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 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 mínimal 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