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analytical scientist in data science

data analyst

quantitative researcher

Wise Australia Investments

<div><div><div>Wise is a global technology company, building the best way to move and manage the world&rsquo;s money. 
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money. 
For everyone, everywhere.
. 
Job Description 
We are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects.
Your work will have a direct impact on Wise&rsquo;s mission and millions of our customers. 
About the Role:
You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume- serving everyone from retail customers sending money abroad to tier-1 banks via Wise Platform.
The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform:
We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy - all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered - while thinking deeply about how they serve customers and products. You'll also contribute to the quantitative models themselves as you grow into the domain.
What you&rsquo;ll own<ul><li>
Python microservices that run quantitative models in production</li><li>
Monitoring, alerting, and reliability for real-time pricing and risk systems</li><li>
Shared quant libraries used across multiple services</li><li>
CI/CD pipelines, deployment and operational excellence</li><li>
Incident response and root cause analysis for production issues</li></ul>
Where you&rsquo;ll grow<ul><li>
Real-time curve construction (yield curves, FX forwards, vol surfaces)</li><li>
Pricing models for new instruments and products</li><li>
Trading strategy development and optimisation</li><li>
Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis)</li><li>
Backtesting frameworks and model validation</li><li>
Customer behaviour modelling, pricing strategy and product launch support</li><li>
Collaborating with product teams to translate quantitative insights into customer-facing decisions</li></ul> 
Qualifications 
What we&rsquo;re looking for<ul><li>
4+ years building and maintaining production Python systems</li><li>
Strong experience with microservices, databases, and production infrastructure</li><li>
Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.)</li><li>
Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness</li><li>
Experience with testing, monitoring, and debugging complex systems under load</li><li>
A product mindset - you think about who uses your systems and why</li><li>
Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers</li></ul>
It&rsquo;s a bonus if you are familiar with<ul><li>
FX or financial markets experience</li><li>
Term structure modelling, stochastic calculus or Monte Carlo methods</li><li>
Interest rate curve bootstrapping</li><li>
Algorithmic execution experience</li><li>
Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.)</li></ul>
We&rsquo;re people without borders &mdash; without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you&rsquo;re passionate about learning new things and keen to join our mission, you&rsquo;ll fit right in.
Also, qualifications aren&rsquo;t that important to us. If you&rsquo;ve got great experience, and you&rsquo;re great at articulating your thinking, we&rsquo;d like to hear from you.
And because we believe that diverse teams build better products, we&rsquo;d especially love to hear from you if you&rsquo;re from an under-represented demographic 
Additional Information<div></div> 
For everyone, everywhere. We're people building money without borders &mdash; without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences. 
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on </div></div><div><div><div><div>Instagram</div></div></div></div></div><div></div>

