[29868] - data analytics engineer - dbt modelling (contract)

senior data scientist

data scientist

data engineer

senior software engineer

[29868] - data analytics engineer - dbt modelling (contract) Jobs in London

senior data analyst

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

marshmallow

<div><p>We&rsquo;re on a mission to make migration easy.</p><p></p><p>
We started building Marshmallow in 2017. Since then, we&rsquo;ve grown from 3 to 700+ people, gained unicorn status, raised ~&pound;140M over three funding rounds, turned profitable, insured millions of drivers and lent millions in car loans.</p><p></p><p>
But we&rsquo;re only just getting started. Our goal is to become one of the largest financial services providers in the world. Over the next 10 years we&rsquo;ll grow exponentially, not only by scaling our existing products, but also by building new ones.</p><p></p><p>
To achieve our goals we need incredibly ambitious, commercially driven people who never settle for &lsquo;good enough&rsquo;. Marshmallowers are hungry for autonomy and ownership, and would rather improve than coast. Everyone raises standards and has an impact, with a focus on collective success over self-interest.</p><p></p><p>
We&rsquo;ve created an environment where curious, tenacious people win and grow together. If that sounds motivating, this could be the place for you.</p><p></p><h1 class="jobSectionHeader"><b>
London (hybrid, 3 days in office)</b></h1><div>
</div><h1 class="jobSectionHeader"><b>
Data Science at Marshmallow</b></h1><p>
Our <b>Data Science team</b> partners across the business to turn data into better decisions, smarter products, and simpler customer journeys. We work closely with Product, Engineering, and Operations to build and ship models and AI systems that are reliable in production and deliver measurable impact.</p><p>
Within Data Science, this role sits in <b>Claims</b>, supporting the function and the broader ambition to automate more of the claims journey. Claims is one of Marshmallow's most important customer touchpoints, and we're looking for a Senior Data Scientist who can provide technical expertise across traditional ML and Generative AI, bring system-level thinking to how we scale decisioning, and confidently challenge proposals to ensure we build robust, sustainable solutions.</p><div><br>
</div><h2 class="jobSectionHeader"><b>
What you'll be doing</b></h2><ul><li><p>
Build and iterate on multimodal AI models that reduce claims cost and improve claims processing, including models that analyse emails, documents, and claim summaries for operational teams</p></li><li><p>
Develop machine learning models that support claims automation, including use cases such as negotiation strategies, litigation strategies, and total loss prediction</p></li><li><p>
Explore and evaluate new data sources that could improve model performance and decision-making, such as fraud signals, open banking, and telematics data</p></li><li><p>
Design and build agentic AI solutions to automate and streamline claims workflows</p></li><li><p>
Collaborate closely with Product, Data, and Engineering teams to test hypotheses, develop new features, and turn ideas into production-ready solutions</p></li><li><p>
Work with the MLOps team to improve data science and AI model infrastructure, including deployment, monitoring, evaluation, and feedback loops</p></li><li><p>
