data engineer

data scientist

senior data scientist

senior data engineer

analytics engineer

junior data analyst

MarketCast

<div>
 
 Junior Data Scientist - Product
 
 
 
 
 London, UK, Reading, UK
 
 
 
 
 Role Impact
 
 
 
 As our Junior Data Scientist - Product, you'll be a pivotal player on our Data Science Product Team, which currently comprises about 15 data scientists with varying levels of seniority.
 
 
 The Junior Data Scientist - Product plays a foundational role in supporting the design, engineering, execution, and delivery of advanced data science projects and market research products at Marketcast. Operating at the intersection of quantitative market research, software engineering, and artificial intelligence, this position focuses on building the backend systems and data pipelines that clean, process, and analyse complex datasets to extract actionable consumer insights. On a daily basis, the Junior Data
 
 
 Scientist assists in writing production-quality code, developing and maintaining data pipelines, implementing machine learning models, and translating analytics into robust, reusable product features under senior guidance. By ensuring high data quality, engineering rigour, and contributing to innovative product features, this individual directly enhances the reliability and scalability of the organisation's media and entertainment analytics.
 
 
 
 We're Looking For
 
 
 
 <ul>
 <li>
 Data Engineering and Pipeline Development &ndash; Design, build, and maintain reliable data pipelines that clean, preprocess, and structure complex quantitative datasets using Python, SQL, pandas, and modern data tooling. This technical processing is performed systematically and reproducibly, with an emphasis on well- structured, version-controlled, and testable code to prepare raw survey and consumer data for downstream statistical models. Ensuring clean inputs and resilient pipelines directly prevents model drift and maintains the reliability of product outputs. Success in this responsibility is defined by the timely delivery of error-free, analytical-ready, and maintainable data pipelines to senior data scientists.
 </li>
 <li>
 Quantitative Analysis &amp; Modelling - Assist in executing statistical analyses, regression modelling, and audience segmentation under the guidance of senior team members, with a strong emphasis on mathematical rigour and a sound understanding of the methods being applied rather than their black-box use.
 </li>
 <li>
 Backend &amp; Software Development - Contribute to the backend services, APIs, and codebases that power our data products, writing clean, tested, and well-documented code under senior guidance. The analyst works within standard software engineering practices - version control, code review, automated testing, and CI/CD - to ship features that are reliable and maintainable rather than one-off scripts. This software-first approach ensures our analytical work translates into durable product infrastructure. Success is measured by code quality, adherence to engineering standards, and the stability of contributions in production.
 </li>
 <li>
 Infrastructure &amp; Deployment - Support the deployment, monitoring, and scaling of data science workloads across our cloud and infrastructure stack (e.g. containers, orchestration, and managed cloud services) under supervision. The analyst helps operationalise models and pipelines so they run reliably and cost-effectively at scale, contributing to the team's MLOps and engineering practices. This focus on robust infrastructure reduces manual intervention and improves the reliability of our products. Performance is evaluated on the stability, reproducibility, and efficiency of deployed workloads.
 </li>
 <li>
 AI &amp; LLM Integration - Support the integration of artificial intelligence APIs, large language models (LLMs), and natural language processing pipelines into existing data products. Under supervision, the analyst helps configure frameworks to streamline analytical workflows, saving dozens of hours of manual coding on client projects. Performance is evaluated on the efficiency, robustness, and classification accuracy of the automated NLP routines.
 </li>
 <li>
 Data Quality &amp; Validation - Execute rigorous quality control protocols across all assigned data products and research databases, including automated tests and validation checks wherever possible. The Junior Data Scientists systematically validate schemas, sample distributions, and statistical weights to verify data integrity, treating data validation as an engineering discipline. This preventative auditing mitigates the risk of reporting flawed conclusions to high-profile entertainment clients. Successful execution is measured by the complete absence of formatting or calculation errors in final delivery files.
 </li>
 <li>
 Client Collaboration &amp; Technical Delivery &ndash; Work closely with product managers, engineers, and senior data scientists in a collaborative, software-development style &ndash; gather requirements, contributing to technical scoping, and participating in agile ceremonies and code reviews.
 </li>
 <li>
 Cross-Functional Initiative Support - Participate actively in company-wide product development initiatives, research-on-research experiments, and technical thought leadership groups. The Junior Data Scientist collaborates across data operations, cloud engineering, product, and engineering departments to support the trial of new analytical and engineering methodologies. This cross-pollination of ideas ensures the product data science team remains at the forefront of marketing science and technical innovations. Engagement in these initiatives is demonstrated by active participation in internal sharing sessions and support for pilot projects.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 We genuinely don&rsquo;t mind what is written on your certificate. While we would love you to have a formal qualification in any discipline that builds strong analytical and problem-solving skills, we primarily care that you're clever, rigorous, and can do the job. Equivalent practical experience - whether self-taught, through bootcamps, open-source contributions, a strong portfolio, or prior industry work - is just as welcome as a formal degree.
 </li>
 <li>
 A successful applicant must demonstrate solid programming ability (Python and ideally SQL) and an interest in writing good, maintainable software - not just scripts.
 </li>
 <li>
 A successful applicant must further demonstrate a genuine appetite for technical depth, mathematical rigour, and continuous learning.
 
