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data engineer

data analyst

LABOUR PARTY

<div></div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job description</b></h2><div><p><b>
Role: Data Scientist</b></p><p><b>
Salary: &pound;54,673.46 (gross) per annum inclusive of London Weighting, with a fixed sum allowance of &pound;1,195.
</b></p><p><b>Current employees in banding 36 will maintain their existing salary.</b></p><p><b>
Location: Head Office - London</b></p><p><b>
Duration: Permanent</b></p><p></p><p><br>
The Labour Party is looking to recruit a Data Scientist. The post-holder will be responsible for supporting the work of the party in the analysis of voter behaviour, elections and campaigning, to contribute to Labour&rsquo;s political and organisational strategies through the use of data analysis, and lead on the measurement and reporting of campaign progress and campaign effects.</p><p></p><p><br>
The successful candidate will have:</p><br>
<p></p><ul><li>
Strong understanding of statistical modelling, with a minimum of degree-level statistical understanding, or equivalent professional experience</li><li>
Strong understanding of polling methodology and how to use to polling to answer political questions.</li><li>
Experience of conducting analysis and reporting on political data and polling and producing outputs like reports, visualisations and dashboards for stakeholders.</li><li>
Ability to understand how data on voters, campaigns and elections can be used to drive strategic decision making</li></ul><p></p><p><br>
The Labour Party&rsquo;s standard working arrangement is that all employees based in headquarters in London/Newcastle attend their contracted office four days per week, Monday to Thursday. Home working is only authorised on Fridays.</p><p></p><p><br>
The deadline for applications is <b>12 July 2026.</b></p><p></p><p><b><br>
The Labour Party values equality and diversity, and welcomes applications from candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marriage and civil partnership, or pregnancy and maternity.</b></p></div></div></div></div></div></div><p></p>

Data Scientist

Sainsbury’s

<div><div><h1 class="jobSectionHeader"><b>Data Scientist
</b></h1></div><h4 class="jobSectionHeader"><b>Salary: </b><b>Competitive Plus Benefits</b><br>
<b>Location: </b><b>London Store Support Centre and Home, London, EC1M 6HA
</b><br>
<b>Contract type:
</b><br>
<b>Business area: </b><b>Data &amp; Analytics</b><br>
<b>Closing date: </b><b>07 July 2026</b><br>
<b>Requisition ID: </b><b>400067289</b></h4><p></p><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><p><b>Data Scientist &ndash; Nectar360</b></p><br>
<p></p>
<p><b>
Location</b></p>
<p>
London &ndash; Farringdon/Home</p>
<p><b>
Reporting to</b></p>
<p>
N360 Data Science Manager</p><br>
<p></p>
<p><b>
What is it?</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p><br>
<p></p>
<p><b>
What will you be doing?</b></p>
<p>
Solve the hard problems</p>
<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><br>
<p></p>
<p>
Embody and improve best practice</p>
<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><br>
<p></p>
<p>
Be an enthusiastic member of our community</p>
<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><br>
<p></p>
<p><b>
What are we looking for?</b></p>
<p>
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.</p>
<p>
Value delivery</p>
<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><br>
<p></p>
<p>
Data Science expertise</p>
<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><br>
<p></p>
<p>
Production-grade design</p>
<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><br>
<p></p>
<p>
Development</p>
<ul>
<li>A strong awareness and understanding of technology trends and direction in Data Science, analytics and AI.</li></ul><br>
<p></p>
<p><b>
Essential Criteria</b></p>
<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><br>
<p></p>
<p><b>
Support we will provide</b></p>
<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><br>
<p></p>
<p>
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.</p>
<p>
#DataAndAnalytics</p>
<p>
#DataScience</p>
<p>
#LI-CM1</p>
</div></div><div><div><p>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).</p></div></div></div><p></p>

