data analytics specialist

<div><div><div>Job ID: R0056420</div>
</div><div><div><div><div><div>Location</div>
<div>London, Middlesex</div>
</div></div></div><div></div><div><div><div><div>Hours/week</div>
<div>37.5 hrs/week</div>
</div></div></div><div></div><div><div><div><div>Payrate range</div>
<div>Unknown</div>
</div></div></div></div><div><div>We don&rsquo;t just believe in better. We make it happen.
Better content. Better products. And better careers.
Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky.
Role overview 
 
We are looking for a highly skilled and motivated Data Scientist to join our team. You will play a crucial part in leveraging machine learning and advanced analytics to drive actionable insights and innovation to combine piracy.
 As a Data Scientist, you will work closely with other data scientists, engineers, and business stakeholders to develop and optimise predictive models, harnessing complex datasets in a cloud-based environment. Your expertise in machine learning, statistical analysis, and AI will help shape data-driven decision-making across the organisation. This is an exciting opportunity to work at the forefront of data science, contributing to cutting-edge projects that have a real impact. 
 
What you&rsquo;ll do
<ul><li>Develops advanced analytics methods such as predictive modelling, time series forecasting, text mining, clustering algorithms etc., using appropriate tools and technologies (Python/R/SAS)
</li><li>Analyses large amounts of information to discover trends and patterns in complex datasets.
</li><li>Designs experiments and build models that can help improve customer experience or optimise operational efficiency.
</li><li>Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions.
</li><li>Creates visualisations of results using Tableau or other software packages.
</li><li>Monitors performance of models over time by tracking key metrics.
</li><li>Present findings in a clear manner using reports or presentations.
</li></ul>What you&rsquo;ll bring
Essential Criteria
<ul><li>Hands on experience in building ML models, preferably NLP and computer vision.
</li></ul><ul><li>Experience in Python, SQL, and common data science libraries (Pandas, Scikit-Learn, TensorFlow etc).
</li></ul><ul><li>Experience with big data pipelines and platforms like BigQuery.
</li></ul><ul><li>Strong statistics, algorithms, and data modelling knowledge.
</li></ul><ul><li>Ability to derive actionable insights from analysis.
</li></ul><ul><li>Excellent communication skills, analytical mindset, ethics and bias awareness.
</li></ul>Benefits and perks 
 
There's one thing people can't stop talking about when it comes to life at Sky: the perks. Here&rsquo;s a taster:
<ul><li>Free Sky TV or NOW package, including Sky Sports and Sky Cinema
</li></ul><ul><li>Pension package with up to 9% employer contribution
</li></ul><ul><li>Private healthcare with mental health support
</li></ul><ul><li>Aviva Digital GP and dental insurance
</li></ul><ul><li>Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect
</li></ul><ul><li>Sharesave and Tech schemes
</li></ul><ul><li>A range of Sky VIP rewards and experiences 
</li></ul>How you&rsquo;ll work
We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. 
Your office base
Osterley 
 
Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there&rsquo;s plenty of space to see your big ideas come to life. Here you&rsquo;ll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon.
Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there&rsquo;s free onsite parking available for cars, motorbikes and bicycles.
Who we are
We&rsquo;re Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you&rsquo;ll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. 
We&rsquo;re an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. 
Just so you know: if your application is successful, we&rsquo;ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position.
To find out more about working with us, search #LifeAtSky on social media.</div></div></div>

Data Scientist (Mid-level)