 
 </li>
 </ul>
 
 Who We Are
 
 
 
 MarketCast measures what moves people. Powered by AI, trained on decades of verified consumer response data, and backed by proprietary technology, MarketCast is the marketing effectiveness partner for the world's most ambitious brands, connecting emotional resonance to real-world business outcomes across advertising, sponsorships, content, brand health, and advanced analytics. With category-deep expertise spanning sports, entertainment, travel, automotive, and consumer brands, our team of
 
 
 seasoned industry strategists brings unmatched human intelligence to every engagement, turning complex data into decisive action so brands know exactly what's working, why it's working, and what to do next.
 
 
 At MarketCast, we don't just accept difference - we embrace it, support it, and thrive on it for the benefit of our global culture and success. MarketCast is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know. Check us out on LinkedIn and at: www.marketcast.com
 
 
 
 Our Values
 
 
 
 
 Move The Needle
 
 
 
 We turn insight into action and action into impact, acting with urgency and intention at every level, anticipating what's needed, executing with discipline, and driving outcomes that are measured and meaningful.
 
 
 
 Client Success is Our Scoreboard
 
 
 
 We win when our clients win. Delivering scaled, tech-enabled solutions that drive measurable impact and value to build lasting partnerships.
 
 
 
 Grow Every Day
 
 
 
 Expertise is earned continuously by investing in our craft, our colleagues, and our company.
 
 
 
 Own It
 
 
 
 Take responsibility for outcomes, not just outputs.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Free movie tickets!
 </li>
 <li>
 29 days annual leave PLUS Bank Holidays
 </li>
 <li>
 Flextime with core hours between 10am and 3pm
 </li>
 <li>
 2 days&rsquo; work from home per week
 </li>
 <li>
 4% match pension scheme
 </li>
 <li>
 Enhanced maternity pay
 </li>
 <li>
 Regular social events in both UK locations
 </li>
 <li>
 Professional growth and career development including LinkedIn Learning
 
 
 </li>
 </ul>
 In addition to your salary, MarketCast believes in providing a competitive total rewards package for its employees. All benefits are subject to eligibility requirements, and the terms of our official plan may be modified or amended from time to time.
 
 
 GENERAL DATA PROTECTION REGULATION (UK GDPR) NOTICE: The organisation collects and processes personal data relating to its applicants, employees and former employees to manage pre-employment and employment relationships and post-employment obligations. The organisation is committed to being transparent about how it collects and uses that data and to meeting its data protection obligations. For further information on the information we collect, how it&rsquo;s used, and how it's protected, please contact the MarketCast UK HR Team.
</div>

Junior Data Scientist I

Cushman & Wakefield

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

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

Junior Analytics Engineer

<div>
 
 Your role
 
 
 
 Are you passionate about AI/ML, programming, and automation? Do you have technical expertise in design, software development, and modeling? Do you aspire to develop the next generation of AI business applications?
 
 
 As a Data Scientist, you will collaborate with our data science and business teams to build state-of-the-art models, and perform exploratory analysis on new and existing data to identify, investigate, and solve challenges. You should be comfortable applying a variety of techniques to find the best results and capable of researching new methods to trial. You will work closely within a small team where collaboration is key to achieving our common goals.
 