Merlin Entertainments

<div><h2 class="jobSectionHeader"><b>What you'll bring to the team
</b></h2><div><div><div><div><b>Senior Data Scientist</b></div><div><b>
Location:</b> London/Hybrid</div><div><b>
Hours:</b> 37.5 hours per week</div><div><b>
Contract: </b>Permanent - Salaried</div><div></div><div><br>
You are a senior technical authority within the Data Science capability. You are responsible not only for building models, but for defining what should be built, ensuring quality, and bridging the gap between business outcomes and technical delivery.</div><div></div><div><b><br>
Responsibilities:</b></div><ul><li>
Build and deploy predictive models and advanced analytics solutions for high-value use cases.</li><li>
Own the most complex and high-impact modelling problems.</li><li>
Ensure robustness, explainability, and performance of models in production.</li><li>
Define the features and datasets required for modelling.</li><li>
Collaborate with the Lead Data Modeller to shape semantic definitions and structures.</li><li>
Work with Engineering to ensure pipelines support modelling needs.</li><li>
Translate business problems into analytical approaches.</li><li>
Challenge poorly defined requests and drive clarity on outcomes.</li><li>
Communicate trade-offs between model complexity, data availability, and delivery timelines.</li><li>
Establish and enforce best practices for modelling, evaluation, and deployment.</li><li>
Implement peer review processes for models and code.</li><li>
Ensure ethical and responsible use of data and AI.</li><li>
Mentor junior and mid-level Data Scientists.</li><li>
Support capability development and knowledge sharing.</li><li>
Act as a confident voice in shaping Data Science practices.</li><li>
Work closely with the Lead Data Modeller to define &lsquo;Gold&rsquo; data required for analytics.</li><li>
Partner with Data Engineers to ensure model readiness and operational deployment.</li><li>
Align with Delivery Lead on prioritisation and feasibility.</li></ul><p></p><div><div><div><div><div><div><div><div><br>
Merlin - It's where we playMerlin Entertainments</div><p></p><div><div><div>
Merlin Entertainments2.17K subscribers</div></div></div></div></div></div><div></div><div><div><div><div><div>
Watch on</div></div></div></div></div></div></div></div></div><div></div>
</div></div></div><h2 class="jobSectionHeader"><b>Qualifications &amp; Experience
</b></h2><div><div><div><ul><li>Degree in a relevant field such as Computer Science, Mathematics or Engineering.</li><li>
At least 4 years of experience in a data science or statistical role with a proven track record of delivering impactful solutions.</li><li>
Experience in developing and deploying machine learning models and statistical analysis.</li><li>
Familiarity with distributed computing tools and cloud platforms (e.g., Azure Synapse, Snowflake, Databricks).</li><li>
Experience with data transformation and analytics tools (e.g., Python, SQL, Spark SQL).</li><li>
Proven ability to work with large datasets and complex data structures.</li><li>
Strong background in applying statistical and machine learning techniques to solve business problems.</li></ul>
</div></div></div><h2 class="jobSectionHeader"><b>Benefits
</b></h2><div><div><div><ul><li>&lsquo;Enjoy the Ride&rsquo; Merlin Annual Passes - 6 in total per year, 1 for you, plus 5 to gift to loved ones!</li>
<li>Merlin Magic Pass - 20 free tickets for you, your family and friends to enjoy all our Merlin Attractions across the world rising to 40 after a year&rsquo;s service</li>
<li>33 days holiday (including bank holidays)</li>
<li>Company bonus</li>
<li>Private pension scheme</li>
<li>40% discount online off LEGO</li>
<li>25% discount in our on-site retail shops and restaurants</li>
<li>Ongoing training and development opportunities</li>
<li>Plus, many more&hellip;</li></ul><br>
<div></div>
<div><b>
If you have any questions or if you require any assistance, because of a disability or medical condition, please contact us by email at Recruitment@Merlinentertainments.biz and one of the team will get back to you as soon as possible.</b></div>
<div></div>
</div></div></div><h2 class="jobSectionHeader"><b>Pay Range
</b></h2><div><div><div>Competitive</div></div></div></div>
<br><div>At Merlin we welcome the world to our magical attractions and resorts every day and we want to reflect that same multicultural mix inside our business too. We strive to create an inclusive and diverse workplace where people can be themselves, have the same opportunities and thrive together. Because at Merlin, everyone matters!
<br>
<br>
Together, we work to create a workplace where everyone feels valued, no matter their age, race, gender, disability or sexual orientation. Although we understand that we'll always be learning and growing, we aim to be the most inclusive and flexible employer in our industry.</div>

