senior data scientist

data scientist

lead software engineer

software engineer

data engineer

senior data developer

Sainsbury’s

<div><div><h1 class="jobSectionHeader"><b>Senior Data Scientist
</b></h1></div><h4 class="jobSectionHeader"><b>Salary: </b><b>Competitive Plus Benefits</b><br>
<b>Location: </b><b>London Store Support Centre and Home, London, EC1M 6HA
</b><br>
<b>Contract type:
</b><br>
<b>Business area: </b><b>Data &amp; Analytics</b><br>
<b>Closing date: </b><b>07 July 2026</b><br>
<b>Requisition ID: </b><b>400067294</b></h4><p></p><div><div>At Sainsbury&rsquo;s, data sits at the heart of how we operate, innovate and serve our customers. Our Data &amp; Analytics team is building a technically advanced, commercially focused and impactful capability, powering our Next Level Strategy and helping to create a Sainsbury&rsquo;s powered by industry leading AI algorithms. We use data, technology and advanced analytics to drive better decisions across the business, from forecasting and optimisation to experimentation, personalisation and machine learning. With one of the richest retail datasets I n the UK and a portfolio spanning Sainsbury&rsquo;s, Argos, Habitat and Nectar, the opportunity to innovate is huge. Here, you&rsquo;ll tackle complex challenges at scale, create measurable impact and grow quickly alongside brilliant colleagues. People who thrive with us combine business understanding, technical expertise and curiosity, with a natural instinct for problem-solving. Join us and help shape the future of retail through data and AI.
</div></div><div><div><p><b>Senior Data Scientist &ndash; Nectar360</b></p><br>
<p></p>
<p><b>
Location</b></p>
<p>
London &ndash; Farringdon/Home</p>
<p><b>
Reporting to</b></p>
<p>
N360 Data Science Manager</p><br>
<p></p>
<p><b>
What is it?</b></p>
<p>
We&rsquo;re looking for a talented Senior Data Scientist to join Nectar360 &ndash; the team behind Sainsbury&rsquo;s Retail Media offering, and the UK&rsquo;s largest coalition loyalty programme (Nectar), with 24 million members nationwide.</p>
<p>
Our N360 Data Science team builds the systems behind our market-leading Retail Media platform (N360 Pollen), allowing hundreds of suppliers, media agencies and internal teams to set up, customise and measure their marketing campaigns. We develop and continuously improve our cutting-edge measurement capabilities, including multi-channel attribution, uplift estimation, AI-driven targeting and budget optimisation - across instore, onsite and offsite media. Our work enables suppliers to engage with customers every day and maximise the impact of their advertising.</p>
<p>
Based in our new Farringdon office, this role will work closely with decision-makers across Nectar360 and Sainsbury&rsquo;s to continue building innovative solutions for Nectar360, our suppliers and partners, using our incredible data assets, our rich customer understanding, and state of the art machine learning and AI. As one of the senior individual contributors in the team, you&rsquo;ll apply your wealth of experience and ideas to design, build, and improve our capabilities &ndash; driving value for the customer and the business. With a large team of data scientists and analysts across Sainsbury&rsquo;s and millions of known customers, the scale and scope are huge.</p><br>
<p></p>
<p><b>
What you will do</b></p>
<p>
As a Senior Data Scientist, your key responsibilities will include:</p>
<p>
Solve the hard problems</p>
<ul>
<li>Lead on the technical development of algorithms and pipelines that will deliver against our strategic objectives in Nectar360, including our industry-leading marketing measurement solutions.</li>
<li>Develop and enhance modelling and optimisation capabilities, using techniques such as MMMs, causal inference, multi-touch attribution, experimentation Bayesian modeling, unsupervised learning and many others.</li>
<li>Own projects, leading junior colleagues and engaging with stakeholders to define goals and ensure projects deliver impact.</li></ul><br>
<p></p>
<p>
Embody and improve best practice</p>
<ul>
<li>Align to best practice across modelling, experimentation, deployment, and model lifecycle management.</li>
<li>Coach through doing &ndash; pairing on code and demonstrating standards.</li></ul><br>
<p></p>
<p>
Be an enthusiastic member of our community</p>
<ul>
<li>Become the recognised data science technical expert in your team, bringing new ideas for future approaches, including state of the art techniques where appropriate.</li>
<li>Understand how our business really works and how data science can improve customer experience and our offering to 3rd parties.</li>
<li>Actively contribute to our vibrant Data and Analytics community of over 800 colleagues</li></ul><br>
<p></p>
<p><b>
Who you are</b></p>
<p>