 
 <ul>
 <li>
 Collaborate with the business to assess opportunities for AI/data analytics technologies and maximize their value/impact for our clients.
 </li>
 <li>
 Support the design of AI/data analytics solution architecture and work with stakeholders to develop implementation roadmaps.
 </li>
 <li>
 Support AI/data analytics solution implementation and deployment.
 </li>
 <li>
 Develop, maintain, and deploy LLM, machine learning, and natural language processing pipelines and models with high performance, quality, and stability.
 </li>
 <li>
 Partner with the business to integrate AI and machine learning solutions across various strategic platforms. Models may span across a variety of domains, including but not limited to: LLM-based agentic AI architectures, natural language processing (e.g., document classification, named entity recognition, topic modeling, advanced and semantic information search, extraction), data analytics (predictive modeling, time-series analytics, pattern recognition, recommendation engines), computer vision (OCR), and voice recognition (speech-to-text).
 </li>
 <li>
 Research and build POCs for new and innovative AI solutions and technologies.
 
 
 </li>
 </ul>
 
 Job Type
 
 
 
 Full Time
 
 
 
 Job Reference #
 
 
 
 336118BR
 
 
 
 City
 
 
 
 London
 
 
 
 Your team
 
 
 
 You&rsquo;ll be working in the IB AI Center of Excellence team in London, focusing on building AI products across the Investment Bank. The AI solutions we build support our colleagues in working more efficiently, reducing the risks we face as a bank, and generating more revenues. Moreover, our products ensure that our clients receive timely and personalized content. As a Data Scientist, you&rsquo;ll play an important role in shaping the AI landscape within the IB.
 
 
 Diversity helps us grow together. That&rsquo;s why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.
 
 
 
 Your expertise
 
 
 
 <ul>
 <li>
 Master's degree or higher in a quantitative / scientific field or equivalent work experience
 </li>
 <li>
 Experience in designing and developing enterprise-scale AI and NLP solutions in the areas of Named Entity Recognition, Document Classification, Document Summarization, Topic Modeling, Sentiment Analysis, and OCR text processing.
 </li>
 <li>
 Experience building ML &amp; NLP solutions using common ML libraries and frameworks, including Pandas, Sklearn, TensorFlow, SparkML, Pytorch, etc.
 </li>
 <li>
 Skilled in end-to-end development of ML/NLP models (supervised &amp; unsupervised), including data cleaning, pipeline creation for structured/unstructured data, feature engineering, model selection/ensembles, evaluation metrics, visualization, and advanced statistical modeling (regression, spatial, time series).
 </li>
 <li>
 Ideally 2+ years of programming experience in one or more of the following: Python, R, Scala, C/C++, Matlab, SQL/Postgres, etc. Knowledge of CI/CD pipelines, Git, and GitHub/GitLab.
 </li>
 <li>
 Familiarity with Agentic AI frameworks such as LangGraph, AutoGen, etc is a plus
 </li>
 <li>
 Experience working in project-based teams, collaborating with colleagues, interacting with stakeholders, working to deadlines, and delivering projects that solve specific business problems.
 </li>
 <li>
 You&rsquo;re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment &ndash; validating outputs and aligning with policies, risk standards, and ethical use.
 
 
 </li>
 </ul>
 
 About Us
 
 
 UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
 
 
 We know that great work is never done alone. That&rsquo;s why we place collaboration at the heart of everything we do. Because together, we&rsquo;re more than ourselves. Want to find out more? Visit ubs.com/careers.
 
 
 
 Join us
 
 
 
 At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We&rsquo;re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That&rsquo;s why collaboration is at the heart of everything we do. Because together, we&rsquo;re more than ourselves.
 
 
 We&rsquo;re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
 
 
 
 Disclaimer / Policy statements
 
 
 
 UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
</div>

Junior Data Scientist

<div><div><div><div>United Kingdom</div>
</div><div><div>Business management, administration and support
</div></div><div><div>Investment Bank
</div></div><div>Job Reference #
<div>336118BR</div>
</div><div>City
<div>London</div>
</div><div>Job Type
<div>Full Time
</div></div><div>Your role
<div>Are you passionate about AI/ML, programming, and automation? Do you have technical expertise in design, software development, and modeling? Do you aspire to develop the next generation of AI business applications? 
 
As a Data Scientist, you will collaborate with our data science and business teams to build state-of-the-art models, and perform exploratory analysis on new and existing data to identify, investigate, and solve challenges. You should be comfortable applying a variety of techniques to find the best results and capable of researching new methods to trial. You will work closely within a small team where collaboration is key to achieving our common goals. 
 
