product data scientist

Checkout.com

<div>Company Description
We&rsquo;re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we&rsquo;re behind many of the digital experiences you use every day.
 
 
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
 
 
Whether you want to book a holiday, order food, renew a subscription, or check out online, there&rsquo;s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
 
 
If you want to do career-defining work, you&rsquo;ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
 
 
With 20 offices across six continents and London as our HQ, we&rsquo;re shaping the future of fintech &ndash; and we&rsquo;re just getting started.
As a Product Data Scientist, you'll work as part of a cross-functional team alongside product managers, designers, and software and analytics engineers, using data and your analytical expertise to influence the strategy of our Operations and Compliance products. You'll focus on two main domains: AML Transaction Monitoring, where you will help optimize our rules-engine and scale predictive automation, and Merchant Care, where you will measure tooling efficiency and apply text analytics to drive product roadmaps.
You'll help define how we measure the success of our products, collaborate with engineers on data collection, build analytical frameworks, and run insights to find product improvement opportunities. Data Analytics at Checkout.com is a highly visible function that critically impacts the company&rsquo;s success. As part of this group, you'll have a strong support network of Senior Data Scientists, Analytics Engineers, and Data Product Managers to help you develop your technical and data science practice.
How You&rsquo;ll Make an Impact<ul><li>
Efficiency &amp; Product Measurement: Build frameworks to measure the operational efficiency and ROI of new software releases and internal tooling updates within Merchant Care.</li><li>
Data Partnerships: Work closely with Data Analytics Engineers and Software Engineers to ensure we log and model the right data to produce high-integrity business insights.</li><li>
Data-driven automations and solutions:<ul><li>
Run historical data simulations to analyze how changes in our deterministic AML rule thresholds affect review backlogs, and suggest optimal logic updates to our SQL-based alerts.</li><li>
Support the development and testing of a Level 1 (L1) automated discounting agent for transaction monitoring alerts, building on existing team frameworks.</li></ul></li><li>
Text Analytics &amp; Insights: Use clustering techniques and LLM-based summary extraction on merchant ticket conversations to identify recurring user friction points and help product teams map future features.</li></ul>
What We&rsquo;re Looking For<ul><li>
Technical foundations: Excellent data interrogation skills with SQL and the ability to comfortably write, read, and iterate through Python scripts to run data science analyses.</li><li>
Foundational ML knowledge: A good understanding of foundational data science concepts (e.g., statistics, clustering, basic NLP workflows). You do not need experience deploying ML models to production, but you should understand how to apply them to data tasks.</li><li>
Analytical Mindset: A strong analytical mind with a demonstrable ability to take operational problems and convert them into structured, data-informed solutions.</li><li>
Communication: Clear and precise communicator, able to explain data insights and analytical logic to non-technical stakeholders (Product Managers and Operations teams).</li></ul>
Experience: Prior experience or a strong internship background in product analytics, risk/compliance data, or a high-growth tech environment is a plus.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you&rsquo;ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It&rsquo;s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you&rsquo;re ready to grow and make a difference, you&rsquo;ll be right at home here.
It&rsquo;s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it&rsquo;s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram</div>

Product Data Scientist

Depop

<div>Company Description
Depop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new. 
 
Founded in 2011, Depop&rsquo;s diverse community has helped move resale into the mainstream, where buying secondhand is no longer an alternative, but how people of different ages now engage with fashion. Today, more than 56 million registered users come to Depop to find great value, express their own personal style and give clothes a longer life. We believe that everything you want already exists, and our role is to help people discover it. 
 
Powered by a team of over 500 people, our company is headquartered in London, with offices in New York. In 2021, Depop became a wholly-owned subsidiary of Etsy - the global marketplace for unique and creative goods - and continues to operate as a standalone company. For more information, visit www.depop.com
 
 
We aim to create an inclusive environment where everyone is welcome, no matter who they are or where they&rsquo;re from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. 
 
We&rsquo;re proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We&rsquo;re continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. 
 
AI Disclosure: We use AI tools (Google Gemini) to help our team source and review applications for roles with a high volume of applications. These tools assist our recruiters in identifying great talent but do not replace human decision-making. At Depop, every hiring decision is made by a human. 
 
