Staff Data Scientist

ABOUT TIDE

At Tide we are building a business management 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 products and 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

As Staff Data Scientist for the business area you will work closely with the Business Team Product Managers Data Governance team Analysts Scientists and Data Engineers in order to deliver Company Business Product OKRs (Objectives and Key Results). You will also look into data initiatives that drive efficiency in the e2e (end to end) process from data ingestion to insight generation including data science / machine learning models for decisioning.

This role is an excellent opportunity for anyone who is interested in helping /building/embedding data initiatives into several products in a rapidly scaling environment. You will be able to influence our roadmap learn about best practices and be able to quickly see the impact of your work.

As a Staff Data Scientist youll be:

• Design and implement end-to-end GenAI and Agentic AI solutions leveraging AWS Bedrock and Databricks. This includes building Retrieval Augmented Generation (RAG) pipelines and multi-agentic systems to solve
• Build and optimize generative AI models with a focus on fine-tuning and prompt engineering using frameworks like LangChain and LangGraph. Implement regularization and architectural design patterns to ensure model reliability and prevent overfitting
• Collaborate with ML engineers to deploy models establish CI/CD pipelines for GenAI and implement robust model tracking and observability
• Implement systems to detect and address model drift hallucinations and safety guardrail failures ensuring a high level of operational integrity
• Develop and plan our roadmap for our domain analytics and data engineering & science team
• Run scrum ceremonies with our Product/Business team
• Triage requests create the work breakdown structure and assign it to respective Engineers/Scientists
• Work with Engineers Scientists and governance team to identify challenges they face and work with them to identify solutions to these problems
• Ensure stakeholders are updated and informed about changes in our domain specific data needs
• Build and track metrics for the performance of our Engineering & Science team. Feedback to Product and Business Teams
• Ability to deal with ambiguity and propose innovative solutions without getting blocked

WHAT ARE WE LOOKING FOR

• You have 10 years of experience in Software development or Machine Learning. With 4 years of product management experience and at least 2 years as a Product Owner embedding data initiatives into products especially Data Science and Machine Learning
• Hands-on experience with LangGraph or similar frameworks for building reusable and scalable multi-agentic workflows
• Deep understanding of prompt engineering RAG pipeline design (including chunking embedding strategies and vector store optimization) and fine-tuning techniques for LLMs
• Hands-on experience with both quantitative and qualitative evaluation metrics for GenAI including benchmarks for RAG pipelines and methods for assessing the reliability and performance of agentic systems
• You can prioritise ML Data Science and Machine Learning product roadmaps for the respective businesses based on OKRs and priorities
• You have a deep understanding of managing technical products with a background in data
• You have a high level understanding with big-data technologies such as Spark SparkML Hadoop etc. Strong knowledge of Cloud (AWS or other)
• Youve delivered on fast-growing product-focused company before as a Data Manager or Data Lead or Data Program manager (products where the customer is retail or small business - as opposed to internal-facing tools)
• Youre organised pragmatic and capable of engaging guiding and leading cross functional teams or managing large scale enterprise products.
• You have technical knowledge and experience and have strong empathy for developer audience
• Youre a self-starter who can work comfortably in a fast-moving company where priorities can change and processes may need to be created from scratch with minimal guidance.
• You have significant experience working with varied stakeholders
• You have good technical knowledge in SQL strong in Python programming
• You have a good understanding on how the performance optimization works in the end to end data pipeline including ML/DS inferencing
• You have excellent leadership skills - you have managed a team of data scientists before and coached them to become better versions of themselves

OUR TECH STACK (You dont have to excel in all but willing to learn them):

• Databricks on AWS
• Python
• Snowflake
• Tecton - feature store
• Fiddler - model observability platform

WHAT YOU WILL 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 youll 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.

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 everyones 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 everyones voice is heard.

• Tide doesnotcharge any fees at any stage of the recruitment process.
• All official Tide job opportunities are listed exclusively on ourCareers Pageand applications should be submitted through this channel.
• Communication from Tide will only come from an official@tide.coemail address.
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