Capitex

<div>PROGRAMME CONTEXT
Capitex is sourcing specialist resource into the Data workstream of a live Fenergo (Fenx) CLM implementation. The programme is delivering client lifecycle management, KYC/CDD and onboarding capability for a regulated financial institution, with the Data workstream responsible for migrating and validating client, entity and due-diligence data into the Fenergo platform.
This role provides hands-on data depth alongside the configuration and testing workstreams, ensuring migrated data is complete, accurate and fit to drive the configured rules, risk scoring and lifecycle journeys.
ROLE OVERVIEW
The Data Analyst owns source-to-target data mapping, migration and validation activity &mdash; translating legacy and golden-source client/entity data into the Fenergo data model and proving its integrity end-to-end. The role works closely with configuration/BA, testing and client-side data owners to deliver clean, reconciled, audit-ready data.
KEY RESPONSIBILITIES
<ul><li>Define and document source-to-target data mapping from legacy systems and golden sources into the Fenergo CLM / entity data model.</li><li>Author data mapping specifications and transformation rules; maintain mapping documentation as requirements evolve.</li><li>Support and execute data migration (ETL) of client, entity, KYC/CDD and supporting document data into Fenergo.</li><li>Design and run data validation and reconciliation &mdash; pre- and post-migration &mdash; including exception handling and remediation.</li><li>Profile source data quality; identify gaps, duplicates and anomalies and drive resolution with data owners.</li><li>Ensure migrated data correctly supports configured risk rules, scoring and workflow triggers, liaising with the configuration workstream.</li><li>Produce data quality metrics, reconciliation evidence and audit-ready sign-off artefacts for stakeholders.</li></ul>
ESSENTIAL EXPERIENCE
<ul><li>Hands-on data migration / mapping experience on a Fenergo (CLM) implementation.</li><li>Strong source-to-target data mapping and ETL experience on enterprise platform migrations.</li><li>Advanced SQL; confident profiling, validating and reconciling large datasets.</li><li>KYC / CDD / AML data domain knowledge &mdash; client and entity data structures, risk and due-diligence attributes.</li><li>Demonstrable data validation, reconciliation and data-quality discipline on regulated programmes.</li></ul>
DESIRABLE
<ul><li>Banking / Corporate &amp; Institutional Banking or Private/Wealth experience.</li><li>Experience with golden-source / master-data and entity-resolution concepts.</li><li>Oracle / SQL Server, and ETL tooling (e.g. SSIS, DataStage or equivalent).</li><li>SC clearance (or eligibility).</li><li>Exposure to Fenergo rules / event-based messaging and the wider CLM ecosystem.</li></ul>
TOOLS &amp; TECHNICAL ENVIRONMENT
Fenergo CLM, SQL (Oracle / SQL Server), ETL tooling, data profiling and reconciliation tools, JIRA / Confluence; Agile (Scrum / Kanban) delivery environment.</div>

