Data Scientist - R/Python

As an ideal candidate for this position, you should be ready to join the team immediately and have prior experience working on AI/ML projects. Your expertise should include the following skills: - Python, R: - Develop and deploy efficient, robust scripts for data processing and automation. - Experience working with LLM and ML models, along with exposure to AI projects. - SQL, NoSQL: - Design, optimize, and execute complex queries on large datasets with precision. - Excel: - Create advanced solutions using macros and VBA to automate workflows effectively. - Automation Projects: - Lead and deliver impactful projects involving Python, SQL, and Excel, showcasing tangible results. - Should have worked with APIs to integrate data from various sources as part of process automation initiatives. - Cloud Services (Preferred): - Good understanding of AWS cloud-based data solutions (SQL Server, Redshift). - