
Empowering SMEs with tailored financial solutions
Tide is a fintech company headquartered in the City of London, UK, dedicated to providing tailored financial services for SMEs. With over 1 million customers globally and 650,000 in the UK, Tide offers a range of products including business accounts and accountancy tools. The company has raised $410...
Tide offers a comprehensive benefits package including 25 days of paid holiday leave, flexible working arrangements, and a personal development budget...
Tide's culture is centered around addressing the needs of underserved small businesses, providing fast and affordable financial solutions. With a focu...
Tide is seeking a Staff Data Scientist to collaborate with various teams to drive data initiatives and deliver business objectives. You'll utilize skills in Python, SQL, and machine learning to generate insights and improve processes. This role requires significant experience in data science and analytics.
You have extensive experience in data science, with a strong background in Python and SQL — you've successfully developed and deployed machine learning models that drive business decisions and improve operational efficiency. Your analytical skills are top-notch, allowing you to extract meaningful insights from complex datasets and communicate them effectively to stakeholders.
You are proficient in data visualization techniques and tools — you understand how to present data in a way that is accessible and actionable for non-technical team members. Your experience working with cross-functional teams has equipped you with the ability to collaborate effectively with product managers, analysts, and engineers to achieve common goals.
You are familiar with data governance practices and understand the importance of data quality and integrity — you have experience implementing best practices in data management and ensuring compliance with relevant regulations. Your problem-solving skills are exceptional, and you thrive in environments where you can tackle challenging data-related issues.
Experience in the fintech industry is a plus, as it gives you a unique perspective on the challenges faced by SMEs in managing their finances. Familiarity with cloud platforms such as AWS or GCP can enhance your ability to work with large datasets and leverage advanced analytics tools.
As a Staff Data Scientist at Tide, you will play a crucial role in driving data initiatives that align with the company's objectives — you will work closely with the Business Team and Product Managers to define and track key performance indicators that measure success. Your expertise in machine learning will be essential as you develop models that inform decision-making and optimize processes across the organization.
You will lead projects that focus on data ingestion, processing, and analysis — your ability to design and implement end-to-end data pipelines will be critical in ensuring that data is readily available for analysis. You will also mentor junior data scientists and analysts, sharing your knowledge and helping them grow in their roles.
Collaboration is key in this role, as you will engage with various teams to identify data needs and develop solutions that drive efficiency — you will facilitate workshops and discussions to gather requirements and ensure that data initiatives are aligned with business goals. Your insights will help shape product development and enhance the overall customer experience.
At Tide, we are committed to fostering a diverse and inclusive workplace where everyone can thrive — we offer competitive compensation packages and opportunities for professional development. You will have access to cutting-edge tools and technologies that empower you to excel in your role.
We believe in the importance of work-life balance and offer flexible working arrangements to support your needs. Join us in transforming the small business banking market and making a meaningful impact on the lives of our members.
We encourage you to apply even if your experience doesn't match every requirement — we value curiosity, a growth mindset, and a passion for data-driven decision-making.
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