Fenergo CLM Data Analyst / Migration Specialist

Barclays

<div><div>Date live: 29/06/2026
 Business Area: HR
 Area of Expertise: Technology
 Contract: Temp/Contractor Payroll (Fixed Term)
 Reference Code: JR-0000103201</div></div>
 <div>In this role you will take ownership of the Microsoft Viva Insights data environment, ensuring the delivery of accurate, consistent, and high-quality organisational data within a complex enterprise setting. You will manage data cleansing processes, oversee data ingestion through systems such as Microsoft Admin Centre (MAC) and MODIS, and continuously monitor and improve data quality standards. You will maintain field attributes, ensuring clear definitions and metadata governance, while performing core Viva Insights administration activities, including data uploads, validation, organisational hierarchy configuration, and access management. You will ensure that all data is well-structured, trusted, and aligned to governance standards, enabling reliable collaboration insights and reporting for senior leadership and HR analytics teams.
You will design, manage, and optimise end-to-end data pipelines that integrate Viva Insights with employee survey platforms, HR systems, and other enterprise data sources, supporting advanced analytics and strategic programmes. You will collaborate closely with cross-functional teams, including Organisational Effectiveness, Culture &amp; Behaviour, and Data Science, translating business requirements into robust data solutions. You will implement and maintain governance frameworks, ensuring access controls, data security, and compliance with audit requirements. By enabling seamless access to high-quality data, you will support stakeholders in generating meaningful insights that drive organisational effectiveness and informed decision-making.
To be successful as a Viva Insights Administrator and Data Engineer, you should have experience with:
<ul><li>Proven experience in Viva Insights administration</li>
<li>Understanding of the Microsoft 365 Admin Centre</li>
<li>Experience managing large, complex data environments</li>
<li>Data management, cleansing, and governance expertise</li>
<li>Experience with data pipelines and integration across systems</li>
<li>Ability to work with multiple stakeholders across technical and business teams</li>
</ul>Technical Skills
<ul><li>Microsoft Viva Insights platform administration</li>
<li>Microsoft 365 ecosystem (Admin Centre, data flows)</li>
<li>Python, SQL (Hive/Hue) for data manipulation and analysis</li>
<li>Experience with Copilot data management concepts and controls</li>
<li>Data modelling and transformation techniques</li>
</ul>Other desirable skills include:
<ul><li>Experience in HR, People Analytics, or organisational data environments</li>
<li>Familiarity with survey data integration</li>
<li>Experience working in global, matrixed organisations</li>
</ul>You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills
Your role will be located from our Northampton or London office.
Purpose of the role
To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Accountabilities
<ul><li>Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.</li>
<li>Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.</li>
<li>Development of processing and analysis algorithms fit for the intended data complexity and volumes.</li>
<li>Collaboration with data scientist to build and deploy machine learning models.</li>
</ul>Vice President Expectations
<ul><li>To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures..</li>
<li>If managing a team, they define jobs and responsibilities, planning for the department&rsquo;s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..</li>
<li>If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L &ndash; Listen and be authentic, E &ndash; Energise and inspire, A &ndash; Align across the enterprise, D &ndash; Develop others..</li>
<li>OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..</li>
<li>Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.</li>
<li>Manage and mitigate risks through assessment, in support of the control and governance agenda.</li>
<li>Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.</li>
<li>Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.</li>
<li>Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.</li>
<li>Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.</li>
<li>Adopt and include the outcomes of extensive research in problem solving processes.</li>
<li>Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.</li>
</ul>All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship &ndash; our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset &ndash; to Empower, Challenge and Drive &ndash; the operating manual for how we behave.</div>

Viva Insights Administrator and Data Engineer - 12 Months Fixed Term Contract

Capital One

<div>White Collar Factory (95009), United Kingdom, London, London
Data Scientist / Deep Learning Practitioner
Job Title: Data Scientist / Deep Learning Practitioner - Senior Associate/Associate level 
Location: London or Nottingham
Working Pattern: 3 days in-office (Tuesday-Thursday) and 2 days remote.
Our Mission
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.
About the Role
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. 
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.
What you&rsquo;ll do<ul><li>
Develop new deep learning approaches to advance our current underwriting models, which form the heart of our lending business.</li><li>
Apply these to new types of (multi-modal) data in order to stay at the forefront of innovation.</li><li>
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.</li><li>
Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions.</li><li>
Work cross-functionally on projects that support key business initiatives and drive sustainable growth.</li></ul>
The skills and experience you'll need<ul><li>
Experience developing and deploying deep learning models, particularly for sequential data (e.g. time series, language) using techniques such as LSTMs or transformers.</li><li>
Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers.</li><li>
Familiarity with both pre-training and fine-tuning of large-scale models</li><li>
Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques.</li><li>
A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation.</li><li>
Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies.</li><li>
Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form.</li><li>
A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions.</li></ul>
Where and how you'll work
This is a permanent position based in our Nottingham OR London office.
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.
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.
What&rsquo;s in it for you
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.
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:<ul><li>
Wealth &amp; Future: Competitive pension and performance-based bonus schemes</li><li>
Holidays: Start with 25 days of annual leave, increasing with tenure. Need more? You have the option to buy 5 additional days.</li><li>
Health: Access premium care through our private medical insurance.</li><li>
Family Support: We champion your milestones with enhanced parental leave.</li></ul>
A full list of our benefits is available here.
What you should know about how we recruit
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.
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.
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.
Capital One is committed to diversity in the workplace.
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.<div><div><div><div>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
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.
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).</div></div></div></div> 
Who We Are 
 
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. 
 