Help define the right technical approach for problems, balancing speed, quality, and scalability while ensuring solutions are practical for the business</p></li><li><p>
Set a strong standard for experimentation, measurement, and model performance, helping the team understand impact, uncertainty, and trade-offs clearly</p></li></ul><h2 class="jobSectionHeader"><b>
Who You Are</b></h2><ul><li><p>
You think in systems: you can connect the dots between data science, engineering, and product to shape scalable solutions that build on each other over time.</p></li><li><p>
You're confident in challenging assumptions and pushing for the right approach, using strong communication skills to influence stakeholders across seniority levels and disciplines with clear, pragmatic reasoning.</p></li><li><p>
You thrive in ambiguity and change, staying resilient and effective during transitions while bringing structure, clarity, and momentum to complex problem spaces.</p></li><li><p>
You're motivated by real-world impact, partnering closely with cross-functional teams to drive meaningful automation and better customer outcomes across the claims journey.</p></li></ul><h2 class="jobSectionHeader"><b>
What You'll Bring</b></h2><ul><li><p>
Strong commercial experience delivering end-to-end machine learning solutions, from problem framing and experimentation through to production deployment and ongoing monitoring</p></li><li><p>
Hands-on experience <b>building and shipping</b> production AI or machine learning systems, including evaluation, quality considerations, and integration into operational workflows</p></li><li><p>
Experience working on applied problems involving structured and unstructured data, with an interest in multimodal modelling and AI systems</p></li><li><p>
A strong statistical and modelling foundation, with experience working on risk-based decisioning or other complex, uncertain problem domains</p></li><li><p>
Proven ability to work cross-functionally with Product, Engineering, Operations, and MLOps to deliver scalable solutions</p></li><li><p>
Strong communication and stakeholder management skills, with confidence in discussing trade-offs and pushing back constructively when needed</p></li></ul><div><br>
</div><h2 class="jobSectionHeader"><b>
Perks of the job</b></h2><ul><li><p>
Bonus scheme designed to reward high performance</p></li><li><p>
Private medical insurance with Vitality, mental health support with Oliva</p></li><li><p>
Personal learning budget and 2 dedicated L&amp;D days a year</p></li><li><p>
Monthly flexible benefits budget to spend as you choose</p></li><li><p>
25 days holiday plus bank holidays</p></li><li><p>
4 weeks Work From Anywhere per year</p></li></ul><div></div><p><b><br>
We are able to offer visa sponsorship for this position.</b></p><div><br>
</div><h2 class="jobSectionHeader"><b>
Our process</b></h2><ul><li><p>
Initial call with a member from our Talent Team (30 mins)</p></li><li><p>
Past Experience interview with Hiring Manager (60 mins)</p></li><li><p>
Technical interview with a couple of the team (90 mins)</p></li><li><p>
Culture interview (60 mins)</p></li></ul><p><b>
Diversity of thought</b></p><p>
We know the best ideas come from having different perspectives in the room - and we're committed to hiring fairly, regardless of background, identity or experience. If you see yourself in this role, we'd encourage you to apply.</p></div>

Senior Data Scientist

Tapestry

<div><p>Explore the possibilities across our global house of brands.<br>
</p><p><br>
Defined by inclusivity rather than exclusivity, Tapestry embraces the exploration of individuality and invests in helping you grow personally and professionally. Every individual in our global house has the opportunity to make an impact, learn and be part of our growing and unique story.<br>
</p><p><br>
At Tapestry, we have the freedom to express ourselves and run with our best ideas across Coach and Kate Spade New York. We share a profound belief in both our individual and collective potential, and know that with hard work and dedication, anything is possible.
</p><p></p><p><b>Primary Purpose: </b>The Senior Manager, Data Analytics applies advanced analytics and data science to fuel growth of Tapestry&rsquo;s EMEAI markets. The focus is shifting from routine reporting to actionable insight, driving adoption of data-based measurement across the organization and championing automation and AI to accelerate decision making and operational efficiency. You will work collaboratively with business partners worldwide to define the right questions, uncover high impact opportunities and translate insights into practical business recommendations that improve revenue, gross margin and customer experience.
</p><p></p><p><b>The successful individual will leverage their proficiency in Data Analytics to:
</b></p><ul><li><p>Centralise data integrity, reporting, tools architecture and training while decentralising insight creation and action. Partner across functions to design data‑driven analysis, strategies and tools
</p></li><li><p>Shift effort from static reporting to insight generation. Build interactive visualisations, dynamic dashboards and standard reports that surface leading‑indicator insights
</p></li><li><p>Perform large‑scale analysis that uncovers high‑impact acquisition drivers, media‑spend efficiency and revenue‑boosting actions; translate results into clear, data‑driven stories
</p></li><li><p>Drive organisation‑wide adoption of data. Measure outcomes, showcase impact and encourage a data‑first mindset for decision‑making.
</p></li><li><p>Embed predictive models, automated reporting and AI‑driven recommendations (e.g., MAP efficiency, allocation optimisation) and champion their use in business processes
</p></li><li><p>Drive adoption of automation &amp; AI. Lead AI/ML pilot projects, demonstrate tangible value and promote scaling of successful models
</p></li><li><p>Collaborate with data‑engineering, data‑science and algorithm teams to innovate data sourcing, management and product solutions
</p></li><li><p>Connect with the Global Data Analytics (DA) team to align reporting standards, share best practices and foster cross‑regional data collaboration
</p></li><li><p>Maintain data integrity, develop reusable analytics tools and provide stakeholder training so teams can rely on accurate self‑service data
</p></li><li><p>Track key operational metrics, measure operational efficiency and drive process improvements that maximise sales, gross margin and improve the site site‑consumer journey &amp; conversion, and focus the organisation on acquisition levers
</p></li></ul><p></p><p><b>The accomplished individual will possess:
</b></p><ul><li><p>5+ years of hands‑on analytics experience within retail, eCommerce, or consulting environments
</p></li><li><p>Advanced SQL and ETL capabilities
</p></li><li><p>Strong data‑visualisation expertise (Tableau or comparable)
</p></li><li><p>Hands‑on experience with Google Analytics and BigQuery
</p></li><li><p>Proficiency in Python or R for analysis and modelling
</p></li><li><p>Proven ability to drive adoption of data‑based measurement and turn metrics into strategic actions
</p></li><li><p>Demonstrated experience championing automation and AI (automated pipelines, predictive models, AI‑assisted tools)
</p></li><li><p>Excellent storytelling, communication, and relationship‑building skills
</p></li><li><p>Track record of translating analytics into revenue‑driving initiatives and improving gross margin
</p></li><li><p>Ability to prioritise dynamically in a fast‑paced, global environment
</p></li><li><p>Bachelor&rsquo;s degree in a quantitative or technical discipline
</p></li><li><p>Experience deploying AI/ML solutions at scale (recommendation engines, demand forecasting, etc.)
</p></li><li><p>Familiarity with automation/orchestration platforms (Airflow, Prefect) and MLOps tooling
</p></li><li><p>Prior success influencing global data‑culture change and promoting data‑centric decision making
</p></li></ul><p></p><p>Please be advised that we are unable to provide visa sponsorship for this position. As such, you will only be considered if you already possess the right to work in the UK.
</p><p></p><p><b>What Tapestry can offer you:
</b></p><ul><li><p>Hybrid working (Tuesday - Thursday working from the office, Monday and Friday working remotely)
</p></li><li><p>Option to finish early on a Friday (Flex Fridays)
</p></li><li><p>1 paid volunteering day per year and opportunities to volunteer with global projects
</p></li><li><p>Learning &amp; development opportunities