Lead Data Scientist (Quant) - Treasury FX

Wise

<div>Company Description 
Wise is a global technology company, building the best way to move and manage the world&rsquo;s money. 
Min fees. Max ease. Full speed.
Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.
As part of our team, you will be helping us create an entirely new network for the world's money. 
For everyone, everywhere.
More about our mission and what we offer. 
Job Description 
We are seeking a talented quantitative developer to join our Treasury Markets Data Science team. This role focuses on owning and operating the production infrastructure behind our FX pricing, risk, and trading systems with the opportunity to broaden the scope of work into traditional quant aspects.
Your work will have a direct impact on Wise&rsquo;s mission and millions of our customers. 
About the Role:
You'll join the Treasury Markets Data Science team, owning the quantitative infrastructure that powers how Wise manages FX risk across a USD 250bn+ in annual FX volume- serving everyone from retail customers sending money abroad to tier-1 banks via Wise Platform.
The wider Treasury FX team includes quants, traders, analysts, product managers and engineers working together to price, hedge, manage and scale FX operations within Wise in real time. Within that, the Data Science team owns the quantitative platform:
We run a Python-first, production-grade quant platform: real-time curve construction, multi-instrument pricing, risk analytics, and trading strategy - all built and operated by the same team. Your primary focus is keeping these systems reliable, performant and well-engineered - while thinking deeply about how they serve customers and products. You'll also contribute to the quantitative models themselves as you grow into the domain.
What you&rsquo;ll own<ul><li>
Python microservices that run quantitative models in production</li><li>
Monitoring, alerting, and reliability for real-time pricing and risk systems</li><li>
Shared quant libraries used across multiple services</li><li>
CI/CD pipelines, deployment and operational excellence</li><li>
Incident response and root cause analysis for production issues</li></ul>
Where you&rsquo;ll grow<ul><li>
Real-time curve construction (yield curves, FX forwards, vol surfaces)</li><li>
Pricing models for new instruments and products</li><li>
Trading strategy development and optimisation</li><li>
Risk modelling alongside the Risk team (VaR, stress testing, scenario analysis)</li><li>
Backtesting frameworks and model validation</li><li>
Customer behaviour modelling, pricing strategy and product launch support</li><li>
Collaborating with product teams to translate quantitative insights into customer-facing decisions</li></ul> 
Qualifications 
What we&rsquo;re looking for<ul><li>
4+ years building and maintaining production Python systems</li><li>
Strong experience with microservices, databases, and production infrastructure</li><li>
Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.)</li><li>
Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness</li><li>
Experience with testing, monitoring, and debugging complex systems under load</li><li>
A product mindset - you think about who uses your systems and why</li><li>
Clear communicator who can work cross-functionally with other quants, analysts, traders, product managers and engineers</li></ul>
It&rsquo;s a bonus if you are familiar with<ul><li>
FX or financial markets experience</li><li>
Term structure modelling, stochastic calculus or Monte Carlo methods</li><li>
Interest rate curve bootstrapping</li><li>
Algorithmic execution experience</li><li>
Data lake or warehouse experience (Snowflake, Iceberg, Spark etc.)</li></ul>
We&rsquo;re people without borders &mdash; without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you&rsquo;re passionate about learning new things and keen to join our mission, you&rsquo;ll fit right in.
Also, qualifications aren&rsquo;t that important to us. If you&rsquo;ve got great experience, and you&rsquo;re great at articulating your thinking, we&rsquo;d like to hear from you.
And because we believe that diverse teams build better products, we&rsquo;d especially love to hear from you if you&rsquo;re from an under-represented demographic 
Additional Information<div></div> 
For everyone, everywhere. We're people building money without borders &mdash; without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.
We're proud to have a truly international team, and we celebrate our differences. 
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.</div>

Hunter Bond

<div>
 
 ⚛️ React Engineer &ndash; Leading Buy-Side Investment Firm
 
 
 📍 London (Hybrid)
 
 
 💸 Up to &pound;180,000 + Bonus + Comprehensive Benefits
 
 
 
 
 
 🚀 The Opportunity
 
 
 A prestigious investment firm is seeking a talented React Engineer to help build the next generation of front-end applications supporting trading, pricing, and quantitative research workflows.
 
 
 This is an opportunity to work at the intersection of modern web technology and quantitative finance, developing highly responsive, data-intensive applications that enable real-time decision-making across global markets. You'll collaborate closely with traders, quantitative researchers, and engineers to deliver mission-critical systems in a fast-paced, technology-driven environment.
 
 
 
 
 
 🔧 What You'll Be Doing
 
 <ul>
 <li>
 Design, develop, and maintain high-performance front-end applications using React and modern JavaScript frameworks
 </li>
 <li>
 Build intuitive, data-rich user interfaces for trading, analytics, and pricing platforms
 </li>
 <li>
 Integrate front-end applications with real-time data feeds and backend services
 </li>
 <li>
 Collaborate with engineers, quants, and business stakeholders to deliver scalable, production-grade solutions
 </li>
 <li>
 Contribute to UI architecture, performance optimisation, and overall user experience
 </li>
 </ul>
 
 
 
 
 🌟 Why Join?
 
 
 ⚛️ Build Mission-Critical Applications
 
 
 Develop sophisticated front-end systems that directly support investment and trading decisions.
 
 
 📊 Work with Complex, Real-Time Data
 
 
 Create highly interactive applications capable of handling large volumes of live market data.
 
 
 🧠 Exceptional Colleagues
 
 
 Collaborate with world-class engineers, quantitative researchers, and trading professionals.
 
 
 🚀 Modern Engineering Environment
 
 
 Work with cutting-edge technologies, best practices, and a culture that values technical excellence.
 
 
 💼 Outstanding Compensation &amp; Career Growth
 
 
 Benefit from highly competitive compensation, performance-based bonuses, and a meritocratic environment that rewards impact and innovation.
 
