machine learning engineer

data scientist

data engineer

analytics engineer

senior analytics engineer

lead data scientist

Talan

<div>Company Description 
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI). 
Job Description 
We are hiring a Lead Data Scientist to drive the technical delivery of our most demanding AI engagements and to lead a growing team of data scientists and AI engineers. This role is for a practitioner who is equally fluent in the rigour of traditional data science (statistical modelling, machine learning, experimentation) and the fast-moving world of large language models and agentic AI. You understand that the best solutions often combine both.
You will own delivery from problem framing through to deployment, ensuring the work is technically sound, commercially valuable, and aligned to the architectural vision. As a lead, you will mentor the team, raise engineering and modelling standards, and act as a trusted technical partner in client conversations. You will help clients see not just what is possible, but what is practical and worth doing.
This is a delivery-focused leadership role with genuine breadth: one week you might be tuning a forecasting model, the next designing an agentic workflow or evaluating an LLM pipeline for a client pilot.
Required skills &amp; experience:<ul><li>
Lead end-to-end delivery of data science and AI projects, owning technical quality and outcomes.</li><li>
Combine classical ML (regression, classification, forecasting, optimisation) with modern GenAI, LLM, and agent-based approaches as the problem demands.</li><li>
Mentor and develop data scientists, AI engineers, and junior consultants, growing the team's capability.</li><li>
Translate business problems into well-scoped analytical and AI solutions and communicate results to non-technical stakeholders.</li><li>
Ensure best practice across the AI lifecycle &mdash; experimentation, evaluation, testing, deployment, and monitoring.</li><li>
Act as the bridge between architecture and delivery, ensuring implementation stays faithful to design.</li><li>
Support pre-sales and client discussions with credible technical input and realistic estimation.</li><li>
Champion reproducibility, model governance, and responsible practice in everyday delivery.</li></ul> 

Qualifications 
To qualify for this role, you must have:
<ul><li>Minimum 5 years in data science or AI delivery, including hands-on leadership of technical teams or workstreams.</li><li>
Strong foundations in machine learning and statistics, with demonstrable production experience.</li><li>
Practical experience with LLMs and generative AI &mdash; prompting, RAG, fine-tuning, and evaluation.</li><li>
Exposure to AI agents and orchestration frameworks, and an appetite to deepen it.</li><li>
Proficiency in Python and the modern data / ML stack; sound data engineering instincts.</li><li>
Excellent communication and stakeholder skills, ideally in client-facing or consulting settings.</li></ul>
Ideally, you&rsquo;ll also have, but not essential:<ul><li>
Familiarity with the Azure AI ecosystem (Azure ML, Azure OpenAI, Databricks / Fabric).</li><li>
Experience supporting business development or pre-sales.</li><li>
Domain depth in a regulated or data-rich industry.</li><li>
Contributions to open source, publications, or a visible professional profile.</li></ul>
You must be:<ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul>
#TalanUK #LI-HB1 
Additional Information 
Compensation &amp; Benefits Package:<ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul>
Why join:
You will lead substantive, end-to-end AI work in a practice that is scaling fast and backing its people to grow with it. You will shape how a team works, influence how clients adopt AI, and keep your own skills at the frontier, bridging proven data science with the most current GenAI and agentic techniques. It is an opportunity to lead, deliver, and keep building.</div>

Lead Data Scientist (Classical ML, LLMs & AI Agents)