SENIOR DATA SCIENTIST

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
We are looking for a passionate, talented, and inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Alexa for Shopping, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey.<br>
<br>
This innovative role focuses on developing conversation-based, multimodal shopping experiences, utilizing data analysis, statistical modeling, machine learning (ML) technologies, and experimentation to drive product decisions and optimize customer experiences.<br>
<br>
Our mission in conversational shopping is to make it easy for customers to find and discover the best products to meet their needs by helping with their product research, providing comparisons and recommendations, answering product questions, enabling shopping directly from images or videos, providing visual inspiration, and more. We do this by leveraging advanced analytics, Natural Language Processing (NLP), Machine Learning (ML), A/B testing, causal inference, and data-driven insights to continuously improve our systems.<br>
<br>
Key job responsibilities<br>
Key job responsibilities As a Data Scientist on our team, you will be responsible for the analysis, modeling, and optimization of AI technologies that will shape the future of shopping experiences. You will play a critical role in measuring and improving multimodal conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graphs, to be tailored to customer needs. You will handle Amazon-scale use cases with significant impact on our customers' experiences. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include designing experiments, analyzing results, and launching new features, products and systems.<br>
<br>
A day in the life<br>
Perform hands-on analysis and modeling of enormous multimodal datasets to develop insights into how to best help customers throughout their shopping journeys. Use statistical methods, machine learning, and data mining techniques to create scalable solutions for measuring and optimizing shopping assistant systems based on a rich set of structured and unstructured contextual signals. Design and analyze A/B tests and experiments to evaluate new features and model improvements, ensuring statistical rigor and actionable insights. Develop metrics, dashboards, and reporting frameworks to monitor system performance, customer engagement, and business impact. Build predictive models and conduct deep-dive analyses to identify opportunities for improving customer experience, conversion, and satisfaction. Collaborate with Applied Scientists and Engineers to translate analytical insights into production systems, working closely on model evaluation and deployment. Establish automated processes for large-scale data analysis, ETL pipelines, metric generation, and experimentation frameworks. Communicate results and insights to both technical and non-technical audiences, including through presentations, written reports, and data visualizations.<br>
<br>
About the team<br>
The Alexa for Shopping Science team, based in London, works alongside ~150 engineers, designers and product managers, shaping the future of AI-driven shopping experiences at Amazon. The team works on every aspect of the AfS AI, from making it agentic, enabling customers to set price alerts or empower AfS to act on their behalf and automatically purchase products when the price is right, to understanding multimodal user queries and generating answers that combine text, image, audio and video, including deep research reports that scour the web and the Amazon catalog to provide detailed and personalised shopping guidance. We utilize and advance state-of-art techniques in the fields of Natural Language Processing, gen AI, Information Retrieval, Machine/Deep Learning, and Data Mining. We validate our work by actively participating in the internal and external scientific communities.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree or above in Math, Statistics, Computer Science, or related science field</li><li>Experience in a ML or data scientist role with a large technology company</li><li>Experience with machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance</li><li>Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)</li><li>Experience effectively communicating complex concepts through written and verbal communication</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in defining and creating benchmarks for assessing GenAI model performance</li><li>Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2</li><li>Experience working on multi-team, cross-disciplinary projects</li></ul><br>
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.<br>
<br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Data Scientist II, Alexa for Shopping Science UK, Alexa for Shopping Science UK

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:
 <strong>
  C3 AI
  <br/>
  <br/>
 </strong>
 As a member of the
 <strong>
  C3 AI Data Science team
 </strong>
 , 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Some travel to customer and partner locations should be expected.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  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.
  <br/>
  <br/>
 </strong>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.
  <br/>
  <br/>
 </strong>
 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