 
 
 
 
 ✅ What We're Looking For
 
 <ul>
 <li>
 Degree in Computer Science, Engineering, Mathematics, or a related STEM discipline
 </li>
 <li>
 1+ years of professional software engineering experience
 </li>
 <li>
 Strong commercial experience with React and modern front-end development
 </li>
 <li>
 Solid understanding of JavaScript/TypeScript, UI architecture, and web application performance
 </li>
 <li>
 Familiarity with Agile development practices, Git, and CI/CD workflows
 </li>
 <li>
 Strong problem-solving skills and attention to detail
 </li>
 </ul>
 
 ➕ Nice to Have
 
 <ul>
 <li>
 Experience with Python or other backend technologies
 </li>
 <li>
 Exposure to financial markets, trading systems, or data-intensive applications
 </li>
 <li>
 Experience working with real-time data visualisation and analytics platforms
 </li>
 </ul>
 
 
 
 
 📩 Interested?
 
 
 If you're looking to apply your front-end expertise to complex, high-impact systems while working alongside some of the industry's brightest minds, we'd love to hear from you.
 
 
 
 
 
 📧 Apply now or reach out directly for a confidential discussion:
 
 obloom@hunterbond.com
 
 
</div>

React Developer - Up to £180,000 + Bonus + Package

Deloitte

<div><div><div><div><h3 class="jobSectionHeader">Basic information
</h3></div></div><div><div><div><div>Location
</div><div>London
</div></div><div><div>Business Line
</div><div>Technology &amp; Transformation
</div></div><div><div>Job Type
</div><div>Contract
</div></div><div><div>Date published
</div><div>02-Jul-2026
</div></div><div><div>Req #
</div><div>23986
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader">Job description
</h3></div></div><div></div><div><div><div><div>Job Title: Java Developer (FX Trading) - contract
Location: London Hybrid. Travel to the London office on 2-3 days a week
Duration: 6 months (with potential to extend)
Contract Start Date: ASAP *note client onboarding takes 4-6 weeks from offer
Day Rate: Competitive (Inside IR35) 
Deloitte
Working with the Deloitte Associate (Contractor) Programme means we can offer you the opportunity to work on a variation of industry and client related projects. Our aim is to retain the best talent and so when your project end date nears our team of Talent Community Advisors will be working with you to look at alternative projects within the firm that suit your experience should you wish to continue with Deloitte. 
The Role
We are looking for an experienced Java Developers to work in the Technology and Transformation Team at Deloitte. You will support the FX trading platforms with one of our global financial services clients. This position requires Java server-side development with FX experience within Financial Services sector, excellent communication skills combined with the tech listed below. 
Essential skill and experience<ul><li>
Highly technical with strong Java server-side development experience.</li><li>
Must have FX experience within Financial Services sector. Have pricing or algo-trading experience in any asset class</li><li>
Have full technology stack knowledge of Java, Linux and networks.</li><li>
Have excellent communication skills to face off to tech management, Quantitative Strategies Group and trading desk.</li><li>
Full SDLC experience, Git, Jenkins, Ansible etc.</li><li>
Advanced programming skills including understanding of algorithms and data structures, design patterns, multi-threading.</li><li>
Experience in 3rd line production support</li><li>
Have a degree in Computer Science, Physics, Engineering, Mathematics, or relevant analytical degree.</li><li>
Be a strong team player</li><li>
KDB / Q experience (Desirable)</li></ul><div></div> 
Deliverables: Responsibilities but not limited to: 
<ul><li>
Design, develop, and implement robust, scalable, and high-performance server-side Java solutions for our algorithmic trading platforms.</li><li>
Engage with the full technology stack, from core Java development to Linux and network optimizations, ensuring seamless end-to-end performance.</li><li>
Provide 3rd line production support to diagnose and resolve complex technical issues, ensuring the stability and reliability of our trading systems.</li><li>
Work in close collaboration with the Quantitative Strategies Group and trading desk to understand requirements and deliver innovative solutions.</li><li>
Participate in the full software development lifecycle (SDLC), utilizing tools such as Git for version control, Jenkins for continuous integration, and Ansible for deployment automation.</li><li>
Effectively communicate technical concepts and project status to technology management and other stakeholders.</li></ul> 
IR35
As a means of managing tax, commercial and reputational risks, Deloitte prohibits the use of Associates through Personal Service Companies (&lsquo;PSCs&rsquo;). All Associates must contract under PAYE arrangements through a Deloitte approved &lsquo;Employment Company&rsquo; (aka &lsquo;umbrella company.&rsquo;)</div></div></div></div></div></div><div></div>