We&rsquo;re looking for a highly motivated self-starter &ndash; someone who fixes problems and creates value without micromanagement. You need to know how to balance our need for technical rigour against our need to deliver commercial and customer value.</p>
<p>
Value delivery</p>
<ul>
<li>Extensive experience in Data Science roles in a commercial setting, with evidence of solving complex problems end-to-end.</li>
<li>A record of building systems which run in production, and an understanding of the value these generated.</li>
<li>An ability to understand commercial reality as well as technical rigour, and a pragmatic mindset.</li>
<li>Experience working in an Agile way, and ability to understand the trade-off between immediate value, future value, and technical options.</li>
<li>A strong ability to communicate ideas to audiences of varying technical background and seniority, and present key ideas and insights succinctly.</li>
<li>Independence in proposing and implementing solutions</li></ul><br>
<p></p>
<p>
Data Science expertise</p>
<ul>
<li>Solid grounding and experience in applying statistical modelling and machine learning in commercial settings, with proven experience in some of the following areas: Causal inference, MMMs, Bayesian inference, experimentation, multi-touch attribution, time series modelling.</li>
<li>Ability to select the right technique for a given objective and avoid pitfalls.</li>
<li>Curiosity, scepticism and attention to detail regarding data quality, samples, bias and ethics.</li></ul><br>
<p></p>
<p>
Production-grade design</p>
<ul>
<li>Advanced programming ability in Python and strong ability to use SQL, with a proven experience of developing complex solutions and working with large codebases as part of a team.</li>
<li>Solid understanding of setting up and working with production codebases, version control and CI/CD.</li>
<li>Practical experience working with cloud platforms and MLOps tools to build and maintain production-ready solutions.</li>
<li>Ability to lead technical conversations with Data/ML Engineers.</li></ul><br>
<p></p>
<p>
Development and coaching</p>
<ul>
<li>A strong awareness and understanding of technology trends and direction in Data Science, analytics and AI.</li>
<li>Ability to support in the development, training and mentoring of others</li></ul><br>
<p></p>
<p><b>
Essential Criteria</b></p>
<ul>
<li>Extensive experience in previous Data Science roles in a commercial setting</li>
<li>A record of building systems which run in production</li>
<li>A strong ability to communicate ideas to audiences of varying technical background and seniority</li>
<li>Independence in proposing and implementing solutions</li>
<li>Solid grounding and experience in applying statistical modelling and machine learning in commercial settings</li>
<li>Advanced programming ability in Python and strong ability to use SQL</li>
<li>Solid understanding of working with production codebases, version control and CI/CD.</li></ul><br>
<p></p>
<p><b>
Support we will provide</b></p>
<ul>
<li>A vibrant team to bounce ideas off and to support you with specialised knowledge (technical, stats/data science or business processes)</li>
<li>Mentoring from Data Science Managers</li>
<li>Automation and orchestration support from our integrated engineering and product teams within Nectar360</li>
<li>Technical and non-technical training and regular hackathons, learning days and knowledge sharing sessions.</li></ul><br>
<p></p>
<p>
We are committed to being a truly inclusive retailer so you&rsquo;ll be welcomed whoever you are and wherever you work. Around here, there&rsquo;s always the chance to try something new &mdash; whether that&rsquo;s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we&rsquo;ll also offer you an amazing range of benefits. Please see www.sainsburys.jobs for details.</p><br>
<p></p>
<p>
#DataAndAnalytics</p>
<p>
#DataScience</p>
<p>
#LI-CM1</p>
</div></div><div><div><p>We are committed to being a truly inclusive retailer so you&rsquo;ll be welcomed whoever you are and wherever you work. Around here, there&rsquo;s always the chance to try something new &mdash; whether that&rsquo;s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we&rsquo;ll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 20% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy up to an additional week's holiday, and we provide private healthcare. We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to &pound;10k, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an Employee Assistance Programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks&rsquo; pay for maternity or adoption leave and up to 4 weeks&rsquo; pay for paternity leave. Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply).&quot;</p></div></div></div><p></p>

