junior programmer

MarketCast

<div>
 <strong>
  Junior Data Scientist - Product
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 <strong>
  London, UK, Reading, UK
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  Role Impact
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 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.
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 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
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 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.
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 <strong>
  We're Looking For
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 </strong>
 <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.
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   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.
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   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.
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   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.
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   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.
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   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.
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   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.
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 <strong>
  Qualifications
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   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.
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   A successful applicant must demonstrate solid programming ability (Python and ideally SQL) and an interest in writing good, maintainable software - not just scripts.
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   A successful applicant must further demonstrate a genuine appetite for technical depth, mathematical rigour, and continuous learning.
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  </li>
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 <strong>
  Who We Are
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 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
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 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.
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 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
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  Our Values
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  Move The Needle
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 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.
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  Client Success is Our Scoreboard
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 We win when our clients win. Delivering scaled, tech-enabled solutions that drive measurable impact and value to build lasting partnerships.
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  Grow Every Day
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 Expertise is earned continuously by investing in our craft, our colleagues, and our company.
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  Own It
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 Take responsibility for outcomes, not just outputs.
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  Benefits
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   Free movie tickets!
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   29 days annual leave PLUS Bank Holidays
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   Flextime with core hours between 10am and 3pm
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   2 days&rsquo; work from home per week
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   4% match pension scheme
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   Enhanced maternity pay
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   Regular social events in both UK locations
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   Professional growth and career development including LinkedIn Learning
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 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.
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 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><p><b>Job Title</b></p>
Junior Analytics Engineer<p><b>
Job Description Summary</b></p><p><b>
Job Description</b></p><p>
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.</p><p></p><p><b>
Responsibilities:</b></p><ul><li><p>
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.</p></li><li><p>
Support the standardisation of datasets, business logic, and data models to enable reusability and consistency across BI teams and markets.</p></li><li><p>
Assist with onboarding market-specific datasets onto our central data platform, collaborating with local stakeholders to understand data sources and requirements.</p></li><li><p>
Work closely with senior team members to ensure data assets meet the requirements of BI products being developed by the BI Development team.</p></li><li><p>
Develop a working understanding of the business context behind data requests, supporting senior team members in translating business needs into data structures and logic.</p></li><li><p>
Collaborate closely with Data Science &amp; Engineering colleagues, building familiarity with how data assets are used and shared across teams.</p></li><li><p>
Contribute to data quality checks and basic performance monitoring of data models and semantic layers, supporting senior team members in identifying improvements.</p></li><li><p>
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.</p></li><li><p>
Maintain clear documentation of data models, datasets, and platform assets, ensuring work is well-described and easy for others to understand and build on.</p></li><li><p>
Participate in peer reviews of data models and platform assets, incorporating feedback constructively to develop technical skills and maintain quality standards.</p></li><li><p>
Follow established best practices for data modelling, naming conventions, and platform governance, developing familiarity with the team's standards and ways of working.</p></li><li><p>
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.</p></li><li><p>
Support testing and quality assurance activities across project delivery, helping to ensure data assets and platform changes are reliable before release.</p></li></ul><p></p><p><b>
Requirements:</b></p><ul><li><p>
Bachelor's or Master's degree in Computer Science, Data Engineering, Mathematics, Statistics, or a related technical discipline.</p></li><li><p>
Some practical experience with data engineering, analytics engineering, or BI development through employment, internships, or academic projects.</p></li><li><p>
Foundational understanding of SQL and a willingness to develop proficiency in building and optimising data models.</p></li><li><p>
Basic familiarity with data modelling concepts such as star schema or dimensional modelling; formal experience is an advantage but not required.</p></li><li><p>
Exposure to enterprise data platforms such as Databricks, Microsoft Fabric, Azure Synapse, or Snowflake is desirable.</p></li><li><p>
Awareness of Power BI or other BI tools and an interest in understanding how data assets underpin BI product development.</p></li><li><p>
Curiosity about AI, machine learning, and agentic technologies, and how data platforms are structured to support these use cases.</p></li><li><p>
An interest in understanding business needs and translating them into data and analytics solutions, with a willingness to develop commercial awareness alongside technical skills.</p></li><li><p>
Strong attention to detail and a methodical approach to building, testing, and documenting data assets.</p></li><li><p>
A collaborative and proactive mindset, with the eagerness to learn from senior team members and contribute to a high-performing team.</p></li><li><p>
Good communication skills, with the ability to ask clear questions and document work clearly.</p></li><li><p>
Knowledge of the real estate sector is a plus but not required.</p></li><li><p>
Fluent in English; additional European languages are an advantage.</p></li></ul><p></p><p><br>
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.</p><br>
<p></p>
INCO: &ldquo;Cushman &amp; Wakefield&rdquo;</div>