</p></li><li><p>Internal mobility &amp; career progression
</p></li><li><p>Regular social events - seasonal &amp; cultural
</p></li><li><p>Equity Inclusion &amp; Diversity initiatives which include employee resource groups &amp; regional inclusion council<br>
</p></li></ul><p><br>
<b>Other benefits include:
</b></p><ul><li><p>25 days holiday in addition to bank holidays
</p></li><li><p>Annual Incentive Plan (company performance bonus)
</p></li><li><p>Multi brand discount up to 50% off &ndash; Coach and Kate Spade.
</p></li><li><p>Private healthcare with health assessment (Bupa)
</p></li><li><p>Bupa rewards - Financial wellbeing support and wellness discounts
</p></li><li><p>Private dental cover
</p></li><li><p>Free 24/7 support for family building, fertility and menopause with Maven
</p></li><li><p>Eyecare vouchers
</p></li><li><p>Employee assistance programme
</p></li><li><p>Enhanced employer pension contribution
</p></li><li><p>Gym discount
</p></li><li><p>Interest free season ticket loan
</p></li><li><p>Cycle to work scheme
</p></li></ul><p></p><p>At Tapestry, we are committed to building a diverse &amp; inclusive workforce. We know that having a wide range of perspectives and experiences makes us more innovative and brings us closer to our consumers. If you are interested in this role but do not believe you meet all the set criteria, that&rsquo;s ok. We are happy to work with individuals who have the drive, passion, agility and willingness to learn. So, take a chance and apply; you may just be who we are looking for. We would be delighted to hear from you.
<br>
<br>
<b>Our Competencies for All Employees
</b><br>
<b>Courage </b>: Doesn&rsquo;t hold back anything that needs to be said; provides current, direct, complete, and &ldquo;actionable&rdquo; positive and corrective feedback to others; lets people know where they stand; faces up to people problems on any person or situation (not including direct reports) quickly and directly; is not afraid to take negative action when necessary.
<br>
<b>Creativity </b>: Comes up with a lot of new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings.
<br>
<b>Customer Focus </b>: Is dedicated to meeting the expectations and requirements of internal and external customers; gets first-hand customer information and uses it for improvements in products and services; acts with customers in mind; establishes and maintains effective relationships with customers and gains their trust and respect.
<br>
<b>Dealing with Ambiguity </b>: Can effectively cope with change; can shift gears comfortably; can decide and act without having the total picture; isn&rsquo;t upset when things are up in the air; doesn&rsquo;t have to finish things before moving on; can comfortably handle risk and uncertainty.
<br>
<b>Drive for Results </b>: Can be counted on to exceed goals successfully; is constantly and consistently one of the top performers; very bottom-line oriented; steadfastly pushes self and others for results.
<br>
<b>Interpersonal Savvy </b>: Relates well to all kinds of people, up, down, and sideways, inside and outside the organization; builds appropriate rapport; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably.
<br>
<b>Learning on the Fly </b>: Learns quickly when facing new problems; a relentless and versatile learner; open to change; analyzes both successes and failures for clues to improvement; experiments and will try anything to find solutions; enjoys the challenge of unfamiliar tasks; quickly grasps the essence and the underlying structure of anything.
<br>
<br>
<b>Our Competencies for All People Managers
</b><br>
<b>Strategic Agility </b>: Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans.
<br>
<b>Developing Direct Reports and Others </b>: Provides challenging and stretching tasks and assignments; holds frequent development discussions; is aware of each person's career goals; constructs compelling development plans and executes them; pushes people to accept developmental moves; will take on those who need help and further development; cooperates with the developmental system in the organization; is a people builder.
<br>
<b>Building Effective Teams </b>: Blends people into teams when needed; creates strong morale and spirit in their team; shares wins and successes; fosters open dialogue; lets people finish and be responsible for their work; defines success in terms of the whole team; creates a feeling of belonging in the team.
</p><p></p><p>Tapestry is an equal opportunity and affirmative action employer and we pride ourselves on hiring and developing the best people. All employment decisions (including recruitment, hiring, promotion, compensation, transfer, training, discipline and termination) are based on the applicant&rsquo;s or employee&rsquo;s qualifications as they relate to the requirements of the position under consideration. These decisions are made without regard to age, sex, sexual orientation, gender identity, genetic characteristics, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military status, pregnancy, or any other legally-recognized protected basis prohibited by applicable law.
<br>
<br>
Visit Tapestry, Inc .</p></div><p></p>