Accenture

<div><p><b>YOU ARE</b></p><p>
As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your spans the full solution lifecycle &mdash; assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps &amp; MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems.</p><p></p><p><b>
THE WORK</b></p><ul><li>
Formulate real-world problems into practical, efficient, and scalable AI and Machine Learning solutions</li><li>
Develop and implement machine learning algorithms, models, and computational systems; design and build scalable data pipelines to support model training and production with DevOps &amp; MLOps</li><li>
Customize and apply Deep Learning and Gen AI models for various use cases based on the business needs, data availability, system and infrastructure requirements - including edge device and HPC</li><li>
Engage in research and development of new AI and high-performance compute algorithms, models, and simulations along with their applications to solve complex business problems at client sites</li><li>
Work with large-scale datasets and utilize data preprocessing techniques to ensure high-quality input for training and production</li><li>
Implement and maintain efficient data storage and retrieval mechanisms for models and knowledge using appropriate tools</li><li>
Justify the value of model approaches in business problems</li><li>
Collaborate with teams from both business and technical sides, including users, use case representatives, business owners, engineers, architects, and UI designers, to achieve end-to-end project goals and integrate into production</li></ul></div>
<br>
<div><p><b>EDUCATION</b></p><ul><li>
Bachelor's Degree in Computer Science, Computer Engineering, Data Science, or a related field</li></ul><p></p><p><b>
BASIC (REQUIRED) QUALIFICATION</b></p><ul><li>
Work or coursework experience with machine learning engineering or machine learning science, deploying models in production at scale , including monitoring, alerting, automatic bug filing and auditing.</li><li>
Work or coursework experience in applying theoretical foundations of computer science, including computer system architecture, system engineering, and programming</li></ul><p></p><p><b>
PREFERRED QUALIFICATION</b></p><ul><li>
Proficiency in Python and python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch)..</li><li>
Experience working with language models like LLM's APIs and optimizing their usage for specific applications.</li><li>
Experience with the following programming languages: Python, C++, Java, R, SQL</li><li>
Strong written &amp; verbal communication skills and ability to communicate complex technical concepts to non-technical stakeholders</li><li>
Strong client-facing skillsets in a consulting environment</li><li>
Strong cross-functional skills with the ability to collaborate with a variety of internal and client-side teams</li><li>
Entrepreneurial mindset with a curiosity and passion for emergent tech and driving innovation</li></ul></div>