Junior Analytics Engineer

Homey

<div>
 <strong>
  About Homey
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 Moving home in the UK is notoriously slow and stressful. At Homey, we are changing that. We are an established, fast-growing business using technology to streamline property transactions, making the process faster, more transparent, and more efficient for everyone involved.
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 <strong>
  Check us out at Homey.co.uk.
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 </strong>
 The Role
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 We aren't looking for 10 years of legacy experience. We are looking for smart, adaptable, and ambitious engineers&mdash;whether you&rsquo;ve just graduated, finished school, or are early in your coding journey.
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 At Homey, we don't care if you haven't memorized every syntax rule&mdash;we care that you know how to build things fast. We are looking for "AI-Native" engineers: people who see LLMs (like Claude Code, Grok, or GitHub Copilot) as their superpower to ship high-quality code at speed.
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  Requirements
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  Build &amp; Iterate:
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 Develop and maintain features that directly impact how people buy and sell homes.
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  Leverage AI:
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 Use modern AI coding agents and LLMs to accelerate your workflow, debug complex issues, and explore new solutions.
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  Problem Solve:
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 Take ownership of tasks from day one with a "can-do" attitude&mdash;if you don't know the answer, you'll find it.
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  Collaborate
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 : Work closely with a nimble team that values fresh perspectives and creative thinking.
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 Who You Are
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  Early Career:
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 You are a recent graduate, school leaver, or junior dev looking for a place to grow.
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  Tech Enthusiast
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 : You aren't just "aware" of AI; you are actively using tools like Claude Code, Grok, or Cursorto write and refine your projects.
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  High Energy
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 : You have a "can-do" mindset. No task is too small, and no challenge is too big.
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 Curious: You have a genuine interest in how technology can disrupt a traditional industry like real estate.
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  Benefits
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 Work at an established company with the soul of a startup.
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  Mentorship From Experienced Founders Who Value Modern Development Workflows.
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 The chance to solve a real-world problem that affects millions of people.
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 Ready to build the future of property? Apply with a link to your GitHub, a project you&rsquo;ve built using AI, or just a note on why you&rsquo;re the right fit for Homey.
</div>


Junior Software Engineer (AI-Native)

VodafoneThree

<div><div><div><div><h2 class="jobSectionHeader"><b>Who we are</b></h2>
</div><div><p>
VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation.
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As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.
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We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
<br>
#VOIS #BeUnrivalled #CreateTheFuture</p></div></div><div><div><h2 class="jobSectionHeader"><b>
About this Role:</b></h2>
</div><div><p>
The <b>Digital &amp; IT Team</b> is responsible for designing, building, and operating the core digital and IT capabilities that power Vodafone&rsquo;s next‑generation Digital &amp; IT platform.</p><p>
As a <b>Junior AI Engineer</b>, you will work within cross-functional squads to build platform capabilities using an <b>AI-enabled Software Development Life Cycle (AI-SDLC)</b>.</p><p>
You will apply AI tools to accelerate how we <b>understand existing systems, generate specifications, and deliver software</b>, working alongside engineers, architects, and product teams.</p><p>
You will help transform existing platform assets and business requirements into structured, <b>reusable engineering artefacts</b>, supporting delivery through <b>spec-driven, thin-slice development</b>.</p><p>
You will also support the <b>responsible use of AI-generated outputs</b> by validating accuracy, completeness, security, and alignment with Vodafone engineering standards.</p><p>
Given the responsibilities outlined above, the role includes:</p><ul><li>
Supporting analysis of existing systems to extract <b>business logic, integrations, and reusable capabilities</b></li><li>
Generating <b>structured engineering artefacts</b> to support consistent delivery</li><li>
Contributing to <b>AI-assisted development workflows</b>, ensuring alignment between requirements, specifications, and implementation</li><li>
Supporting <b>incremental, thin-slice delivery</b> of platform capabilities</li><li>
Working closely with developers, architects, and product teams to maintain <b>quality, consistency, and delivery pace</b></li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
What you&rsquo;ll do</b></h2>
</div><div><ul><li>Use AI tools to support <b>analysis of existing codebases and services</b>, identifying reusable logic and integration patterns</li><li>
Generate and refine <b>specifications, acceptance criteria, and user stories</b> aligned to platform architecture</li><li>
Create <b>test scenarios and validation artefacts </b>derived from specifications</li><li>
Support translation of <b>business requirements into implementation-ready engineering artefacts</b></li><li>
Work with developers to ensure <b>alignment between specifications, code, and testing outputs</b></li><li><b>
Validate AI-generated specifications, code suggestions, test scenarios, and documentation</b> to ensure they are accurate, secure, consistent, and aligned with platform architecture and engineering standards</li><li>
Support <b>responsible AI-SDLC practices</b> by identifying risks such as hallucinated requirements, incomplete logic, security gaps, or misalignment between business intent and implementation</li><li>
Contribute to <b>incremental, thin-slice delivery</b>, maintaining traceability between requirements, specifications, and implementation</li><li>
Assist in the <b>implementation of services, APIs, and platform components</b>, validating AI-generated outputs</li><li>
Participate in agile ceremonies (refinement, planning, stand-ups, retrospectives)</li><li>
Contribute to <b>AI-SDLC practices, templates, and continuous improvement across the squad.</b></li><li><b>
AI-Assisted Engineering</b> - Understanding of how AI tools support system analysis, specification, and delivery workflows</li><li><b>
Software Engineering Fundamentals</b> - Knowledge of APIs, data structures, and system design basics</li><li><b>
AI Governance and Validation</b> - Awareness of responsible AI usage in software delivery, including validation of AI-generated outputs, traceability, quality control, and security considerations</li><li><b>
Collaboration </b>- Works effectively in cross-functional squads, supporting engineers and product teams</li><li><b>
Communication</b> - Able to clearly document specifications and communicate technical concepts</li><li><b>
Learning Mindset</b> - Strong curiosity and ability to rapidly adopt new tools and practices</li><li><b>
Agile Delivery</b> - Exposure to iterative delivery, CI/CD, and continuous improvement practices</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Who you are</b></h2></div><p></p><div><br>
<ul><li>
Experience with at least one programming language (e.g. Java, Python, JavaScript or similar)</li><li>
Understanding of <b>APIs, web services, and basic system integration concepts</b></li><li>
Familiarity with <b>modern development workflows (Git, CI/CD basics)</b></li><li>
Awareness of <b>AI/LLM tools and their application in software development</b></li><li>
Exposure to <b>cloud-native development concepts</b> (e.g. microservices, containers, or cloud platforms)</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Not a perfect fit?</b></h2>
</div><div><p>
Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
VOIS Equal Opportunity Employer Commitment</b></h2>
</div><div><p>
Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Join Us</b></h2>
</div><div><p>
At Vodafone, we&rsquo;re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
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We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
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With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Alert
</b></h2></div><div><p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.
<br>
#JDEnhancedByTARA</p></div></div></div></div>