Contract - Java Developer (FX Trading)

MarketCast

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

Junior Data Scientist I

iwoca

<div>
 Data Scientist - Acquisition Technology
 
 
 Hybrid in London, United Kingdom
 
 
 
 The Company
 
 
 
 Small businesses move fast. Opportunities often don&rsquo;t wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that&rsquo;s as flexible and responsive as they are.
 
 
 That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed.
 
 
 We&rsquo;ve already cleared the way for 100,000 businesses with more than &pound;4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive.
 
 
 
 The function
 
 
 
 iwoca's Data Scientists specialise in supervised machine learning, statistical inference and exploratory data analysis, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets.
 
 
 
 The team
 
 
 
 The DE Acquisition Tech team sits at the heart of iwoca&rsquo;s growth strategy. Its mission is to help Marketing and Sales reach and engage small businesses of every kind, showing how our finance can empower their ambitions. The team enables smarter, data-driven decision-making across paid and organic channels as well as direct sales. By embedding engineers, product managers, designers, and data scientists together, the team acts as a self-sufficient unit, shaping strategies that deliver measurable commercial impact.
 
 
 
 The role
 
 
 
 As a Data Scientist in the DE Acquisition Tech team, you&rsquo;ll shape how iwoca grows. You&rsquo;ll design and evaluate experiments, build statistical and predictive models, and turn complex data into clear insights. You&rsquo;ll own projects end to end while working closely with stakeholders to align your work with business goals. The models and insights you deliver will directly influence how we invest in sales and marketing, giving you visibility across the company and impact on customer acquisition.
 
 
 
 The projects
 
 
 
 You&rsquo;ll shape projects that:
 
 
 <ul>
 <li>
 Run controlled experiments across paid and organic channels, generating evidence on what drives conversions.
 </li>
 <li>
 Build and refine frameworks for Paid Search and Paid Social, enabling smarter bidding and more effective performance.
 </li>
 <li>
 Develop statistical attribution models to give clear insight into channel impact.
 </li>
 <li>
 Design predictive lead scoring models that help target valuable prospects more effectively.
 
 
 </li>
 </ul>
 
 The Requirements
 
 
 
 Essential:
 
 
 <ul>
 <li>
 Expertise in probability and statistics, gained through a quantitative field such as Mathematics, Physics, Statistics or similar.
 </li>
 <li>
 Ability to understand business context and translate data into actionable insights that guide decisions.
 </li>
 <li>
 Proficiency with data manipulation and modelling tools such as pandas, statsmodels or R.
 </li>
 <li>
 Experience with scientific computing tools such as NumPy, SciPy, R, Matlab, Mathematica or BLAS.
 </li>
 <li>
 Ability to work autonomously and manage projects end to end, from framing the question to delivering outcomes.
 </li>
 <li>
 Ability to communicate clearly in writing and speech, adapting technical detail to suit different audiences.
 </li>
 <li>
 A commitment to using modern tools effectively &ndash; including AI &ndash; to maximise quality, speed, and rigour, while retaining responsibility for accuracy and outcomes.
 
 
 </li>
 </ul>
 Bonus:
 
 
 <ul>
 <li>
 Understanding of Bayesian statistics, including experience or interest in applying hierarchical Bayesian models.
 </li>
 <li>
 Experience building machine learning models from scratch, including creating custom optimisers.
 </li>
 <li>
 Knowledge of stochastic processes and related mathematical techniques.
 </li>
 <li>
 Experience working with Python, our primary programming language.
 </li>
 <li>
 Understanding of financial concepts such as deterministic cash flows.
 
 
 </li>
 </ul>
 
 The salary
 
 
 
 We expect to pay from &pound;60,000 - &pound;90,000 for this role. But, we&rsquo;re open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance reviews.
 