Senior Manager, Data Analytics

Xantura

<div><h3 class="jobSectionHeader"><b>Description</b></h3><div><br>
In this role you will work in the Data &amp; Analytics Consulting team, a client-facing function responsible for the technical configuration and deployment of the OneView platform.<br>
</div><div>You&rsquo;ll work directly with our clients to deliver seamless software implementation, data extraction, data engineering, data science, product configuration and data visualisation. As a multi-skilled technical professional, you&rsquo;ll be capable of independently managing all of these technical aspects of client deployment, as well as supporting the client through the process.<br>
</div><div>You&rsquo;ll collaborate with Business Consultants, who oversee the non-technical elements of delivery, as well as other key teams including Information Governance (privacy and security), Platform Delivery (core product development), and Quality Assurance (testing and validation).</div><br>
<h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><div><br>
<b>
Technical delivery</b><br>
</div><ul><li><b>Data extraction</b> - Support the client&rsquo;s technical team to install IG Bridge, adapt scripts, address quality issues, ultimately leading to clean data extraction</li>
<li><b>Data science</b> - Configure existing predictive models to meet the client&rsquo;s needs, undertake technical scoping for new/iterated predictive models, apply descriptive analytics techniques to extract meaningful insight from client data, build proxy predictive models to demonstrate potential value early on.</li>
<li><b>Cohort building</b> - Build preventative cohorts, test and adapt these with the client to optimise accuracy &amp; efficacy</li>
<li><b>Dashboards</b> &ndash; Design and build/adapt dashboards to meet the client&rsquo;s needs and tell them what they need to know in a clear, intuitive way</li>
<li><b>Platform evolution </b>&ndash; Integrating innovations and evolutions from your clients into the core platform for other clients to benefit from</li>
</ul><div><b>Project management </b>- Scope and project manage all technical aspects of deployment to a client<br>
<br>
<b>Problem solving and storytelling </b>&ndash; Use your technical and analytical skills alongside your deep client understanding, technical expertise and market knowledge to extract interesting key insights from the client data and create compelling stories.<br>
</div><div><b>Communication and stakeholder management - </b>Communicate the technical aspects of delivery to the client simply and clearly, enabling the deployment to be delivered rapidly and smoothly<br>
</div><div><b>Benefits tracking </b>&ndash; Understand what metrics matter to clients and how our platform delivers financial value to them. Build tracking tools and engage the client on them.<br>
</div><div><b>Client upskilling </b>&ndash; Support client counterparts in their technical knowledge and understanding, helping them take on a stewardship function &amp; future configuration<br>
</div><div><b>Collaboration &ndash;</b> Partner with the Business Consulting team to deliver client projects</div><br>
<h3 class="jobSectionHeader"><b>
Skills, Knowledge &amp; Expertise</b></h3><div><br>
We&rsquo;d love to hear from you if you have:<br>
</div><div><b>4+ years&rsquo; experience</b> across data and analytics, including data engineering, data science, and data visualisation:</div><ul>
<li>Proficiency in Python, SQL, and R for data manipulation and querying</li>
<li>Familiarity with relational databases such as SQL Server, Oracle</li>
<li>Understanding of various data formats, including CSV, JSON, and XML</li>
<li>Experience with cloud platforms, particularly Azure or AWS</li>
<li>Strong storytelling and data visualisation skills, including scoping, designing, and delivering engaging client-facing insights using PowerPoint and sustainable dashboards using Power BI and Tableau</li>
<li>Experience with QA processes, including unit, regression and integration testing, and producing high-quality analytical code that is traceable and repeatable</li>
<li>Knowledge and experience of machine learning techniques, including supervised ML, unsupervised ML, and LLMs</li>
<li>Experience with deployment tools and processes, such as Azure Data Factory (ADF), Azure ML and batch processing</li>
<li>Experience using DevOps or equivalent agile development environments</li>
</ul><div><b>4+ years&rsquo; experience</b> leading clients through complex technical projects &mdash; you know how to navigate challenges, keep things on track, hit deadlines, communicate progress and deliver results.<br>
<br>
<b>Sharp analytical skills</b> &mdash; you love digging into data, solving problems, and turning insights into action. You&rsquo;re skilled in statistical analysis, regression, correlation analysis, and exploratory data analysis (EDA)<br>
<br>
Exceptional <b>communication and stakeholder management</b> skills &mdash; you can influence at all levels and translate technical concepts into business value.<br>
<br>
Strong <b>understanding of technology project development and delivery</b>, ideally within a high-growth tech company<br>
</div><div><b>A passion for social impact </b>&ndash; you&rsquo;re excited about what we&rsquo;re doing and driven to help Xantura succeed<br>
</div><div>Bonus Points if you have:<br>
<br>
<b>Experience working with the public sector</b> (local or central government) or as a vendor/consultant to public sector clients<br>
<br>
Familiarity with <b>privacy, security, and information governance</b> in data projects</div><div><br>
<br>
<br>
</div><br>
<h3 class="jobSectionHeader"><b>About Xantura</b></h3><div>
At Xantura, we&rsquo;re on a mission to reduce societal inequality by helping local authorities use data more effectively. Our AI-driven platform empowers frontline workers with the insights they need to prevent complex issues like homelessness or children being taken into care &mdash; before they happen. We make this possible by connecting siloed datasets, applying advanced machine learning to enrich the data, and using predictive analytics to identify those most at risk. Our platform then distills this into clear, actionable insights that help frontline staff intervene early and make a real difference.<br>
<br>
It&rsquo;s an exciting time to join Xantura. We&rsquo;re scaling quickly, bringing on new clients, strengthening our platform, and expanding into new areas. While we&rsquo;re a technology company at heart, our true focus is on improving lives &mdash; and we&rsquo;re looking for people who share that vision.</div></div>

