Posted 3 Nov 2023, 7:25 am

Senior Data Scientist at Careers at Tide

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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:

You are a data scientist, who loves to build data products that delight customers. You strongly believe in agile principles and use them to deliver value incrementally. You are eager to learn about new methodologies and practices and apply them directly in your work. You are a quick learner.

Once you’ve joined Tide, you will be working closely on lot of use cases with respect to Risk & Compliance, Marketing- Customer Acquisition - CrossSell / Up sell, Customer Churn, Credit Models 

As a Senior Data Scientist you’ll be:

  • Work closely with the Business teams to create impact like generate more revenue or optimise costs or reduce risk using ML/Stats models
  • 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 ML engineers in order to productionize models

What makes you a great fit: 

  • You have 4+ years of experience in Software development or Machine Learning. Strong in Python
  • You have expert knowledge with Machine Learning tools/libraries - scikit-learn, statmodels, TensorFlow, Keras or PyTorch
  • You have experience with big-data technologies such as Spark, SparkML, Hadoop etc. and have handled large data in distributed processing environment. AWS, GCP or Azure (anyone) cloud knowledge 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 have knowledge 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 take initiative in spotting opportunities and finding ways to solve challenges with data and also weave good 
  • You have good working knowledge with basic data table operations (SQL etc.), data transform in warehouse (dbt etc.) 
  • You have a good working knowledge in business intelligence softwares (eg. Looker) or use appropriate visualization plots in open source like matplotlib, seaborn or plotly for weaving the right story for the stakeholders
  • Familiarity with Financial Services and Fintech space is preferred 

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

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.

#LI-NN1 #LI-Remote

 

 



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