lead software engineer

platform engineer

senior data scientist

software engineer

ai engineer

data engineer

Route B

<p>IT equipment installation and cabling in a hospitality environment.</p><p>The job is based in central London.</p><p>Must be reliable and available to work this week.</p><p>Job Type: Freelance</p><p>Pay: &pound;150.00 per day</p><p>Benefits:</p><ul><li>Free or subsidised travel</li></ul><p>Willingness to travel:</p><ul><li>100% (required)</li></ul><p>Work Location: In person</p>

Data Cabling Engineer

Capgemini

<div><div><div><div><p><b>About the Job you are considering:</b></p>
<p>We are looking for an experienced AWS Databricks Engineer with strong hands-on expertise in Databricks, AWS cloud services, PySpark, Spark SQL, Delta Lake, Python, SQL, and data engineering. The candidate will be responsible for designing, developing, optimizing, and supporting scalable data pipelines and Lakehouse solutions for a banking client.</p>
<p>The ideal candidate should have strong experience in building enterprise-grade data platforms, processing large volumes of structured and semi-structured data, and implementing secure, reliable, and high-performance data pipelines in AWS-based environments.</p>
<p><b>Hybrid working:</b></p>
<p>The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.</p>
<p><b>Your Role:</b></p>
<ul><li>Define end-to-end data architecture for Azure-based data platforms using Azure Databricks, Azure Data Factory, ADLS Gen2, Delta Lake, Azure Synapse, and Power BI.</li>
<li>Design scalable and secure lakehouse architecture using bronze, silver, and gold data layers.</li>
<li>Lead architecture and design for data ingestion, transformation, curation, data marts, reporting, and analytics solutions.</li>
<li>Create high-level and low-level data architecture documents, data flow diagrams, integration architecture, and data platform blueprints.</li>
<li>Define architecture patterns for batch, incremental, real-time, and API-based data ingestion.</li>
<li>Design reusable data ingestion and transformation frameworks using ADF and Databricks.</li>
<li>Define data models for London Market Insurance data including policy, claims, premium, broker, bordereaux, delegated authority, reinsurance, exposure, and regulatory reporting data.</li>
<li>Work with business analysts and insurance SMEs to understand London Market business processes and translate requirements into data architecture.</li>
<li>Define standards for data modelling, source-to-target mapping, data quality, reconciliation, metadata, lineage, and auditability.</li>
<li>Design data governance, security, access control, and compliance frameworks for insurance data.</li>
<li>Support cloud migration, data warehouse modernisation, reporting transformation, and legacy system decommissioning initiatives.</li>
<li>Review technical designs, data models, ETL/ELT pipelines, and engineering implementation.</li>
<li>Provide architectural guidance to data engineers working on Azure Databricks, ADF, PySpark, SQL, and Delta Lake.</li>
<li>Collaborate with enterprise architecture, solution architecture, security, infrastructure, DevOps, and business teams.</li>
<li>Define CI/CD, DevOps, deployment, monitoring, and operational support architecture for data platforms.</li>
<li>Identify performance, scalability, reliability, and cost optimisation opportunities across Azure data services.</li>
<li>Support governance forums, architecture review boards, design authority meetings, and client stakeholder workshops.</li>
</ul><p><b>Your Skills:</b></p>
<ul><li>Strong hands-on experience with Databricks on AWS.</li>
<li>Strong experience with Apache Spark / PySpark.</li>
<li>Excellent programming skills in Python.</li>
<li>Strong SQL skills including complex queries, joins, CTEs, window functions, and query optimization.</li>
<li>AWS Secrets Manager &ndash; Secure secrets and credential management.</li>
<li>Amazon CloudWatch &ndash; Monitoring, logging, and alerting.</li>
<li>AWS Step Functions &ndash; Workflow orchestration, if applicable.</li>
<li>Amazon RDS / Aurora / Redshift &ndash; Source or target databases, where applicable.</li>
<li>Develop and maintain Databricks notebooks, workflows, jobs, and libraries.</li>
<li>Build reusable PySpark frameworks for ingestion, transformation, and data validation.</li>
<li>Implement Delta Lake features such as ACID transactions, schema evolution, time travel, and optimized storage.</li>
<li>Design and implement bronze, silver, and gold layers using medallion architecture.</li>
<li>Tune Databricks clusters for performance and cost optimization.</li>
<li>Monitor Databricks jobs and handle failures, retries, alerts, and job dependencies.</li>
<li>Implement job orchestration using Databricks Workflows, Airflow, AWS Step Functions, or similar tools.</li>
<li>Manage secrets, environment variables, and secure connections.</li>
<li>Support migration from legacy Hadoop/Spark platforms to Databricks on AWS, if required.</li>
</ul><p><b>'We are a Disability Confident Employer:</b></p>
<p>Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government&rsquo;s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:</p>
<ul><li>Declare they have a disability, and</li>
<li>Meet the minimum essential criteria for the role.</li>
</ul><p>Please opt in during the application process.</p>
<p><b>Make It Real (what does it mean for you):</b></p>
<ul><li>You&rsquo;d be joining an accredited Great Place to work for Wellbeing in 2024. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions.</li>
<li>To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.</li>
<li>You will be empowered to explore, innovate, and progress. You will benefit from Capgemini&rsquo;s &lsquo;learning for life&rsquo; mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.</li>
<li>You will be joining one of the World&rsquo;s Most Ethical Companies&reg;, as recognised by Ethisphere&reg; for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.</li>
</ul><p><b>Why you should consider Capgemini:</b></p>
<p>Growing clients&rsquo; businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you&rsquo;ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what&rsquo;s possible. It&rsquo;s why, together, we seek out opportunities that will transform the world&rsquo;s leading businesses, and it&rsquo;s how you&rsquo;ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you&rsquo;ll build the skills you want. You&rsquo;ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.</p>
<p><b>About Capgemini:</b></p>
<p>Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of &euro;22.1 billion.</p>
<p><b>Make it real | www.capgemini.com</b></p>
<div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div>The role is responsible for creating visual representations of data, concepts, ideas, or designs to facilitate understanding, communication, and decision-making. The work also involves translating complex information into visual formats that are clear, engaging, and impactful.</div>
</div><div><div><h2 class="jobSectionHeader"><b>Job Description - Grade Specific</b></h2>
</div><div>The role leverages their expertise in visual communication and data visualization to help clients make informed decisions, enhance their data driven storytelling, and improve their overall visual communication strategies.</div></div></div></div></div></div></div>

