></li></ul></li><li>
Experience working extensively with unstructured and semi-structured data</li><li>
Proficiency in <b>Python</b> and <b>SQL</b></li><li>
Demonstrated experience in:</li><li><ul><li><ul><li>
Data discovery, profiling, and exploratory analysis</li><li>
Data transformation and data quality frameworks</li></ul></li></ul></li><li>
Strong understanding of:</li><li><ul><li><ul><li>
NoSQL vs relational data modelling</li><li>
Data partitioning and performance tuning</li></ul></li></ul></li><li>
Experience building scalable, production-grade data pipelines</li><li>
Familiarity with CI/CD and DevOps practices in Azure</li></ul></li></ul><p></p><p><b><br>
Desirable:</b></p><ul><li><ul><li>
Azure Data Engineering Associate certification (DP-203) or equivalent</li><li>
Experience with Microsoft Fabric and Lakehouse architectures</li><li>
Experience integrating Cosmos DB with analytical platforms</li><li>
Familiarity with data governance frameworks</li></ul></li></ul><p></p><p><b><br>
IR35</b></p><p>
As a means of managing tax, commercial and reputational risks, Deloitte prohibits the use of Associates through Personal Service Companies (&lsquo;PSCs&rsquo;). All Associates must contract under PAYE arrangements through a Deloitte approved &lsquo;Employment Company&rsquo; (aka &lsquo;umbrella company.&rsquo;)</p></div></div></div></div></div></div><div></div>

Contract - AI Data Engineer (Azure)

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<div><p><b>Client360 &ndash; Senior Associate
</b></p><p>You enjoy shaping the future of product innovation, driving value for customers, guiding successful launches, and exceeding expectations. Join our dynamic team and make a meaningful impact by delivering high-quality products that resonate with clients. We foster a collaborative environment where your ideas drive progress, and your growth is our priority. As part of Client360, you'll help unify client data and deliver enterprise-wide insights, supporting business transformation and operational excellence.</p><p>
As a Product <b>Senior Associate</b> in Data, Digital &amp; AI, you will help translate business needs into well-defined delivery artifacts and coordinate cross-functional execution across product, technology, operations, and business stakeholders. You will contribute to scalable, resilient, and stable product capabilities by driving disciplined requirements, backlog hygiene, end-to-end testing coordination, and operational readiness practices. This role is hands-on and execution-oriented, designed for a strong operator who can move work forward in a highly matrixed environment.</p><p>
Operating within Client360, you support the delivery of priority initiatives that improve operational effectiveness and business adoption. You partner with product, technology, and business leaders to implement data- and AI-enabled commercial solutions for executives, team leads, and frontline bankers. Your work helps define the business experience, focusing on process optimization, data-driven insights, and stakeholder satisfaction.</p><p>
</p><p><b>Job Responsibilities</b></p><ul><li>
Partner closely with Product Owners to support discovery and delivery by converting stakeholder needs into clear, actionable requirements that enable development teams to execute efficiently</li><li>
Own, maintain, and develop a product backlog that enables development to support the overall strategic roadmap and value proposition.</li><li>
Support building the framework and track the product's key success metrics such as cost, feature and functionality, risk posture, and reliability.</li><li>
Participate in planning, execution, risk management, and delivery of business programs focused on process improvement and operational efficiency.</li><li>
Collaborate with engineering, operations, and business teams to maintain and enhance processes and platforms.</li><li>
Assist in establishing and monitoring key performance indicators to ensure measurable business value.</li><li>
Leverage analytics, including machine learning and AI, to derive actionable business insights.</li><li><p>
Understand internal team needs and anticipate future requirements, collaborating across Markets, Payments, Global Banking, and Private Bank..</p><p>
</p></li></ul></div><p></p><p><b>Reuired qualifications, capabilities and skills</b></p><ul><li>
5+ years of experience or equivalent expertise delivering business initiatives, projects, or transformation programs.</li><li>
Ability to deal with different stakeholder groups to elicit business requirements, processes and data trends.</li><li>
Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management.</li><li>
Strong knowledge of business process improvement, strategic planning, and data analytics.</li><li>
Excellent oral and written communication and presentations skills across various stakeholders and senior management; ability to synthesize large amounts of information, summarize key concepts and articulate relevant issues.</li><li>
Highly collaborative, detail-oriented, and proactive; capable of managing multiple workstreams under tight deadlines while maintaining quality and follow-through with minimal oversight.</li><li>
Experience supporting change and managing stakeholders across multiple functions.</li><li>
Track record of contributing to large-scale business integration and analytics projects.</li><li>
Understanding of business integration techniques, data governance, regulatory compliance, and operational risk management.</li><li>
Customer-centric mindset with ability to prioritize and deliver stakeholder needs.</li><li>
Experience working with cross-functional teams to drive business innovation.</li><li>
Excellent problem-solving skills and strategic thinking.</li><li>
Strong communication and interpersonal skills, able to present complex concepts to technical and non-technical audiences.</li><li>
Experience with emerging technologies and best practices in business analytics and CRM.</li></ul><p>
</p><p><b>Preferred qualifications, capabilities, and skills</b></p><div><ul><li>
Demonstrated prior experience working in a highly matrixed, complex organization.</li><li>
Experience in business process management, CRM systems, or related fields within a financial institution.</li><li>
Bachelor's degree in Business, Data Science, or a related field; advanced degree preferred.</li><li>
Experience in ensuring customers and stakeholders are engaged and positive about delivered initiatives</li></ul></div>
<b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Senior Product Associate -Data, Digital & AI

