Senior Data Scientist

Key Skills

Apache Hadoop, AWS, Azure, Bagged/Boosted methods, Big Data Technology, Cloud computing, Effective communication skills, Fin-tech, Google Cloud Platform (GCP), Keras software library, Large data sets, Logistic Regression, Looker, Machine learning techniques, matplotlib, Neural Networks, plotly, Python Programming, PyTorch, Scikit-learn, seaborn, Software Development, SPARK Programming, SparkML, SQL, Statistical modeling, statsmodels, TensorFlow

Job Description

You are a Senior 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

Some of the things you’ll be doing: 

• Working closely with the Business teams to create impact like generate more revenue or optimise costs or reduce risk using ML/Stats models
• Understanding business requirements and solutionize data products in order to solve them
• Identifying creative solutions in order to build relevant training data sets
• Training models and optimize hyperparameters
• Working closely with our ML engineers in order to productionize models

What you’ll get in return:

• Competitive salary
• 25 days holiday
• Family medical insurance
• Life and accidental insurance
• We invest in your development with professional L&D budget Rs.40,000 per year
• Flexible working options.
• Stock Options

You’ll be a great fit if:

• 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

Who are Tide?

We’re the UK’s leading provider of smart current accounts for sole traders and small companies. We’re also on a mission to save business owners time and money on their banking and finance admin so they can get back to doing what they love - for too long, these customers have been under-served by the big banks.

Our offices are in London, UK, Sofia, Bulgaria and Hyderabad, India, where our teams are dedicated to our small business members, revolutionizing business banking for SMEs. We are also the leading provider of UK SME business accounts and one of the fastest-growing fintechs in the UK.

We’re scaling at speed with a focus on hiring talented individuals with a growth mindset and ownership mentality, who are able to juggle multiple and sometimes changing priorities. Our values show our commitment to working as one team, working collaboratively to take action and deliver results. Member first, we are passionate about our members and put them first. We are data-driven, we make decisions, creating insight using data.

We’re also one of LinkedIn’s top 10 hottest UK companies to work for.