AWS Databricks Engineer

Astronomer

<div><div><h2 class="jobSectionHeader"><b>Location</b></h2>
<p>London</p>
</div><div><h2 class="jobSectionHeader"><b>Employment Type</b></h2>
<p>Full time</p>
</div><div><h2 class="jobSectionHeader"><b>Location Type</b></h2>
<p>Hybrid</p>
</div><div><h2 class="jobSectionHeader"><b>Department</b></h2>
<p>Customer</p></div></div>
<br><div><div><p>Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow&reg;. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.</p>
<h2 class="jobSectionHeader"><b>About this role:</b></h2>
<p>As a Field Engineer, SWAT, you will join our field team to deliver world-class technical solutions to customer and prospect business problems. In this role, you will be exposed to a wide range of use cases where Apache Airflow sits at the center of the solution.</p>
<p>The impacts you will make will enable customers to rapidly grow their businesses by adopting Astronomer products to meet their goals.</p>
<p></p><h2 class="jobSectionHeader"><b>What you get to do:</b></h2>
<ul><li><p>Implement Astronomer&rsquo;s software and services in the core of some of the world&rsquo;s largest businesses and organizations.</p>
</li><li><p>Guide our largest and most complex customers in their Apache Airflow journeys</p>
</li><li><p>Act as the core interface between the Customer, Sales, and Product to ensure that the broader solution around the platform is solving pain points and bringing value to customers.</p>
</li></ul><p></p><h2 class="jobSectionHeader"><b>What you bring to the role:</b></h2>
<ul><li><p>Strong Kubernetes experience (GKE/EKS/AKS or OpenShift preferred)</p>
</li><li><p>Expertise in at least one programming language.</p>
</li><li><p>Good understanding of network complexities and architectures</p>
</li><li><p>Versatile Terminal and CLI user, this will be a hands-on role, frequently without access to a GUI</p>
</li><li><p>Experience setting up and troubleshooting distributed systems</p>
</li><li><p>Experience with complex SaaS infrastructure operating at scale</p>
</li><li><p>Experience with at least one major cloud provider API/tooling</p>
</li><li><p>Ability to read code</p>
</li><li><p>Work effectively with git</p>
</li><li><p>Cloud-native data architecture experience</p>
</li><li><p>Strong customer facing skills</p>
</li><li><p>Strong oral and written communications skills - should be able to explain complex technical issues to non-technical folks succinctly</p>
</li></ul><p></p><h2 class="jobSectionHeader"><b>Bonus points if you have:</b></h2>
<ul><li><p>Prior experience using or administering Apache Airflow, Autosys, UC4, Temporal, Dagster, or Prefect</p>
</li><li><p>Proficiency in Python/Go.</p>
</li><li><p>Enterprise data experience with or in regulated environments</p>
</li><li><p>Experience with scripting/automation specifically infra (Pulumi, Terraform, Ansible, etc.)</p>
</li><li><p>5+ years experience in a data engineering role or equivalent</p>
</li><li><p>3+ years in a customer-facing role</p>
</li><li><p>Experience with ElasticSearch/Prometheus/Vault</p>
</li></ul><p></p><p><i>#LI-Hybrid</i></p>
<p>At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</p></div></div><p></p>

