[Urgent] Senior Data Scientist...

About the roleWe are excited to be hiring a new Senior Data Scientist for our team! Ideally, this role will suit someone with a proven background in building models in credit, lending, or other areas of financial services. Lendable is the market leader in real rate risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card products.You will experiment with the latest machine learning techniques combined with a rich data repository to build and deploy best-in-market risk models.This role will primarily focus on our UK Cards business, but through team collaboration, you will be exposed to all areas of Lendable. Our team keeps up with the latest advancements in the industry through regular journal clubs.Our team’s objectives* The data science team develops proprietary machine learning models combining state-of-the-art techniques with a variety of data sources that inform scorecard development and risk management, optimise marketing and pricing, and improve operations efficiency.* Research new data sources and unstructured data representation.* Data scientists work across the business in a multidisciplinary capacity to identify issues, translate business problems into data questions, analyse and propose solutions.* Deliver data services to a wide variety of stakeholders by engineering CLI programs / APIs.* Design, implement, manage and evaluate experiments of products and services leading to constant innovation and improvement.How you’ll impact those objectives* Use your expertise to build and deploy models that contribute to the success of the business* Stay up to date with the latest advancements in machine learning and proactively propose new approaches and projects that drive innovation.* Learn the domain of products that Lendable serves, understanding the data that informs strategy and risk modelling.* Extract, parse, clean and transform data for use in machine learning.* Clearly communicate results to stakeholders through verbal and written communication.* Mentor other data scientists and promote best practices throughout the team and businessKey Skills* Knowledge of machine learning techniques and their respective pros and cons.* Ability to communicate complex topics clearly and concisely* Proficiency with creating ML models in Python with experiment tracking tools, such as MLFlow.* Curiosity, creativity, resourcefulness and a collaborative spirit* Interest in problems related to the financial services domain - a knowledge of Credit Cards is advantageous* Confident communicator and contributes effectively within a team environment* Experience mentoring or leading others* Self-driven and willing to lead on projects / new initiativesThe interview processWe’re not corporate, so we try our best to get things moving as quickly as possible. For this role, we’d expect:* A quick phone call with the talent team* Take home task* Task debrief and case study interview* Meet the leadership team* The opportunity to scale up one of theworld’s most successfulfintech companies*Best-in-classcompensation, including equity* You can work from homeevery Monday and Fridayif you wish - on the other days we all come together IRL to be together, build and exchange ideas*Our in-house chefsprepare fresh, healthy lunches in the office every Tuesday-Thursday* We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes toprivate health insurance* We're anequal opportunity employerand are keen to make Lendable the most inclusive and open workspace in London

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