Senior Lead Data Scientist

Department: Data Science Who are Tide: At Tide, we're committed to helping businesses save time and money. We've emerged as the leading provider of UK SME business accounts and are one of the fastest-growing FinTechs in the UK. Utilizing the latest technology, we've designed solutions keeping SMEs in mind, and our member-focused financial platform is revolutionizing the business banking market. Not only do we provide business accounts and other banking services to our members, but also a wide range of highly integrated administrative tools for businesses. Join us at Tide as we embark on our exciting growth journey, and the opportunity to be part of something special. We're looking for passionate individuals to drive innovation and contribute towards building a superior platform for our members. Ideally, you should be comfortable dealing with ambiguous circumstances and adapting to the ever-changing FinTech landscape. Imagine the opportunity to shape how millions of Tide members discover and interact with business banking platforms on a global scale. What we're looking for: We are seeking a seasoned Senior Lead Data Scientist who can incorporate intelligence into the products that deliver significant business value to the Partnership credit services business vertical of Tide. As the Senior Lead Data Scientist your responsibilities will include: - Collaborating with our Partnership Credit Services team to solve business issues that facilitate effective decisions for the business. - Creating a high-level roadmap for Data Science initiatives that can assist decision-making and enhance Business Performance. - Understanding business needs and formulating data products to address these needs. - Identifying innovative solutions to create relevant training data sets. - Training models and adjusting hyperparameters. - Working closely with our machine learning and data engineers to put models into production. - Encouraging the adoption of newer methods and methodologies. - Mentoring junior data scientists on best practices. What makes you a great fit: - You have over 10 years of experience in Software development or Machine Learning. You're strong in Python. - You have significant experience within financial services, especially Credit Services. However, it's not mandatory. - You have experience working with Machine Learning tools such as scikit-learn, TensorFlow, Keras, or PyTorch. - You have experience with big-data technologies such as Spark, SparkML, Hadoop etc. and strong knowledge of Cloud (AWS or other). - You're a proven leader. You have managed a team of data scientists before and coached them to become better versions of themselves. - You possess excellent business acumen. You have a knack for translating business problems into data products. - You have excellent communication skills and can explain statistical concepts and technical trade-offs to business users. - You have experience in training, optimizing, and deploying a variety of ML-algorithms such as logistic regressions, boosted trees, and neural networks. - You're a driven individual, proactive in identifying opportunities and brainstorming solutions to challenges with data. - You can handle 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 transformation in a warehouse (dbt, etc.) and business intelligence softwares (e.g., Looker). - You're familiar with model observability and explainability on a large scale. What you'll get in return: Embrace the flexibility to curate your own work style! We support flexible working arrangements. With our Working Out of Office (WOO) policy, our colleagues can work remotely from home or anywhere in their assigned Indian state. Plus, we offer you the opportunity to work from a different country or Indian state for up to 90 days per year. Apart from these, we offer: - Competitive salary - Self & Family Health Insurance - Term & Life Insurance - Outpatient Department (OPD) benefits - Mental wellbeing support through Plumm - Learning & Development Budget - Work From Home (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 rely on data, but more than anything, we are a unified team. Our Working Out of Office (WOO) policy lets you work from anywhere in the world for up to 90 days per year. We primarily operate remotely, but our offices are always available and equipped to the highest standard when you need to connect with new people, collaborate with your team, or just enjoy time with your colleagues. We offer flexible working hours and place our trust in our employees to deliver work effectively, at the times that suit them and their team best. Tide is a place for everyone: At Tide, we believe that our success depends on embracing our differences. Our Tideans hail from a multitude of backgrounds and experiences. We consider all individuals regardless of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity, or disability. We believe this diversity is what makes us excellent problem solvers! We function as one team and strive for transparency and inclusivity, ensuring every voice is heard. #LI-SJ1 #LI-Remote