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C3 AI

<div>
 C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at:
 
 C3 AI
 
 
 
 As a member of the
 
 C3 AI Data Science team
 
 , you will work with some of the largest companies on the planet helping them build the next generation of AI-powered enterprise applications on the C3 AI Platform (c3.ai/customers/). You will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning algorithms to answer those questions and implement those on the C3 AI Platform so they can run at scale.
 
 
 Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at large-scale.
 
 
 This is a frontline role on some of the most consequential AI programmes in UK and European defence today. You will help design and deploy AI that keeps aircraft and platforms mission-ready through predictive maintenance, that sharpens decision-making through Digital Targeting, and that sustains operations through logistics in contested and degraded environments. These are live programmes with real operational stakes, delivered into demanding, secure settings across the UK MOD, NATO, and allied European partners.
 
 
 Some travel to customer and partner locations should be expected.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead the research, design, implementation, and deployment of machine learning algorithms, intelligent agents, and optimisation solutions for enterprise applications leveraging the C3 AI Suite.
 </li>
 <li>
 Assist and enable C3 AI's customers to build their own applications on the C3 AI Suite.
 </li>
 <li>
 Contribute to the design and implementation of new features of the C3 AI Suite.
 </li>
 <li>
 Analyse model performance across asset fleets, diagnose issues such as low risk scores or false positives, and recommend hyperparameter adjustments.
 </li>
 <li>
 Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements.
 
 
 </li>
 </ul>
 
 This role supports defence programmes that require UK Security Clearance. Candidates must hold, or be able to obtain and maintain, [SC / NATO] clearance. Eligibility is set by the contracting authority and typically requires a minimum of five years&rsquo; continuous UK residence.
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
 </li>
 <li>
 Applied AI experience (generative AI, agentic solutions, regression and classification, supervised, and unsupervised learning).
 </li>
 <li>
 Strong mathematical background (linear algebra, calculus, probability and statistics).
 </li>
 <li>
 Experience with scalable ML (MapReduce, streaming).
 </li>
 <li>
 Ability to drive a project and work both independently and in a team.
 </li>
 <li>
 Smart, motivated, can do attitude, and seeks to make a difference.
 </li>
 <li>
 Excellent verbal and written communication.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with JavaScript and prototyping languages such as Python and R. Experience with Java and Scala is a plus.
 </li>
 <li>
 A portfolio of projects (GitHub, papers, etc.) is a plus.
 
 
 </li>
 </ul>
 
 C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.
 
 
 
 C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.
</div>

Data Scientist - Defence

StaffHost digital

<div>
 
 
 AI Engineer | London (Hybrid &ndash; 2 Days per Week) | Equity Available
 
 
 
 
 
 
 We're partnering with an exceptionally well-funded AI startup that is entering a pivotal stage of growth and innovation. Having successfully secured significant venture backing and built strategic relationships with some of the biggest names in AI, including Anthropic and OpenAI, they're now scaling their engineering team to help shape the next generation of AI-powered products.
 
 
 If you've previously experienced the rapid growth of a startup moving from Seed to Series A or Series A to Series B funding, you'll understand the pace, ownership, and impact that comes with this environment.
 
 
 
 
 
 
 The Opportunity
 
 
 
 As an AI Engineer, you'll play a key role in designing, building, and deploying production-grade AI systems that directly impact thousands of users. You'll work across the full lifecycle, from experimentation and prototyping through to deployment and optimisation, helping turn the latest AI advancements into real-world products.
 
 
 You'll be given the freedom to test new ideas, challenge existing approaches, and contribute to product strategy in a highly collaborative environment where speed and innovation are valued.
 
 
 
 
 
 
 What You'll Be Working On
 
 
 <ul>
 <li>
 Building and deploying AI-powered products and intelligent agent workflows
 </li>
 <li>
 Developing and optimising LLM applications for production environments
 </li>
 <li>
 Designing agentic systems capable of complex reasoning and task execution
 </li>
 <li>
 Experimenting with prompt engineering, context management, evaluation frameworks, and model orchestration
 </li>
 <li>
 Running user experiments and A/B testing to improve model performance and user experience
 </li>
 <li>
 Working closely with Product and Engineering teams to rapidly ship new features
 </li>
 <li>
 Exploring and implementing the latest advancements from OpenAI, Anthropic, and the wider AI ecosystem
 </li>
 </ul>
 
