Position: Data Science Manager, RWE Machine Learning We are seeking a highly qualified and motivated Data Science Manager, RWE Machine Learning to join our dynamic and growing team. The successful candidate will be part of a collaborative, high-performance environment committed to excellence. Responsibilities Include: Collaborate with data engineers and business teams to provide clean, reliable analytical data. Collect, process, and analyse large datasets using statistical and machine learning methods. Ensure data quality, accuracy, and integrity through validation and governance frameworks. Document data architecture, lineage, and metadata management practices comprehensively. Present analytical findings to technical and non-technical stakeholders with clarity. Design and maintain end-to-end data pipelines, ETL workflows, and analytical models. Identify trends, anomalies, and patterns to generate actionable business intelligence. Apply predictive and prescriptive analytics to solve complex business challenges. Skills and Qualifications: A structured, results-driven approach with the ability to meet defined milestones consistently. Strong communication, presentation, and interpersonal skills across all organisational levels. Bachelor's or master's degree in a related discipline with strong academic and professional credentials. Demonstrated teamwork skills and the ability to build trust and rapport across functions. Willingness to travel, adapt, and take on additional responsibilities as the business demands. Hands-on experience with tools, software, and platforms standard to the profession. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We offer a competitive remuneration package commensurate with experience and market standards. Qualified candidates are encouraged to apply.

Position: Lead Data Engineer We are seeking a highly qualified and motivated Lead Data Engineer to join our dynamic and growing team. The successful candidate will be part of a collaborative, high-performance environment committed to excellence. Core Responsibilities: Work with stakeholders to define data requirements and translate them into analytical solutions. Collaborate with data engineers and business teams to provide clean, reliable analytical data. Document data architecture, lineage, and metadata management practices comprehensively. Build interactive dashboards and reports that translate insights into business narratives. Maintain and optimise databases, data warehouses, and cloud-based data environments. Develop and validate machine learning models ensuring scalability and production readiness. Ensure data quality, accuracy, and integrity through validation and governance frameworks. Collect, process, and analyse large datasets using statistical and machine learning methods. Minimum Qualifications: Expertise in applying quantitative and qualitative methods to support evidence-based decisions. Superior writing and communication skills with experience preparing executive-level documents. Excellent attention to detail and commitment to producing accurate, high-quality deliverables. Knowledge of applicable regulatory frameworks, industry standards, and compliance requirements. Relevant undergraduate or postgraduate degree aligned with the role's core responsibilities. Strong project management capabilities with experience in agile or structured methodologies. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We offer a competitive remuneration package commensurate with experience and market standards. Qualified candidates are encouraged to apply.

Position: Senior Data Scientist An exciting career opportunity exists for a motivated Senior Data Scientist to advance their professional journey. This role sits within a fast-paced, innovation-driven organisation that values integrity and continuous improvement. Main Accountabilities: Build A/B testing frameworks and experimentation infrastructure for product teams. Collaborate with engineering teams to embed analytics and AI into core product workflows. Build self-service analytics capabilities that empower business teams to explore data. Design data models and schemas optimised for analytical and high-performance workloads. Train, evaluate, and deploy machine learning models across classification and regression tasks. Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Develop scalable data engineering pipelines to ingest, transform, and serve data. Ensure compliance with data governance, privacy regulations, and security standards. Essential Skills and Experience: Collaborative, proactive, and able to operate effectively with minimal supervision. Expertise in applying quantitative and qualitative methods to support evidence-based decisions. Strong project management capabilities with experience in agile or structured methodologies. Relevant undergraduate or postgraduate degree aligned with the role's core responsibilities. Knowledge of applicable regulatory frameworks, industry standards, and compliance requirements. Superior writing and communication skills with experience preparing executive-level documents. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. The organisation provides a comprehensive benefits package and excellent career advancement opportunities for the right candidate.