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Who You Will Be Working With</b></h2><br>
</div><p></p><div><p>You will be part of the Data Platforms team within the Insights and Data Global Practice, which has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is home to API Engineers, Data Engineers, Platform Engineers, Solutions Architects and Business Analysts focused on driving our customersdigital and data transformation using modern cloud platforms. We specialise in the latest frameworks, reference architectures and technologies across AWS, Azure and GCP, including API/microservices patterns and data platforms such as AWS-native analytics services and Snowflake.</p><br>
<p><br>
As an AWS API Engineer / Data Architect at Capgemini, you will design and deliver secure, scalable API and microservices architectures across multiple client applications and services. You will define integration patterns and standards, shape data and document-store designs, and take ownership from solution design through build, deployment and production support, ensuring services are observable, reliable and cost-effective on AWS.<br>
</p><p><br>
You will design and deliver secure, scalable, well-integrated APIs and microservices across multiple client applications and services, supporting system and data integration across distributed environments.<br>
</p><p></p><p><b>Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance.</b></p><br>
<p><br>
To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.
</p><p>Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality.
<br>
Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>The Focus of Your Role</b></h2><br>
</div><p></p><div><p>You will be an integral part of teams delivering modern digital services on AWS, with primary responsibility for API and microservices architecture and system integration. You will design RESTful APIs and service boundaries, define integration standards, and collaborate with product, delivery and cybersecurity stakeholders to ensure secure access patterns, strong observability, and smooth deployments and cutovers. Where required, you will also contribute to data architecture decisions (e.g., PostgreSQL and document stores) to enable robust end-to-end solutions.
<br>
Key responsibilities (API &amp; data architecture):</p>
<ul><li>Design and implement serverless and microservices-based API architectures on AWS (e.g., Lambda, API Gateway) aligned to product roadmaps.</li>
<li>Define and apply RESTful API design patterns and integration standards; support API lifecycle management, documentation and versioning.</li>
<li>Support system and data integration across distributed services, including event-driven patterns where appropriate.</li>
<li>Assess and address technical debt, recommending pragmatic modernisation approaches.</li>
<li>Support deployment planning, cutover activities and post-go-live stabilisation.</li>
<li>Contribute to document store and data architecture design (e.g., PostgreSQL and document stores) and collaboration with data engineering teams.</li>
<li>Collaborate with cybersecurity and delivery teams to ensure secure, observable solutions (logging, monitoring, audit)</li>
<li>Integrate applications with identity providers and enforce secure access patterns (e.g., IAM, token-based authentication).</li><br>
</ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>What You'll Bring</b></h2><br>