 
 
 
 
 Tech Stack &amp; Experience
 
 
 
 Key technologies include:
 
 <ul>
 <li>
 Python
 </li>
 <li>
 TypeScript / JavaScript
 </li>
 <li>
 LangGraph
 </li>
 <li>
 LangChain
 </li>
 <li>
 OpenAI APIs
 </li>
 <li>
 Anthropic APIs
 </li>
 <li>
 Vector Databases
 </li>
 <li>
 RAG Architectures
 </li>
 <li>
 Agentic AI Frameworks
 </li>
 <li>
 LLM Evaluation &amp; Observability Tools
 </li>
 <li>
 React (desirable)
 </li>
 <li>
 Cloud Platforms (AWS, GCP or Azure)
 </li>
 </ul>
 
 
 
 
 
 We're Looking For People Who
 
 
 <ul>
 <li>
 Have 4+ years&rsquo; experience building and deploying AI applications into production
 </li>
 <li>
 Have worked with LLMs, AI agents, RAG systems, or generative AI products
 </li>
 <li>
 Thrive in fast-paced startup environments
 </li>
 <li>
 Enjoy solving complex technical challenges with a product-first mindset
 </li>
 <li>
 Are comfortable working with ambiguity and taking ownership
 </li>
 <li>
 Have experience in a high-growth startup that has scaled through Seed &rarr; Series A or Series A &rarr; Series B funding
 </li>
 <li>
 Are passionate about the future of AI and excited by the pace of innovation in the market
 </li>
 </ul>
 
 
 
 
 
 Thank you for your interest in this opportunity. If your application is successful, we will contact you to discuss the position in more detail within 48 hours of receiving your CV. Please assume your application has been unsuccessful if you do not hear back from us within 48 hours.
 
 
</div>

AI Engineer

Kinarden Search

<div>
 
 An exciting opportunity has arisen within a global consultancy's new and growing Data Science and AI team working on a range of machine learning, analytics and model validation projects.
 
 
 This role will suit individuals with experience in data science, machine learning or applied AI who are looking to work across a variety of complex business and technology challenges.
 
 
 
 
 
 
 The opportunity:
 
 
 <ul>
 <li>
 Developing and validating machine learning models
 </li>
 <li>
 Supporting the review and assessment of AI and data science solutions
 </li>
 <li>
 Working with large and complex datasets to generate meaningful insights
 </li>
 <li>
 Collaborating with technical and non-technical stakeholders
 </li>
 <li>
 Contributing to the development of innovative AI and analytics capabilities
 </li>
 </ul>
 
 
 
 
 
 Key requirements:
 
 
 <ul>
 <li>
 Strong Python skills (essential)
 </li>
 <li>
 Experience developing and validating machine learning models
 </li>
 <li>
 Knowledge of machine learning frameworks and statistical modelling techniques
 </li>
 <li>
 Exposure to LLMs, Generative AI or Agentic AI
 </li>
 <li>
 Experience with cloud platforms such as Azure or AWS desirable
 </li>
 <li>
 Strong communication and stakeholder management skills
 </li>
 </ul>
 
 
</div>

Data Scientist

JMAN Group

<div>JMAN is the commercial data partner that specializes in maximizing value creation activities for private equity funds and their portfolio companies. We partner with our clients to address the growing need for investment decisions and value creation initiatives to be backed by reliable, real-time data. When companies partner with JMAN, we combine our data science and data engineering expertise with our deep commercial understanding to deliver tangible, high-value outcomes at pace. Founded in 2010, JMAN has a global footprint with offices in New York, London and Chennai. Our team of more than 350 experts partner with more than 80 private equity funds and over 200 portfolio companies. Nearly 85% of our business is from recurring partnerships with our clients. JMAN has been a portfolio company of Baird Capital since 2023. 
 