<ul><li>Collaborate with the business to assess opportunities for AI/data analytics technologies and maximize their value/impact for our clients.</li><li>Support the design of AI/data analytics solution architecture and work with stakeholders to develop implementation roadmaps.</li><li>Support AI/data analytics solution implementation and deployment.</li><li>Develop, maintain, and deploy LLM, machine learning, and natural language processing pipelines and models with high performance, quality, and stability.</li><li>Partner with the business to integrate AI and machine learning solutions across various strategic platforms. Models may span across a variety of domains, including but not limited to: LLM-based agentic AI architectures, natural language processing (e.g., document classification, named entity recognition, topic modeling, advanced and semantic information search, extraction), data analytics (predictive modeling, time-series analytics, pattern recognition, recommendation engines), computer vision (OCR), and voice recognition (speech-to-text).</li><li>Research and build POCs for new and innovative AI solutions and technologies.</li></ul></div>
</div><div>Your team
<div>You&rsquo;ll be working in the IB AI Center of Excellence team in London, focusing on building AI products across the Investment Bank. The AI solutions we build support our colleagues in working more efficiently, reducing the risks we face as a bank, and generating more revenues. Moreover, our products ensure that our clients receive timely and personalized content. As a Data Scientist, you&rsquo;ll play an important role in shaping the AI landscape within the IB. 
 
Diversity helps us grow together. That&rsquo;s why we are committed to fostering and advancing diversity, equity, and inclusion. It strengthens our business and brings value to our clients.</div>
</div><div>Your expertise
<ul><li>Master's degree or higher in a quantitative / scientific field or equivalent work experience</li><li>Experience in designing and developing enterprise-scale AI and NLP solutions in the areas of Named Entity Recognition, Document Classification, Document Summarization, Topic Modeling, Sentiment Analysis, and OCR text processing.</li><li>Experience building ML &amp; NLP solutions using common ML libraries and frameworks, including Pandas, Sklearn, TensorFlow, SparkML, Pytorch, etc.</li><li>Skilled in end-to-end development of ML/NLP models (supervised &amp; unsupervised), including data cleaning, pipeline creation for structured/unstructured data, feature engineering, model selection/ensembles, evaluation metrics, visualization, and advanced statistical modeling (regression, spatial, time series).</li><li>Ideally 2+ years of programming experience in one or more of the following: Python, R, Scala, C/C++, Matlab, SQL/Postgres, etc. Knowledge of CI/CD pipelines, Git, and GitHub/GitLab.</li><li>Familiarity with Agentic AI frameworks such as LangGraph, AutoGen, etc is a plus</li><li>Experience working in project-based teams, collaborating with colleagues, interacting with stakeholders, working to deadlines, and delivering projects that solve specific business problems.</li><li>You&rsquo;re curious to explore how AI can improve how we build, deliver, and optimize workflows. You do this with sound judgment &ndash; validating outputs and aligning with policies, risk standards, and ethical use.</li></ul>
</div><div>About us
<div>UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe. 
We know that great work is never done alone. That&rsquo;s why we place collaboration at the heart of everything we do. Because together, we&rsquo;re more than ourselves. Want to find out more? Visit ubs.com/careers.</div>
</div><div>Join us
<div>At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We&rsquo;re dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That&rsquo;s why collaboration is at the heart of everything we do. Because together, we&rsquo;re more than ourselves. 
We&rsquo;re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.</div>
</div><div>Disclaimer / Policy statements
<div>UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.</div></div></div></div><div></div>