Junior AI Software Engineer

Novartis

<div><div><h3 class="jobSectionHeader"><b>Summary
</b></h3><div>Principal / Senior Principal Statistical Programmer
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#LI-Hybrid
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Location: London, UK Remote working can be considered<br>
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This role is based in London, UK. Novartis is unable to offer relocation support for this role. Please only apply if this location is accessible for you.
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<br>
Therapy Area - Neuroscience<br>
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Step into a pivotal role where your expertise shapes the future of clinical development. As a Senior Principal Statistical Programmer, you will lead complex programming strategies across high-impact studies and programs, partnering with cross-functional teams to deliver high-quality, regulatory-ready outputs. This is your opportunity to influence innovation, drive modern programming practices, and make a tangible difference in bringing life-changing medicines to patients faster.</div>
</div><div><h3 class="jobSectionHeader"><b>About the Role
</b></h3><div><div><p><b>Key responsibilities:
</b></p><ul><li>Lead SP activities as Trial Programmer for one or multiple trial(s) or as a Lead/ Program Programmer for a program or an indication.</li><li>
May coordinate activities of internal/ external programmers. Make SP decisions and propose strategies at study, program or indication/ disease level.</li><li>
May act as functional manager of associates including providing supervision and guidance to these programmers on operational / functional expertise and processes.</li><li>
Build and maintain effective working relationship with cross-functional teams, able to summarize and discuss status of deliverables and critical programming aspects (timelines, scope, resource plan), e.g. as SP representative in study- or program-level team.</li><li>
Review eCRF, data structures, and ensure program-level standardization for effective pooling and efficient case record tabulation (CRT) production.</li><li>
Comply with company, department and industry standards (e.g. CDISC) and processes, assess and clarify additional programming requirements, review, develop and influence programming specifications as part of the analysis plans (incl. program-level strategies).</li><li>
Provide and implement statistical programming solutions; ensure knowledge sharing. Act as programming expert in problem-solving aspects.</li><li>
Ensure timely and quality development and validation of datasets and outputs for clinical study reports (CSRs), regulatory submissions/interactions, safety reports, publications, post-marketing activities or exploratory analyses (as required) in the assigned drug development studies/program. Understand Git-based version control workflows and their role in supporting collaborative, traceable, and reproducible programming activities.</li><li>
Responsible for quality control and inspection readiness of all assigned statistical programming deliverables as well as accuracy and reliability of statistical analysis results. Establishes robust expectations and frameworks for reproducibility, documentation, and code quality across complex workflows; leads refinement of templates, standards, and governance.</li><li>
Maintain up-to-date advanced knowledge of statistical programming languages (e.g. R, SAS, ) as well as industry requirements (e.g. CDISC, eCTD, Define.xml), act as an expert for advanced analysis, reporting, automation and enterprise-scale workflow optimization, and drive adoption of reusable solutions and modern approaches across studies or programs</li></ul></div><p></p><p><b>
Essential Requirements:
</b></p><ul><li>BS/MS degree in statistics, computer science, mathematics, data science, life science or equivalent relevant degree</li><li>
Extensive experience and deep expertise in Statistical programming languages (e.g., R, SAS, or Python) to drive standardization across studies or programs and effectively adopt R packages (e.g. Tidyverse), R Shiny Applications, AI-enabled tools etc. to support data visualization, version control (e.g. Git-based), and reproducible workflows.</li><li>
Advanced experience in contributing to statistical analysis plans and/or constructing technical programming specifications</li><li>
Advanced knowledge of industry standards including CDISC data structures as well as a solid understanding of the development and use of standard programs</li><li>