<h2 class="jobSectionHeader">Position:
</h2>We are a rapidly scaling business focused on delivering applied data science solutions that create measurable commercial value. While we work across a range of AI paradigms, data science sits at the core of what we do, and we are looking for individuals with deep, proven expertise in this area. 
This is a technical delivery leadership role for a highly experienced Data Scientist who leads with structured problem solving and client empathy. The primary measure of success is whether clients achieve meaningful business outcomes through robust, well-designed data science solutions, not the adoption of the latest AI trends. 
You will own the full lifecycle of data science engagements: shaping ambiguous problems, designing and delivering statistical and machine learning models, and ensuring they are embedded into operational workflows. You will work across organisations at every stage of data maturity, applying sound judgement to determine what is feasible, practical, and commercially valuable. 
While the role may involve exposure to Generative AI and autonomous AI, these are not substitutes for strong data science fundamentals. Candidates must demonstrate deep, hands-on experience delivering applied machine learning and statistical modelling in real-world settings.
Internally, you will act as a data science standard-setter, helping define best practice, raising the quality bar, and developing others within the team. 
Scope of Work
Our work spans multiple AI paradigms, with a clear emphasis on Data Science as the primary discipline for this role:<ul><li>
Data Science (Primary Focus):</li><li>
Statistical modelling, machine learning, predictive analytics, and decision science delivered into production environments and real business processes.</li><li>
Generative AI (Secondary):</li><li>
LLM-powered applications such as RAG pipelines and document intelligence, applied where appropriate to support data-led solutions.</li><li>
Autonomous AI (Emerging):</li><li>
Agent-based systems and AI workflows, used selectively where they add clear value.</li></ul> 
~75&ndash;80% of the role is focused on Data Science-led delivery, including problem structuring, model development, evaluation, and operationalisation. The remaining time is spent on client engagement, team leadership, and broader AI exposure where relevant. 
Core Responsibilities<ul><li>
Own end-to-end delivery of data science workstreams, from problem definition through to production deployment and ongoing monitoring.</li><li>
Translate ambiguous business problems into hypothesis-driven data science solutions, grounded in statistical rigour and practical feasibility.</li><li>
Lead the design and deployment of machine learning models, ensuring they are robust, explainable, and operationally viable.</li><li>
Provide technical oversight across projects, with a strong focus on model quality, evaluation frameworks, and reproducibility.</li><li>
Work closely with data engineers to ensure models are effectively integrated into production systems, with appropriate pipelines, monitoring, and lifecycle management.</li><li>
Apply sound judgement in selecting modelling approaches, balancing sophistication with interpretability, maintainability, and business value.</li><li>
Act as a trusted advisor to clients, communicating complex data science concepts clearly and influencing decision-making at senior levels.</li><li>
Manage delivery timelines, risks, and priorities across engagements.</li><li>
Set the standard for data science excellence, including coding standards, documentation, and best practices.</li><li>
Mentor junior team members, supporting their development as data scientists.</li></ul> 
The most important requirement for this role is proven, hands-on experience in Data Science. Candidates must be able to demonstrate a strong track record of delivering end-to-end machine learning or statistical solutions in real-world environments.<h2 class="jobSectionHeader"> 
Requirements:
</h2><ul><li>5+ years&rsquo; experience in Data Science or applied machine learning, ideally in consulting, high-growth, or commercial environments.</li><li>
Strong applied machine learning expertise, including:Model selection and developmentFeature engineeringEvaluation and validationDeployment into production environments</li><li>
Demonstrated experience taking models beyond experimentation into operational, business-critical systems.</li><li>
Strong background in statistics and quantitative problem solving.</li><li>
Proficiency in Python and SQL, with experience writing production-quality, maintainable code.</li><li>
Experience with modern data science tooling, including:Version control (Git)Cloud platforms (AWS, GCP, or Azure)Experiment tracking and model managementWorkflow orchestration and containerisation</li><li>
Strong understanding of MLOps principles, including model monitoring, retraining, and lifecycle management.</li><li>
Proven ability to translate business problems into data science solutions that deliver measurable outcomes.</li></ul>
Beneficial<ul><li>
Exposure to Generative AI (e.g. LLMs, RAG) is beneficial but not a substitute for core data science expertise.</li><li>
Awareness of emerging AI paradigms (e.g. agent-based systems) is a plus, but not required.</li></ul> 
Specialisms (Data Science&ndash;led)
We particularly value depth in applied data science areas such as:<ul><li>
Predictive Modelling &amp; Forecasting</li><li>
Customer analytics (segmentation, churn, LTV)</li><li>
Pricing and optimisation models</li><li>
Time series modelling</li><li>
Experimental design and causal inference</li><li>
Natural Language Processing (within a traditional ML framework as well as LLM-based approaches)</li></ul><h2 class="jobSectionHeader"> 
Other information:
</h2>If you feel that you would be a strong addition to our team, but you do not fully meet all the requirements above, we would like to encourage you to please apply anyway. As we expand, we are looking for individuals across all levels and maybe able to discuss a suitable alternative with you.
JMAN is committed to equal employment opportunities. We are a diverse, high performing team and base all our employment decisions on merit, job requirements and business needs.<h2 class="jobSectionHeader"> 
Other information</h2><ul><li>
Discretionary bonus &ndash; based on personal and company performance</li><li>
25 days annual leave + bank holidays</li><li>
Pension with a company contribution up to 8%</li><li>
Health Insurance from day 1</li><li>
Life insurance and long-term disability insurance</li><li>
Market-leading parental leave policy</li><li>
Salary Sacrifice Nursery Scheme through YellowNest</li><li>
Salary Sacrifice EV Scheme with Octopus Vehicles</li><li>
Additional Health Cash Plan with MediCash</li><li>
Cycle to work scheme</li><li>
Referral bonus for bringing in new JMAN hires</li><li>
Extensive training and coaching opportunities</li><li>
Regular company socials and retreats</li><li>
Hybrid working - minimum of 3 days in the office (E3N)</li></ul></div>

