Staff Data Scientist

Remote Company; Remote; GBP 70,000 - 90,000; Full time

Job summary

A digital payment solutions firm is seeking a Staff Data Scientist to lead the development and deployment of machine learning models that drive business performance. The role involves identifying strategic AI opportunities and collaborating with cross-functional teams to implement data-driven solutions. Strong experience in classical ML techniques, Python, and agentic AI, along with excellent communication skills, is essential. This company embraces diversity and offers a flexible remote working environment, comprehensive benefits, and a commitment to personal development.

Benefits

Attractive salaries

Stock options

Retirement plans

Private healthcare

Unlimited holidays

Paid family leave

Annual learning fund

Qualifications

• Proven track record of deploying ML models in production.
• Extensive experience with classical ML techniques.
• Demonstrated expertise with agentic AI and LLMs.
• Strong analytical skills with sound business judgment.
• Excellent communication with technical and non-technical stakeholders.

Responsibilities

• Identify and research AI and ML opportunities for business value.
• Design ML models for pricing optimization and customer insights.
• Collaborate with cross-functional teams to implement ML solutions.
• Mentor team members in best practices for model deployment.
• Monitor and improve existing models in production.

Skills

Classical ML techniques

Python programming

Problem-solving abilities

Communication skills

Tools

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Job description

Paddle offers digital product companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we’re a Merchant of Record for our customers. That means we take away 100% of the pain of payment fragmentation. It’s faster, safer, cheaper, and, above all, way better.

We’re backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 5000 software sellers in 245 territories globally.

The Role:

As a Staff Data Scientist, you will identify and drive new strategic opportunities, such as pricing, support automation, and KYB automation, through advanced machine learning models and analytics. You will design comprehensive systems, including data capture, operational processes, experimentation frameworks, and feedback mechanisms. You'll lead end-to-end model development and deployment processes, leveraging classical ML methods (boosted trees, neural networks, regressions) and LLM based methods based on agentic AI. You will collaborate across teams to ensure seamless integration and productionization of solutions that significantly impact business performance.

What you'll do:

• Work with different teams in order to identify and research opportunities to use AI and ML opportunities in order to generate business value.
• Leverage a wide range of machine learning techniques, including boosted trees, neural networks, regressions, to solve problems such as pricing optimization or mining of insights of customer support queries.
• Explore and implement state-of-the-art agentic AI and Large Language Model (LLM) solutions to automate and enhance processes.
• Conduct rigorous experimentation, testing, and validation to optimize model performance and ensure alignment with business objectives.
• Collaborate closely with cross-functional teams, including Product Management, Analytics Engineering, Platform Engineering, and Customer Operations, to operationalize data-driven solutions.
• Act as a mentor and technical leader, advocating for best practices in model development and deployment.
• Continuously monitor and iterate on models in production, maintaining high standards for accuracy and performance.
• Partner with business units to help evaluate AI solutions and to build systems which generate business impact.
• Design, develop, and deploy machine learning models into production, ensuring scalability, reliability, and maintainability.

We'd love to hear from you:

• Proven track record of successfully deploying machine learning models into production environments.
• Extensive experience with classical ML techniques (boosted trees, neural networks, regressions, clustering, etc.).
• Demonstrated expertise with agentic AI, prompt engineering, and leveraging Large Language Models (e.g. LangChain / Graph).
• Proficiency in Python and key data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
• You are an industry expert in Model development, deployment and MLOPs practices.
• Strong analytical and problem-solving abilities coupled with sound business judgment.
• Excellent communication skills, capable of engaging both technical and non-technical stakeholders effectively.

Everyone is welcome at Paddle

At Paddle, we’re committed to removing invisible barriers, both for our customers and within our own teams. We recognise and celebrate that every Paddler is unique and we welcome every individual perspective. As an inclusive employer, we don’t care if, or where, you studied, what you look like or where you’re from. We’re more interested in your craft, curiosity, passion for learning and what you’ll add to our culture. We encourage you to apply even if you don’t match every part of the job ad, especially if you’re part of an underrepresented group.

Please let us know if there’s anything we can do to better support you through the application process and in the workplace. We will do everything we can to support any accommodations needed. We’re committed to building a diverse team where everyone feels safe to be their authentic self. Let’s grow together.

Why you’ll love working at Paddle

We are a diverse, growing group of Paddlers across the globe who pride ourselves on our transparent, collaborative and respectful culture.

We live and breathe our values, which are:

• Paddle for others
• Paddle together
• Paddle simply

We offer a full suite of benefits, including attractive salaries, stock options, retirement plans, private healthcare and well-being initiatives.

We are a ‘digital-first’ company, which means you can work remotely, from one of our stylish hubs, or even a bit of both! We offer all team members unlimited holidays and 4 months of paid family leave regardless of gender. We invest in learning and will help you with your personal development via constant exposure to new challenges, an annual learning fund, and regular internal and external training.