AI/ML Computational Science Senior Analyst

International Rescue Committee

<div><p>The International Rescue Committee (IRC) responds to the world's worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world's largest international humanitarian non-governmental organizations (INGO), at work in more than 40 countries and 29 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. A force for humanity, IRC employees deliver lasting impact by restoring safety, dignity and hope to millions. If you're a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people world-wide for a better future.</p><p></p><p><b>
Job Role Overview</b></p><p>
The Director, AI Security is a newly created senior leadership role responsible for building, leading, and continuously maturing the IRC&rsquo;s AI security function. As AI agents and AI-powered tools proliferate across the business, this role sets the organizational direction for securing AI systems &mdash; from initial design through production deployment, ongoing governance, and team development.</p><p></p><p>
This is a high-visibility, cross-functional leadership role that sits at the intersection of security engineering, risk management, and emerging technology. The Director, AI Security will advise the CISO, build and develop a dedicated AI security team, own the function&rsquo;s budget, and partner with Security Operations, Identity &amp; Access Management, Governance Risk &amp; Compliance, and business unit technology teams to ensure AI adoption is secure by design.</p><p></p><p><b>
Key Responsibilities</b></p><p><b>
AI Security Strategy &amp; Governance</b></p><ul><li><p>
Define, own, and continuously mature the IRC's AI security strategy and program roadmap</p></li><li><p>
Establish and maintain the organization-wide AI agent registry &mdash; a governed inventory of all AI agents in production, including their purpose, permissions, data access, and accountable owners</p></li><li><p>
Develop and publish secure-by-default standards, frameworks, and reference architectures for internal AI agent development</p></li><li><p>
Create and enforce AI security policies covering agent development, deployment, monitoring, and decommissioning</p></li><li><p>
Report AI security risk posture, program progress, and emerging threats to the CISO and senior leadership on a regular cadence; serve as a key member of the security leadership team</p></li></ul><p><b>
Security Risk Assessment &amp; Review</b></p><ul><li><p>
Coordinate and perform GIS security reviews within the organization's AI governance framework, ensuring AI platforms, agents, and use cases receive appropriate security assessment and approval prior to production deployment.</p></li><li><p>
Partner with AI Governance, Privacy, Legal, and Technology stakeholders to support the AI intake, assessment, and stage-gating process, providing security expertise, control requirements, and risk-based recommendations throughout the solution lifecycle.</p></li><li><p>
Perform security risk assessments and classify AI platforms, agents, and use cases according to the approved risk-tiering model, applying review, control, and approval requirements proportionate to risk.</p></li><li><p>
Conduct a structured controls assessment for every use case, validating that mandatory security baseline requirements are met &mdash; including least-privilege access, credential management, audit logging, data minimization, human-in-the-loop checkpoints, and kill switch capability</p></li><li><p>
Issue formal, documented approval decisions for every reviewed use case &mdash; Approved, Approved with Conditions, or Not Approved &mdash; with a full written rationale recorded in the AI agent registry to maintain an auditable approval history</p></li><li><p>
Manage defined SLA timelines for all reviews (Tier 1: 5 business days, Tier 2: 10 business days, Tier 3: 15 business days) to ensure security review does not become a blocker to business unit velocity</p></li><li><p>
Conduct periodic reassessments of all active agents on a risk-appropriate cycle &mdash; annually for Tier 1, semi-annually for Tier 2, and quarterly for Tier 3 &mdash; and trigger immediate out-of-cycle reviews whenever a material change is made to an agent's capabilities, data access, or toolset</p></li><li><p>
Monitor the evolving AI threat landscape on an ongoing basis and proactively assess whether newly discovered attack techniques &mdash; including new prompt injection methods, jailbreaks, or model-specific vulnerabilities &mdash; expose any currently approved use cases, initiating remediation where required</p></li><li><p>
Lead post-incident reassessments for any active agent involved in a security incident, updating the agent's approval status and controls requirements based on findings</p></li><li><p>
Evaluate third-party AI tools, models, and platforms for security risk prior to organizational adoption</p></li><li><p>
Maintain a risk register specific to AI systems, tracking identified vulnerabilities, mitigations, and residual risk</p></li><li><p>
Report aggregate review metrics to the CISO on a regular cadence &mdash; including number of use cases reviewed, approval rates by tier, common findings, and AI risk distribution across business units &mdash; providing organizational visibility into the AI risk posture</p></li></ul><p><b>
Technical Oversight &amp; Controls</b></p><ul><li><p>
Define technical security requirements for AI agents including least-privilege access, prompt injection defenses, output filtering, audit logging, and human-in-the-loop controls</p></li><li><p>
Build, lead, and develop a team of AI security engineers responsible for implementing and validating controls across the AI agent development lifecycle</p></li><li><p>
Own and resource red team and adversarial testing programs targeting AI systems, ensuring adequate coverage through the AI Red Team Engineer and contracted specialists</p></li><li><p>
Drive adoption of secure coding practices and security tooling within AI development workflows</p></li></ul><p><b>
Identity &amp; Data Security Coordination</b></p><ul><li><p>
Establish governance frameworks with the IAM team to ensure AI agent identities, service accounts, and credentials are provisioned and governed under least-privilege principles across the organization</p></li><li><p>
Set data security standards with the ML/Data Security Analyst to ensure sensitive data &mdash; including PII, PHI, and proprietary information &mdash; is handled correctly throughout AI agent workflows, and hold teams accountable to those standards</p></li><li><p>
Define data classification requirements for information flowing through AI systems, including what data may and may not be included in model context</p></li></ul><p><b>
Incident Response</b></p><ul><li><p>