Data Science Manager

Boston Consulting Group (BCG)

<div>
 Who We Are
 
 
 Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
 
 
 To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
 
 
 What You'll Do
 
 
 Are you passionate about harnessing the power of Generative AI to solve real-world
 
 
 problems? As a world-renowned and leading AI Consulting firm, we are actively
 
 
 seeking hands-on GenAI experts to join our PSG BI&amp;A Team.
 
 
 As a GenAI IT Senior Data Scientist you will work closely with our Partner Services
 
 
 Group to understand their key challenges, define GenAI products, win buy-in for your
 
 
 recommendations and collaborate with other IT teams to transform stakeholder
 
 
 potentials into performance.
 
 
 Finally, as a GenAI IT Senior Data Scientist, you will contribute to PSG BI&amp;A Data
 
 
 Science expertise and will be responsible for overseeing end-to-end Data Science and
 
 
 GenAI solutions, collaborating closely with the BI&amp;A Squad to deliver on stakeholder
 
 
 objectives.
 
 
 What You'll Bring
 
 
 We&rsquo;re looking for exceptional talent with experience in core Data Science and AI
 
 
 
 To Join Us. You Will Typically Have
 
 
 
 <ul>
 <li>
 +4 years experience in IT strategy and consulting, professional software
 
 
 </li>
 </ul>
 development or Data Science product organisation.
 
 
 <ul>
 <li>
 A bachelor's or master&rsquo;s degree in computer science, Engineering, or a related
 
 
 </li>
 </ul>
 field. Preferably with a focus on artificial intelligence, machine learning, or
 
 
 data science.
 
 
 <ul>
 <li>
 Strong Data Science experience with proficiency in Python, Snowflake, DBT
 
 
 </li>
 </ul>
 and Tableau with experience working in a Data Engineering team and a
 
 
 proven ability to communicate effectively and provide clear, actionable
 
 
 insights to senior stakeholders
 
 
 <ul>
 <li>
 Strong technical expertise in Generative AI, Data Science and Machine
 
 
 </li>
 </ul>
 Learning.
 
 
 <ul>
 <li>
 A strategic thinker, entrepreneurial, able to work creatively and analytically in
 
 
 </li>
 </ul>
 a problem-solving environment
 
 
 <ul>
 <li>
 Outstanding analytical and conceptual skills, strong customer focus and
 
 
 </li>
 </ul>
 mental agility with a results orientation
 
 
 <ul>
 <li>
 Sound understanding of GenAI solution constructs e.g., LLMs, RAG,
 
 
 </li>
 </ul>
 Guardrails, MLOps and multi-modality
 
 
 <ul>
 <li>
 Experience managing and executing data science and AI projects, from
 
 
 </li>
 </ul>
 ideation to deployment, while ensuring alignment with business objectives
 
 
 and delivering impactful outcomes
 
 
 <ul>
 <li>
 Understanding of various GenAI platform &amp; middleware and how they fit in
 
 
 </li>
 </ul>
 GenAI architecture e.g., AWS Bedrock, Google Vertex, Langchain or
 
 
 LlamaIndex
 
 
 <ul>
 <li>
 Able to understand &amp; apply advanced prompt engineering methods and
 
 
 </li>
 </ul>
 related concepts (RAG, context windows, memory) RAG is a must!
 