If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to adjustments@depop.com.
We&rsquo;re looking for a Senior Product Data Scientist to join our Insights team. You&rsquo;ll partner closely with product, engineering, and machine learning to deliver insights, drive experimentation, and shape the future of Depop&rsquo;s product ecosystem.
This role sits at the intersection of technical excellence and strategic impact. You will not only dive deep into data, pipelines, and experimentation frameworks, but also influence product direction, user experience, and commercial outcomes.
What You&rsquo;ll Do In The Role:
Lead analytics and technical discovery for a core product area
Partner with product, engineering and ML teams to tackle ambiguous problems where the path forward is unclear. You&rsquo;ll independently identify opportunities for analysis, develop new approaches where existing methodologies fall short and generate insights that directly shape the product and ML roadmaps.
Influence product and business strategy
Provide a strategic lens to product thinking by connecting user behaviour, marketplace dynamics and commercial outcomes. Influence prioritisation decisions at both team and company level, acting as a thought partner. Challenge assumptions and raise the quality of decision making.
Design and run experiments
Define hypotheses, implement A/B tests, and rigorously evaluate impact with deep dives and customer behaviour insights to inform roll out decisions and future product development.
Work together with other teams to enable self-serve data driven decision making
Collaborate with product, platform and data teams to ensure scalable, accurate datasets for analysis. Develop dashboards and reporting that drive awareness and actionable insights.
What We&rsquo;re Looking For:<ul><li>
Strong SQL skills and experience querying large, complex datasets</li><li>
Proficiency in Python, with experience in advanced analytics techniques, analysing model outputs or supporting ML evaluation workflows</li><li>
Familiarity with ETL workflows and debugging data issues</li><li>
Proven experience with experimentation</li><li>
Hands-on experience with visualisation tools (Looker, Tableau, or similar)</li><li>
Excellent communication skills&mdash;able to explain complex topics clearly and persuasively</li><li>
Commercial mindset with the ability to balance user and business needs</li><li>
Strong sense of ownership, highly organised, and proactive</li><li>
Comfortable working across ambiguity and fast-changing environments</li></ul>
Bonus Points:<ul><li>
Experience in C2C marketplaces or mobile-first consumer products</li><li>
Experience working alongside machine learning teams or embedding data science in ML-powered product discovery</li></ul>
Additional Information
Health + Mental Wellbeing<ul><li>
PMI and cash plan healthcare access with Bupa</li><li>
Subsidised counselling and coaching with Self Space</li><li>
Cycle to Work scheme with options from Evans or the Green Commute Initiative</li><li>
Employee Assistance Programme (EAP) for 24/7 confidential support</li><li>
Mental Health First Aiders across the business for support and signposting</li></ul> 
Work/Life Balance:<ul><li>
25 days annual leave with option to carry over up to 5 days</li><li>
1 company-wide day off per quarter</li><li>
Impact hours: Up to 2 days additional paid leave per year for volunteering</li><li>
Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love.</li><li>
Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options *role dependant</li><li>
All offices are dog-friendly</li><li>
Ability to work abroad for 4 weeks per year in UK tax treaty countries</li></ul>
Family Life:<ul><li>
18 weeks of paid parental leave for full-time regular employees</li><li>
IVF leave, shared parental leave, and paid emergency parent/carer leave</li></ul>
Learn + Grow:<ul><li>
Budgets for conferences, learning subscriptions, and more</li><li>
Mentorship and programmes to upskill employees</li></ul>
Your Future:<ul><li>
Life Insurance (financial compensation of 3x your salary)</li><li>
Pension matching up to 6% of qualifying earnings</li></ul>
Depop Extras:<ul><li>
Employees enjoy free shipping on their Depop sales within the UK.</li><li>
Special milestones are celebrated with gifts and rewards!</li></ul></div>

Senior Product Data Scientist

SimilarWeb

<div>At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.

Our unique data and solutions empower over 5,700 customers globally, including industry giants like Google, Meta, and OpenAI, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people. 


About the Role

We're looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, you'll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. You'll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team. 


