Lead Data Scientist

Department: Data Science Who are Tide: At Tide, we’re dedicated to saving businesses time and money. We are the foremost provider of UK SME business accounts and one of the most rapidly growing FinTechs in the UK. Utilizing the newest technology, we create solutions with SMEs in mind, and our member-driven financial platform is revolutionizing the business banking market. Aside from providing our members with business accounts and related banking services, we also offer a variety of interconnected admin tools for businesses. Tide is about pursuing what you love. We’re seeking for someone to join our incredible scaling journey and to be part of something unique. We want passionate Tideans to drive innovation and assist us in building a best-in-class platform that serves our members. You will be comfortable in uncertain situations and capable of navigating the ever-changing FinTech landscape. Imagine influencing how millions of Tide members explore and interact with business banking platforms on a global scale. What we’re looking for: An experienced Lead Data Scientist capable of creating and incorporating intelligence into the products that provide substantial business value to the Partnership credit services business vertical of Tide. As the Lead Data Scientist you’ll: - Work closely with our Partnership Credit Services team to solve business problems and make effective decisions. This includes areas of Lender Behavior, Lead Priority Engine, and Intelligence to match Lenders with Prospective Members. - Develop a high-level roadmap for Data Science initiatives that can aid decision making and enhance Business Performance. - Understand business requirements and design data products to address them. - Identify imaginative solutions to create relevant training data sets. - Train models and optimize hyperparameters. - Collaborate with our machine learning engineers and data engineers to put models into production. - Adopt new methods and methodologies. - Mentor junior data scientists on best practices. What makes you a great fit: - You have over 7 years of experience in Software development or Machine Learning, with proficiency in Python. - You have extensive experience in financial services, especially Credit Services but it's not mandatory. - You have significant experience with Machine Learning tools - scikit-learn, TensorFlow, Keras, or PyTorch. - You have experience with big-data technologies such as Spark, SparkML, Hadoop etc., and a strong knowledge of Cloud (AWS or other). - You have exceptional leadership skills, having managed a team of data scientists and helped them grow. - You have a strong business acumen, and can effectively translate business problems into data products. - You have excellent communication skills, and can explain statistical concepts and technical tradeoffs to business users. - You have experience in training, optimizing, and deploying various ML-algorithms, such as logistic regressions, boosted trees, and neural networks. - You’re a self-starter who takes initiative in identifying opportunities and finding ways to solve challenges with data. - You can deal with ambiguity and competing objectives in a fast-paced environment. - You have experience working in agile teams. - You’re familiar with basic data table operations (SQL etc.), data transformations in data warehouses (dbt etc.) and business intelligence software (e.g., Looker). - You’re familiar with model observability and explainability at scale. What you’ll get in return: You can make work fit you! We are embracing new work methods and support flexible work arrangements. Our Working Out of Office (WOO) policy allows our colleagues to work remotely from home or anywhere in their assigned Indian state. Plus, also have the option to work from a different country or Indian state for 90 days of the year. In addition to this, you’ll get: - A competitive salary - Health insurance for self and family - Term & Life Insurance - OPD Benefits - Mental wellbeing support through Plumm - A Learning & Development Budget - WFH Setup allowance - 15 days of Privilege leaves - 12 days of Casual leaves - 12 days of Sick leaves - 3 paid days off for volunteering or L&D activities - Stock Options Tidean Ways of Working: At Tide, we prioritize our Members and Data but above all, we’re One Team. Our Working Out of Office (WOO) policy allows you to work from anywhere in the world for up to 90 days a year. We primarily operate remotely, but our offices are always available and equipped to high standards for those times when you want to meet new people, collaborate with your team, or simply spend time with your colleagues. Tide is a place for everyone: At Tide, we believe that our your success is defined by your differences. Our Tidean team members come from diverse backgrounds and levels of experience. We consider everyone without discriminating based on their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity status, or disability. We believe it’s what makes us excellent problem solvers! We are one team and we foster an environment that is transparent and inclusive, where each voice is heard.