 
 <ul>
 <li>
 Experience in the organisation of workshops at peer level and facilitating
 
 
 </li>
 </ul>
 meetings
 
 
 <ul>
 <li>
 Ability to work autonomously while contributing effectively as part of a team
 </li>
 <li>
 Strong business acumen; can frame complex problems in appropriate
 
 
 </li>
 </ul>
 business contexts
 
 
 <ul>
 <li>
 Highly professional and rigorous, results-oriented, driven and hard-working
 </li>
 <li>
 Have excellent verbal and written communication skills in English
 </li>
 <li>
 Loyal and reliable, possessing the highest ethical standard
 </li>
 <li>
 Good interpersonal skills but also judgement independency and autonomy
 </li>
 <li>
 Ability to propose innovative ideas, build empathy within the firm and win the
 
 
 </li>
 </ul>
 trust of key stakeholders
 
 
 Who You'll Work With
 
 
 You will be part of the PSG BI&amp;A Squad and our IT Functional Technology team,
 
 
 partnering with the AI Center of Excellence (AI CoE), Genie team, Responsible AI,
 
 
 and Security/Architecture teams. Together, you&rsquo;ll deliver scalable, secure, and
 
 
 innovative GenAI solutions that will transform how PSG teams engage with
 
 
 technology.
 
 
 Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
 
 
 BCG is an E - Verify Employer. Click here for more information on E-Verify.
</div>

Global IT Data Scientist Senior Specialist

Sainsbury’s

<div><div><h1 class="jobSectionHeader">Data Scientist
</h1></div><h4 class="jobSectionHeader">Salary: Competitive Plus Benefits 
Location: London Store Support Centre and Home, London, EC1M 6HA
 
Contract type:
 
Business area: Data &amp; Analytics 
Closing date: 07 July 2026 
Requisition ID: 400067289</h4><div><div>At Sainsbury&rsquo;s, data sits at the heart of how we operate, innovate and serve our customers. Our Data &amp; Analytics team is building a technically advanced, commercially focused and impactful capability, powering our Next Level Strategy and helping to create a Sainsbury&rsquo;s powered by industry leading AI algorithms. We use data, technology and advanced analytics to drive better decisions across the business, from forecasting and optimisation to experimentation, personalisation and machine learning. With one of the richest retail datasets I n the UK and a portfolio spanning Sainsbury&rsquo;s, Argos, Habitat and Nectar, the opportunity to innovate is huge. Here, you&rsquo;ll tackle complex challenges at scale, create measurable impact and grow quickly alongside brilliant colleagues. People who thrive with us combine business understanding, technical expertise and curiosity, with a natural instinct for problem-solving. Join us and help shape the future of retail through data and AI.
</div></div><div><div>Data Scientist &ndash; Nectar360 


Location

London &ndash; Farringdon/Home

Reporting to

N360 Data Science Manager 


What is it?

We&rsquo;re looking for a talented Data Scientist to join Nectar360 &ndash; the team behind Sainsbury&rsquo;s Retail Media offering, and the UK&rsquo;s largest coalition loyalty programme (Nectar), with 24 million members nationwide.

Our N360 Data Science team builds the systems behind our market-leading Retail Media platform (N360 Pollen), allowing hundreds of suppliers, media agencies and internal teams to set up, customise and measure their marketing campaigns. We develop and continuously improve our cutting-edge measurement capabilities, including multi-channel attribution, uplift estimation, AI-driven targeting and budget optimisation - across instore, onsite and offsite media. Our work enables suppliers to engage with customers every day and maximise the impact of their advertising.

Based in our new Farringdon office, this role will work closely with decision-makers across Nectar360 and Sainsbury&rsquo;s to continue building innovative solutions for Nectar360, our suppliers and partners, using our incredible data assets, our rich customer understanding, and state of the art machine learning and AI. As one of the data scientist in the team, you&rsquo;ll apply your wealth of experience and ideas to design, build, and improve our capabilities &ndash; driving value for the customer and the business. With a large team of data scientists and analysts across Sainsbury&rsquo;s and millions of known customers, the scale and scope are huge. 


What will you be doing?

