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We are seeking a Data Scientist – Security & Intelligence to develop analytical solutions that support informed decision-making in complex and fast-moving environments. You will work with large, varied datasets to identify patterns, assess risks, uncover emerging threats and generate actionable intelligence. The role will involve collaborating with analysts, engineers, operational teams and senior stakeholders to translate business and security challenges into effective data-driven approaches.

Your responsibilities will include collecting, cleaning and integrating structured and unstructured data from multiple sources; designing and deploying statistical, machine learning and predictive models; and communicating findings through clear reports, visualisations and briefings. You will help establish robust analytical methodologies, monitor model performance, identify data quality issues and contribute to the responsible use of data. You may also support the development of automated workflows, dashboards and tools that improve intelligence production, risk assessment and operational awareness. A strong focus on confidentiality, ethical analysis, data protection and secure working practices is essential.

We are looking for someone with professional experience in data science, analytics, security, intelligence, risk or a related field. You should have strong programming skills in Python or R, sound knowledge of SQL, and practical experience with statistical analysis, machine learning and data visualisation. Familiarity with technologies such as cloud platforms, distributed data processing, geospatial analysis, natural language processing or graph analytics would be advantageous. You will be able to explain technical concepts to non-technical audiences, challenge assumptions constructively and work effectively with sensitive information. Strong analytical thinking, attention to detail, sound judgement and the ability to manage competing priorities are essential. Relevant academic qualifications or equivalent practical experience are welcomed, alongside a commitment to continuous learning and professional integrity.

We are seeking a Data Scientist – Security & Intelligence to develop evidence-based insights that support complex security, risk and intelligence operations. Working with analysts, investigators, engineers and operational stakeholders, you will transform diverse and often imperfect data into clear, actionable intelligence. You will contribute to projects involving threat detection, risk assessment, anomaly identification, network analysis, forecasting and the evaluation of emerging risks.

You will design, build and validate statistical models, machine learning solutions and analytical tools using structured and unstructured data. Responsibilities will include gathering and preparing data from multiple sources, identifying meaningful patterns, developing repeatable analytical workflows and communicating findings to both technical and non-technical audiences. You will assess model performance, monitor data quality, document methodologies and ensure that analytical outputs are robust, explainable and appropriate for operational use. You may also support the development of dashboards, visualisations and automated reporting processes, while contributing to the continuous improvement of data science practices, governance and responsible use of information.

The successful candidate will have experience applying data science, statistics or machine learning to real-world problems, along with strong programming skills in Python, R or a similar language. Familiarity with SQL, data visualisation, natural language processing, geospatial analysis, graph analytics or anomaly detection would be advantageous. You should be comfortable working with sensitive information, managing ambiguity and explaining technical concepts with clarity. A methodical approach, sound judgement, curiosity and a strong commitment to ethics, confidentiality and data protection are essential. Experience in security, intelligence, fraud, investigations, public-sector analysis or another risk-focused environment is desirable, but candidates who can demonstrate transferable analytical expertise are encouraged to apply.

We are seeking a Data Scientist – Cybersecurity Analyst to support the identification, investigation and mitigation of cyber threats in a complex and fast-moving environment. Based in Cheltenham, this role will combine data science, security analysis and practical problem-solving to help protect critical systems, services and information. You will work with large and varied datasets, develop analytical methods and provide clear, evidence-based insight to support operational and strategic security decisions.

Key responsibilities will include collecting, cleaning and analysing security-related data from multiple sources; identifying patterns, anomalies and indicators of compromise; and developing statistical, machine-learning or rules-based approaches to detect emerging threats. You will contribute to threat hunting, incident investigations, vulnerability assessments and the continuous improvement of monitoring and detection capabilities. The role will also involve building dashboards, reports and visualisations for technical and non-technical audiences, documenting analytical findings, and communicating recommendations clearly to colleagues and stakeholders. You may be required to collaborate with security engineers, intelligence specialists, incident responders and wider technology teams on projects from initial requirements through to implementation and review.

Applicants should have experience in data analysis, data science, cybersecurity, or a closely related discipline, together with strong skills in Python, SQL or comparable analytical tools. Knowledge of statistical modelling, machine learning, data visualisation and common security concepts such as network traffic, malware, authentication, vulnerabilities and threat intelligence is desirable. You should be comfortable working with incomplete or ambiguous information, testing hypotheses and explaining complex results in a concise and accessible way. A methodical approach, strong attention to detail, sound judgement and a commitment to responsible handling of sensitive information are essential. Relevant qualifications or professional experience in computer science, mathematics, engineering, cybersecurity or a related field would be advantageous.