Senior Data & Analytics Consultant

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>
#li-1</p></div>

Director, AI Security

CrowdStrike

<div><p>As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn&rsquo;t changed &mdash; we&rsquo;re here to stop breaches, and we&rsquo;ve redefined modern security with the world&rsquo;s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We&rsquo;re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.</p><p><b><br>
About the Role:</b></p><p>
Does building systems that help security analysts close a critical incident before it becomes a breach excite you? Does correlating and analyzing data at trillions-of-events-per-day scale sound like the kind of challenge you want to wake up to? Do you care deeply about cybersecurity and want to play an active role in helping organizations defend themselves from sophisticated cyberattacks? We'd love to meet you.</p><p></p><p>
We are seeking a Senior Software Engineer, Cloud to join our Threat Detection and Incident Response (TDIR) team, helping revolutionize security management with our AI-native Falcon Next-Gen SIEM platform &ndash; enabling customers to detect, investigate, and hunt down threats 150x faster at Petabyte scale.</p><p></p><p>
You'll design, architect, and develop world-class case management and investigation capabilities in Go, empowering security analysts to be more effective at incident response, threat hunting, and collaborative investigations. You'll build intelligent workflows that connect detections, evidence, and response actions into cohesive cases. Leveraging advanced correlation, contextual enrichment, and AI/ML-powered insights, you'll help security teams work smarter through intelligent threat prioritization, automated investigation suggestions, and agentic analyst workflows &ndash; <i>helping them respond faster to emerging threats.</i></p><p></p><p>
While Go experience is preferred, strong backend engineers from other languages who can demonstrate rapid adaptability and a track record of delivering at scale are welcome to apply. If this is the kind of scale and impact you're looking for, we'd love to hear from you.</p><p></p><p><b>
What You&rsquo;ll do:</b></p><ul><li><p><i>
Own the engineering bar</i>. Drive architectural improvements, set the standard for code quality, and ensure our systems are performant, reliable, and built to last &ndash; not just for today's scale, but for what's next</p></li><li><p>
Lead system design and architecture decisions, including design reviews and RFC processes</p></li><li><p>
Develop Go-based microservices supporting threat detection, case management, and incident response workflows, alongside RESTful APIs that power customer-facing capabilities</p></li><li><p>
Take end-to-end ownership of technical initiatives, both individually and as part of a team, across projects of increasing scope and complexity</p></li><li><p>
Work closely with designers, product managers, and engineers across product groups to understand, design, and implement solutions</p></li><li><p>
Mentor junior and mid-level engineers through pair programming, code reviews, and one-on-one knowledge sharing</p></li><li><p>
Contribute to AI-powered capabilities including LLM integration, agentic workflows, and intelligent analyst tooling</p></li><li><p>
Participate in the on-call rotation and drive improvements that reduce your teams toil and increase system reliability</p></li><li><p>
Operate with a high degree of autonomy &ndash; you'll be trusted to make decisions and drive outcomes</p></li></ul><p></p><p><b>
What You&rsquo;ll Need:</b></p><ul><li><p>
A collaborative team player who lifts those around them (We believe in: <i>One team. One fight</i>!)</p></li><li><p>
8 + years of professional software engineering experience, with 5+ years building and operating distributed systems or cloud-native services at scale in production</p></li><li><p>
Solid understanding of distributed systems, scalability, RESTful patterns, and multithreading concepts</p></li><li><p>
Proficiency building and scaling resilient, low-latency services in production using Go, Python, Java, C++, or C#</p></li><li><p>
Hands-on experience with Docker, Kubernetes, and cloud platforms, preferably AWS or GCP</p></li><li><p>
Strong communicator and collaborator across functions and levels, with a bias for ownership and a customer-first mindset</p></li><li><p>
Proven ability to translate complex and ambiguous business requirements into technical solutions and deliver projects on schedule</p></li><li><p>
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.</p></li></ul><p></p><p><b>
Bonus points:</b></p><ul><li><p>
Currently developing Go-based microservices for scalable, high-throughput architectures</p></li><li><p>
Experience in cybersecurity, SIEM, SOAR, or adjacent security domains</p></li><li><p>
Hands-on experience with LLM integration, prompt engineering, RAG pipelines, or agentic AI frameworks</p></li></ul><p></p><p>
#LI-GO1</p><p>
#LI-HYBRID</p><p></p><p><b>
Benefits of Working at CrowdStrike:
</b></p><ul><li><p>Market leader in compensation and equity awards</p></li><li><p>
Comprehensive physical and mental wellness programs</p></li><li><p>
Competitive vacation and holidays for recharge</p></li><li><p>
Paid parental and adoption leaves</p></li><li><p>
Professional development opportunities for all employees regardless of level or role</p></li><li><p>
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections</p></li><li><p>
Vibrant office culture with world class amenities</p></li><li><p>
Great Place to Work Certified&trade; across the globe
</p></li></ul><p></p><p>CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.</p><p></p><p>
CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions-including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs-on valid job requirements.</p><p></p><p>
If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.</p></div>

Sr. Backend Engineer, Cloud - Threat Detection / Incident Response (Hybrid, London)

Explore 199+ Senior data analyst in London this July. Find roles across top companies and apply now to boost your career.