What does the day-to-day of a Product Data Science (Data Labs) at Similarweb look like:
<ul>
<li>Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.</li>
<li>Apply your expertise in quantitative analysis and data mining to turn data into insights.</li>
<li>Conduct research and develop tools which will help answer client's' business. questions by using Similarweb's raw data sets and algorithms.</li>
<li>Partner with Engineering teams to establish an infrastructure to scale solutions.</li>
<li>Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly</li>
</ul>
This is the perfect job for someone who has:
<ul>
<li>At least 2 years experience with SQL/pySpark for data analysis - Must</li>
<li>Experience in Python scripting - Must</li>
<li>Excellent verbal and communication skills in English - Must</li>
<li>AWS Infrastructure experience - Big Advantage</li>
<li>Working with clients - Big Advantage.</li>
<li>Proficiency in Online Marketing/Online Services - Advantage</li>
<li>At least 2 years work experience in Online/Tech Company - Advantage</li>
<li>Team player, autodidact, fast learner with excellent analytical, research and business skills.</li>
<li>Demonstrates initiative and a proactive mindset -Must</li>
<li>Experienced in independently managing complex projects from start to finish.</li>
<li>Have a Bachelor's in Statistics, Computer Science, Engineering, or related field.</li>
<li>Master's degree - Big Advantage.</li></ul> 


Why you'll love being a Similarwebber:

You'll actually love the product you work with: Our customers aren't our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said &quot;the product.&quot; Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world.

You'll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You'll find the resources you need to take initiative and create meaningful change within the organization.

We offer competitive perks &amp; benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours.

You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it's Career Week, personalized coaching, or our ongoing learning solutions, you'll find all the tools and opportunities you need to develop your career right here.

Diversity isn't just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day.

#LI-KZ #LI-Hybrid<div>
We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.</div></div>

Product Data Scientist (Data Labs)

Perplexity

<div>
 Perplexity is looking for an experienced Product Data Scientist to accelerate the development of advanced search technologies. You will identify robust and sensitive signals from user behavior to help us gather insights from A/B experiment data more efficiently.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop data-driven insights from user behavior to inform our product roadmap and accelerate adoption
 </li>
 <li>
 Formulate hypotheses and validate them by designing, running, and analyzing A/B tests
 </li>
 <li>
 Determine appropriate metrics and visualizations for tracking, and implement them in dashboards
 </li>
 <li>
 Design new pipelines that will help to deliver better ranking quality. From discovering new signals, producing metrics and construct data labeling pipelines with human and LLM feedback
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 4+ years of experience working as a data analyst or in a related role
 </li>
 <li>
 Experience working on search-related products, with emphasis on designing online metrics and analyzing A/B experiments
 </li>
 <li>
 Strong Python skills (expected to write production-grade code)
 </li>
 <li>
 Proficiency with SQL
 </li>
 <li>
 Experience with Business Intelligence (BI) tools
 </li>
 <li>
 Deep knowledge of statistics
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Proficiency with Apache Spark
 </li>
 <li>
 Experience with Databricks
 </li>
 <li>
 Experience with development of LLM-as-a-judge systems
 
 
 </li>
 </ul>
</div>

Member of Technical Staff (Product Data Scientist, Search Quality)

Intercom

<div><div>Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.

Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey &ndash; from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.

Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.</div><div><h1 class="jobSectionHeader">
Product Data Science Leader, Fin</h1>
<h2 class="jobSectionHeader">What makes this role different</h2>

This is not a classic experimentation-first product data science leadership role.

Fin is a fast-moving, ambiguous, B2B AI-native product company. The role is less about owning a neat experimentation roadmap and more about helping shape direction in an environment where product bets are evolving quickly, the operating model is constantly changing, and decisions often need to be made before the data is complete.

This person will not be successful if they wait to be asked for analysis. We need someone who creates momentum, brings clarity to messy problems, and helps leaders decide what matters, where to focus, and what should change.

This is a highly consultative, influence-heavy leadership role. It sits at the intersection of product strategy, product analytics, customer outcomes, go-to-market signals, technical feasibility, and organizational design. Success depends on building trust and traction with product, engineering, design, research, sales, and executive stakeholders, often without relying on formal authority alone.

The role is as much about shaping the system around product data science as it is about analytical depth. A major part of the job is creating the conditions for the function to be effective: improving how decisions get made, clarifying where data science should engage, helping define interfaces with adjacent functions, and ensuring insights actually influence outcomes.
<h2 class="jobSectionHeader">
Vision for Product Data Science at Fin</h2>

This role is not only about leading the current team well. It is also about helping define what product data science should become in an AI-native product organization.

