Women in Data®

About the Company

Women are hugely under-represented in the Data industry – as things stand, male Analysts and Data Scientists outnumber their female colleagues 4 to 1.

Addressing this imbalance isn’t just the right thing to do ethically. Data shows that everything from workplace satisfaction, to business profitability significantly improve when an organisation strives for greater diversity and inclusivity.

Women in Data® plays a key role in driving for more accurate representation wherever data is being gathered and analysed. We provide the platform that allows professionals at all levels to share their knowledge and experience, while working alongside businesses to help them embrace and develop the enormous advantages generated by diversity.

The changes we’re affecting are cultural and systemic.

Offering everything from professional networking and knowledge transfer, to our Women’s Health Commission, Women’s Safety Commission, MenopauseX and Girls in Data initiative.

Our work is creating measurable impact for the partners we support and the community we host.

Listed Jobs

Company Name

Women in Data®

Job Title

Associate Data Scientist

Job Description

**Job Title:** Associate Data Scientist **Role Summary:** Develop and deploy in‑house data science solutions that automate decision‑making and deliver actionable insights across the business. Work within cross‑functional agile squads to design, build, and maintain models and analytical products, ensuring high quality and effective communication of results to stakeholders. **Expectations:** - Deliver production‑ready machine‑learning models and analyses in a corporate environment. - Collaborate with engineers, product managers, and data engineers to translate business requirements into data‑driven solutions. - Present complex technical findings clearly to non‑technical audiences and influence decision‑making. - Take initiative and work independently while adhering to software engineering best practices. **Key Responsibilities:** - Design, implement, and validate predictive models (tree‑based, linear regression, etc.) using Python, SQL, and Scikit‑Learn. - Build data pipelines and perform feature engineering on clean, well‑documented datasets. - Deploy models to a production environment, manage model monitoring, and maintain performance metrics. - Conduct hypothesis testing, experimental design, and causal inference studies to support business decisions. - Participate in code reviews, pair programming, and knowledge‑sharing sessions to uphold code quality and continuous learning. - Collaborate with supply‑chain and retail teams on projects such as demand forecasting, price elasticity, and optimised product substitution. **Required Skills:** - Python (pandas, NumPy, sklearn, etc.) and SQL proficiency. - Strong statistical foundation: regression, hypothesis testing, experimental design. - Experience with tree‑based models and model deployment. - Familiarity with software engineering practices, Git, and code review processes. - Excellent presentation and business communication skills. - Ability to work independently, set goals, and deliver results. **Required Education & Certifications:** - Bachelor’s degree in mathematics, statistics, computer science, or a related STEM discipline. - Optional: Master’s or PhD in a quantitative field. - No mandatory certifications required; experience with industry tools and ML lifecycle is essential.

London, United kingdom

Hybrid

28-01-2026

Company Name

Women in Data®

Job Title

Machine Learning Engineer

Job Description

Job Title: Machine Learning Engineer Role Summary Responsible for designing, implementing, and maintaining MLOps and Agentic Ops frameworks to move offline machine learning models into scalable production environments. Drives best‑practice adoption, collaborates across data and engineering teams, and ensures seamless model integration with existing systems. Expectations Deliver robust, production‑grade ML infrastructure that meets quality, scalability, and security standards. Mentor peers in MLOps practices, share knowledge through internal and external communities, and proactively evaluate emerging technologies for capability enhancement. Key Responsibilities - Design and develop MLOps and Agentic Ops pipelines for model lifecycle management. - Convert data‑science prototypes into fully functional ML services. - Define and enforce best practices for model training, deployment, monitoring, and rollback. - Build and maintain scalable, secure microservices on Azure Databricks, Azure ML, and related ecosystems. - Contribute production‑ready code, conduct code reviews, and ensure CI/CD compliance. - Stay current with Azure, Databricks, MLflow, PySpark, Git, and MLOps trends; recommend improvements. - Communicate complex technical concepts to non‑technical stakeholders and facilitate cross‑functional collaboration. Required Skills - Proven experience building and operating end‑to‑end ML pipelines. - Strong command of Azure Databricks, Azure ML, MLflow, Git, Python, and PySpark. - Expertise in microservices architecture, DevOps, and MLOps/Agentic Ops practices. - Solid software development fundamentals, including version control, automated testing, and CI/CD. - Excellent communication and collaboration abilities. - Ability to explain technical solutions to business stakeholders. Required Education & Certifications - Bachelor’s degree (or higher) in Computer Science, Engineering, Data Science, or a related field. - Eligibility and authorization to work in the United Kingdom.

Redhill, United kingdom

Hybrid

11-02-2026

Company Name

Women in Data®

Job Title

Junior RPA Developer – 12 month FTC

Job Description

Job title: Junior RPA Developer – 12 month FTC Role Summary: Junior RPA Developer responsible for administering, maintaining, and troubleshooting robotic process automation (RPA) environments. Works collaboratively with senior engineers to support production automation, deliver BAU changes, and provide performance insights. Expections: • Deliver high‑quality RPA support and maintenance within a 12‑month fixed‑term contract. • Work dedicatedly in a dynamic, Agile/DevOps organization. • Communicate effectively with stakeholders and manage expectations across production lifecycles. Key Responsibilities: - Administer and maintain RPA environments, including process execution, Virtual Desktop Infrastructure (VDI) management, and log reviews. - Investigate and resolve process exceptions and production incidents to ensure timely issue resolution. - Support launch of new automations into production and assist with testing activities. - Provide operational performance insight, produce management information (MI), and evaluate automation quality and efficiency. - Deliver small BAU changes and fixes to maintain alignment with customer and business needs. - Communicate with stakeholders, manage expectations, identify risks/issues, and support mitigation actions. - Ensure compliance with agreed methodologies, standards, and governance requirements. Required Skills: - Experience working with digital or automated processes in production. - Understanding of automation concepts and Blue Prism. - Proficiency with core office software and data handling. - Fundamental SQL knowledge and capability to run basic queries. - Familiarity with programming languages supporting automation (e.g., VB, C#). - Ability to work collaboratively within Agile or DevOps environments. - Strong communication skills; ability to explain technical information clearly. - Proactive analytical mindset focused on continuous improvement. Required Education & Certifications: - Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field, or equivalent experience. - Blue Prism certification or other RPA certification is preferred but not mandatory.

Cardiff, United kingdom

Hybrid

Junior

24-02-2026