Were looking for a Data Scientist who can blend technical excellence with business insight someone who can move confidently between actuarial thinking, data modelling, and advanced analytics to deliver strategic value. What Youll Do: Proactively source, analyze, and interpret data from multiple internal and external providers Build predictive models and apply advanced statistical and machine learning methods Expand and optimise database structures to store, transform, and manage large datasets Deliver actionable insights to stakeholders and, where needed, directly to clients Use tools like Python, SQL, R, and BI platforms to drive decision-making and innovation Validate and wrangle messy data, ensuring integrity, structure, and auditability Translate insurance processes into clear business requirements for data solutions Create visualizations and presentations for both technical and non-technical audiences What You Bring: A Bachelors Degree in Data Science, Actuarial Science, Statistics, Engineering, Mathematics, or Computer Science 35 years experience in data science, data warehousing, actuarial analytics or modelling Strong fluency in Python and SQL (R beneficial) Solid understanding of cloud, web infrastructure, APIs, and version control Experience in insurance, reinsurance, or related financial services (advantageous) Exposure to machine learning, predictive modelling, and statistical techniques Experience with BI tools (e.g. Power BI) and geospatial data analysis Ability to independently manage projects while collaborating across business areas Key Strengths: Critical thinking with a high attention to detail Ability to navigate messy, multi-source data and make it usable Strong communication skills: Able to engage with stakeholders across functions Comfortable balancing technical depth with business context Self-motivated, organized, and able to operate in a fast-moving environment Apply now!

Our client is a dynamic, data-led insurer where analytics play a key role in every strategic decision. As their Data Scientist , youll collaborate closely with actuaries and business stakeholders to deliver insights that shape pricing, reserving, and risk strategies. With IFRS17 transforming financial reporting, your expertise will be essential in ensuring accuracy, compliance, and competitive advantage. This is an opportunity to make a measurable impact, enhance your technical toolkit, and expand your influence across both the actuarial and data science domains. Key Responsibilities: Collaborate with actuarial and business teams to deliver data-driven insights across pricing, reserving, and risk. Work with large, complex datasets to identify trends, patterns, and strategic opportunities. Support IFRS17 reporting through accurate, compliant, and efficient data processes. Develop and refine predictive models, analytical tools, and reporting dashboards. Translate technical outcomes into actionable business insights for decision-makers. Job Experience and Skills Required: Education: Bachelors degree in Data Science, Statistics, Computer Science, Mathematics, or a related field Experience: within the insurance industry Understanding of IFRS17 and insurance reporting standards Skills: Proficiency in SQL, Python, R, or similar analytical tool Excellent communication skills able to connect technical insights with business needs. Apply now! For more exciting Actuarial and Analytics vacancies, please visit:

A leading financial analytics firm is looking for a talented and detail-oriented Junior Data Scientist to join their dynamic team. This is an excellent opportunity for someone passionate about applying data science to real-world financial challenges. In this role, youll contribute to building predictive models, automating data insights, and developing robust data pipelines to support initiatives such as fraud detection, client churn analysis and portfolio optimization. Duties: Data Exploration & Management: Collect, clean, and prepare structured and unstructured financial data (e.g., client transactions, market prices, and investment flows). Assist with preparing, cleansing, and transforming data for the BI environment, ensuring data quality and consistency. Model Development: Support the development of machine learning models. Help evaluate model performance, document outputs, and improve feature engineering. Implement anomaly detection models across business units. Reporting & Visualization: Create reports (Power BI) to communicate findings to stakeholders. Collaboration: Work closely with different teams to understand their data needs and provide data-driven insights. Partner with Data Engineers, Analysts, and business stakeholders to ensure that analytical outputs are relevant and actionable. Contribute to internal automation, reconciliation, and alerting tools to streamline operations. Job Experience and Skills Required: Bachelors Degree in Data Science, Statistics, Finance, Economics, Computer Science, or a related field. Minimum of 0-2 years of experience in data analysis within the finance industry. Proficient in Python, including libraries such as pandas, matplotlib, and scikit-learn. Experience with Power BI, Excel, and other reporting tools. Experience in writing basic SQL queries. Knowledge of financial databases and platforms. Understanding of data pipelines, version control using Git, and cloud-based environments is advantageous. Apply now!

Youll collaborate with high-performing supply chain, operations, and warehouse teams to deliver insights that reduce costs, enhance efficiency, and drive smarter decisions. If you’re looking for a role where your analytical work truly moves the needle, then this is it. This is the chance to work in a business that sees data as a strategic asset, values collaboration, and offers opportunities for career growth and development. This is your opportunity to join a company that values innovation, data-driven decision-making, and operational efficiency. We are looking for a Data Analyst with strong expertise in distribution, inventory management, and retail data analysis , to support key business functions and help improve performance across the supply chain. Youll collaborate with high-performing supply chain, operations, and warehouse teams to deliver insights that reduce costs, enhance efficiency, and drive smarter decisions. If you’re looking for a role where your analytical work truly moves the needle, then this is it. Whats In It For You?: The chance to work in a business that sees data as a strategic asset, values collaboration, and offers opportunities for career growth and development. Key Responsibilities: Develop and maintain data visualization dashboards and reporting tools to track key distribution and inventory KPIs. Analyze stock movement, replenishment patterns, and demand forecasts to ensure optimal inventory levels. Identify trends and anomalies in supply chain data to avoid stock-outs or overstocking. Collaborate with logistics and warehouse teams to streamline operations and improve efficiency. Translate complex data insights into actionable recommendations for non-technical stakeholders. Job Experience and Skills Required: Education: 3-year Degree in a quantitative field (e.g., Data, Finance, Economics, Informatics, and Statistics). A Post-graduate qualification is advantageous. Experience: 25 years in a data analytics role, with a strong focus on inventory management, distribution networks, or retail operations. Skills: Proficiency in SQL, Python , and SAS (or similar analytical tools). Strong mathematical and modeling skills, particularly in demand planning , stock forecasting , and warehouse optimization . Excellent communication skills, with the ability to present data in a clear, actionable format. Detail-oriented and analytical with solid problem-solving capabilities. Non-Negotiables: Proven experience in distribution and inventory data analysis. Advanced Excel and data visualization skills. Apply now! For more exciting Supply Chain and Data Analytics vacancies, please visit:

Our client is a leading organization that thrives on innovation and data-driven transformation. Theyre looking for a Data Scientist to tackle complex challenges, build advanced models, and translate data into actionable intelligence. This is an opportunity to be at the center of strategic growth where your work drives measurable results across the business. Key Responsibilities: Design, build, and deploy robust statistical and machine learning models for prediction and optimization. Analyze large, complex datasets to uncover meaningful trends and patterns. Transform analytical insights into compelling stories and visualisations for all stakeholders. Own the data lifecycle from cleaning and pre-processing to production-ready datasets. Design and run experiments (A/B testing) to validate hypotheses and measure impact. Collaborate with cross-functional teams to integrate solutions into operational workflows. Stay at the forefront of data science, machine learning, and AI innovation. Job Experience and Skills Required: Masters or PhD in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. Strong programming expertise in Python (pandas, NumPy, and scikit-learn) and/or SAS, plus SQL. Deep understanding of statistical concepts, modelling, and experimental design. Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Strong communication skills to present complex findings clearly to technical and non-technical audiences. Proven critical-thinking and problem-solving ability. Preferred: Experience with data visualization tools such as Power BI, Tableau, or SAS Visual Analytics. Familiarity with big data frameworks like Apache Spark or Hadoop. Exposure to cloud platforms (AWS, Azure, and GCP). Apply now!