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- Tasks: Own model development for underwriting, fraud, and customer conversion using ML.
- Company: Join a challenger fintech focused on fair and transparent consumer credit.
- Benefits: Earn up to ÂŁ75k, enjoy hybrid work, bonus schemes, and 25-30 days holiday.
- Why this job: Make a real impact in a collaborative team while working with cutting-edge data technology.
- Qualifications: Strong Python and SQL skills; experience in behavioural or credit models required.
- Other info: No sponsorship available; ideal for those passionate about ethical fintech.
The predicted salary is between 60000 - 84000 ÂŁ per year.
Direct message the job poster from Datatech AnalyticsSenior Data Scientist – Consumer Credit ModellingHybrid – London | Up to £75,000 DOE + BenefitsRef: J12979We\’re working with a consumer finance business that\’s rethinking credit, making it fairer, simpler, and powered by data.Think challenger fintech with a clear focus on transparency and real-world impact.The RoleYou\’ll take full ownership of model development—building and deploying ML models that directly shape decisions across underwriting, fraud, and customer conversion. It\’s a hands-on, end-to-end role, working with both structured and unstructured data in a collaborative, fast-paced team.What We\’re Looking ForStrong Python (pandas, sklearn, etc.) and advanced SQLExperience building behavioural or credit modelsGood grasp of ML algorithms, not just how to run themClear communicator across technical and non-technical teamsSolid awareness of data drift and model monitoringExcellent data visualisation—You know how to make ideas landDegree in Computer Science, Maths, Stats, or similarBonus Points ForExperience in credit cards or consumer lendingExposure to deep learning (Keras, TensorFlow)Familiar with Git, Tableau, BitbucketMaster\’s in Data Science or related fieldWhat\’s on OfferUp to £75k depending on experience25–30 days holiday + birthday offHybrid working (London)Enhanced family-friendly policiesGreat culture and a chance to make a real impactPlease note: sponsorship is not available for this role.#datascience #fintechjobs #creditrisk #consumerfinance #ml #ethicalfintech #hiring #behaviouralmodelling #pythonjobs #datatechjobsSeniority levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionAnalyst, Science, and AdvertisingIndustriesConsumer Services, Financial Services, and BankingReferrals increase your chances of interviewing at Datatech Analytics by 2xSign in to set job alerts for \”Data Scientist\” roles.London, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 2 days agoLondon, England, United Kingdom 5 days agoLondon, England, United Kingdom 2 weeks agoGreater London, England, United Kingdom 3 weeks agoLondon, England, United Kingdom 19 hours agoLondon, England, United Kingdom 1 day agoLondon, England, United Kingdom 1 week agoData Scientist, Internship, United Kingdom – BCG XLondon, England, United Kingdom 3 days agoData Scientist – Data Science Analytics and Enablement (DSAE)London, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 4 days agoLondon, England, United Kingdom 1 month agoGreater London, England, United Kingdom 6 days agoLondon, England, United Kingdom 4 weeks agoLondon, England, United Kingdom 4 weeks agoWoking, England, United Kingdom 2 days agoLondon, England, United Kingdom 6 days agoLondon, England, United Kingdom 3 days agoLondon, England, United Kingdom 3 weeks agoLondon, England, United Kingdom 5 days agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 1 day agoLondon, England, United Kingdom 1 month agoLondon, England, United Kingdom 2 weeks agoWe\’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.#J-18808-Ljbffr
Senior Data Scientist Consumer Credit employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist Consumer Credit
✨Tip Number 1
Familiarise yourself with the latest trends in consumer credit and fintech. Understanding the current landscape will help you engage in meaningful conversations during interviews and demonstrate your passion for the industry.
✨Tip Number 2
Brush up on your Python and SQL skills, especially focusing on libraries like pandas and sklearn. Being able to showcase your technical prowess in these areas can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with model development and data visualisation. Be ready to share specific examples of how you've built and deployed models, as well as how you've communicated complex data insights to non-technical stakeholders.
✨Tip Number 4
Network with professionals in the fintech space, particularly those involved in consumer credit. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the company culture at StudySmarter.
We think you need these skills to ace Senior Data Scientist Consumer Credit
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and any relevant machine learning projects. Emphasise your ability to build and deploy models, as well as your understanding of data drift and model monitoring.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about consumer credit and how your skills align with the company's mission to make credit fairer and simpler. Mention specific examples of your work with behavioural or credit models.
Showcase Your Communication Skills: Since the role requires clear communication across technical and non-technical teams, include examples in your application that demonstrate your ability to convey complex ideas effectively to diverse audiences.
Highlight Relevant Education and Experience: Clearly state your degree in Computer Science, Maths, Stats, or a related field. If you have a Master’s in Data Science or experience in credit cards or consumer lending, make sure to highlight this prominently in your application.
How to prepare for a job interview at Datatech Analytics
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python and SQL during the interview. Be prepared to discuss specific projects where you've built behavioural or credit models, as this will demonstrate your hands-on experience and understanding of the tools required for the role.
✨Communicate Clearly
Since the role involves working with both technical and non-technical teams, practice explaining complex concepts in simple terms. This will show that you can bridge the gap between different stakeholders and ensure everyone is on the same page.
✨Demonstrate Your Understanding of ML Algorithms
Be ready to discuss various machine learning algorithms and their applications, not just how to implement them. This shows a deeper understanding of the subject and your ability to choose the right model for specific problems.
✨Prepare for Data Visualisation Questions
Since excellent data visualisation skills are essential for this role, think of examples where you've effectively communicated insights through visual means. Bring along any relevant portfolios or examples to showcase your ability to make ideas land.