</div><p></p><div><p>You will bring strong, hands-on experience delivering API and integration solutions within complex environments, with an understanding of regulatory obligations and the need for trusted, mission-critical services. You will be able to design secure, scalable and well-governed RESTful APIs and microservices on AWS, applying consistent standards for identity, access control, observability, auditability and operational resilience. You will be comfortable collaborating with stakeholders to translate outcomes into pragmatic architectures and delivery plans, and you will bring strong engineering discipline, documentation and teamwork skills to help teams deliver sustainable capabilities end-to-end.
<br>
Required skills &amp; experience (API &amp; architecture):</p>
<ul><li>Strong experience designing and building APIs and microservices architectures.</li>
<li>Hands-on experience with AWS serverless technologies (e.g., AWS Lambda, Amazon API Gateway).</li>
<li>Solid understanding of RESTful APIs, integration patterns and distributed systems; exposure to GraphQL is a plus.</li>
<li>Experience working across the full delivery lifecycle, from design through deployment and production support.</li>
<li>Ability to communicate architecture decisions clearly to technical and non-technical stakeholders.</li><br>
</ul><p><br>
<b>Experience:</b>
</p><ul><li>Minimum 5+ years of experience as an AWS API Engineer / Data Architect, designing and delivering APIs and microservices in production environments.</li>
<li>Strong expertise in AWS services used for API and platform delivery (e.g., Amazon API Gateway, AWS Lambda, IAM, VPC, Route 53, ECR) and experience applying security and networking fundamentals.</li>
<li>Experience with deployment and operations practices (CI/CD, release planning, cutover, post-go-live stabilisation) and observability tooling (e.g., CloudWatch and/or ELK, Prometheus, Grafana).</li>
<li>Proficiency in at least one backend language (e.g., Python) with strong software engineering practices (Git, code review, unit testing, CI/CD) and an ability to troubleshoot production issues.</li>
<li>A continuous learning mindset, ideally with progress toward AWS certification (e.g., AWS Certified Developer Associate or AWS Certified Solutions Architect Associate) or equivalent experience.</li>
<li>Relevant certifications (desirable): AWS Certified Developer Associate, AWS Certified Solutions Architect Associate/Professional, and/or AWS Certified Security Specialty.</li><br>
</ul><p><br>
<b>Technologies you may work with:</b><br>
</p><p></p><ul><li>Amazon Web Services (AWS): Lambda, API Gateway, Aurora RDS, EC2, Route 53, ECR, STS, VPC, S3.</li>
<li>API, Integration &amp; Security: RESTful APIs, Apollo GraphQL; AWS IAM, token-based authentication, external identity providers.</li>
<li>Data &amp; Messaging: PostgreSQL, Apache Kafka, document stores.</li>
<li>Engineering &amp; Operations: CI/CD pipelines; ELK stack; Prometheus, Grafana.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Additional Info</b></h2><br>
</div><p></p><div><p><b>Hybrid working</b>: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.</p>
<p>If you are successfully offered this position, you will go through a series of pre-employment checks, including identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service)</p><br>
<p></p><p><b>What we&rsquo;ll offer you</b></p><br>
<p></p><p>You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.</p>
<p>You will be empowered to explore, innovate, and progress. You will benefit from Capgemini&rsquo;s &lsquo;learning for life&rsquo; mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more.</p><br>
<p><br>
<b>Why we&rsquo;re different</b><br>
</p><p></p><p>At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that&rsquo;s as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too.
<br>
<br>
Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.</p></div></div></div></div></div></div></div>