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

Legal & General

<div>
 
 Legal &amp; General (L&amp;G) is a leading UK financial services group and major global investor.
 
 
 
 
 
 We&rsquo;ve been safeguarding people&rsquo;s financial futures since 1836, and strive to build a better society, while improving the lives of our customers and creating value for shareholders.
 
 
 
 
 
 We are one of the world&rsquo;s largest asset managers and provide powerful asset origination capabilities. Together, these underpin our retirement and protection solutions: we are an international player in pension risk transfer, in UK and US life insurance, and in UK workplace pensions and retirement income.
 
 
 
 
 
 
 Who we are
 
 
 
 
 
 
 Our Retail business supports customers throughout their lives, to help them save, plan, protect and enjoy retirement.
 
 
 
 
 We&rsquo;re a leading provider of retirement and protection solutions. We aim to support our c.12.8 million policyholders and workplace members throughout their lifelong financial journeys.
 
 
 
 
 We focus on helping the customers of today and tomorrow achieve better long-term outcomes. We either talk with them directly or work with intermediaries and employers to meet their needs. We use the latest technology to connect with them quickly, efficiently and wherever possible in highly personalised ways.
 
 
 
 
 
 
 Job Description
 
 
 
 
 We&rsquo;re building a modern, enterprise‑scale data platform that helps our Retail business make smarter, data‑driven decisions every day. Our Data Operations team enables this by designing, running and continuously improving the Retail &amp; Analytics Data Hub (RADH), a strategic data platform at the heart of analytics and reporting.
 
 
 
 
 We&rsquo;re looking for a Platform Specialist to take technical ownership of RADH and help shape its future. This is a great opportunity for someone who enjoys working at the intersection of platform engineering, data architecture and Snowflake innovation, and who wants to influence how data platforms evolve at scale.
 
 
 
 
 
 What you'll be doing:
 
 
 
 
 <ul>
 <li>
 Leading the ongoing development of the Retail &amp; Analytics Data Hub as a strategic enterprise data platform
 </li>
 <li>
 Introducing and optimising Snowflake capabilities to improve performance, scalability and reliability
 </li>
 <li>
 Acting as a Snowflake subject matter expert, shaping best practice across the organisation
 </li>
 <li>
 Improving automation through CI/CD pipelines, infrastructure as code and orchestration frameworks
 </li>
 <li>
 Embedding observability across the platform, including monitoring, alerting, lineage and data quality
 </li>
 <li>
 Implementing and influencing robust governance, security and access controls in partnership with Information Security
 </li>
 <li>
 Collaborating with engineers, analysts and product teams to support platform adoption and delivery
 </li>
 <li>
 Optimising platform costs while maintaining agreed service levels for availability, performance and data quality
 </li>
 </ul>
 
 
 Who we're looking for:
 
 
 
 
 <ul>
 <li>
 Strong experience in data platform or data engineering roles within cloud environments
 </li>
 <li>
 Deep hands‑on knowledge of Snowflake and its core features and capabilities
 </li>
 <li>
 Confidence working with SQL and modern data engineering tooling and patterns
 </li>
 <li>
 Experience designing or supporting enterprise‑scale data platforms and architectures
 </li>
 <li>
 Understanding of data governance, security, access management and compliance
 </li>
 <li>
 Ability to communicate complex technical topics to both technical and non‑technical audiences
 </li>
 <li>
 A collaborative mindset with a desire to support and enable others
 </li>
 <li>
 Curiosity, adaptability and an interest in continuous improvement and emerging technologies
 </li>
 </ul>
 
 
 Whatever your role, we reward performance and behaviour with a package that looks after all the things that are important to you. Here are some of the benefits we offer:
 
 
 
