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Senior Data Scientist

Codat Technologies Limited

Job Overview

Location

Remote

Job Type

Full-time

Full Job Description

📋 Description

• As a Senior Data Scientist at Codat, you will be instrumental in shaping the future of our advisory intelligence solution, a platform designed to revolutionize commercial banking. You will operate at the intersection of cutting-edge data science, artificial intelligence, and practical business application, driving innovation and delivering tangible value to our clients. This role is for a seasoned professional who thrives on tackling complex, ambiguous challenges and possesses a strong desire to both lead technically and mentor others.
• You will serve as a technical leader and mentor within the data science team. This involves fostering a culture of continuous improvement, driving technical excellence in all aspects of our work, and actively guiding junior team members. Your expertise will be crucial in establishing best practices for the design, development, and ongoing support of our data-driven products. Furthermore, you will take the lead on significant technical initiatives, contributing to critical architectural decisions that will shape the scalability and robustness of our platform.
• A core aspect of this role is domain-oriented problem-solving. We expect you to go beyond surface-level technical specifications and develop a profound empathy for our clients' needs. By deeply understanding the nuances of their connected financial data, you will leverage this domain expertise to influence product strategy, challenge existing assumptions, and architect solutions that deliver genuinely actionable intelligence. This client-centric approach ensures our data science efforts are always aligned with delivering maximum business impact.
• You will be a key driver of AI-driven innovation. This means proactively identifying and prototyping opportunities to embed advanced AI and Machine Learning techniques into our core products. Your work will be pivotal in elevating our offering, introducing novel capabilities, and delivering unique value to our clients. Beyond product innovation, you will champion the adoption of AI tools to streamline our engineering operations, enhance team productivity, and facilitate upskilling across the entire team, fostering a more AI-literate environment.
• In your day-to-day work, you will leverage AI to maximize your own productivity. This includes efficiently conducting research, gathering critical information, and rapidly building sophisticated solutions. You will be action-oriented, eager to take ownership of large-scale projects, and capable of championing ideas from the initial discovery phase all the way through to successful production deployment.
• This role requires a strategic yet tactical mindset. You will need to balance a clear understanding of the big-picture vision with the ability to execute hands-on. This involves threading the needle between delivering value quickly and building robust, scalable foundations for our products and internal capabilities. Your ability to manage both speed and quality will be essential for sustained success.
• Strong communication skills are paramount. You must be able to articulate complex data science concepts and solutions effectively to a diverse audience, including both technical and non-technical team members. As a collaborative team player, you will thrive in a multidisciplinary environment, working closely with other engineers and teams to achieve shared goals.
• Codat operates on a set of core values: Stay Curious (seeking to understand the 'Why?' for better decision-making), Progress Over Polish (moving things forward, making clear calls, and learning through action and feedback), and Own It (challenging openly, committing fully, and taking responsibility for outcomes). We expect all team members to embody these values in their work and interactions.
• Your responsibilities will include developing and deploying machine learning models, designing and implementing data pipelines, conducting exploratory data analysis, and contributing to the overall data strategy of the company. You will work with large, complex datasets, transforming raw data into actionable insights that drive business decisions and enhance our product offerings. Collaboration with product managers, engineers, and other stakeholders will be a constant, ensuring alignment and maximizing the impact of your work.
• You will be expected to stay abreast of the latest advancements in data science and AI, continuously learning and applying new techniques to solve business problems. This includes exploring areas like natural language processing, time-series analysis, and graph neural networks, depending on the evolving needs of the business. Your contributions will directly impact the intelligence and effectiveness of Codat's platform, helping our banking clients to deepen relationships, grow revenue, and simplify their operations.
• Ultimately, you will be a key figure in Codat's journey, driving data-driven decision-making, fostering innovation, and contributing to a high-performing, collaborative engineering culture. Your impact will be felt across the product, the team, and the company as a whole.

🎯 Requirements

• A broad and deep understanding of a wide range of data science techniques, including classic ML, deep learning, and cutting-edge AI & Agents, honed through extensive practical experience across a range of domains.
• Expert-level proficiency in Python and its data science ecosystem (e.g., scikit-learn, pandas), with the ability to select the right tools for complex problems and set technical standards for the team.
• Advanced, hands-on expertise in SQL and big data platforms like Databricks, used for sophisticated data manipulation, feature engineering, and optimizing complex data workflows.
• Extensive, proven experience in MLOps, owning the end-to-end lifecycle of production models, including designing scalable and reliable deployment strategies (e.g., serverless applications, containerization) and model monitoring, observability, and continuous improvement.
• Strong proficiency in designing and utilizing CI/CD pipelines and cloud infrastructure (e.g., AWS, GCP, Azure) to automate and streamline the delivery of data science products, with an appreciation of wider software development best practices and how they can be applied.
• Exceptional ability to articulate complex data science concepts and solutions, influencing both technical and non-technical stakeholders and shaping product strategy through clear, data-driven narratives.
• An intuitive understanding of why data protection and security practices are important.
• A degree in a STEM subject.

🏖️ Benefits

• Competitive salary and equity package.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holidays.
• Remote-first work environment with flexible working hours.
• Opportunities for professional development and continuous learning.
• Collaborative and inclusive company culture.
• Exposure to cutting-edge technology and a rapidly growing industry.

Skills & Technologies

Python

AWS

Azure

GCP

Data Science

Senior

Remote

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Codat Technologies Limited

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About Codat Technologies Limited

Codat is a global technology company that provides an API-first data connectivity platform for small businesses. Their platform enables software providers to connect to their customers' accounting, banking, and commerce systems, facilitating the seamless exchange of data. This integration allows businesses to automate processes, gain deeper insights, and improve decision-making. Codat's solution is designed to be universal, supporting a wide range of data sources and applications. By simplifying data access, Codat empowers businesses with the information they need to operate more efficiently and effectively, driving growth and innovation across various industries. They aim to be the standard for business data connectivity.

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