AWS API Engineer / Data Architect

Capital One

<div>White Collar Factory (95009), United Kingdom, London, London<p></p>
Data Scientist / Deep Learning Practitioner<p></p><p><b>
Job Title: </b>Data Scientist / Deep Learning Practitioner - Senior Associate/Associate level</p><p><b><br>
Location:</b><b> </b>London or Nottingham</p><p></p><p><b>
Working Pattern:</b><b> </b>3 days in-office (Tuesday-Thursday) and 2 days remote.</p><p></p><p><b>
Our Mission</b></p><p></p><p>
We&rsquo;re on a mission to be a force for good in lending. Throughout our almost 30-year history, we&rsquo;ve consistently been recognised as a great place to work; in 2026, Capital One was officially ranked 9th in the UK&rsquo;s Best Workplaces&trade; list. Hear from our team about what it&rsquo;s like working at Capital One UK.</p><p></p><p><b>
About the Role</b></p><p>
Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners.<br>
This role will primarily focus on developing proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using Large Language Models.</p><p></p><p><b>
What you&rsquo;ll do</b></p><ul><li><p>
Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business.</p></li><li><p>
Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation.</p></li><li><p>
Provide consultancy to our tech and product partners, to help design, develop and launch products powered by Large Language Models (LLMs). This collaboration will help provide seamless experiences for our customers and associates.</p></li><li><p>
Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions.</p></li><li><p>
Work cross-functionally on projects that support key business initiatives and drive sustainable growth.</p></li></ul><p></p><p><b>
The skills and experience you'll need</b></p><ul><li><p>
Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers.</p></li><li><p>
Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.</p></li><li><p>
Familiarity with both pre-training and fine-tuning of large-scale models</p></li><li><p>
Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques.</p></li><li><p>
A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation.</p></li><li><p>
Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies.</p></li><li><p>
Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form.</p></li><li><p>
A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions.</p></li></ul><p></p><p><b>
Where and how you'll work</b></p><p>
This is a permanent position based in our Nottingham OR London office.</p><p>
We embrace a hybrid approach to work. You'll spend three days a week in the office (Tuesday-Thursday), with Monday and Friday being dedicated work-from-home days.</p><p>
Our offices are designed to inspire and support you. At our Nottingham head office, you'll find an on-site gym, restaurant and dedicated Learning Loft. Our London office boasts a rooftop running track and coffee bar.</p><p></p><p><b>
What&rsquo;s in it for you</b></p><p>
We invest in the growth of our people alongside our business. You will have extensive opportunities to learn and develop your career, including access to up to &pound;5,000 in funding for external qualifications.</p><p>
In addition to career development, our comprehensive benefits package is designed to grow with you, ensuring your wellbeing is prioritised at every stage of your career:</p><ul><li><p>
Wealth &amp; Future: Competitive pension and performance-based bonus schemes</p></li><li><p>
Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days.</p></li><li><p>
Health: Access premium care through our private medical insurance.</p></li><li><p>
Family Support: We champion your milestones with enhanced parental leave.</p></li></ul><p></p><p>
A full list of our benefits is available here.</p><p></p><p><b>
What you should know about how we recruit</b></p><p>
We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it&rsquo;s about what you do, not just what you say. That&rsquo;s why we make our recruitment process fair and accessible.</p><p>
We value diversity, inclusion and belonging at our core. We empower our associates to do great work by creating an inclusive culture&mdash;one that values diverse perspectives, fosters collaboration and encourages innovative ideas&mdash;and a place where associates of all backgrounds can thrive by bringing their most authentic selves to work. We call this our Culture of Belonging, and it rests at the heart of our business.</p><p>
Our associate-led Business Resource Groups were created to help support our diverse population and include over 10 groups across our offices. Because each Business Resource Group is as unique as the population it serves, they offer a range of activities, networking opportunities, special events and learning programmes to associates.</p><p></p>
Capital One is committed to diversity in the workplace.<p></p><p>
If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment.</p><p></p><div><div><div><div><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p></p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p></p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div></div></div></div><b><br>
Who We Are</b><br>
<br>
At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.<br>
<br>
Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.</div>