Field Engineer, SWAT

Onsera Health

<div>
 <p>
  The Challenge
 </p>
 <p>
  Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value.
 </p>
 <p>
  The Opportunity
 </p>
 <p>
  This is an opportunity to build the ML and AI foundations of Onsera Health's breakthrough healthcare platform. Backed by Population Health Partners (PHP)&mdash;the proven venture platform behind Metsera and Corsera Health&mdash;we're building the future of population health management.
 </p>
 <p>
  <strong>
   As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems.
  </strong>
  Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards.
 </p>
 <p>
  Responsibilities
 </p>
 <ul>
  <li>
   <strong>
    Design and implement Onsera's agentic AI platform
   </strong>
   &ndash; architect LLM/agent framework selection, standardized patterns for tools, memory, guardrails, evaluation, and observability
  </li>
  <li>
   <strong>
    Define MLOps protocols for agentic systems
   </strong>
   &ndash; environment separation, versioning of prompts, tools, and policies, cost controls, rate-limiting, and fail-safe mechanisms
  </li>
  <li>
   <strong>
    Bridge data science and platform engineering
   </strong>
   &ndash; translate experimentation needs into GCP infrastructure, scalable compute patterns, and reproducible development environments
  </li>
  <li>
   <strong>
    Productionize data science code
   </strong>
   &ndash; convert research-grade notebooks into tested, modular, production-grade Python services, batch and streaming pipelines, and scheduled workflows
  </li>
  <li>
   <strong>
    Build production-grade data pipelines
   </strong>
   &ndash; develop idempotent, observable, and cost-efficient pipelines using BigQuery, Airflow, Google Workflows, and Cloud Run
  </li>
  <li>
   <strong>
    Implement CI/CD for ML workloads
   </strong>
   &ndash; automated validation, monitoring, rollback strategies, and model lifecycle management
  </li>
  <li>
   <strong>
    Establish reliability and governance
   </strong>
   &ndash; logging, metrics, tracing, data quality checks, and auditability for model decisions, data lineage, and agent actions
  </li>
 </ul>
 <p>
  What We Offer
 </p>
 <ul>
  <li>
   Mission-driven work addressing critical public health and healthcare economics challenges
  </li>
  <li>
   Ground-floor opportunity to build the ML/AI infrastructure for a breakthrough healthcare platform
  </li>
  <li>
   Partnership with a world-class team of industry leaders, innovators, technologists, bioscientists, and clinicians from PHP and beyond
  </li>
  <li>
   A fast-paced, dynamic, and highly collaborative work environment
  </li>
  <li>
   Competitive salary and benefits package, including participation in our equity program
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Minimum Qualifications
 </p>
 <ul>
  <li>
   5+ years of experience in machine learning engineering, data engineering, or a related field
  </li>
  <li>
   Strong Python engineering skills with production-quality, typed, and tested code
  </li>
  <li>
   Track record productionizing ML models in batch and/or real-time environments
  </li>
  <li>
   Hands-on experience with analytical data warehouses (BigQuery or equivalent) and workflow orchestration (Airflow or similar)
  </li>
  <li>
   Experience deploying ML systems on GCP, including Cloud Run, GCS, and IAM
  </li>
  <li>
   Infrastructure-as-Code experience (Terraform or equivalent)
  </li>
  <li>
   Experience with feature engineering, model lifecycle management, and ML evaluation
  </li>
  <li>
   Demonstrated ability to collaborate across Data Science, Product, and Platform teams
  </li>
 </ul>
 <p>
  Preferred Qualifications
 </p>
 <ul>
  <li>
   Experience with LLMs, agent frameworks, or AI orchestration systems in production
  </li>
  <li>
   Familiarity with prompt management, tool calling, evaluation, and AI safety patterns
  </li>
  <li>
   Healthcare or regulated-industry experience, including familiarity with HIPAA or SOC-2 compliance
  </li>
  <li>
   Experience with claims data, EHR-derived datasets, or real-world evidence
  </li>
  <li>
   Strong written and verbal communication skills with technical and non-technical stakeholders
  </li>
 </ul>
 <p>
  About Onsera Health
 </p>
 <p>
  We are an early-stage health AI company revolutionizing cardiometabolic care and population health economics connected to weight loss. Our unique position within the PHP ecosystem provides:
 </p>
 <ul>
  <li>
   <strong>
    Venture track record:
   </strong>
   A proven track record of success in building biotech and healthcare companies
  </li>
  <li>
   <strong>
    Deep capital:
   </strong>
   Funding and resourcing to support deep tech and scientific R&amp;D&mdash;and to drive growth
  </li>
  <li>
   <strong>
    Strategic guidance:
   </strong>
   Direct access to industry pioneers (including founders of The Medicines Company and Metsera), healthcare experts (including leaders in virtual care, former FDA commissioners), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent
  </li>
  <li>
   <strong>
    Expert network:
   </strong>
   Established connections across pharma, payers, and providers
  </li>
  <li>
   <strong>
    Startup agility:
   </strong>
   Ownership in the venture, founder mentality, and ground-floor impact
  </li>
 </ul>
 <p>
  About PHP
 </p>
 <p>
  Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera and Corsera Health.
 </p>
 <p>
  <strong>
   Leadership:
  </strong>
  Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare, and Roy Berggren, 30+ year McKinsey Healthcare leader.
 </p>
</div>