Brainlabs

<div><div>Brainlabs is the media agency built to answer one question: what's actually driving profit? Founded in 2012 by Daniel Gilbert, we were built by engineers before we were a media agency. Today, 1,000+ Brainlabbers across five continents use our proprietary agents, built on 32 media tools and over 2,500 logged experiments, to help brands connect every channel they plan and buy to one thing: the bottom line.</div>
As the Manager, Data Science, you will support the delivery of Google Meridian MMM projects and other data science engagements for Brainlabs clients, working closely with the Director of Data Science to produce technically rigorous, clearly communicated outputs. You are responsible for the quality of your own modelling work and for helping clients understand what the analysis means for their media decisions. This is a role for a data scientist who is strong on the technical fundamentals, curious about how marketing data can drive better business decisions, and developing the skills to communicate complex ideas clearly.
<h3 class="jobSectionHeader">
What you do</h3>
<ul><li>Support MMM Project Delivery: You contribute to the delivery of Google Meridian and other MMM projects, owning specific workstreams including data preparation, model runs, and scenario analysis under the direction of the Director of Data Science.</li>
<li>Deliver Other Modelling Projects: You support and independently deliver a range of data science engagements, applying statistical and analytical skills to real client problems with a focus on accuracy and clear interpretation.</li>
<li>Translate Outputs Into Insight: You take model outputs and draft clear, accessible summaries and narratives that connect findings to media budget decisions, ready for review and client presentation.</li>
<li>Apply AI to Data Science Workflows: You use Claude and other AI tools as a standard part of your workflow, finding practical ways to accelerate code development, documentation, and output communication.</li>
<li>Contribute to Practice Development: You support the development of Brainlabs' data science capability through documentation, process improvement, and sharing what you learn across the team.</li>
</ul><h3 class="jobSectionHeader">Who you are</h3>
<ul><li>A Rigorous and Curious Data Scientist: You have hands-on experience with Marketing Mix Modelling or related statistical modelling, including working knowledge of Meridian, Robyn, and/or PyMC, and you care deeply about getting the analysis right &mdash; not just delivering an output.</li>
<li>Technically Proficient: You are experienced in Python and comfortable working with GCP, with a solid understanding of Bayesian statistics and marketing attribution concepts.</li>
<li>A Practical AI User: You use AI tools in your day-to-day work, with a habit of exploring how they can improve your outputs or speed up your workflow.</li>
<li>Developing as a Communicator: You are building your ability to explain technical concepts clearly to non-technical audiences, and take feedback on how to make your outputs more accessible.</li>
<li>Detail-Oriented: You take pride in the accuracy and rigour of your work, and apply a consistent quality check to everything you deliver.</li>
<li>Curious and Motivated: You are genuinely interested in the intersection of data science and marketing effectiveness, and proactively develop your skills beyond what the immediate job requires.</li>
</ul><h3 class="jobSectionHeader">How you succeed</h3>
<ul><li>Modelling Quality: The workstreams you own within MMM and other projects meet the quality standard set by the Director, with outputs that are accurate, well-documented, and reproducible.</li>
<li>Clear Output Communication: The summaries and narratives you draft require minimal revision before client presentation, and you can explain your methodology clearly when asked.</li>
<li>AI Adoption: You can demonstrate at least one documented AI application per month that improved your workflow or the quality of your output.</li>
<li>Delivery Reliability: You hit agreed deadlines on your workstreams and raise risks early when timelines are at risk.</li>
<li>Practice Contribution: You contribute at least one improvement or piece of documentation to the data science team each quarter, evidenced by adoption or feedback from the Director.</li>
</ul><div>
What happens next?

We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you.

Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know!

Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area.</div></div>

Junior Manager, Data Science

Few&Far

<div>
 
 🚨
 
 Senior Data Engineer | Outside IR35 Contract | Up to &pound;525/day | London (1 day onsite)
 
 🚨
 
 
 
 
 
 I'm working with a growing business that's looking for a Senior Data Engineer to join on an initial 6-12 month contract.
 
 
 
 
 
 💰
 
 Up to &pound;525 per day
 
 
 
 📍
 
 London - 1 day per week onsite
 
 
 
 📄
 
 Outside IR35
 
 
 
 ⚡
 
 1-stage interview process
 
 
 
 
 
 
 This is a fantastic opportunity to play a key role in modernising a cloud-based data platform while helping to future-proof the company's infrastructure and mentoring junior engineers as they continue to develop.
 
 
 
 
 
 You'll be working on:
 
 
 ✅ Modernising data lake &amp; data warehouse architecture
 
 
 ✅ Designing, building and optimising ETL/ELT pipelines
 
 
 ✅ Deploying and supporting production ML systems, including forecasting models, LLM-powered and agentic workflows
 
 
 ✅ Enhancing an AWS-native data platform (S3, Redshift, RDS, Athena, SageMaker &amp; Lambda)
 
 
 ✅ Writing high-performance SQL and production-quality Python
 
 
 ✅ Improving platform reliability, monitoring and CI/CD
 
 
 ✅ Collaborating with stakeholders to deliver scalable data solutions
 
 
 ✅ Mentoring junior engineers through code reviews and best practices
 
 
 