Solve the hard problems
<ul>
<li>Work on the technical development of algorithms and pipelines that will deliver against our strategic objectives in Nectar360, including our industry-leading marketing measurement solutions.</li>
<li>Develop and enhance modelling and optimisation capabilities, using techniques such as MMMs, causal inference, multi-touch attribution, experimentation Bayesian modeling, unsupervised learning and many others.</li>
<li>Support the maintenance and optimization of existing models to adapt to changing needs and client feedback.</li></ul> 


Embody and improve best practice
<ul>
<li>Align to best practice across modelling, experimentation, deployment, and model lifecycle management.</li>
<li>Collaborate with stakeholders to understand and deliver on their needs, and work with engineering teams to source data and deploy robust solutions.</li></ul> 


Be an enthusiastic member of our community
<ul>
<li>Bring new ideas for future approaches, including state of the art techniques where appropriate.</li>
<li>Understand how our business really works and how data science can improve customer experience and our offering to 3rd parties.</li>
<li>Actively contribute to our vibrant Data and Analytics community of over 800 colleagues</li></ul> 


What are we looking for?

We&rsquo;re looking for a highly motivated self-starter &ndash; someone who fixes problems and creates value without micromanagement. You need to know how to balance our need for technical rigour against our need to deliver commercial and customer value.

Value delivery
<ul>
<li>Experience in Data Science roles in a commercial setting, with evidence of solving complex problems end-to-end.</li>
<li>A record of building systems which run in production, and an understanding of the value these generated.</li>
<li>An ability to understand commercial reality as well as technical rigour, and a pragmatic mindset.</li>
<li>A strong ability to communicate ideas to audiences of varying technical background and seniority, and present key ideas and insights succinctly.</li>
<li>Independence in proposing and implementing solutions</li></ul> 


Data Science expertise
<ul>
<li>Solid grounding and experience in applying statistical modelling and machine learning in commercial settings, with proven experience in some of the following areas: Causal inference, MMMs, Bayesian inference, experimentation, multi-touch attribution, time series modelling.</li>
<li>Ability to select the right technique for a given objective and avoid pitfalls.</li>
<li>Curiosity, scepticism and attention to detail regarding data quality, samples, bias and ethics.</li></ul> 


Production-grade design
<ul>
<li>Advanced programming ability in Python and strong ability to use SQL, with a proven experience of developing complex solutions as part of a team.</li>
<li>Solid understanding of working with production codebases, version control and CI/CD.</li>
<li>Practical experience working with cloud platforms and MLOps tools to build and maintain production-ready solutions.</li></ul> 


Development
<ul>
<li>A strong awareness and understanding of technology trends and direction in Data Science, analytics and AI.</li></ul> 


Essential Criteria
<ul>
<li>Experience in previous Data Science roles in a commercial setting</li>
<li>Strong understanding of working with production codebases, version control and CI/CD.</li>
<li>Ability to communicate ideas to audiences of varying technical background and seniority</li>
<li>Independence in proposing and implementing solutions</li>
<li>Solid grounding and experience in applying statistical modelling and machine learning in commercial settings</li>
<li>Advanced programming ability in Python and strong ability to use SQL</li></ul> 


Support we will provide
<ul>
<li>A vibrant team to bounce ideas off and to support you with specialised knowledge (technical, stats/data science or business processes)</li>
<li>Mentoring from Data Science Managers</li>
<li>Automation and orchestration support from our integrated engineering and product teams within Nectar360</li>
<li>Technical and non-technical training and regular hackathons, learning days and knowledge sharing sessions.</li></ul> 


We are committed to being a truly inclusive retailer so you&rsquo;ll be welcomed whoever you are and wherever you work. Around here, there&rsquo;s always the chance to try something new &mdash; whether that&rsquo;s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we&rsquo;ll also offer you an amazing range of benefits. Please see www.sainsburys.jobs for details.

#DataAndAnalytics

#DataScience

#LI-CM1
</div></div><div><div>We are committed to being a truly inclusive retailer so you&rsquo;ll be welcomed whoever you are and wherever you work. Around here, there&rsquo;s always the chance to try something new &mdash; whether that&rsquo;s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we&rsquo;ll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 10% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance and you can buy up to an additional week's holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an employee assistance programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks&rsquo; pay for maternity or adoption leave and up to 4 weeks&rsquo; pay for paternity leave. Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply).</div></div></div>

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

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Assistant Director, Artificial Intelligence, London