 
 <ul>
 <li>
 The opportunity to participate in our annual, performance -related bonus plan and valuable share schemes
 </li>
 <li>
 Generous pension contribution
 </li>
 <li>
 Life assurance
 </li>
 <li>
 Healthcare Plan (permanent employees only)
 </li>
 <li>
 At least 25 days holiday, plus public holidays, 26 days after 2 years&rsquo; service. There&rsquo;s also the option to buy and sell holiday
 </li>
 <li>
 Competitive family leave
 </li>
 <li>
 Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice (permanent employees only)
 </li>
 <li>
 There are the many discounts we offer &ndash; both for our own products and at a range of high street stores and online
 </li>
 <li>
 We&rsquo;re creating net‑zero carbon workplaces by 2030 by investing in our sustainable, modern offices across the UK, all designed to bring people together and elevate the in‑person experience
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 At L&amp;G, we believe it's possible to generate positive returns today while helping to build a better future for all.
 
 
 
 
 If you join us, you&rsquo;ll be part of a welcoming, inclusive culture, with opportunities to collaborate with people of diverse backgrounds, views, and experiences. Guided by leaders with integrity who care about your future and wellbeing. Empowered through initiatives which support people to develop their careers and excel.
 
 
 
 
 We care passionately about outcomes rather than attendance and are therefore open to discussing all kinds of flexible working options including part-time, term-time and job shares. Although some roles have limited flexibility due to customer demand, we accommodate requests when we can.
 
 
 
 
 It doesn&rsquo;t matter if you don&rsquo;t meet every single criterion in this advert. Instead, think about what you excel at and what else you can bring in terms of strengths, potential and connection to our purpose.
 
</div>

Platform Specialist

International Swaps and Derivatives Association

<div><div>June 30, 2026
Job Title: Assistant Director, Artificial Intelligence
Reports to: Senior Director, Digital Transformation, Analytics
Location: London
</div><div>Job purpose 
This is a hands-on role. The successful candidate will architect and build production AI systems directly, while owning delivery, quality, evaluation, and partner management across the AI Solutions Lab portfolio. The role reports to the Senior Director of Digital Transformation and head of the AI Solutions Lab. 


Duties and responsibilities
<ul>
<li>Deliver the next phase of the ISDA AI Solutions Lab&rsquo;s buildout, helping move current AI initiatives from prototype/MVP stage toward robust, scalable and member-ready delivery. Architect and build the next phase of AI agents, external and internal.</li>
<li>Own the design and delivery of AI solutions that make ISDA standards and digital solutions more accessible, usable and AI-ready for members.</li>
<li>Help shape and scale the ISDA Knowledge Base and Assistant as the governed foundation for AI-enabled access to ISDA standards, taxonomies and related IP.</li>
<li>Oversee enhancement of priority AI capabilities including the CDM Coder, DRR Translator, Tracer, cross-jurisdiction analysis and AI legal opinions initiatives.</li>
<li>Help drive development and rollout of internal AI capabilities and agents aligned with the internal AI deployment roadmap.</li>
<li>Define product requirements, broader Agents orchestration, architecture direction, evaluation harnesses and quality standards and delivery priorities across the AI Solutions Lab portfolio.</li>
<li>Work closely with internal SMEs across CDM, DRR, legal, IT and product teams to ensure solutions are accurate, grounded and useful in real workflows.</li>
<li>Reach out to members for pulse checks and convert member and stakeholder feedback into roadmap decisions, product refinements and delivery choices to maximize adoption.</li>
<li>Help define practical connectivity and delivery models, including MCP servers and packaged AI Skills, so members can consume ISDA AI capabilities safely within their own environments.</li>
<li>Contribute to broader ISDA AI strategy development, including alignment between external member-facing AI solutions and internal AI deployment priorities.</li>
<li>Lead AI quality, guardrails and governance across the Lab&rsquo;s solutions, including evaluation harnesses, groundedness and traceability checks, observability and tracing, confidence frameworks, security and safe use boundaries, both internally and externally.</li>
<li>Own cost aware design of AI workloads, balancing performance and reliability against inference and infrastructure spend.</li>
<li>Manage relevant external partners and specialist vendors, ensuring work is aligned to ISDA&rsquo;s priorities, timelines, architecture and ownership model.</li>
<li>Support the Senior Director including for executive and board reporting by articulating progress, key risks, delivery needs and strategic value in a clear and concise way.</li>
<li>Help build a durable internal AI capability for ISDA that protects ISDA IP, accelerates adoption of ISDA standards and reinforces ISDA&rsquo;s strategic position in the market.</li></ul> 


