Department: Data Science

Who are Tide:

At Tide, we’re on a mission to save businesses time and money. We’re the leading provider of UK SME business accounts and one of the fastest-growing FinTechs in the UK. Using the latest tech, we design solutions with SMEs in mind and our member-driven financial platform is transforming the business banking market. Not only do we offer our members business accounts and related banking services, but also a comprehensive set of highly connected admin tools for businesses.

Tide is about doing what you love. We’re looking for someone to join us on our exciting scale up journey and be a part of something special. We are wanting passionate Tideans to drive innovation and help build a best-in-class platform to support our members. You will be comfortable in ambiguous situations and will be able to navigate the evolving FinTech environment. Imagine shaping how millions of Tide members discover and engage with business banking platforms and building this on a global scale.

What we’re looking for:

Seasoned Senior Lead Data Scientist that can build and embed intelligence into the products that deliver significant business value to Partnership credit services business vertical of Tide

As the Senior Lead Data Scientist you’ll be:

• Work closely with our Partnership Credit Services team in order to solve business problems that drive effective decisions for the business. This would be in areas of Lender Behaviour, Lead Priority Engine and Intelligence to match Lenders with Prospective Members
• Come up with High level road map for Data Science initiatives that can aid decisioning and improve Business Performance
• Understand business requirements and solutionize data products in order to solve them
• Identify creative solutions in order to build relevant training data sets
• Train models and optimize hyperparameters
• Work closely with our machine learn engineers and data engineers in order to productionize models
• Come up with adoption of newer methods and methodologies
• Coach junior data scientists on best practices

What makes you a great fit:

• You have 10+ years of experience in Software development or Machine Learning. Strong in Python
• You have extensive experience working within financial services, especially Credit Services but not mandatory
• You have extensive experience with Machine Learning tools - scikit-learn , TensorFlow, Keras or PyTorch
• You have experience with big-data technologies such as Spark, SparkML, Hadoop etc. Strong knowledge of Cloud (AWS or other).
• You have excellent leadership skills - you have managed a team of data scientists before and coached them to become better versions of themselves
• You have excellent business acumen, you manage to translate business problems into data products
• You have excellent communication skills including the ability to explain statistical concepts and technical tradeoffs to business users
• You have experience in training, optimising and deploying a variety of ML-algorithms, such as logistic regressions, boosted trees and neural networks
• You’re a self-starter - you take initiative in spotting opportunities and finding ways to solve challenges with data
• Ability to deal with ambiguity and competing objectives in a fast paced environment
• Experience working in agile teams
• Familiarity with basic data table operations (SQL etc.), data transform in warehouse (dbt etc.) and business intelligence softwares (eg. Looker)
• Familiarity with model observability and explainability at scale

What you’ll get in return:

Make work, work for you! We are embracing new ways of working and 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. Additionally, you can work from a different country or Indian state for 90 days of the year. Plus, you’ll get:

• 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
• Stock Options

Tidean Ways of Working

At Tide, we’re Member First and Data Driven, 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 are remote first, but when you do want to meet new people, collaborate with your team or simply hang out with your colleagues, our offices are always available and equipped to the highest standard. We offer flexible working hours and trust our employees to do their work well, at times that suit them and their team.

Tide is a place for everyone

At Tide, we believe that we can only succeed if we let our differences enrich our culture. Our Tideans come from a variety of backgrounds and experience levels. We consider everyone irrespective of their ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status. We believe it’s what makes us awesome at solving problems! We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.

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