Senior Machine Learning Engineer

Sainsbury’s

<div><div><h1 class="jobSectionHeader"><b>Data Scientist
</b></h1></div><h4 class="jobSectionHeader"><b>Salary: </b><b>Competitive Plus Benefits</b><br>
<b>Location: </b><b>London Store Support Centre and Home, London, EC1M 6HA
</b><br>
<b>Contract type:
</b><br>
<b>Business area: </b><b>Data &amp; Analytics</b><br>
<b>Closing date: </b><b>07 July 2026</b><br>
<b>Requisition ID: </b><b>400067289</b></h4><p></p><div><div>At Sainsbury&rsquo;s, data sits at the heart of how we operate, innovate and serve our customers. Our Data &amp; Analytics team is building a technically advanced, commercially focused and impactful capability, powering our Next Level Strategy and helping to create a Sainsbury&rsquo;s powered by industry leading AI algorithms. We use data, technology and advanced analytics to drive better decisions across the business, from forecasting and optimisation to experimentation, personalisation and machine learning. With one of the richest retail datasets I n the UK and a portfolio spanning Sainsbury&rsquo;s, Argos, Habitat and Nectar, the opportunity to innovate is huge. Here, you&rsquo;ll tackle complex challenges at scale, create measurable impact and grow quickly alongside brilliant colleagues. People who thrive with us combine business understanding, technical expertise and curiosity, with a natural instinct for problem-solving. Join us and help shape the future of retail through data and AI.
</div></div><div><div><p><b>Data Scientist &ndash; Nectar360</b></p><br>
<p></p>
<p><b>
Location</b></p>
<p>
London &ndash; Farringdon/Home</p>
<p><b>
Reporting to</b></p>
<p>
N360 Data Science Manager</p><br>
<p></p>
<p><b>
What is it?</b></p>
<p>
We&rsquo;re looking for a talented Data Scientist to join Nectar360 &ndash; the team behind Sainsbury&rsquo;s Retail Media offering, and the UK&rsquo;s largest coalition loyalty programme (Nectar), with 24 million members nationwide.</p>
<p>
Our N360 Data Science team builds the systems behind our market-leading Retail Media platform (N360 Pollen), allowing hundreds of suppliers, media agencies and internal teams to set up, customise and measure their marketing campaigns. We develop and continuously improve our cutting-edge measurement capabilities, including multi-channel attribution, uplift estimation, AI-driven targeting and budget optimisation - across instore, onsite and offsite media. Our work enables suppliers to engage with customers every day and maximise the impact of their advertising.</p>
<p>
Based in our new Farringdon office, this role will work closely with decision-makers across Nectar360 and Sainsbury&rsquo;s to continue building innovative solutions for Nectar360, our suppliers and partners, using our incredible data assets, our rich customer understanding, and state of the art machine learning and AI. As one of the data scientist in the team, you&rsquo;ll apply your wealth of experience and ideas to design, build, and improve our capabilities &ndash; driving value for the customer and the business. With a large team of data scientists and analysts across Sainsbury&rsquo;s and millions of known customers, the scale and scope are huge.</p><br>
<p></p>
<p><b>
What will you be doing?</b></p>
<p>
Solve the hard problems</p>
<ul>
<li>Work on the technical development of algorithms and pipelines that will deliver against our strategic objectives in Nectar360, including our industry-leading marketing measurement solutions.</li>
<li>Develop and enhance modelling and optimisation capabilities, using techniques such as MMMs, causal inference, multi-touch attribution, experimentation Bayesian modeling, unsupervised learning and many others.</li>
<li>Support the maintenance and optimization of existing models to adapt to changing needs and client feedback.</li></ul><br>
<p></p>
<p>
Embody and improve best practice</p>
<ul>
<li>Align to best practice across modelling, experimentation, deployment, and model lifecycle management.</li>
<li>Collaborate with stakeholders to understand and deliver on their needs, and work with engineering teams to source data and deploy robust solutions.</li></ul><br>
<p></p>
<p>
Be an enthusiastic member of our community</p>
<ul>
<li>Bring new ideas for future approaches, including state of the art techniques where appropriate.</li>
<li>Understand how our business really works and how data science can improve customer experience and our offering to 3rd parties.</li>
<li>Actively contribute to our vibrant Data and Analytics community of over 800 colleagues</li></ul><br>