Relevant Skills / Abilities
<ul>
<li>Strong senior-level experience (at least five years) leading the design and delivery of AI-enabled products or platforms from prototype through controlled rollout and production, with a demonstrable track record of shipping production AI systems that serve real users.</li>
<li>Hands-on engineering ability in Python (and ideally TypeScript/React for front end UI) and Java, and comfortable building production systems directly.</li>
<li>Deep understanding of LLMs, retrieval-augmented generation (including hybrid retrieval across semantic, graph and keyword search, with reranking and embedding-model selection), knowledge bases, knowledge graphs and ontologies, agentic workflows and skills, evaluation methods (eval harnesses, LLM-as-judge, groundedness and faithfulness metrics, tracing), and model risk controls.</li>
<li>Experience building secure, scalable and reliable AI solutions in enterprise environments, including governance, permissions, auditability and data protection including private retrieval architectures and ensuring proprietary data is not exposed to external model providers</li>
<li>Hands-on AWS experience (Bedrock, Neptune, OpenSearch, Lambda) is very important. Strong engineers able to ramp quickly will also be considered. Cost-aware design of inference and infrastructure spend is expected.</li>
<li>Proven ability to translate complex domain knowledge into usable AI products, ideally in financial markets, regulatory technology, legal tech, standards or data-intensive environments; or a demonstrated ability to ramp quickly on a complex domain.</li>
<li>Strong product and solution architecture skills, with the ability to define use cases, prioritize roadmap items and align technical delivery with strategic business outcomes.</li>
<li>Experience overseeing external vendors, technology partners and proof-of-concept work, while retaining internal control of direction, quality and IP.</li>
<li>Ability to work closely with subject matter experts to refine AI tools iteratively and turn specialist feedback into practical product improvements.</li>
<li>Strong grasp of structured data, taxonomies, ontology-style data models and mappings across complex standards or schemas.</li>
<li>Experience with user testing, controlled pilots, adoption planning, training and feedback loops for specialist user populations.</li>
<li>Strong judgment on AI risks, including hallucination, groundedness, security, explainability, confidence scoring and safe deployment boundaries.</li>
<li>Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related discipline, or equivalent practical experience, is desirable.</li>
<li>Excellent communication skills, including the ability to understand member issues, to work across the organization and influence and align stakeholders, and to brief senior management and explain technical issues in concise business language.</li>
<li>Demonstrated ability to operate in a lean, hands-on environment, balancing strategy, execution and stakeholder engagement.</li></ul></div></div>

