Head of Data Science

RedCloud Technology, Ltd.; City of London; On-site; GBP 90,000 - 120,000; Full time

Job summary

A technology firm in London seeks a Head of Data Science to lead data-driven initiatives and manage a high-performing team. The ideal candidate will have extensive experience in data science, machine learning, and cloud platforms, ensuring alignment with business goals. This role offers competitive benefits, including enhanced pension and private healthcare.

Benefits

25 days Annual leave, increasing after 12 months

Enhanced Company Pension

Healthcare Cashplan with Medicash

Private Healthcare with Aviva

Life Insurance with AIG

Discount platform access through Happl

Stock / Equity options

Qualifications

• Significant experience as a senior leader in a data science or AI‑related role.
• Deep technical knowledge of the data science lifecycle.
• Proficiency in Python, R, or SQL.
• Experience with data science/libraries and cloud-based tools.

Responsibilities

• Develop and implement data science and AI strategies.
• Build and manage a high-performance data science team.
• Define the technical roadmap for machine learning engineering.
• Collaborate with stakeholders to meet business needs.

Skills

Leadership experience in data science

Strategic vision for data-driven initiatives

Technical understanding of machine learning

Team building and management

Communication of complex ideas

Business problem-solving

Tools

Python

R

SQL

AWS SageMaker

TensorFlow

PyTorch

Snowflake

Job description

Head of Data Science – RedCloud

Location: London, England, United Kingdom
Seniority level: Director
Employment type: Full-time
Job function: Engineering & Information Technology
Industries: Technology, Information & Internet

About the Company

The global supply chain is broken—creating a $2 trillion inventory gap where essential consumer goods fail to reach the people who need them. Brands miss sales, distributors mismanage stock, and retailers face empty shelves, leading to higher prices, slower growth, and lost opportunity. RedCloud is fixing this by offering a digital trading platform that connects key parts of the supply chain. Through AI and machine learning, we deliver predictive market insight and trading recommendations that facilitate smarter business decisions from factory to warehouse to store. Headquartered in London, RedCloud became a publicly listed company on Nasdaq (RCT) in March 2025. With a diverse team spanning Africa, the Middle East, Europe, and Latin America, we’re building a more connected and efficient global trade network.

About the Role

The ideal candidate will bring strong leadership experience in data science, a strategic vision for data-driven initiatives, and a proven track record of delivering business impact. Key requirements include a deep technical understanding of data science, machine learning, and MLOps, the ability to build and lead teams, communicate complex ideas to stakeholders, and align data strategy with broader business goals. You will play an integral role, taking ownership of a team focused on designing, developing, and deploying ML systems to solve real‑world problems and enhance business processes, leveraging cloud platforms to build, train, and scale ML models. As Head of Data Science, you will lead the development and implementation of state‑of‑the‑art algorithms, including Computer Vision techniques, LLMs, and other GenAI models. You will collaborate closely with multiple stakeholders and cross‑functional teams, integrating AI solutions into existing systems, translating challenges into efficient AI‑driven products, and keeping up with the latest advancements in AI.

What You’ll Do

• Strategic leadership: Develop and implement data science and AI strategies, aligning them with company‑wide objectives.
• Team leadership: Build, manage, and inspire a high‑performing data science team through setting objectives, performance management, and talent development.
• Technical direction: Define the technical roadmap, champion best practices, and drive the transition to production‑level machine learning engineering.
• Stakeholder management: Collaborate with senior leaders and other stakeholders to identify new opportunities and ensure data science solutions meet business needs.
• Innovation and delivery: Oversee the design, development, and deployment of data science solutions, from research to production, and maintain a focus on innovation.
• Communication: Translate complex data science concepts into clear, compelling, and user‑friendly information for various audiences, including senior leadership.
• Governance and ethics: Ensure data governance and ethics are embedded in organizational strategy and champion these principles across the company.

What You’ll Need

• Leadership and management: Significant experience as a senior leader in a data science or AI‑related role, with a track record of managing multi‑disciplinary teams and budgets.
• Technical expertise: Deep technical knowledge of the entire data science lifecycle, including data engineering, machine learning, and MLOps.
• Programming and analytics: Proficiency in Python, R, or SQL, and experience with various data science and machine learning libraries.
• Experience with libraries/frameworks such as NumPy, Pandas, SciPy, Scikit‑learn, TensorFlow, PyTorch, Transformers, Langchain, Streamlit, or Gradio, among others.
• Experience with cloud‑based tools for production use (e.g., AWS SageMaker, AWS Bedrock, Vertex AI, Azure Machine Learning, Azure OpenAI).
• Knowledge of databases and data technologies, such as Snowflake, BigQuery, and relational databases like SQL.
• Business acumen: Strong understanding of how to apply data science techniques to solve business problems and deliver tangible value.
• Communication and influence: Excellent communication skills with the ability to build trust, influence stakeholders, and advocate for data‑driven decisions.
• Project management: Proven ability to scope, design, implement, and evaluate data science projects to tight deadlines.

Benefits

Working with a pioneering provider of eCommerce solutions you will have the opportunity to join an international company that is growing massively, encouraging ambition and creativity.

• 25 days Annual leave, increasing to 26 days after 12 months in the business
• Enhanced Company Pension (Matched up to 5% & Salary Sacrifice)
• Healthcare Cashplan with Medicash
• Private Healthcare with Aviva
• Life Insurance with AIG
• Happl, our benefit platform which provides access to pre‑negotiated discounts on a wide variety of services including entertainment, food, and fitness.
• Stock / Equity