<p></p>
<p><b>
What are we looking for?</b></p>
<p>
We&rsquo;re looking for a highly motivated self-starter &ndash; someone who fixes problems and creates value without micromanagement. You need to know how to balance our need for technical rigour against our need to deliver commercial and customer value.</p>
<p>
Value delivery</p>
<ul>
<li>Experience in Data Science roles in a commercial setting, with evidence of solving complex problems end-to-end.</li>
<li>A record of building systems which run in production, and an understanding of the value these generated.</li>
<li>An ability to understand commercial reality as well as technical rigour, and a pragmatic mindset.</li>
<li>A strong ability to communicate ideas to audiences of varying technical background and seniority, and present key ideas and insights succinctly.</li>
<li>Independence in proposing and implementing solutions</li></ul><br>
<p></p>
<p>
Data Science expertise</p>
<ul>
<li>Solid grounding and experience in applying statistical modelling and machine learning in commercial settings, with proven experience in some of the following areas: Causal inference, MMMs, Bayesian inference, experimentation, multi-touch attribution, time series modelling.</li>
<li>Ability to select the right technique for a given objective and avoid pitfalls.</li>
<li>Curiosity, scepticism and attention to detail regarding data quality, samples, bias and ethics.</li></ul><br>
<p></p>
<p>
Production-grade design</p>
<ul>
<li>Advanced programming ability in Python and strong ability to use SQL, with a proven experience of developing complex solutions as part of a team.</li>
<li>Solid understanding of working with production codebases, version control and CI/CD.</li>
<li>Practical experience working with cloud platforms and MLOps tools to build and maintain production-ready solutions.</li></ul><br>
<p></p>
<p>
Development</p>
<ul>
<li>A strong awareness and understanding of technology trends and direction in Data Science, analytics and AI.</li></ul><br>
<p></p>
<p><b>
Essential Criteria</b></p>
<ul>
<li>Experience in previous Data Science roles in a commercial setting</li>
<li>Strong understanding of working with production codebases, version control and CI/CD.</li>
<li>Ability to communicate ideas to audiences of varying technical background and seniority</li>
<li>Independence in proposing and implementing solutions</li>
<li>Solid grounding and experience in applying statistical modelling and machine learning in commercial settings</li>
<li>Advanced programming ability in Python and strong ability to use SQL</li></ul><br>
<p></p>
<p><b>
Support we will provide</b></p>
<ul>
<li>A vibrant team to bounce ideas off and to support you with specialised knowledge (technical, stats/data science or business processes)</li>
<li>Mentoring from Data Science Managers</li>
<li>Automation and orchestration support from our integrated engineering and product teams within Nectar360</li>
<li>Technical and non-technical training and regular hackathons, learning days and knowledge sharing sessions.</li></ul><br>
<p></p>
<p>
We are committed to being a truly inclusive retailer so you&rsquo;ll be welcomed whoever you are and wherever you work. Around here, there&rsquo;s always the chance to try something new &mdash; whether that&rsquo;s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we&rsquo;ll also offer you an amazing range of benefits. Please see www.sainsburys.jobs for details.</p>
<p>
#DataAndAnalytics</p>
<p>
#DataScience</p>
<p>
#LI-CM1</p>
</div></div><div><div><p>We are committed to being a truly inclusive retailer so you&rsquo;ll be welcomed whoever you are and wherever you work. Around here, there&rsquo;s always the chance to try something new &mdash; whether that&rsquo;s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we&rsquo;ll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 10% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance and you can buy up to an additional week's holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an employee assistance programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks&rsquo; pay for maternity or adoption leave and up to 4 weeks&rsquo; pay for paternity leave. Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply).</p></div></div></div><p></p>

Data Scientist

LABOUR PARTY

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

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

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