Staff Data Scientist

ABOUT TIDE

At Tide we help SMEs save time (and money) in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected administrative solutions from invoicing to accounting.

Tide is transforming the small business banking market with over 1.6 million members globally across the UK, India, Germany and France. Using advanced technology, all solutions are designed with SMEs in mind. With quick onboarding, low fees and innovative features, we thrive on making data-driven decisions to help SMEs save both time and money.

Tide facts:

• Tide is available for UK, Indian, German and French SMEs
• Over 1.6 million members: 800,000 UK and 800,000 in India and growing rapidly
• Over $200 million raised in funding
• Over 2500 Tideans globally - we're diversity champions
• We have offices in Central London, with a member support and technology centre in Sofia, Bulgaria, technology centres in Serbia, Romania, Lithuania and Hyderabad and offices in Gurugram and New Delhi, India

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 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 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.

 
Disclaimer
 
It has come to our attention that individuals or agencies are falsely claiming to represent Tide and are reaching out to candidates regarding job opportunities. Please be aware that:

• Tide does not charge any fees at any stage of the recruitment process.
• All official Tide job opportunities are listed exclusively on our Careers Page and applications should be submitted through this channel.
• Communication from Tide will only come from an official  email address.
• Tide does not work with agencies or recruiters without prior formal engagement, and we do not authorize third parties to make job offers on our behalf.

If you are contacted by anyone misrepresenting Tide or requesting payment, please treat it as fraudulent and report it to us immediately at
Your safety and trust are important to us, and we are committed to ensuring a fair and transparent recruitment process.

Tide leverages AI to enhance our hiring experience. You can read more about how we use AI in our recruitment process in our AI Policy.

Your personal data will be processed by Tide for recruitment purposes and in accordance with Tide's Recruitment Privacy Notice.

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