Position: Data Scientist Internship (Undergraduate and Graduate) We are expanding our team and seek a driven Data Scientist Internship (Undergraduate and Graduate) who brings expertise, initiative, and professionalism. The selected professional will thrive in a data-driven, efficiency-focused, and collaborative work environment. Scope of Responsibilities: Design and maintain end-to-end data pipelines, ETL workflows, and analytical models. Ensure data quality, accuracy, and integrity through validation and governance frameworks. Maintain and optimise databases, data warehouses, and cloud-based data environments. Document data architecture, lineage, and metadata management practices comprehensively. Develop and validate machine learning models ensuring scalability and production readiness. Present analytical findings to technical and non-technical stakeholders with clarity. Work with stakeholders to define data requirements and translate them into analytical solutions. Build interactive dashboards and reports that translate insights into business narratives. Competencies and Qualifications: Ability to work both independently and in a team-oriented, collaborative environment. Exceptional organisational skills with the ability to handle multiple concurrent responsibilities. Commitment to ongoing professional learning and industry knowledge enhancement. Bachelor's degree in a relevant discipline; master's degree or professional certification is preferred. At least 24 years of hands-on experience in a comparable professional setting. Detail-oriented mindset with the ability to synthesise and present complex information clearly. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We are committed to fostering an inclusive workplace and welcome applications from candidates of all backgrounds.

Position: Senior Data Scientist A dynamic organisation seeks an experienced Senior Data Scientist to take on a multifaceted and impactful role. This is an opportunity to be part of a purpose-driven team reshaping industry standards and best practices. Main Accountabilities: Design data models and schemas optimised for analytical and high-performance workloads. Develop scalable data engineering pipelines to ingest, transform, and serve data. Build A/B testing frameworks and experimentation infrastructure for product teams. Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Optimise SQL queries, stored procedures, and database performance across environments. Train, evaluate, and deploy machine learning models across classification and regression tasks. Collaborate with engineering teams to embed analytics and AI into core product workflows. Build self-service analytics capabilities that empower business teams to explore data. Essential Skills and Experience: Superior writing and communication skills with experience preparing executive-level documents. Knowledge of applicable regulatory frameworks, industry standards, and compliance requirements. Relevant undergraduate or postgraduate degree aligned with the role's core responsibilities. Strong project management capabilities with experience in agile or structured methodologies. Collaborative, proactive, and able to operate effectively with minimal supervision. 4+ years of experience with a demonstrated track record of growth and professional impact. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We value talent and invest in our people this role offers both professional challenge and meaningful rewards.

Position: Data Science, Director Machine Learning We are looking for a strategic and detail-oriented Data Science, Director Machine Learning to deliver excellence across key functions. The organisation fosters a culture of continuous learning, development, and shared organisational accountability. Duties and Accountabilities: Present analytical findings to technical and non-technical stakeholders with clarity. Collaborate with data engineers and business teams to provide clean, reliable analytical data. Identify trends, anomalies, and patterns to generate actionable business intelligence. Design and maintain end-to-end data pipelines, ETL workflows, and analytical models. Build interactive dashboards and reports that translate insights into business narratives. Maintain and optimise databases, data warehouses, and cloud-based data environments. Ensure data quality, accuracy, and integrity through validation and governance frameworks. Develop and validate machine learning models ensuring scalability and production readiness. Key Skills and Qualifications: Critical and strategic thinking skills with the ability to translate insights into clear actions. Leadership experience with a track record of guiding teams, projects, or cross-functional initiatives. Commitment to professional ethics, confidentiality, and the highest standards of conduct. Effective presentation skills with the ability to communicate complex ideas with clarity. 5+ years of experience with demonstrated progression in scope, complexity, and responsibility. Sound understanding of organisational dynamics and stakeholder management in complex environments. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Successful candidates will receive access to ongoing professional development and industry-leading resources.

Position: Data Science Strategist - Marquee Sales Strats A compelling career opportunity exists for a skilled Data Science Strategist - Marquee Sales Strats to drive meaningful impact. The organisation fosters a culture of continuous learning, development, and shared organisational accountability. Responsibilities Include: Apply predictive and prescriptive analytics to solve complex business challenges. Ensure data quality, accuracy, and integrity through validation and governance frameworks. Design and maintain end-to-end data pipelines, ETL workflows, and analytical models. Collect, process, and analyse large datasets using statistical and machine learning methods. Work with stakeholders to define data requirements and translate them into analytical solutions. Develop and validate machine learning models ensuring scalability and production readiness. Build interactive dashboards and reports that translate insights into business narratives. Collaborate with data engineers and business teams to provide clean, reliable analytical data. Skills and Qualifications: 26 years of relevant industry experience with evidence of increasing responsibility. Strong communication, presentation, and interpersonal skills across all organisational levels. Familiarity with regulatory, compliance, or quality frameworks applicable to the industry. A structured, results-driven approach with the ability to meet defined milestones consistently. Bachelor's or master's degree in a related discipline with strong academic and professional credentials. Demonstrated teamwork skills and the ability to build trust and rapport across functions. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Successful candidates will receive access to ongoing professional development and industry-leading resources.

