Staff Data Scientist

Job description

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 2,000 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 you’ll 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)
• You’ve 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)
• You’re 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
• You’re 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 don’t 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, 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 thatsupports 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 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 .