Senior Data Scientist

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>

Muzz

<div>
 <p>
  <strong>
   London, UK - Hybrid (Tue, Wed &amp; Thur in Office)
  </strong>
 </p>
 <p>
  <strong>
   &pound;80,000 - &pound;90,000 + equity
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re looking for a smart and ambitious data scientist, with real entrepreneurial flair to join our team and understand our members and all the metrics that matter. Love numbers and love being commercial? This role presents an opportunity to mold the future of the data science team, explore new ideas and new technologies.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Muzz is the world&rsquo;s largest Muslim dating and marriage app. We&rsquo;ve got over 15 million members and have helped more than 800,000 couples get married. We&rsquo;re on our way to become the first $1 billion Muslim tech brand - but we need your help!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Day to day
  </strong>
 </p>
 <ul>
  <li>
   You'll be joining a dynamic data science team whose goal is to grow the company and optimize our products as we expand into new markets around the world
  </li>
  <li>
   You'll be understanding our user behaviour on the platform with a view to generating actionable insights in terms of both product and marketing
  </li>
  <li>
   You'll work closely with our product, engineering and growth teams
  </li>
  <li>
   You'll be a proactive self-starter, driving innovation with a product focus
  </li>
  <li>
   You&rsquo;ll be diving into a range of data to solve our highest impact and complex challenges
  </li>
  <li>
   You'll own and evolve the production ML systems behind our personalization and recommendations serving millions of users
  </li>
  <li>
   You'll use AI tools as a core part of how you work and help set how the wider team gets the most out of them
  </li>
  <li>
   You'll raise the bar for the team - mentoring analysts and data scientists, and helping shape our technical standards and roadmap
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   At least 5 years of experience in a Data Scientist or Machine Learning Engineer role
  </li>
  <li>
   Strong Python and SQL knowledge
  </li>
  <li>
   Strong grounding in the statistical methods behind personalization and recommendations models - e.g. embeddings, ranking, collaborative filtering
  </li>
  <li>
   Excellent written and verbal communication skills and presenting to non-technical audiences
  </li>
  <li>
   Commercial mindset with the ability to harness customer insights to optimise our marketing and products
  </li>
  <li>
   Ability to work collaboratively in cross-functional teams
  </li>
  <li>
   Passionate about solving complex and challenging data problems
  </li>
  <li>
   Experience in designing and conducting A/B experiments
  </li>
  <li>
   A proven track record of developing and owning production ML pipelines - including data processing, deployment, monitoring, retraining
  </li>
  <li>
   Demonstrated end-to-end ownership of significant ML projects - from framing the problem to shipping it, and through the messy realities of live performance, edge cases and iteration once real users hit it
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to have
  </strong>
 </p>
 <ul>
  <li>
   Hands-on experience with recommender systems, with real-time or near-real-time updates and serving
  </li>
  <li>
   Experience in consumer-facing mobile-first products
  </li>
  <li>
   Experience with GCP platform - BigQuery/VertexAI
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Network Rail Consulting

<div></div><div><div><p>Network Rail Consulting (NRC) is the international consultancy arm of Network Rail &ndash; the owner and operator of Britain&rsquo;s mainline rail system. We have been active in the North American, Australian and the Middle East markets since 2013 and have successfully delivered more than 150 consultancy contracts for government, public and privately owned organisations.</p>
<p>
In our office based in Waterloo station, we are looking for a Junior Business Intelligence Developer to support the design, development, and maintenance of data systems that transform raw data into meaningful insights. Working under the guidance of senior team members, the role contributes to building data pipelines, reports, and dashboards to support informed business decision-making.</p><br>
<p></p>
<p><b>
Key Accountabilities:</b></p><br>
<p></p>
<div>
<ul><li>Support development of data warehouses, ETL processes, and BI solutions.</li></ul>
<ul><li>Develop and maintain reports and dashboards.</li></ul>
<ul><li>Perform basic data analysis and identify trends.</li></ul>
<ul><li>Assist in data validation and quality assurance.</li></ul>
<ul><li>Collaborate with stakeholders to understand requirements.</li></ul>
<ul><li>Continuously develop technical and analytical skills.</li></ul></div><br>
<p></p>
<p><b>
Job Skills:</b></p>
<ul>
<li>Exposure to BI tools such as Power BI or Tableau.</li>
<li>Working knowledge of SQL and relational databases.</li>
<li>Exposure to ETL concepts and techniques.</li>
<li>Strong analytical and problem-solving skills.</li>
<li>Good communication skills.</li></ul><br>
<p></p>
<p><i>
NRC is an Equal Opportunity Employer. We welcome applications from all qualified candidates regardless of age, race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or veteran status.</i></p>
<p><i>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</i></p></div></div><div></div>