Fin is building zero-to-one products in an environment where the nature of the work is constantly shifting. As a result, the shape of product data science cannot be static or tied too closely to a traditional experimentation-and-dashboards model.

We expect this leader to help define the future makeup of the function. That includes understanding where we need data scientists who are closer to engineers and builders, where we need people who operate more like researchers, and where deep statistical and analytical rigor should remain central.

This person should bring a clear point of view on what an AI-native product data science function looks like, how AI should change the practice of analysis, and what capabilities, foundations, and operating model are required for the function to have the most impact over time.

They should help define:
<ul>
<li>the right capability mix for the team over time</li>
<li>where foundations work belongs and how it should be prioritized</li>
<li>how AI can increase leverage in analysis without lowering quality or rigor</li>
<li>how product data science should evolve as Fin evolves.</li>
</ul><h2 class="jobSectionHeader">What this role is really about</h2>
<ul><li>Bringing clarity to ambiguous product bets with data and insights</li>
<li>Helping shape strategy in fast-moving B2B AI product areas</li>
<li>Pushing for better decisions, not just better analysis</li>
<li>Identifying product and performance gaps early;</li>
<li>Influencing where the organization should act</li>
<li>Creating traction for product data science where the model is still evolving</li>
<li>Designing how product data science should work, not just delivering within the current setup</li>
<li>Redirecting effort toward the highest-leverage problems</li>
Leading with judgment, influence, credibility, and conviction 
<li>
</li>
</ul><h2 class="jobSectionHeader">What you&rsquo;ll do</h2>
<ul><li>Help product and company leaders make better decisions on where Fin should focus</li>
<li>Bring structure and judgment to ambiguous product, customer, and performance questions</li>
<li>Identify what is and is not working in the product, and where intervention is most needed</li>
<li>Shape early product direction, especially in zero-to-one and fast-evolving areas</li>
<li>Define where product data science should engage deeply versus where lighter support is sufficient</li>
<li>Define a vision for what product data science should look like in an AI-native product organization</li>
<li>Shape how AI is used in analysis, insight generation, and decision support, while maintaining a high bar for rigor and judgment</li>
<li>Improve visibility into product performance, opportunity size, and business impact</li>
<li>Partner across product, engineering, design, research, sales, and leadership to connect product signals with customer and commercial outcomes</li>
<li>Build trust with senior stakeholders and challenge weak logic or fuzzy thinking when needed</li>
<li>Help design the operating model for product data science in Fin, including interfaces with analytics engineering, research, and go-to-market teams</li>
<li>Ensure the function builds the right foundations for evaluating and improving zero-to-one AI products</li>
<li>Coach and raise the bar for product data science work through prioritization, judgment, and leadership presence</li>
<li>Ensure scarce data science capacity is focused on the most important problems, not just the loudest requests</li>
</ul><h2 class="jobSectionHeader">What we&rsquo;re looking for</h2>
<ul><li>Strong product data science leadership experience in complex product environments</li>
<li>Track record of shaping strategy, not just supporting execution</li>
<li>Comfort operating in ambiguity and making high-quality judgment calls with imperfect data</li>
<li>Ability to influence senior stakeholders and challenge constructively when needed</li>
<li>Strong analytical depth and technical skills</li>
<li>A strong point of view on what product data science should look like in an AI-native company</li>
<li>Experience evolving team shape and capability mix in response to changing product and organizational needs</li>
<li>Ability to distinguish when the work calls for builder-type data scientists, research-oriented profiles, or deeper statistical specialization</li>
<li>Strong judgment on how AI should and should not be used in analytical and data science work</li>
<li>Excellent prioritization instincts and ability to identify high-leverage work</li>
<li>Experience working across product, engineering, design, research, and commercial stakeholders</li>
<li>Ability to translate across functions and connect product decisions to customer and business outcomes</li>
<li>Strong leadership presence: credibility, judgment, communication, and follow-through</li>
<li>Experience building or evolving operating models, team scope, or cross-functional ways of working</li>
Ideally, experience in AI-native, SaaS, or fast-moving B2B product contexts 
<li>
</li>
</ul><h2 class="jobSectionHeader">What success looks like</h2>
<ul><li>Product and R&amp;D leaders actively rely on this person to shape priorities</li>
<li>Data science is involved early enough to influence direction, not just validate decisions late</li>
<li>Teams have a clearer view of product performance, opportunity size, and where intervention is needed</li>
<li>Product data science effort is focused on the highest-leverage opportunities</li>
<li>The interfaces between product data science and adjacent functions are clearer and more effective</li>
<li>The function becomes embedded in how critical Fin decisions get made</li>
<li>The overall quality of decision-making rises around the teams this person supports</li>
<li>The team evolves toward the right mix of capabilities for an AI-native product environment</li>
<li>AI is used to increase leverage in analysis and decision support without lowering rigor</li>
</ul><h2 class="jobSectionHeader">Why this role matters now</h2>