Data Scientist / Deep Learning Practitioner

<div><h4 class="jobSectionHeader"><b>Key points</b></h4><p><b>
Contract:</b> Full time, permanent contract (hybrid working)<br>
<b>Team:</b> Knowledge Management<br>
<b>Reports To:</b> Associate Knowledge Management</p><h4 class="jobSectionHeader"><b><br>
Overview</b></h4><p>
ZHA is evolving its data capabilities to support world‑leading design, project delivery and decision‑making. We are seeking an Analytics Engineer to help advance the practice&rsquo;s data ecosystem by transforming raw information into well‑modelled, actionable datasets that empower our teams to explore, analyse and innovate.<br>
Working at the intersection of data engineering and analytics, you will develop the pipelines, transformations and models that underpin our modern lakehouse platform; enabling advanced reporting, data visualisation, digital tools and emerging AI workflows. You will collaborate with teams across the business, helping to make their data more accessible, reliable and impactful.<br>
This role is an opportunity to help define how a leading practice leverages data: creating clarity, consistency and confidence in the information that drives both our creative and operational excellence.</p><h4 class="jobSectionHeader"><b><br>
Main responsibilities</b></h4><p></p><ul><li>
Develop and maintain scalable ELT/ETL pipelines in Azure Data Factory and Databricks, supporting both existing and new data sources.</li><li>
Build, refine and optimise transformation logic using Databricks notebooks, Python, SQL and Spark.</li><li>
Model data across Bronze, Silver and Gold layers to ensure structure, consistency and clarity.</li><li>
Collaborate with colleagues across architecture, finance, operations, and technology to understand data needs and translate them into well-designed models and solutions.</li><li>
Ensure data quality through validation, testing and clear documentation.</li><li>
Implement data governance controls and access policies with Unity Catalog.</li><li>
Support business-critical system transformations by managing data migrations and ensuring data quality and continuity.</li><li>
Champion best practices in data engineering, analytics, version control and development workflows.</li></ul><p></p><h4 class="jobSectionHeader"><b>
Your profile</b></h4><p></p><ul><li>
You are passionate about data and analytics, with a drive to solve real business problems with data.</li><li>
You are proactive, detail-oriented and committed to continuous improvement and learning.</li><li>
You enjoy solving complex business challenges with data and are comfortable with ambiguity and change.</li><li>
You value clear documentation, knowledge sharing and collaboration.</li></ul>
You can communicate complex technical concepts in a way that is accessible and relevant to business stakeholders.<p></p><h4 class="jobSectionHeader"><b><br>
Skills Required</b></h4><p></p><ul><li>
Bachelor&rsquo;s Degree in Computer Science, Data Engineering, Information Systems or related STEM field.</li><li>
Minimum 2+ years&rsquo; experience in analytics engineering, data engineering or data platform development.</li><li>
Experience with Azure, Microsoft 365, Power Platform and Microsoft Graph API.</li><li>
Exposure to AI/ML workflows and understanding of data requirements for model training and deployment.</li><li>
Familiarity with Architectural, Design or Creative industries is a plus.</li></ul><p></p><h4 class="jobSectionHeader"><b>
About us</b></h4><p>
ZHA redefined architecture for the 21st century with a repertoire of projects that have captured imaginations across the globe. Creating buildings uniquely tailored to the communities they serve, ZHA has been awarded the highest honours from professional and academic institutions worldwide. Founded by Dame Zaha, ZHA is one of the world&rsquo;s most innovative architectural studios&mdash;and has been for almost 50 years. These five decades of detailed research are inscribed within ZHA&rsquo;s buildings which become more spatially inventive, more structurally efficient, more technologically advanced, and more environmentally considerate with each new design. ZHA&rsquo;s 500 staff in five offices worldwide are currently developing projects in 34 countries across six continents&mdash;combining pioneering design solutions with ecologically sound materials and sustainable construction practices to meet the aspirations of each new generation.</p></div>

Analytics Engineer (Mid-level)

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