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>

Lead Data Scientist (Quant) - Treasury FX

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 
</li>
<li>10 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree in Statistics, Mathematics, Data Science , Engineering, Physics, Economics, or a related quantitative field.</li><li>
Experience taking highly ambiguous concepts and personally designing the statistical models, data structures, and code to ship them as finished, sustainable data products.</li><li>
Experience navigating e-commerce or marketplace data, with a deep understanding of user acquisition, inventory data, and merchant/consumer behavior.</li><li>
Experience with Large Language Models, causal inference, experiment design at scale, and defining evaluation frameworks for agentic workflows.</li><li>
Experience maintaining full accountability for a technical codebase, balancing speed against analytical debt and model stability.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Our mission is to build scalable, commercially focused, and machine-consumable data products and insights that simplify problems and drive outcomes for merchants and consumers.
As a Staff Data Scientist, you are a technical leader who consolidates deep analytical excellence, statistical modeling, and domain expertise into highly maintainable, scalable data products. You bridge the gap between complex mathematical insights and strategic business decisions across high-impact engineering and product teams. Operating with high autonomy, you solve the organisation&rsquo;s most complex, ambiguous problems rather than being confined to a single product team or silo. You demonstrate exceptional scientific quality, ensuring that our analytical methodologies are robust, reproducible, and built to last. You partner directly with Engineering and Product to actively shape our agentic AI data products in our fast-moving &quot;one-team&quot; model.
The various, high-velocity team of 30 spans Mountain View and London, bringing together experts in Data Science. As a senior leader in this unit, you will have a direct global impact, actively inputting to Google&rsquo;s high-profile agentic commerce AI initiatives.
Users come first at Google. Nowhere is this more important than on our Advertising and Commerce team: we believe that ads and commercial information can be highly useful to our users if that information is relevant to what our users wish to find or do. Advertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. We are constantly innovating to deliver the most effective advertising and commerce opportunities of tomorrow.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Goal Setting and Measurement: Set rigorous data science goals and translate highly undefined, ambiguous problems into concrete, structured, and auditable data and measurement frameworks.</li><li>
Data Productisation: Package complex data flows, causal inference models, and agentic workflows into sustainable, well-designed data products and reusable codebase assets that move beyond traditional dashboards..</li><li>
Strategic Advising: Act as an expert advisor to Engineering and Product Management Directors, delivering fast-turnaround, data-driven perspectives that influence product roadmaps and strategic pivots.</li><li>
System and Schema Design: Define and evaluate complex metrics (including conversational evaluation frameworks) while partnering with Data Engineering to co-design clean data schemas.</li><li>
Technical Execution: Proactively jump into high-priority, high-friction data science challenges, establishing fast insights and balancing with high standards for experimental design, data modeling and storytelling.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, 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. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Product Data Scientist, Google Shopping

Faculty

<div><h2 class="jobSectionHeader">Why Faculty? 
</h2> 
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we&rsquo;ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.
We don&rsquo;t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.
Our business, and reputation, is growing fast and we&rsquo;re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.
AI is an epoch-defining technology, join a company where you&rsquo;ll be empowered to envision its most powerful applications, and to make them happen.<h2 class="jobSectionHeader">
About the team</h2>
Our Retail and Consumer experts are dedicated to helping clients in an industry which is being transformed by new technologies and evolving consumer expectations. Leveraging over a decade of experience in Applied AI, we combine exceptional technical and delivery expertise to empower businesses to adapt and thrive.
#LI-PRIO<h2 class="jobSectionHeader">
About the role</h2>
As a Principal Data Scientist, you'll serve as a recognised authority and strategic force across the organisation, shaping not just how we deliver but how we evolve. You will define our technical vision at the highest level, influence organisation-wide strategy, and take ultimate ownership of our most critical, complex, and commercially significant programmes. This position goes beyond project delivery &mdash; you are a multiplier of capability, a trusted partner to senior leadership, and a key driver of long-term competitive differentiation.<h2 class="jobSectionHeader">
What you'll be doing:</h2><ul><li>
Defining and owning the long-term technical vision for the practice, setting standards that raise the bar across the entire organisation.</li><li>
Architecting and overseeing the delivery of flagship, business-critical programmes &mdash; spanning multiple workstreams, teams, and client organisations.</li><li>
Driving organisation-wide adoption of innovation, tooling, and best practices &mdash; influencing how the entire Data Science craft evolves.</li><li>
Cultivating senior talent across the organisation &mdash; coaching leads and managers, building capability pipelines, and embedding a culture of technical excellence.</li><li>
Acting as the senior technical voice in C-suite and executive client engagements, shaping strategic direction and securing long-term partnerships.</li><li>
Leading on the most strategically significant sales opportunities, providing technical authority that differentiates our proposition and wins high-value engagements.</li><li>
Partnering with Engineering, Commercial, and Infrastructure leadership to align technical strategy with broader business goals and growth ambitions.</li></ul><h2 class="jobSectionHeader">
Who we're looking for:</h2><ul><li>
You are a recognised expert in multiple machine learning domains, with the technical breadth to make sound judgements across the full data science landscape.</li><li>
You have a proven track record of shaping technical strategy at an organisational level &mdash; not just within projects, but across business units and leadership forums.</li><li>
You have led the delivery of large-scale, high-ambiguity programmes and can bring clarity, structure, and momentum to the most complex situations.</li><li>
You are a skilled developer of senior people &mdash; coaching leads and managers, building capability, and shaping a high-performance culture.</li><li>
You operate naturally at the executive level &mdash; with clients and internal stakeholders alike &mdash; as a trusted advisor who can translate technical thinking into commercial outcomes.</li><li>
You have a visible external profile &mdash; through publications, conference contributions, open-source leadership, or industry influence &mdash; that reflects your standing in the field.</li><li>
You think beyond the immediate &mdash; identifying emerging opportunities and risks and proactively shaping the organisation's response before they arrive.</li></ul><h2 class="jobSectionHeader">
Our Interview Process</h2><ul><li>
Talent Team Screen (30 minutes)</li><li>
Introduction to the team (30 minutes)</li><li>
Take Home Technical Assessment</li><li>
Technical Interview (90 minutes)</li><li>
Commercial Interview (60 minutes)</li></ul><h2 class="jobSectionHeader">
Our Recruitment Ethos</h2>
We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We&rsquo;re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Some of our standout benefits:<ul><li>
Unlimited Annual Leave Policy</li><li>
Private healthcare and dental</li><li>
Enhanced parental leave</li><li>
Family-Friendly Flexibility &amp; Flexible working</li><li>
Sanctus Coaching</li><li>
Hybrid Working</li></ul>
If you don&rsquo;t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.</div>

