Senior Data Scientist

Who is Tide: At Tide, we're dedicated to saving businesses time and money. We are the leading provider of business accounts for UK's small and medium-sized enterprises (SMEs) and one of the fastest-growing FinTech companies in the UK. Leveraging advanced technology, we develop solutions specifically for SMEs. Our member-driven financial platform is revolutionizing the business banking market. In addition to providing our members with business accounts and related banking services, we also offer a comprehensive array of highly integrated administrative tools for businesses. Tide is about pursuing your passion. We're on the lookout for individuals to join us on this thrilling scale-up journey and contribute to something unique. We want driven Tideans to push for innovation and help construct a top-tier platform that supports our members. You should be comfortable in ambiguous scenarios and able to adapt to the budding FinTech landscape. Imagine impacting how millions of Tide members interact with- and discover business banking platforms, and building this on a global scale. What we're looking for: You are a data scientist who enjoys developing data products that captivate customers. You firmly believe in agile principles and implement them to deliver incremental value. You are eager to learn new methodologies and practices and directly apply them in your work. You are a quick study. Once on board with Tide, you’ll collaborate closely on a multitude of use cases pertaining to Risk & Compliance, Marketing-Customer Acquisition - Cross Sell/Up sell, Customer Churn, and Credit Models. As a Senior Data Scientist you’ll: - Work closely with the Business teams to produce impact like generating more revenue or optimizing costs or reducing risk using ML/Stats models. - Recognize business requirements and devise data products solutions to address them. - Develop imaginative solutions to construct relevant training data sets. - Train models and fine-tune hyperparameters. - Closely collaborate with our ML engineers to implement models. What makes you a great fit: - You have 4+ years of experience in Software development or Machine Learning. You are skilled in Python. - You have expert knowledge of Machine Learning tools/libraries - scikit-learn, statmodels, TensorFlow, Keras or PyTorch. - You have experience with big-data technologies like Spark, SparkML, Hadoop and have handled large data in a distributed processing environment. Knowledge of AWS, GCP or Azure (anyone) cloud is preferred. - You have excellent communication skills, including the ability to explain statistical concepts and technical tradeoffs to business users. - You are proficient in ML training, optimizing, feature selection and engineering, hyperparameter tuning and are knowledgeable about trade-offs in using different algorithms. - You are proficient in deploying a variety of ML algorithms, such as logistic regressions, boosted trees and neural networks. - You’re a self-starter - you're proactive in identifying opportunities and finding solutions to challenges with data. - You have good working knowledge of basic data table operations (SQL etc.) and data transformation in warehouse (dbt etc.). - You have a good working knowledge of business intelligence software (e.g. Looker) or usage of appropriate visualization plots in open source tools like matplotlib, seaborn or plotly for weaving the right story for stakeholders. - Familiarity with Financial Services and Fintech space is a plus. What you’ll get in return: Enjoy flexibility at work! We are adopting new ways of working and support flexible work arrangements. With our Working Out of Office (WOO) policy, you can work remotely from home or anywhere within your assigned Indian state. Furthermore, you can work from a different country or Indian state for up to 90 days per annum. Plus, you’ll receive: - Competitive salary - Self & Family Health Insurance - Term & Life Insurance - OPD Benefits - Mental wellbeing through Plumm - 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 Our working style at Tide: At Tide, we prioritize our members and make data-driven decisions, but at the core, we're One Team. Our Working Out of Office (WOO) policy permits you to work from anywhere worldwide for up to 90 days a year. We are a remote-first company, but our offices are always available and equipped to the highest standard whenever you want to connect with new people, team up with your colleagues, or simply socialize with other staff members. Tide is a place for everyone: At Tide, we believe that our diversity is what drives our success. Tideans come from various backgrounds and levels of experience. We respect every individual regardless of their ethnicity, religion, sexual orientation, gender identity, family or parental status, nationality, veteran status, neurodiversity status, or disability. We believe this diversity is the key to solving challenges creatively! We are One Team and foster an inclusive, transparent environment where everyone's voice matters. #LI-NN1 #LI-Remote