 
 
 
 Tech Stack:
 
 
 
 ☁️ AWS
 
 
 🐍 Python
 
 
 🗄️ SQL
 
 
 🔄 Airflow (AWS)
 
 
 📊 Looker (nice to have)
 
 
 
 
 
 I'm keen to speak with Data Engineers who have:
 
 
 ✔️ Strong experience building production-grade data pipelines
 
 
 ✔️ Advanced SQL and Python skills
 
 
 ✔️ Experience deploying and supporting ML models in production
 
 
 ✔️ AWS cloud experience and a solid understanding of DevOps/platform engineering
 
 
 
 
 
 If you're available soon or know someone who could be a great fit, please apply below or share this job post!
 
</div>

Senior Data Engineer

Checkout.com

<div>Company Description
We&rsquo;re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we&rsquo;re behind many of the digital experiences you use every day.
 
 
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
 
 
Whether you want to book a holiday, order food, renew a subscription, or check out online, there&rsquo;s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
 
 
If you want to do career-defining work, you&rsquo;ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
 
 
With 20 offices across six continents and London as our HQ, we&rsquo;re shaping the future of fintech &ndash; and we&rsquo;re just getting started.<h1 class="jobSectionHeader">
The Role</h1>
As an Information Security Analyst II at Checkout.com, you will work across the full breadth of the information security function, spanning Governance, Risk and Compliance (GRC), AI Governance, Application Security (AppSec), Technology Risk, and Data Governance. This is a role for someone who has built solid foundational expertise and is ready to take independent ownership of security initiatives across multiple domains.
Security at Checkout operates at scale and at pace. We are a global payments business, regulated across multiple jurisdictions, building infrastructure that processes billions of transactions. Our security function needs analysts who can think across domains, communicate with engineers and executives alike, and contribute to a security programme that is genuinely embedded in how the business operates.
At L3 you will manage security programmes, lead assessments, drive policy improvements, and mentor junior colleagues. Your primary focus is independent execution with growing influence. You know your domains well enough to spot gaps, propose solutions, and take them through to completion. 
 