Assistant Director, Artificial Intelligence, London

Cushman & Wakefield

<div>Job Title
Junior Analytics Engineer
Job Description Summary
Job Description
As a Junior Analytics Engineer within the EMEA Business Intelligence team, you will be an integral part of the Analytics Engineering pillar, contributing to the development and maintenance of the data foundation that powers BI delivery across EMEA. Working closely with senior Analytics Engineers, you will support the design and build of semantic models, curated datasets, and reusable data assets on our central data platform, gaining hands-on experience with enterprise-scale data modelling and platform engineering in a collaborative, high-performing team. You will work in close collaboration with the BI and Data Science &amp; Engineering teams, helping to lay the groundwork for data assets that increasingly support AI and agentic use cases alongside traditional BI delivery. You will start to develop an understanding of the business context behind the data you work with, helping to translate business needs into well-structured data assets and beginning to build the analytics translation skills that connect data and business outcomes. This is a role for someone who is technically curious, eager to learn, and motivated to build a strong foundation in analytics engineering. You will be guided and supported throughout, with clear opportunities to grow your skills, take on increasing responsibility, and develop toward a more senior role within the pillar.
Responsibilities:<ul><li>
Contribute to the design, build, and maintenance of semantic models and curated datasets on our central data platform, working under the guidance of senior Analytics Engineers.</li><li>
Support the standardisation of datasets, business logic, and data models to enable reusability and consistency across BI teams and markets.</li><li>
Assist with onboarding market-specific datasets onto our central data platform, collaborating with local stakeholders to understand data sources and requirements.</li><li>
Work closely with senior team members to ensure data assets meet the requirements of BI products being developed by the BI Development team.</li><li>
Develop a working understanding of the business context behind data requests, supporting senior team members in translating business needs into data structures and logic.</li><li>
Collaborate closely with Data Science &amp; Engineering colleagues, building familiarity with how data assets are used and shared across teams.</li><li>
Contribute to data quality checks and basic performance monitoring of data models and semantic layers, supporting senior team members in identifying improvements.</li><li>
Support early-stage work on building data foundations that can be used for AI and agentic use cases, such as preparing clean, well-structured datasets ready for future AI applications.</li><li>
Maintain clear documentation of data models, datasets, and platform assets, ensuring work is well-described and easy for others to understand and build on.</li><li>
Participate in peer reviews of data models and platform assets, incorporating feedback constructively to develop technical skills and maintain quality standards.</li><li>
Follow established best practices for data modelling, naming conventions, and platform governance, developing familiarity with the team's standards and ways of working.</li><li>
Engage actively in training, bootcamps, and mentoring programmes, taking ownership of personal development and building expertise in the tools and technologies used by the team.</li><li>
Support testing and quality assurance activities across project delivery, helping to ensure data assets and platform changes are reliable before release.</li></ul>
Requirements:<ul><li>
Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Statistics, or a related technical discipline.</li><li>
Some practical experience with data engineering, analytics engineering, or BI development through employment, internships, or academic projects.</li><li>
Foundational understanding of SQL and a willingness to develop proficiency in building and optimising data models.</li><li>
Basic familiarity with data modelling concepts such as star schema or dimensional modelling; formal experience is an advantage but not required.</li><li>
Exposure to enterprise data platforms such as Databricks, Microsoft Fabric, Azure Synapse, or Snowflake is desirable.</li><li>
Awareness of Power BI or other BI tools and an interest in understanding how data assets underpin BI product development.</li><li>
Curiosity about AI, machine learning, and agentic technologies, and how data platforms are structured to support these use cases.</li><li>
An interest in understanding business needs and translating them into data and analytics solutions, with a willingness to develop commercial awareness alongside technical skills.</li><li>
Strong attention to detail and a methodical approach to building, testing, and documenting data assets.</li><li>
A collaborative and proactive mindset, with the eagerness to learn from senior team members and contribute to a high-performing team.</li><li>
Good communication skills, with the ability to ask clear questions and document work clearly.</li><li>
Knowledge of the real estate sector is a plus but not required.</li><li>
Fluent in English; additional European languages are an advantage.</li></ul> 
Cushman &amp; Wakefield is an equal opportunity / affirmative action employer. All qualified candidates will receive consideration for employment without regard to ethnicity, gender, gender identity or expression, sexual orientation, age, disability, religion, marital status, or any other legally protected characteristic. Cushman &amp; Wakefield is committed to equity in employment, and our goal is to have a diverse, inclusive and barrier-free workplace. If you are a person with a disability and need any other accessible accommodations during the hiring process, you are invited to bring this to the Talent Acquisition Advisor&rsquo;s attention once they have made contact. 

INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Junior Analytics Engineer

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