About the Role

We are seeking a highly skilled Data Scientist to join our team at Psybergate. As a key member of our Organisation Health Digital department, you will be responsible for extracting and analysing digital, clinical and behavioural data to inform product design, customer experience strategies for digital solutions.

Key Responsibilities

• Extracting and analysing digital, clinical and behavioural data to inform product design, customer experience strategies for digital solutions.
• Developing data science model and A/B testing pipelines for deployment.
• Applying statistical techniques, behavioural science principles, and data science models to measure and optimize member engagement and user experiences for digital solutions.
• Working closely with Organisation Health Digital to ensure insights and modelling inputs align with product objectives and app engagement outcomes.
• Collaborating with systems and engineering teams to integrate data science pipelines into the Health Systems and Health digital solutions.
• Presenting insights and results to business stakeholders and senior executives, highlighting the impact of personalized digital experiences on user engagement and experience.

Requirements

• BSc degree in Mathematics, Statistics, Computer Science, or related fields with a minimum average of 65% across all subjects.
• 5 years’ experience as a Data Scientist.
• Ability to formulate a clear problem statement, develop a plan for tackling it, and clearly communicate findings verbally, visually, and in writing.
• Demonstrable working experience in an analytics position, where the focus was on building and implementing machine learning models to solve business problems.
• Experience accessing and analysing data using language/tools/databases such as Python, R, SQL, etc.
• Experience using Gradient Boosting Machines, Random Forests, Neural Networks or similar algorithms.
• Some experience in working with big disparate sets of data and exposure to big data tools.

Salary & Benefits

Not specified

What you will be doing:

• Analyse complex datasets to identify trends, patterns, and correlations that drive actionable insights.
• Develop, implement, and validate machine learning algorithms and statistical models.
• Build, operationalise, maintain, and explain predictive models to business and technical stakeholders.
• Participate in the analysis, design, development, troubleshooting, and support of the reporting and analytics platform.
• Develop BI solutions using SQL, ETL scripting, database programming, and reporting tools on the Microsoft BI stack.
• Build scalable data pipelines for collecting, processing, and analysing large volumes of structured and unstructured data.
• Automate recurring analytical processes and monitor ongoing performance.
• Collaborate with actuaries, underwriters, and other stakeholders to integrate data science solutions into business workflows.
• Manage multiple tasks simultaneously and respond quickly to data-related issues.

What we are looking for:

• Bachelor’s Degree or Diploma in Informatics, Computer Science, Statistics, Mathematics, or Information Technology, or equivalent experience.
• 4+ years’ experience working as a Data Scientist or in a similar BI-focused role.
• Strong experience with Power BI, Azure Data Factory, and Azure Synapse Analytics.
• Advanced proficiency in Python / R, C++, C#, or Java.
• Extensive experience with Microsoft SQL Server and T-SQL.
• Strong understanding of statistical concepts, data modelling techniques, and experimental design principles.
• Experience developing BI solutions in medium to large organisations.
• Familiarity with the financial services industry, particularly insurance, is advantageous.
• Experience with machine learning libraries such as TensorFlow, PyTorch, and scikit-learn.
• Exposure to big data technologies (Hadoop, Spark, Kafka) and cloud platforms (Azure, AWS, GCP) is beneficial.
• Excellent problem-solving, communication, and stakeholder engagement skills.

Please note: If you do not hear from us within 3 weeks, consider your application unsuccessful.