Junior Business Intelligence Developer

monday.com

<div><p>linkAt monday.com, we help teams get more work done. We are the best AI work platform that empowers teams to automate, build, and scale their impact end-to-end with tools that actually execute the work for you. With over $1B in ARR, 250,000+ customers, and a global team, we&rsquo;re serious about building a product people love to use and giving our employees the same ownership and flexibility to shape the way the world works.</p><div></div><p><br>
We care about the impact you make, not the hours you clock, so we encourage initiative, ownership, and fresh thinking. We back our people with flexible work, wellness and mental health support, and a work environment built on collaboration.</p><div></div><p><br>
We are scaling our engineering teams in London and we are looking for experienced Software Engineers. This is an exciting opportunity to shape the future of our Engineering teams here! You'll drive the development of infrastructure features that shape our product's future from UI to database.</p><div></div><p><b><br>
You will join our Data group, which is building a groundbreaking new Data Platform, mondayDB 3.0. This next-generation system is designed to scale our product&rsquo;s capacity by orders of magnitude.</b></p><p>
Explore the future of monday with mondayDB.</p><p>
Dive deeper into the architecture of mondayDB 1.0</p><div></div><p><br>
Check out our Engineering Blog - https://engineering.monday.com/</p><div></div><p><b><br>
Please note this is a hybrid position of 3 days/week in our London office (Fitzrovia).</b><br>
<br>
<b>About The Role:</b></p><ul><li><p>
You'll work with experienced and highly talented engineers who are passionate about what they do, using cutting-edge technologies in a data- and impact-driven environment. We foster a culture of transparency, full ownership, teamwork, and a no-ego policy.</p><p>
Our engineering department consists of multiple groups, each responsible for a critical domain within the monday.com product. With over 350 engineers, we operate in cross-functional teams, collaboratively defining, improving, building, and delivering features.</p><p>
What you will do:</p><ul><li><p>
Play a key in shaping our product architecture and engineering excellence.</p></li><li><p>
Evolve our architecture and engineering practices to support the ever-growing scale of users, features, and data.</p></li><li><p>
Work alongside experienced and highly skilled developers in a CI/CD environment with cutting-edge technologies.</p></li><li><p>
Collaborate closely with Product and Design teams, taking full ownership and responsibility from conception to post-deployment in a fast-paced, dynamic environment.</p></li><li><p>
Tech stack: React.js, Redux, Node.js, Ruby on Rails, AWS, Elasticsearch, Redis, MySQL.</p></li></ul><p><i>
Note: Prior experience with our tech stack is not required; we welcome people willing to learn.</i><br>
<br>
<b>Requirments</b>:
</p></li><li><p>6+ years of experience as a Software Engineer.</p></li><li><p>
Strong technical expertise with a proven track record of building products that people love and use daily.</p></li><li><p>
Full-stack development experience, with a primary focus on backend.</p></li><li><p>
Experience developing large-scale, user-facing web products.</p></li><li><p>
Deep product understanding and a passion for creating software that delivers an exceptional user experience.</p></li><li><p>
Strong team player with excellent communication skills and empathy.</p></li><li><p>
Commitment to quality and simplicity in engineering and product development.</p></li></ul><p></p><p><b>
What </b><b>monday.com</b><b> can offer you:</b></p><ul><li><p>
Opportunity to join a well-funded, publicly listed company with big ambitions and strong growth potential.</p></li><li><p>
Competitive base salary, bonus, and RSUs.</p></li><li><p>
Private healthcare insurance, critical illness, and life insurance coverage.</p></li><li><p>
Pension contributions matched up to 7%.</p></li><li><p>
ClassPass membership.</p></li><li><p>
Buffet breakfast and lunch provided at the office, Monday to Thursday.</p></li><li><p>
Fully dedicated learning and development team that provides opportunities for our employees to hone and gain new skills.
</p></li><li><p>Fun team events, socials and offsites.</p></li><li><p>
Amazing company culture that values transparency and collaboration while never forgetting to have fun while we work! We've been named &quot;Best Place to Work&quot; in the UK.</p></li><li><p>
A global, dynamic and passionate environment with employees in Tel Aviv, New York, San Francisco, Miami, Chicago, Denver, London, Warsaw, Sydney, S&atilde;o Paulo, and Tokyo.</p></li></ul></div>