 
 
 The culture
 
 
 
 At iwoca, we prioritise a culture of learning, growth, and support, and invest in the development of our team members. We value thought and skill diversity, and encourage people to explore new areas of interest, adopt better tools (including AI), and apply sound judgement so our products and decisions improve over time.
 
 
 
 The offices
 
 
 
 We put a lot of effort into making iwoca a great place to work:
 
 
 <ul>
 <li>
 Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks.
 </li>
 <li>
 Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions.
 
 
 </li>
 </ul>
 
 The Benefits
 
 
 
 <ul>
 <li>
 Flexible working hours.
 </li>
 <li>
 Medical insurance from Vitality, including discounted gym membership.
 </li>
 <li>
 A private GP service (separate from Vitality) for you, your partner, and your dependents.
 </li>
 <li>
 25 days&rsquo; holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave.
 </li>
 <li>
 A one-month, fully paid sabbatical after four years.
 </li>
 <li>
 Instant access to external counselling and therapy sessions for team members that need emotional or mental health support.
 </li>
 <li>
 3% Pension contributions on total earnings.
 </li>
 <li>
 An employee equity incentive scheme.
 </li>
 <li>
 Generous parental leave and a nursery tax benefit scheme to help you save money.
 </li>
 <li>
 Electric car scheme and cycle to work scheme.
 </li>
 <li>
 Two company retreats a year: we&rsquo;ve been to France, Italy, Spain, and further afield.
 
 
 </li>
 </ul>
 And to make sure we all keep learning, we offer:
 
 
 <ul>
 <li>
 A learning and development budget for everyone.
 </li>
 <li>
 Company-wide talks with internal and external speakers.
 </li>
 <li>
 Access to learning platforms like Treehouse.
 
 
 </li>
 </ul>
 Useful links:
 
 
 <ul>
 <li>
 iwoca benefits &amp; policies
 </li>
 <li>
 Interview welcome pack
 
 
 </li>
 </ul>
 Compensation Range: &pound;60K - &pound;90K
</div>

Data Scientist - Acquisition Tech Team

PayPal

<div>
 
 The Company
 
 
 PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.
 
 
 We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
 
 
 We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
 
 
 Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.
 
 
 
 Job Summary:
 
 
 
 As PayPal continues its mission to revolutionize commerce, we are seeking a Senior Data Scientist to join our Consumer Portfolio Growth team. In this role, you will help drive profitable growth across our consumer product portfolio by transforming complex data into actionable insights that inform strategic decisions and deliver measurable business impact.
 
 
 This is an opportunity for a business-oriented data scientist who combines strong technical expertise with sound business judgment. You will partner closely with cross-functional stakeholders, apply advanced analytical methods to challenging business problems, and help shape decisions that drive growth, engagement, and long-term customer value. If this introduction sparks your interest, keep reading &mdash; the best is yet to come!
 
 
 
 Job Description:
 
 
 
 
 Essential Responsibilities:
 
 
 
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 Lead the development and implementation of advanced data science models.
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 Collaborate with stakeholders to understand requirements.
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 Drive best practices in data science.
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 Ensure data quality and integrity in all processes.
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 Mentor and guide junior data scientists.
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 Stay updated with the latest trends in data science.
 
 
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 Minimum Qualifications:
 
 
 
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 3+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.
 
 
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 Additional Responsibilities &amp; Preferred Qualifications:
 
 
 
 
 Meet Our Team
 
 
 
 Our Consumer Portfolio Growth team sits at the intersection of data science and commercial strategy. We focus on understanding how consumers engage across PayPal&rsquo;s full product suite &mdash; spanning PayPal P2P, Checkout, Credit, Debit, and more &mdash; and identifying where the greatest untapped growth opportunities lie.
 
 
 The team drives business outcomes through advanced analytics, customer segmentation, funnel analysis, experimentation, and causal inference. We are a close-knit group of intellectually curious, technically rigorous data scientists who take pride in delivering clear narratives to senior leadership and measurable business impact.
 
 
 
 Your Way to Impact
 
 
 
 In this role, you will help drive profitable growth across PayPal&rsquo;s consumer product portfolio by transforming data into actionable insights that influence strategic decisions. Your work will directly shape business performance by delivering rigorous analyses, scalable data science solutions, and recommendations that help teams make better decisions and create lasting value for our customers.
 
