Senior/Lead Data Scientist
India, Bengaluru
- Remote-first
- Website
- @TideBusiness 𝕏
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Tide
All your business finance needs in one app, from banking to credit. Join over 650,000 UK SMEs, and get back to doing what you love.ABOUT TIDE
At Tide, we are building a finance platform designed to save small businesses time and money. We provide our members with business accounts and related banking services, but also a comprehensive set of connected administrative solutions from invoicing to accounting.
Launched in 2017, Tide is now used by over 1 million small businesses across the world and is available to UK, Indian and German SMEs. Headquartered in central London, with offices in Sofia, Hyderabad, Delhi, Berlin and Belgrade, Tide employs over 2000 employees.
Tide is rapidly growing, expanding into new markets and always looking for passionate and driven people. Join us in our mission to empower small businesses and help them save time and money.
ABOUT THE ROLE:
Seasoned 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 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 WE ARE LOOKING FOR:
- You have 6+ 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
- You have ability to deal with ambiguity and competing objectives in a fast paced environment
- You have experience working in agile teams
- You have familiarity with basic data table operations (SQL etc.), data transform in warehouse (dbt etc.) and business intelligence softwares (eg. Looker)
- You have 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 champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams.
While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.
#LI-NN1 #LI-Remote
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 or differently-abled status. We celebrate diversity in our workforce as a cornerstone of our success. Our commitment to a broad spectrum of ideas and backgrounds is what enables us to build products that resonate with our members’ diverse needs and lives.
We are One Team and foster a transparent and inclusive environment, where everyone’s voice is heard.
At Tide, we thrive on diversity, embracing various backgrounds and experiences. We welcome all individuals regardless of ethnicity, religion, sexual orientation, gender identity, or disability. Our inclusive culture is key to our success, helping us build products that meet our members' diverse needs. We are One Team, committed to transparency and ensuring everyone’s voice is heard.
You personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Banking Business Intelligence dbt Finance Hadoop Keras Looker Machine Learning Privacy Python PyTorch Scikit-learn Spark SparkML SQL Statistics TensorFlow
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flex vacation Health care Home office stipend Insurance Team events Transparency
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