Senior Software Engineer - Data Platform

Opus Recruitment Solutions

<div>
 <p>
  Freelance: Full‑Stack Developer (Insurance Experience Required)
 </p>
 <p>
  Start Date: 20/07/26
 </p>
 <p>
  Duration: 6 Months (extension highly likely)
 </p>
 <p>
  Location: London (Fully Remote)
 </p>
 <p>
  Capacity: 40 hours per week
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  We&rsquo;re looking for an experienced Full‑Stack Developer with Insurance domain expertise to support the development and scaling of a high‑growth digital platform within the insurance sector.
 </p>
 <p>
  You will work across both frontend and backend layers, collaborating closely with product, design, and engineering teams to deliver robust, scalable, and high‑performance solutions.
 </p>
 <p>
  A key focus of the role will be building modern user interfaces (Vue.js) while contributing to backend services, APIs, and architecture that support complex insurance workflows and data models.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Design, develop, and maintain full‑stack applications across frontend and backend layers.
 </p>
 <p>
  Build modern, responsive frontend applications using Vue.js.
 </p>
 <p>
  Develop and maintain backend services and APIs to support business logic and integrations.
 </p>
 <p>
  Work with insurance-related systems, data structures, and workflows (e.g. policies, claims, underwriting).
 </p>
 <p>
  Collaborate with product managers, designers, and other developers to deliver high‑quality features.
 </p>
 <p>
  Integrate frontend components with backend services and third‑party APIs.
 </p>
 <p>
  Contribute to architectural decisions across the full technology stack.
 </p>
 <p>
  Identify and resolve performance, scalability, and UI/UX issues.
 </p>
 <p>
  Ensure code quality through best practices, testing, and code reviews.
 </p>
 <p>
  Support the continuous improvement of development processes and system reliability.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Strong commercial experience as a Full‑Stack Developer.
 </p>
 <p>
  Proven experience working within the insurance domain (mandatory).
 </p>
 <p>
  Strong frontend expertise with Vue.js (Vue 2 and/or Vue 3). (other frontend technologies feel free to apply)
 </p>
 <p>
  Proficiency in JavaScript and TypeScript.
 </p>
 <p>
  Backend development experience (e.g. Node.js, Java, or similar).
 </p>
 <p>
  Experience designing and consuming RESTful and/or GraphQL APIs.
 </p>
 <p>
  Knowledge of state management (Vuex, Pinia, etc.).
 </p>
 <p>
  Solid understanding of HTML5, CSS3, and responsive design principles.
 </p>
 <p>
  Familiarity with databases (SQL and/or NoSQL).
 </p>
 <p>
  Experience with modern development tools, version control (Git), and CI/CD pipelines.
 </p>
 <p>
  Strong problem-solving skills and ability to work in a distributed team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to Have (Not Required)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Experience with Nuxt.js.
 </p>
 <p>
  Experience with cloud platforms (AWS, GCP, or Azure).
 </p>
 <p>
  Familiarity with insurance platforms or standards (e.g. Guidewire, INSIS, or similar).
 </p>
 <p>
  Exposure to automated testing frameworks (Jest, Cypress, Playwright).
 </p>
 <p>
  Experience working in a fast-paced or scaling environment.
 </p>
 <p>
  Knowledge of microservices architecture or event-driven systems.
 </p>
</div>


Full Stack Engineer

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