Principal Data Scientist

Genius Sports

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before.
 
The Role
 
You will lead a team of data scientists developing the next generation of Genius Sports’ market leading sports models. These models act as the sporting brain behind many of Genius’s customer facing products, calculating the probabilities of outcomes across a wide range of sports.
 
How will you work?
 
Lead a specially formed, highly skilled team delivering an innovative & intelligent product! Forming part of a multi-disciplinary Agile team of Software Engineers, Data Scientists, QA Engineers and a Product Manager, you will look to work closely to the fundamental principles of continuous delivery and empowered, high-performing teams.
 
We operate in a squad model to allow focus on the business top priorities, allowing exposure across multiple products while still maintaining strong ownership of your team’s domain.
 
If you are looking to tackle hard problems, collaborate with high calibre engineers and deliver smart solutions with an autonomous & performance focused approach that supports success, delivery & quality, then this is for you.
 
As a Senior Data Science Manager, you will oversee the implementation of predictive models across many sports. You will lead your team in the development of algorithms to calculate the probabilities of sporting outcomes.
 
What skills do you have?
 
A BSc, MSc or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject
 Strong leadership skills with a proven track record of successful delivery of high impact solutions to complex data science problems
 Mentoring and Staff Development
 Expert knowledge of probability and statistics
 Expertise in a broad range of data science / machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.) with a proven track record of delivering solutions to complex problems.
 Proficiency with Python or other scripting/programming languages (R, Matlab, etc)
 Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements. You lead conversations that drive alignment and uncover edge cases others might miss.
 Familiarity with sports rules and strategies (football, American football, basketball, tennis, ice hockey, baseball, etc.)
 
It is advantageous for you to have knowledge of the following:
 
Sports betting
 Machine Learning Operations (MLOps) covering the full life cycle from model creation, deployment (Gitlab, AWS, Docker) and retraining
 Data engineering
 Rust, C++, other programming languages
 Real-time systems and/or high-performance computing
 Software System Design
 Software Development Lifecycle (SDLC)
 
What we expect from our co-workers
 
Curiosity and strong desire to learn and improve
 Social skills, being able to act as a facilitator, can balance enabling others with individual contributions.
 Time management and asynchronous communication skills relevant for a geographically diverse engineering organization
 Enthusiasm and ability to work collaboratively within a team
 Excellent spoken and written English
 Adherence to our core engineering principles of Aligned Autonomy, Psychological Safety and Continuous Improvement
 
We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.
 
As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career.
 
We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference.
 
Let us know when you apply if you need any assistance during the recruiting process due to a disability.

Senior Data Science Manager

Wayflyer

<div>
 
 About Wayflyer
 
 
 
 Today's small businesses need a capital provider that keeps pace with their growth ambitions. Traditional financing options are slow, cumbersome and often out of reach. That's why we built Wayflyer.
 
 
 Our technology allows us to assess businesses in minutes, generate financing offers that reflect their growth potential and send funds in as little as 24 hours. To date, we've deployed over $6bn to thousands of businesses worldwide, backed by Tier 1 banks like J.P. Morgan.
 
 
 You'll be collaborating with ambitious colleagues from around the world. We have offices in Dublin, London, New York, Charlotte, Berlin and Sydney.
 