We are seeking a Data Scientist - Cybersecurity Analyst to help strengthen cyber defence through advanced analytics, threat intelligence and proactive risk identification. You will analyse large and complex datasets from security tools, networks, applications and business systems to uncover suspicious activity, emerging threats and vulnerabilities. Your work will support informed security decisions, improve detection capabilities and contribute to the ongoing protection of critical information and services.

Key responsibilities include developing and maintaining data models, dashboards and analytical methods for identifying anomalous behaviour; investigating security alerts and incidents using statistical analysis, machine learning and data visualisation; and translating technical findings into clear, actionable recommendations for both technical and non-technical stakeholders. You will collaborate with security operations, engineering, infrastructure, governance and risk teams to improve monitoring, automate repetitive processes and enhance incident response. You will also contribute to threat hunting, vulnerability analysis, security reporting and the continuous refinement of detection rules and analytical techniques.

The successful candidate will have experience in data science, cybersecurity, threat intelligence, security operations or a closely related field. You should be confident using Python, SQL and relevant analytical or visualisation tools, with practical knowledge of statistical modelling, machine learning and data preparation. An understanding of security concepts such as network traffic analysis, identity and access management, intrusion detection, endpoint security, cloud environments and common attack frameworks is essential. Strong problem-solving, communication and documentation skills are required, along with the ability to manage competing priorities and handle sensitive information responsibly. Relevant professional certifications or a degree in data science, computer science, cybersecurity, mathematics or a related discipline would be advantageous.

We are seeking a highly skilled Senior Data Scientist specializing in Privacy & Security Controls to join our dynamic team. In this role, you will lead the development and implementation of advanced analytical models to ensure data privacy and security across various platforms. You will be responsible for analyzing complex datasets, identifying vulnerabilities, and creating solutions that adhere to compliance regulations. Collaborating with cross-functional teams, you will help to design and enhance privacy and security features within our products while ensuring that data handling practices meet industry standards.

The ideal candidate will possess a strong background in data science, machine learning, and statistical analysis, with a deep understanding of privacy laws and security frameworks. You will leverage your expertise to assess risk and implement effective controls that protect sensitive information. Additionally, you will mentor junior data scientists, providing guidance on best practices in data privacy and security analysis. Excellent communication skills are essential, as you will be required to present findings and recommendations to stakeholders at all levels.

If you are passionate about data privacy and security, and thrive in a fast-paced environment, we invite you to apply for this exciting opportunity to make a meaningful impact.

We are seeking a highly skilled Senior Data Scientist specializing in Privacy & Security Controls to join our dynamic team. In this role, you will be responsible for developing and implementing advanced data analytics solutions that ensure the privacy and security of sensitive information. You will work closely with cross-functional teams to design data-driven strategies that mitigate risks, enhance compliance, and promote best practices in data governance. Your expertise will be pivotal in analyzing large datasets to identify vulnerabilities and recommend actionable insights that support organizational objectives.

The ideal candidate will possess a deep understanding of data privacy regulations, security frameworks, and ethical data management practices. You will leverage machine learning and statistical techniques to create models that detect anomalies and predict potential security breaches. Additionally, you will collaborate with stakeholders to provide training on privacy and security measures, ensuring all team members are equipped with the knowledge necessary to uphold data integrity. Strong communication skills are essential, as you will be presenting findings and recommendations to both technical and non-technical audiences.

To excel in this role, you should have a proven track record in data science, with proficiency in programming languages such as Python or R, along with experience in data visualization tools. A Master's degree in a related field and relevant certifications in data privacy or security are highly desirable. If you are passionate about protecting data and excited to drive innovation in privacy and security controls, we encourage you to apply.

We are seeking a motivated and analytical Graduate Data Scientist to join our Cyber Analytics team in Cheltenham, United Kingdom. In this role, you will be responsible for analyzing large datasets to uncover patterns, trends, and anomalies that can enhance our cybersecurity measures. You will work closely with experienced data scientists and cybersecurity professionals to develop and implement data-driven solutions that protect sensitive information and mitigate cyber threats.

Your primary duties will include collecting, processing, and analyzing complex datasets using statistical methods and machine learning techniques. You will also be expected to create visualizations and reports that communicate findings to both technical and non-technical stakeholders. Additionally, you will assist in the development of predictive models and algorithms that improve threat detection and response capabilities within the organization. A strong emphasis will be placed on collaboration, as you will be part of a dynamic team working towards innovative cybersecurity solutions.

To be successful in this role, you should possess a degree in Data Science, Computer Science, Statistics, or a related field. Proficiency in programming languages such as Python or R, as well as experience with data visualization tools, is crucial. Familiarity with cybersecurity concepts and tools will be advantageous. We are looking for individuals who are eager to learn, can think critically, and are passionate about leveraging data to address real-world challenges. If you are ready to embark on an exciting career in data science and cybersecurity, we encourage you to apply.