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Women in Tech UK

Women in Tech UK

www.womenintech.co.uk

11 Jobs

2 Employees

About the Company

Welcome to Women in Tech - a collaborative community in the UK dedicated to empowering women in STEM to make career choices through news, guidance, inspirational case studies, job opportunities and events.

Listed Jobs

Company background Company brand
Company Name
Women in Tech UK
Job Title
Head of Supplier Risk
Job Description
**Job Title:** Head of Supplier Risk **Role Summary:** Lead and oversee the Starling Group’s Supplier Risk function, developing and implementing a comprehensive framework to manage supplier-related risks across the organization. Drive continuous improvement of processes, tools, and data strategy while ensuring compliance with regulatory requirements and industry best practices. **Expectations:** - Deliver a robust, scalable supplier risk management framework aligned with Group strategy. - Maintain governance and oversight of all supplier risk activities, ensuring adherence to legal and regulatory obligations. - Mentor and develop a high-performing supplier risk team, fostering a culture of accountability and continuous improvement. **Key Responsibilities:** - Define and implement the Group’s supplier risk framework, including policies, processes, and tooling. - Lead, coach, and develop the supplier risk team. - Ensure compliance with laws, regulations, and industry standards (e.g., SS1/21, SS2/21, EBA Outsourcing Guidelines, SYSC8, CP17/24). - Design and manage data strategy and third‑party risk management (TPRM) systems. - Conduct supplier assurance and audit processes for IT security, business continuity, concentration, privacy, financial crime, and modern slavery compliance. - Collaborate with cross‑functional stakeholders to integrate supplier risk considerations into broader risk, compliance, and operational resilience strategies. **Required Skills:** - Extensive experience in supplier risk management, including supplier assurance and audit. - Deep knowledge of key risk domains: IT Security/InfoSec, BCM/Operational Resilience, Concentration Risk, GDPR, FinCrime, Modern Slavery Act. - Understanding of regulatory requirements (SS1/21, SS2/21, EBA Guidelines, SYSC8, CP17/24, OCIR). - Proficiency with TPRM systems and data management. - Strong leadership, team development, and influencing skills within a matrix organization. - Advanced analytical, problem‑solving, and decision‑making capabilities. - Experience in business process design, improvement, and project management. **Required Education & Certifications:** - Bachelor’s degree in Business, Finance, Risk Management, or related field (Master’s preferred). - Relevant professional certifications (e.g., CTP, RIMS‑Risk, GRC, or equivalent) are a plus.
London, United kingdom
On site
Senior
17-01-2026
Company background Company brand
Company Name
Women in Tech UK
Job Title
Senior Data Scientist
Job Description
**Job Title:** Senior Data Scientist **Role Summary:** Lead advanced analytics initiatives to transform public services, delivering evidence‑based insights from large, heterogeneous government datasets. Serve as a technical architect, mentor, and stakeholder liaison to inform decision‑making and drive strategic priorities within a high‑impact digital transformation programme. **Expectations:** - Design and implement scalable data‑science pipelines using R, Python, and SQL. - Translate complex analytical insights into actionable business recommendations for technical and non‑technical audiences. - Foster a culture of data excellence through coaching, mentoring, and knowledge sharing with junior analysts and cross‑functional teams. - Champion responsible, ethical data use and maintain rigorous data governance standards. **Key Responsibilities:** - Build, validate, and deploy predictive and descriptive models across health and social care programmes. - Integrate and transform diverse data sources (structured, semi‑structured, and time‑series) to support new service features and performance measurement. - Collaborate with product, design, engineering, and strategy teams to align analytical outputs with programme objectives. - Define and track key performance indicators, reporting on impact against goals. - Conduct robust experimentation (A/B testing, causal inference) to evaluate interventions and drive continuous improvement. - Mentor junior data scientists, review code, and maintain best‑practice standards. - Present findings to senior leadership and external stakeholders, tailoring technical detail to audience knowledge. **Required Skills:** - Advanced proficiency in Python, R, and SQL; experience with big‑data frameworks (Spark, Hadoop) is a plus. - Strong background in machine‑learning, statistical modelling, and data‑visualisation tools (e.g., matplotlib, ggplot2, Tableau). - Proven ability to manage full‑project lifecycle from problem scoping to solution delivery. - Excellent written and verbal communication; adept at simplifying complex concepts. - Leadership and coaching experience, with a track record of building and developing analytics teams. - Familiarity with data‑privacy regulations (GDPR, Data Protection Act) and ethical data‑science practices. **Required Education & Certifications:** - Bachelor’s or Master’s degree in STEM (Science, Technology, Engineering, Mathematics) or related field, preferably at the Master’s level. - Demonstrated professional data‑science credentials (e.g., certificates in machine learning, analytics, or data engineering) are desirable. - Evidence of industry‑relevant qualification and continuous professional development.
Sheffield, United kingdom