 
 
 The challenge
 
 
 
 Data Science at Wayflyer isn't a research function sitting outside the business - it's embedded in the decisions that determine who we fund, how we price, and how fast we grow. We have a team of talented Data Scientists and ML Engineers doing serious work. Now we need someone who can lead them, raise the bar, and make sure what they build actually ships and sticks.
 
 
 
 What You'll Actually Do
 
 
 
 We treat Machine Learning as a branch of software engineering, so you'll be a hands-on technical leader, not someone who manages from a distance. You'll write code, review PRs, and take responsibility for the production-grade ML models that power Wayflyer's go-to-market and funding processes.
 
 
 <ul>
 <li>
 Manage, mentor and scale a team of 4+ DS/ML engineers, holding the bar on technical excellence and code quality
 </li>
 <li>
 Own the ML lifecycle end to end, from dataset annotation and model training through to deployment, monitoring and infrastructure
 </li>
 <li>
 Partner with Product and Engineering leads to shape a data science roadmap that actually moves the business
 </li>
 <li>
 Put engineering discipline behind the work: reproducible pipelines, automated testing, documentation that holds up
 </li>
 <li>
 Translate complex technical work into something VPs and the C-suite can act on
 </li>
 <li>
 Push your team to use AI and LLMs to get to better outputs faster, not as a substitute for thinking
 
 
 </li>
 </ul>
 
 Who Thrives Here
 
 
 
 You started as an individual contributor and you haven't forgotten what it feels like to be in the weeds of a model that won't behave. You lead from the front, your team knows you can do the work, which is why they trust your direction on it. You can hold a technically rigorous standard and a commercially pragmatic one at the same time, and you know when to push back on a roadmap request and when to find a way to say yes. The people you've managed would say you made them better.
 
 
 <ul>
 <li>
 Advanced Python and SQL, the kind you'd expect from a strong Software Engineer
 </li>
 <li>
 Real experience getting models deployed, monitored and running reliably in production (Airflow, Dagster or similar)
 </li>
 <li>
 A proven track record of building and maintaining production ML systems yourself.
 </li>
 <li>
 Ability to translate business challenges (specifically in risk or growth) into technical data solutions.
 
 
 </li>
 </ul>
 
 How You&rsquo;ll Stand Out
 
 
 
 <ul>
 <li>
 Stack: Python, SQL, Modern Data Stack, Orchestration tools.
 </li>
 <li>
 Bonus: Experience in FinTech or Credit Risk.
 </li>
 <li>
 Bonus: Experience with NLP (Text classification, NER).
 
 
 </li>
 </ul>
 
 What This Role Could Turn Into
 
 
 
 This is a role with a direct line to how Wayflyer scales. As the business grows, so does the scope: more products, more markets, more decisions that need Data Science at their core. The person who lands this role won't just be running a team, they'll be shaping how data science is practiced across the organisation. That might mean:
 
 
 <ul>
 <li>
 Expanding into adjacent domains like growth or platform
 </li>
 <li>
 Taking ownership of cross-functional initiatives
 </li>
 <li>
 Setting the standards other teams build to
 
 
 </li>
 </ul>
 
 We hire for range
 
 
 
 We're less interested in years served than in the arc that got you here. You've probably gone from building models yourself to building the team that builds them, and you're still just as comfortable doing both. You've led a data science or ML team before, and you still write code, and you've got the judgment to know what great looks like at every stage of the ML lifecycle.
 
 
 
 Location and working policy
 
 
 
 
 📍
 
 Dublin or London, Hybrid.
 
 
 
 The good stuff
 
 
 
 25 days off, plus public holidays. Private healthcare, life insurance, and a pension. Equity - because you should own a piece of what you're building. Generous parental leave for primary and secondary caregivers. 60 days a year to work abroad from wherever you want.
 
 
 
 By submitting your application, you acknowledge that Wayflyer Limited will process your personal data for the purpose of evaluating your suitability for the role. Such processing is based on the need to take steps prior to entering into a potential employment agreement. To learn more about how we handle your personal data, you can contact our privacy team at
 
 
 privacy@wayflyer.com
 
 
 or review our privacy notice at
 
 
 https://wayflyer.com/privacy-notice
 
 
 .
 
</div>

Data Science

LABOUR PARTY

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

Data Scientist

Explore 460+ Lead data scientist in London this July. Find roles across top companies and apply now to boost your career.