Fin is operating in a space where product ships incredibly fast, decisions move quickly, ambiguity is high, and the organization needs stronger clarity on where product data science can have the most impact.

We need a leader who can help shape the agenda, improve the system and operating model, and ensure product data science meaningfully changes outcomes.
<h2 class="jobSectionHeader">
Benefits</h2>

We are a well treated bunch, with awesome benefits! If there&rsquo;s something important to you that&rsquo;s not on this list, talk to us!
<ul>
<li>Competitive salary and equity in a fast-growing start-up.</li>
<li>We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.</li>
<li>Regular compensation reviews - we reward great work!</li>
<li>Pension scheme &amp; match up to 4%.</li>
<li>Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.</li>
<li>Flexible paid time off policy.</li>
<li>Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.</li>
<li>If you&rsquo;re cycling, we&rsquo;ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too.</li>
<li>MacBooks are our standard, but we also offer Windows for certain roles when needed.</li>
</ul>
#LI-Hybrid</div><div>
Policies

Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.

We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.</div></div>

Director, Product Analytics

Data Idols

<div><h2 class="jobSectionHeader">Senior Data Scientist</h2>
<h3 class="jobSectionHeader">Salary: &pound;85K &ndash; &pound;95K</h3>
<h3 class="jobSectionHeader">Location: London (Hybrid &ndash; 3 days per week)</h3>

Data Idols are working with an ambitious early-stage technology company that is building a machine learning platform capable of solving complex behavioural prediction problems at scale.

Already working with paying customers and backed by experienced founders with a successful track record of building and exiting technology businesses, they&rsquo;re now looking for a Senior Data Scientist to own one of the most important parts of the company.
<h3 class="jobSectionHeader">
The Opportunity</h3>

This isn&rsquo;t a role where you&rsquo;ll optimise an existing model or become another specialist in a large data science team.

You&rsquo;ll be responsible for designing and building the machine learning capability at the heart of the business. Rather than creating a single predictive model, you&rsquo;ll develop automated systems capable of generating, deploying and continuously improving bespoke machine learning models for every customer.

You&rsquo;ll work with large-scale behavioural event data, applying machine learning, feature engineering and experimentation to improve prediction accuracy and drive measurable customer outcomes.

Working alongside highly experienced founders and recognised experts in machine learning, you&rsquo;ll have the opportunity to influence product strategy, shape technical direction and establish best practices from day one.

This is a genuine ownership role where your work will have a direct impact on both the product and the future success of the business.
<h3 class="jobSectionHeader">
Skills &amp; Experience</h3>
<ul><li>Strong commercial experience building machine learning models in Python</li>
<li>Excellent understanding of predictive modelling, classification or propensity modelling</li>
<li>Experience with feature engineering, model evaluation and experimentation</li>
<li>Comfortable working across the full machine learning lifecycle</li>
<li>Experience working with cloud platforms and modern ML tooling</li>
<li>Curious and analytical mindset</li>
</ul>
If you&rsquo;re looking for a role where you&rsquo;ll solve genuinely difficult machine learning challenges, build something from the ground up and see the direct impact of your work, we&rsquo;d love to hear from you.
<h2 class="jobSectionHeader">
Senior Data Scientist</h2></div><div></div>

Senior Data Scientist

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

Explore 1076+ Product data scientist in London this July. Find roles across top companies and apply now to boost your career.