RequirementsKey Responsibilities
- Design and implement advanced predictive models.
- Develop machine learning and statistical solutions.
- Analyse large and complex datasets.
- Build forecasting, classification, and recommendation models.
- Drive data-driven decision-making across business functions.
- Present insights and recommendations to stakeholders.
- Mentor junior Data Scientists and Analysts.
- Collaborate with Data Engineering teams to build scalable data solutions.
- Deploy and monitor machine learning models in production.
- Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field.
- Master's Degree preferred.
- 5+ years of Data Science experience.
- Proven experience delivering machine learning solutions in production environments.
Essential
- Python
- SQL
- Machine Learning
- Statistics
- Predictive Analytics
- Data Modelling
- Data Visualisation
- Feature Engineering
- Python
- Pandas
- NumPy
- Scikit-Learn
- TensorFlow or PyTorch
- SQL Server
- PostgreSQL
- Power BI
- Tableau
- Jupyter Notebooks
- AWS
- Azure
- Google Cloud Platform
- Generative AI
- Natural Language Processing (NLP)
- MLOps
- Data Engineering exposure
- Big Data technologies
- Spark
- Databricks
- Advanced Analytical Skills
- Business Acumen
- Problem Solving
- Communication Skills
- Leadership & Mentoring
- Stakeholder Management
- AWS Certified Machine Learning
- Microsoft Azure Data Scientist Associate
- Google Professional Machine Learning Engineer
- Databricks Certifications
- Delivery of business value through analytics.
- Accuracy and performance of predictive models.
- Stakeholder satisfaction.
- Successful deployment of production-ready solutions.
- Continuous improvement of data-driven capabilities.
Skills Required
- Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field
- Master's Degree
- 5+ years of Data Science experience
- Proven experience delivering machine learning solutions in production environments
- Python
- SQL
- Machine Learning
- Statistics
- Predictive Analytics
- Data Modelling
- Data Visualisation
- Feature Engineering
- Pandas
- NumPy
- Scikit-Learn
- TensorFlow or PyTorch
- SQL Server
- PostgreSQL
- Power BI
- Tableau
- Jupyter Notebooks
- AWS
- Azure
- Google Cloud Platform
- Generative AI
- Natural Language Processing (NLP)
- MLOps
- Data Engineering exposure
- Big Data technologies
- Spark
- Databricks
- AWS Certified Machine Learning
- Microsoft Azure Data Scientist Associate
- Google Professional Machine Learning Engineer
- Databricks Certifications
What We Do
Blue Pearl is a market-leading CLOUD Solutions developer with extensive knowledge and insight into the latest technologies, standardised processes, advanced technical capabilities and consulting processes available, ensuring wholistic success for our clientele. We offer professional consulting to compliment your business strategy and overall management and make it our priority to add value to any business by listening, analysing and creating a conducive solution that will empower our client. We implement a Data Analysis Process that includes inspecting, cleansing, transforming, and modelling data with the end-goal of discovering useful information, informing conclusions, and relevant information to support your decision-making. Your business cannot afford not to engage with us, allowing our data analysis to play a role in making your business decisions more scientific and helping your business achieve effective operation. Blue Pearl’s team of experts include BI strategists, BI analysts, Data Warehouse Architects, Data Scientists, Implementation and Development experts. With the use of BI, Analytics and Big Data, we effectively partner with our customers on their mission to achieve a competitive business advantage and real ROI from the structured information we collect.