Hybrid
Senior
31-01-2026
Company background Company brand
Company Name
Women in Tech UK
Job Title
Business Security Consultant
Job Description
Job Title: Business Security Consultant Role Summary: Operates as the primary operational security liaison for a highly secure government programme, ensuring day‑to‑day security compliance, incident handling, and governance for the client engagement. Expectations: Maintain a high‑assurance security posture, act as a trusted client contact, manage incidents, review change requests, support audits, promote awareness, and comply with contractual and regulatory demands while working within a high‑trust environment. Key Responsibilities: - Manage and monitor day‑to‑day operational security for the engagement. - Handle security incidents, coordinate corrective actions, and report status. - Serve as the main point of contact for personnel, physical, cyber, and technical security. - Review security implications of change requests. - Participate in security audits, assurance activities, and continuous improvement initiatives. - Promote security awareness and best practices across delivery teams. - Oversee secure onboarding and off‑boarding of programme personnel. - Identify, highlight, and close security risks, issues, and compliance gaps. Required Skills: - Strong background in cyber or operational security, preferably in defence or similarly high‑security environments. - Expertise in vulnerability, patch management, and IT infrastructure security. - Ability to communicate effectively with senior stakeholders and technical teams. - Calm, professional demeanor, collaborative mindset, and eagerness to learn. - Proficiency in written and verbal communication. - Excellent problem‑solving and incident‑management capabilities. Required Education & Certifications: - UK Security Clearance (or eligibility to obtain it). - Relevant security or IT certifications (e.g., CISMP, CompTIA Security+, ITIL) or candidacy towards such credentials. - Minimum of a bachelor’s degree in Computer Science, Information Security, or related field.
Ceredigion, United kingdom
On site
04-02-2026
Company background Company brand
Company Name
Women in Tech UK
Job Title
Data Scientist
Job Description
**Job title:** Data Scientist **Role Summary:** Apply machine learning and data‑engineering techniques to enhance automation on the ServiceNow platform, focusing on the Virtual Agent. Own end‑to‑end data science projects, turning analytics into actionable insights that scale across a government‑wide digital service. **Expactations:** - Deliver production‑ready ML models (classification, clustering, regression) that improve user interactions and reduce manual effort. - Communicate findings clearly to technical and non‑technical stakeholders, influencing product and service design. - Collaborate with developers, product owners, researchers, and designers to prototype, validate, and iterate solutions. - Uphold privacy, security, and ethical standards in all data‑science activities. **Key Responsibilities:** 1. Design, develop, and deploy ML models within ServiceNow, using Python, R, SQL, and Power BI. 2. Analyse user interaction data to identify success metrics, failure points, and opportunities for automation. 3. Translate analytics outcomes into clear project deliverables and actionable recommendations. 4. Prioritise improvements, plan experiments, and quantify measurable business impact. 5. Maintain reproducible data‑science workflows in Jupyter/notebook environments. 6. Foster best practices and knowledge sharing across multidisciplinary teams. **Required Skills:** - Proficiency in Python (core language) and data‑science libraries (Pandas, NumPy, scikit‑learn). - Experience modelling classification, clustering, or regression problems for real business challenges. - Familiarity with Jupyter/notebook workflows and iterative model development. - Strong communication and storytelling skills for mixed‑audience presentations. - Understanding of Agile methodology and experience collaborating in cross‑functional teams. - Knowledge of SQL, R, and Power BI for data extraction, analysis, and reporting. **Required Education & Certifications:** - Bachelor's degree or higher in STEM (Science, Technology, Engineering, or Mathematics). - Verification of qualification required at application.
Leeds, United kingdom
Hybrid
09-02-2026