 
 
 Your Day to Day
 
 
 
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 Lead deep-dive analyses that uncover the drivers behind business performance, diagnose unexpected trends, challenge assumptions, and identify new growth opportunities.
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 Apply sophisticated quantitative methods&mdash;including machine learning, causal inference, synthetic controls, difference-in-differences, and propensity score matching&mdash;to answer complex business questions with statistical rigor.
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 Build and evolve customer segmentation frameworks that reveal behaviorally distinct consumer cohorts and translate those insights into targeted growth strategies.
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 Analyze how consumer behavior evolves across PayPal&rsquo;s product ecosystem, quantifying the impact of cross-product engagement on activation, retention, monetization, and customer value.
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 Monitor key consumer funnel metrics across products, customer segments, and geographies, identifying trends, risks, and growth opportunities.
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 Develop business cases and opportunity-sizing analyses to support growth initiatives and strategic investments.
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 Lead analytical projects from problem definition through recommendation, ensuring insights are actionable, timely, and aligned with business priorities.
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 Partner closely with Product, Commercial, Marketing, and Finance teams to inform decision-making and influence strategy.
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 Serve as a trusted analytical partner to stakeholders by translating complex analyses into clear, actionable recommendations.
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 Leverage AI-assisted tools and modern analytical workflows&mdash;including LLM-based technologies such as Claude, Claude Code, ChatGPT, or similar platforms&mdash;to accelerate analysis, automate recurring workflows, and scale insight delivery.
 
 
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 What You Need To Succeed
 
 
 The ideal candidate combines strong analytical and modelling capabilities with hands-on expertise in SQL, statistics, and data visualization.
 
 
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 Data-driven mindset with a degree in a quantitative discipline such as Engineering, Computer Science, Economics, Statistics, or Mathematics.
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 Significant experience in data science, analytics, economics, statistics, or a related quantitative field, including hands-on experience analyzing large and complex datasets.
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 Advanced expertise in SQL and Python, with experience building scalable analytical solutions and applying statistical methods to real-world business problems.
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 Demonstrated experience applying advanced analytical methods&mdash;including machine learning, causal inference, synthetic controls, or difference-in-differences&mdash;in a business context.
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 Experience developing and deploying analytical models in research and production environments.
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 Experience presenting findings and recommendations to business stakeholders, including senior leaders.
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 Proficiency in visualization and reporting tools such as Tableau or Looker, with the ability to produce executive-ready presentations.
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 Strong written and verbal communication skills, with the ability to tailor messages to both technical and non-technical audiences.
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 Ability to work proactively and independently in a fast-paced environment, managing competing priorities and bringing structure to complex business challenges.
 
 
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 The Traits to Exceed
 
 
 
 You are proactive, intellectually curious, and enjoy solving complex business problems while continuously learning and improving. As part of a broader Consumer Analytics organization, you will partner closely with cross-functional stakeholders across Product, Commercial, Marketing, Finance, and Engineering, making strong collaboration, communication, and influencing skills essential for success.
 
 
 We are especially looking for candidates who:
 
 
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 Are comfortable working in evolving and ambiguous environments, bringing clarity to complex business challenges.
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 Demonstrate intellectual curiosity and consistently go beyond the immediate question to uncover the insight that matters most.
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 Have a track record of translating rigorous analytical work into measurable business outcomes.
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 Embrace modern AI-enabled ways of working, using LLMs and intelligent automation tools to improve productivity and scale impact.
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 Communicate complex ideas clearly and confidently to audiences at all levels of the organization.
 
 
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 We Believe in You
 
 
 
 Interested? Don&rsquo;t hesitate to apply and let's talk &mdash; we&rsquo;d love to get to know you!
 
 
 _
 
 
 
 Subsidiary:
 
 
 
 PayPal
 
 
 
 Travel Percent:
 
 
 
 0
 
 
 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.
 
 
 For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
 
 
 
 Our Benefits:
 
 
 
 At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing&mdash;physical, emotional, and financial&mdash;delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health.
 
 
 
 Who We Are:
 
 
 
 Click Here to learn more about our culture and community.
 
 
 
 Commitment to Diversity and Inclusion
 
 
 
 PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.
 
 
 
 Belonging at PayPal:
 
 
 
 Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
 
 
 Any general requests for consideration of your skills, please Join our Talent Community.
 
 
 We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.
</div>

Senior Data Scientist

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