Position: Quantitative Analytics Specialist 3 - Front Office Financial Engineer A dynamic organisation seeks an experienced Quantitative Analytics Specialist 3 - Front Office Financial Engineer to take on a multifaceted and impactful role. This is an opportunity to be part of a purpose-driven team reshaping industry standards and best practices. Primary Duties and Responsibilities: Design data models and schemas optimised for analytical and high-performance workloads. Optimise SQL queries, stored procedures, and database performance across environments. Train, evaluate, and deploy machine learning models across classification and regression tasks. Develop scalable data engineering pipelines to ingest, transform, and serve data. Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Publish insights, model performance reports, and data science findings to leadership. Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Ensure compliance with data governance, privacy regulations, and security standards. Required Qualifications: Strong interpersonal and stakeholder management skills with a client-service orientation. Detail-oriented mindset with the ability to synthesise and present complex information clearly. Proficiency in relevant software and digital tools specific to the functional area. Commitment to ongoing professional learning and industry knowledge enhancement. At least 24 years of hands-on experience in a comparable professional setting. Exceptional organisational skills with the ability to handle multiple concurrent responsibilities. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We value talent and invest in our people this role offers both professional challenge and meaningful rewards.

Position: SQL Developer/Data Engineer Our organisation is looking for an ambitious SQL Developer/Data Engineer committed to quality outcomes and sustained growth. This is an opportunity to be part of a purpose-driven team reshaping industry standards and best practices. Primary Duties and Responsibilities: Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Build self-service analytics capabilities that empower business teams to explore data. Build A/B testing frameworks and experimentation infrastructure for product teams. Train, evaluate, and deploy machine learning models across classification and regression tasks. Implement data quality monitoring and automated alerting frameworks for pipelines. Design data models and schemas optimised for analytical and high-performance workloads. Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Publish insights, model performance reports, and data science findings to leadership. Required Qualifications: Proficiency in relevant software and digital tools specific to the functional area. Exceptional organisational skills with the ability to handle multiple concurrent responsibilities. Ability to work both independently and in a team-oriented, collaborative environment. Strong interpersonal and stakeholder management skills with a client-service orientation. Bachelor's degree in a relevant discipline; master's degree or professional certification is preferred. At least 24 years of hands-on experience in a comparable professional setting. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We value talent and invest in our people this role offers both professional challenge and meaningful rewards.

Position: Big Data Platforms Developer We invite a proactive and capable Big Data Platforms Developer to lead and execute within a collaborative, agile environment. The organisation fosters a culture of continuous learning, development, and shared organisational accountability. Key Responsibilities: Work with stakeholders to define data requirements and translate them into analytical solutions. Maintain and optimise databases, data warehouses, and cloud-based data environments. Present analytical findings to technical and non-technical stakeholders with clarity. Ensure data quality, accuracy, and integrity through validation and governance frameworks. Apply predictive and prescriptive analytics to solve complex business challenges. Collaborate with data engineers and business teams to provide clean, reliable analytical data. Design and maintain end-to-end data pipelines, ETL workflows, and analytical models. Build interactive dashboards and reports that translate insights into business narratives. Qualifications and Requirements: Minimum 35 years of progressive professional experience in a comparable role. Proven ability to manage competing priorities in a deadline-driven, dynamic environment. Demonstrated proficiency with industry-standard tools, platforms, and methodologies. A bachelor's degree or higher in a relevant field; postgraduate qualifications are an added advantage. Excellent verbal and written communication skills; fluency in English is essential. High degree of professionalism, integrity, and alignment with organisational values. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Successful candidates will receive access to ongoing professional development and industry-leading resources.