Good understanding of regulatory requirements relevant to Statistical Programming (e.g. GCP, study procedures)</li><li>
Proven communications and negotiation skills, ability to work well with others globally and influence</li><li>
Experience as Trial/Lead/Program Programmer for several studies or project-level activities, including coordination of team of internal or external programmers on a given study/program, ability to transfer own knowledge to others</li></ul><p></p><p><b>
Benefits &amp; Rewards</b></p><p>
At Novartis, we&rsquo;re committed to reimagining medicine together - and rewarding the people who make it happen.</p><p></p><p><b>
Expected Annual Base Salary Range for role: &pound;49,140.00 - &pound;91,260.00 Annual</b></p><p></p><p>
The base salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.</p><p>
In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters.</p><p></p><p>
The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and minimum 14 weeks paid parental leave.</p><p></p><p>
Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics.</p><p></p><p>
Read our brochure to learn more about our global total rewards offering:</p><p>
https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf</p><p></p><p><i>
Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.</i></p><p></p><p><b>
Commitment to Diversity and Inclusion / EEO paragraph</b></p><p>
Novartis is committed to building an outstanding, inclusive work environment and diverse teams&rsquo; representative of the patients and communities we serve.</p></div>
</div><div><div><p><b>Why Novartis:</b> Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients&rsquo; lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture</p><p><b>
Benefits and Rewards:</b> Learn about all the ways we&rsquo;ll help you thrive personally and professionally.<br>
Read our handbook (PDF 30 MB)</p></div></div></div>
<br><div><div>Primary location salary range
<div>&pound;49,140.00 - &pound;91,260.00
</div></div><div>Division
<div>Development
</div></div><div>Business Unit
<div>Development
</div></div><div>Location
<div>United Kingdom
</div></div><div>Site
<div>London (The Westworks)
</div></div><div>Company / Legal Entity
<div>GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd.
</div></div><div>Functional Area
<div>Research &amp; Development
</div></div><div>Job Type
<div>Full time
</div></div><div>Employment Type
<div>Regular
</div></div><div>Shift Work
<div>No</div></div></div><div></div>

Senior Principal Statistical Programmer

<div>
 <strong>
  Your role
  <br/>
  <br/>
 </strong>
 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?
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Type
  <br/>
  <br/>
 </strong>
 Full Time
 <br/>
 <br/>
 <strong>
  Job Reference #
  <br/>
  <br/>
 </strong>
 336118BR
 <br/>
 <br/>
 <strong>
  City
  <br/>
  <br/>
 </strong>
 London
 <br/>
 <br/>
 <strong>
  Your team
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Your expertise
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Us
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Join us
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 We&rsquo;re committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
 <br/>
 <br/>
 <strong>
  Disclaimer / Policy statements
  <br/>
  <br/>
 </strong>
 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><p><b>Job Reference #</b></p>
<div>336118BR</div>
</div><div><p><b>City</b></p>
<div>London</div>
</div><div><p><b>Job Type</b></p>
<div>Full Time
</div></div><div><p><b>Your role</b></p>
<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?<br>
<br>
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.<br>
<br>
<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><p><b>Your team</b></p>
<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.<br>
<br>
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><p><b>Your expertise</b></p>
<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><p><b>About us</b></p>
<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.<br>
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><p><b>Join us</b></p>
<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.<br>
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><p><b>Disclaimer / Policy statements</b></p>
<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>

Explore 65+ Junior programmer in London this July. Find roles across top companies and apply now to boost your career.

65 junior programmer jobs In London

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