Staff Data Scientist

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July 29

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Tide

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Finance • Fintech • B2B

Tide is an all-in-one business finance platform designed to help small and medium-sized enterprises (SMEs) manage their business finances more efficiently. It offers a range of services including business bank accounts, accounting tools, invoice management, business loans, and expense tracking. Serving over 1 million contractors, freelancers, and scaling businesses worldwide, Tide provides free business accounts and a host of integrated business tools. Tide is not a bank itself, but partners with ClearBank to offer FSCS-protected bank accounts, and it is regulated by the Financial Conduct Authority for electronic money and payment services. The platform is particularly popular in the UK, serving over 10% of all SMEs in the region, and it aims to simplify financial management for business owners so they can focus on what they love doing.

501 - 1000 employees

Founded 2015

💸 Finance

💳 Fintech

🤝 B2B

📋 Description

• 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: • 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

🎯 Requirements

• 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 • 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

🏖️ Benefits

• 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