Lead Data Scientist(Gen AI)

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

A talented Data Scientist (DS-3) with generative AI expertise to contribute to the development and implementation of advanced AI solutions. You'll work on generative AI projects, applying your skills in LangChain, LangGraph, SQL, Python, AWS Bedrock, and Databricks to solve business challenges as part of our innovative team.

As a Lead Data Scientist you'll be:

• Implementation & Development: Implement generative AI solutions leveraging AWS Bedrock and Databricks based on established architectural patterns
• Technical Execution: Apply your expertise in generative AI, LLMs, and related technologies to deliver high-quality solutions
• Cross-Functional Collaboration: Work with product, engineering, and business teams to understand requirements and implement effective AI solutions Statistical Analysis: Apply appropriate statistical methods to validate models and hypotheses
• Data Analysis: Conduct thorough exploratory data analysis and handle data quality issues effectively Feature Engineering: Implement feature engineering techniques for ML models, including dimensionality reduction and feature selection
• Model Development: Build and tune generative AI models using frameworks like LangChain and LangGraph with proper regularization techniques
• Intent Classification: Implement intent detection systems combining LLMs with data analysis techniques
• Response Generation: Develop components for generating structured responses by combining AI with business rules
• Continuous Learning: Stay current with generative AI techniques and apply new approaches to improve solutions
• Documentation & Knowledge Sharing: Create clear documentation and share knowledge with team members
• Testing & Validation: Thoroughly test generative AI applications to ensure they meet requirements and quality standards

• 6+ years of experience in data science, machine learning, or related field 1+ years of hands-on experience with generative AI, large language models (LLMs), or natural language processing
• Experience with traditional NLP models and techniques Strong proficiency in Python and SQL for data retrieval and processing
• Solid understanding of statistics, hypothesis testing, and probability distributions
• Experience with LangChain, LangGraph for implementing AI workflows
• Understanding of prompt engineering, RAG (Retrieval Augmented Generation), and fine-tuning techniques for LLMs Experience implementing intent detection systems using generative AI Familiarity with rule-based systems to augment AI capabilities
• Experience with cloud platforms, particularly AWS services
• Familiarity with Knowledge Graphs for LLM use cases
• Knowledge of evaluation approaches for generative AI outputs
• Experience with Databricks or similar data processing platforms

• Advanced degree in Computer Science, Data Science, Machine Learning, or related field
• Experience in customer support AI applications Knowledge of vector databases and embedding techniques
• Familiarity with semantic search technologies
• Experience with data pipelines and ETL processes
• Knowledge of software development best practices including version control
• Contributions to data science or AI projects or communities

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

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.

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 @tide.co 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.

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