How You'll Make an Impact<h2 class="jobSectionHeader"> 
Governance, Risk and Compliance</h2><ul><li>
Support workstreams within Checkout's GRC programme, including ISO 27001, SOC 2, and relevant regulatory obligations across our global licensed entities.</li><li>
Coordinate control evidence collection activities across internal teams, ensuring continuous audit readiness rather than point-in-time preparation.</li><li>
Maintain and improve GRC documentation including policies, standards, procedures, and control matrices, ensuring they stay current and proportionate to Checkout's evolving risk profile.</li><li>
Monitor the risk register, track remediation activity against agreed timelines, and escalate issues where commitments are at risk.</li><li>
Conduct third-party risk assessments, evaluating supplier security controls and compliance posture in line with Checkout's TPRM framework.</li><li>
Track regulatory change across Checkout's operating markets including DORA, FCA/PRA requirements, and payment scheme obligations, flagging gaps and supporting impact assessments.</li></ul><h2 class="jobSectionHeader">
AI Governance</h2><ul><li>
Support the development and operationalisation of Checkout's AI governance framework, aligned to ISO 42001, the EU AI Act, and NIST AI RMF.</li><li>
Conduct AI risk assessments for internal AI and ML systems and third-party AI tools, evaluating bias, transparency, data lineage, and control adequacy.</li><li>
Maintain an inventory of AI use cases and associated risk classifications, working with product and engineering teams to embed governance requirements at the point of design.</li><li>
Monitor the evolving regulatory landscape for AI in financial services and contribute to policy and control development that keeps Checkout ahead of emerging obligations.</li><li>
Support Checkout's AI Security programme including threat modelling for agentic and LLM-based systems, and controls mapping against the OWASP LLM Top 10 and related frameworks.</li></ul><h2 class="jobSectionHeader">
Technology Risk</h2><ul><li>
Conduct technology risk assessments across infrastructure, cloud environments, and third-party systems, producing clear outputs with actionable treatment recommendations.</li><li>
Support third-party risk management activities, evaluating supplier security controls and compliance posture in line with Checkout's vendor risk framework.</li><li>
Contribute to control assurance activities including vulnerability scanning coordination, firewall and configuration reviews, and access control assessments.</li><li>
Monitor Checkout's technology risk landscape, identifying emerging threats and translating them into actionable risk items for the register and leadership reporting.</li><li>
Support DORA-related ICT risk management obligations, contributing to resilience testing coordination and critical third-party risk assessments.</li></ul><h2 class="jobSectionHeader">
Data Governance</h2><ul><li>
Support Checkout's data governance programme, including data classification, data flow mapping, and enforcement of data handling standards across the business.</li><li>
Contribute to data loss prevention (DLP) controls and tooling, working with engineering and product teams to ensure sensitive data is protected throughout its lifecycle.</li><li>
Assist in maintaining records of processing activities (RoPA) and supporting data protection impact assessments (DPIAs) for new systems and processing activities.</li><li>
Work with the privacy and legal functions to ensure data governance controls meet GDPR, UK GDPR, and applicable regional data protection requirements.</li><li>
Promote data governance awareness and good data handling practices across the business, contributing to training and guidance materials for non-technical teams.</li></ul><h2 class="jobSectionHeader">
Cross-domain Collaboration and Mentoring</h2><ul><li>
Work closely with Engineering, Product, Legal, Procurement, Finance, and Compliance teams to embed security requirements into processes, systems, and projects across all five domains.</li><li>
Respond to security due diligence requests from merchants, partners, and regulators, drawing on multi-domain expertise to provide accurate and comprehensive responses.</li><li>
Provide guidance and day-to-day support to junior analysts (L1 and L2), contributing to their development through knowledge sharing and review.</li><li>
Contribute to the continuous improvement of Checkout's security processes, identifying inefficiencies and proposing practical solutions including automation where viable.</li></ul><h1 class="jobSectionHeader">
What We're Looking For 
</h1><h2 class="jobSectionHeader">
Experience</h2><ul><li>
2 to 4 years of experience in information security, IT audit, or a closely related function, ideally within payments, financial services, or fintech.</li><li>
Demonstrated working knowledge across more than one of the following domains: GRC, AI governance, AppSec, technology risk, or data governance. Depth in one or two with credible breadth across the others is the target profile.</li><li>
Practical experience with one or more major compliance frameworks: PCI DSS (v4.0.1 preferred), ISO 27001, SOC 2, DORA, NIST CSF, or equivalent.</li><li>
Experience supporting or managing external audits, assessments, or regulatory engagements including evidence collation and assessor liaison.</li><li>
Demonstrated ability to own a workstream independently, from scoping through to delivery, without requiring constant direction.</li></ul><h2 class="jobSectionHeader">
Skills and Approach</h2><ul><li>
Strong analytical and process-oriented mindset. You look for root causes and systemic fixes, not just point-in-time remediation.</li><li>
Clear written and verbal communication. You can translate security concepts for technical teams and business stakeholders with equal clarity.</li><li>
Comfortable operating with ambiguity across a complex domain landscape. You can prioritise without perfect information.</li><li>
Collaborative and pragmatic. You understand that security must work with the business and that influence matters as much as expertise.</li><li>
Methodical and well-organised, with a track record of delivering on commitments across concurrent workstreams.</li></ul><h2 class="jobSectionHeader">
Preferred</h2><ul><li>
Relevant certification in one or more domains: CISA, CISM, CISSP, PCIP, ISO 27001 Lead Implementer or Auditor, Certified AppSec Practitioner (CAP), or equivalent.</li><li>
Familiarity with cloud environments (AWS, Azure, GCP) from a security or compliance perspective.</li><li>
Exposure to AI and ML systems from a risk, governance, or security perspective.</li><li>
Experience with security or GRC tooling such as Wiz, Qualys, Microsoft Sentinel, ServiceNow GRC, or similar.</li><li>
Understanding of agentic AI and LLM security risks including OWASP LLM Top 10, prompt injection, and data exfiltration vectors.</li></ul><h2 class="jobSectionHeader">
Hybrid Working Model</h2>
All of our offices globally are onsite three times per week (Tuesday, Wednesday, and Thursday). We've worked towards enabling teams to work collaboratively in the same space while also being able to partner with colleagues globally. During your days at the office, we offer great snacks, breakfast, and lunch options in all of our locations. 
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you&rsquo;ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It&rsquo;s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you&rsquo;re ready to grow and make a difference, you&rsquo;ll be right at home here.
It&rsquo;s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it&rsquo;s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram</div>

Information Security Analyst II

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