In this role, youll work with advanced tools in Python, SQL, and Azure , applying your analytical expertise to design predictive models, uncover insights, and drive meaningful business value. Youll collaborate with technical and business teams to translate data into actionable strategies, contributing directly to high-impact initiatives. This is an excellent opportunity for a data professional whos ready to take the next step working on cutting-edge projects , in an environment that fosters innovation, growth, and continuous learning . Duties: Perform data exploration, cleaning, and transformation to prepare datasets for analysis and modelling. Develop, train, and evaluate predictive and machine learning models to solve key business challenges. Visualise and present analytical insights, using Power BI or similar tools, to support decision-making. Collaborate cross-functionally with IT, business, and analytics teams to define data requirements and deliver impactful insights. Job Experience and Skills Required: Education: Minimum: Diploma in Data Science, Computer Science, Statistics, Mathematics , or a related field Preferred: Bachelors Degree in Data Science, Computer Science , or similar Experience: 3 years experience in data science, analytics , or statistical modelling Hands-on experience with Python and SQL for data manipulation, analysis, and model development Proficiency with machine learning frameworks (e.g., scikit-learn, TensorFlow, and PyTorch ) Experience with Azure Synapse Analytics or Microsoft Fabric advantageous Strong ability to communicate analytical findings clearly to non-technical audiences Skills: Python SQL Power BI Machine learning Statistical analysis Data wrangling Feature engineering Model optimisation Excellent stakeholder communication and presentation skills Cloud data experience (Azure) beneficial Non-negotiables: Proven ability to deliver end-to-end data science solutions Strong analytical thinking and problem-solving skills

Benefits of Applying: Industry Insights Gain access to trends in data roles, tools in demand, and what top companies are looking for. Role Alignment Get matched with positions that suit your analytical strengths, domain expertise, and career goals. Negotiation Support Receive help negotiating salary, benefits, and flexible work arrangements based on market benchmarks. Key Responsibilities: Data Collection & Cleaning Gather data from various sources and ensure it’s accurate, complete, and ready for analysis. Data Analysis & Interpretation Use statistical methods and tools to uncover trends, patterns, and insights. Reporting & Visualization Create dashboards, charts, and reports to communicate findings clearly to stakeholders. Stakeholder Collaboration Work with teams across the business to understand data needs and support decision-making. Job Experience and Skills Required: Bachelors degree Hands-on experience with Data tools like Excel, SQL, Python Hands-on experience with Visualization platforms like Tableau, Power BI or Looker Apply now!