Develop and maintain AI-specific incident response runbooks covering scenarios such as prompt injection attacks, rogue agent behavior, credential compromise, and data leakage via AI systems</p></li><li><p>
Serve as executive sponsor and escalation point for significant AI-related security incidents, ensuring the organization maintains a tested, capable incident response function</p></li><li><p>
Conduct post-incident reviews and drive lessons learned back into the AI security program</p></li></ul><p><b>
Regulatory &amp; Compliance Alignment</b></p><ul><li><p>
Serve as the organization's primary subject matter expert on AI-specific regulatory requirements including the EU AI Act, NIST AI Risk Management Framework (AI RMF), GDPR as applied to AI systems, and emerging regional AI legislation</p></li><li><p>
Partner with the GRC team to map AI security controls to compliance obligations and maintain evidence for audits</p></li><li><p>
Monitor the evolving AI regulatory landscape and proactively advise leadership on upcoming obligations</p></li></ul><p><b>
People Leadership &amp; Team Development</b></p><ul><li><p>
Recruit, hire, onboard, and develop a high-performing AI security team, including AI security engineers, a red team engineer, and a data/ML security analyst</p></li><li><p>
Set clear team goals, conduct regular performance reviews, and create development plans that grow individual skills and advance careers</p></li><li><p>
Foster a team culture of continuous learning, given the rapidly evolving AI threat landscape, and ensure team members maintain current expertise in AI security techniques and tooling</p></li></ul><p><b>
Vendor Management</b></p><ul><li><p>
Lead vendor evaluation and selection for AI security tooling, negotiating contracts and managing ongoing relationships with key security vendors and managed service providers</p></li><li><p>
Develop a multi-year AI security roadmap aligned to IRC risk appetite, and evolving regulatory obligations</p></li></ul><p></p><p><b>
Working Relationships</b></p><p>
Internal:</p><ul><li><p>
CISO, ITLT, Security Operations &amp; Engineering lead and team, Identity &amp; Access Management (IAM) lead and team, Governance, Risk &amp; Compliance (GRC) lead, AI Review Panel lead and team, Office of General Council team, AI &amp; Program tech engineering and team, Data Architecture lead and engineering Team</p></li></ul><p>
External:</p><ul><li><p>
AI and Security Vendors &mdash; ongoing for product evaluation, contracts, and threat intel</p></li><li><p>
Industry Peers &amp; Research Communities &mdash; active participation in ISACs, working groups, and conferences</p></li></ul><p></p><p><b>
Required Qualifications</b></p><p><b>
Education</b></p><ul><li><p>
Bachelor's degree in Computer Science, Information Security, Cybersecurity, or a related technical field</p></li><li><p>
Advanced degree (Master's or equivalent) preferred but not required where experience is demonstrably strong</p></li></ul><p><b>
Experience</b></p><ul><li><p>
10+ years of experience in information security, with at least 4-5 years in a people management or senior security leadership role</p></li><li><p>
Demonstrated hands-on experience securing AI/ML systems, LLM-based applications, or agentic AI workflows</p></li><li><p>
Proven experience conducting threat modeling, security architecture reviews, and risk assessments for complex, distributed systems</p></li><li><p>
Experience building and leading security teams, including hiring, developing, and retaining talent in a fast-moving technical domain</p></li><li><p>
Track record of working cross-functionally with engineering, product, legal, and compliance teams; experience owning and managing a security budget including tooling, vendor, and headcount decisions</p></li><li><p>
Prior experience with incident response and managing security incidents involving automated or AI-driven systems is strongly preferred</p></li><li><p>
Demonstrated experience managing and developing a team of security professionals, including hiring, performance management, and career development</p></li></ul><p></p><p><b><i>
This is a remote position open to internal candidates based in countries where IRC operates who have the right to work in their location. Successful candidates will be hired on a local employment contract and according to local salary scale</i></b><i>.</i></p><p></p><p><b>
Compensation:</b> (US <i>Pay Range: $158,492-$184,536/yr; UK Pay Range: &pound;77,499-&pound;93,814/yr)</i> Posted pay ranges apply to US-based candidates. Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience and skills relative to the defined job requirements.</p><p></p><p><b><br>
PROFESSIONAL STANDARDS</b></p><p></p><p>
All International Rescue Committee workers must adhere to the core values and principles outlined in IRC Way - Standards for Professional Conduct. Our Standards are Integrity, Service, Equality and Accountability. In accordance with these values, the IRC operates and enforces policies on Safeguarding, Conflicts of Interest, Fiscal Integrity, and Reporting Wrongdoing and Protection from Retaliation. IRC is committed to take all necessary preventive measures and create an environment where people feel safe, and to take all necessary actions and corrective measures when harm occurs. IRC builds teams of professionals who promote critical reflection, power sharing, debate, and objectivity to deliver the best possible services to our clients.</p><p></p><p>
Cookies: https://careers.rescue.org/us/en/cookiesettings</p><p></p><p>
Compensation: Posted pay ranges apply to US-based candidates. Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience and skills relative to the defined job requirements.</p><p></p><p>
US Benefits: We offer a comprehensive and highly competitive set of benefits. In the US, these include: 10 sick days, 10 US holidays, 20-25 paid time off days depending on role and tenure, medical insurance starting at $163 per month, dental starting at $6.50 per month, and vision starting at $5 per month, FSA for healthcare and commuter costs, a 403b retirement savings plans with immediately vested matching, disability &amp; life insurance, and an Employee Assistance Program which is available to our staff and their families to support counseling and care in times of crisis and mental health struggles.</p><p></p><p>
Equal Opportunity Employer: IRC is an Equal Opportunity Employer. IRC considers all applicants on the basis of merit without regard to race, sex, color, national origin, religion, sexual orientation, age, marital status, veteran status, disability or any other characteristic protected by applicable law.</p><p></p><p>
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Director, AI Security

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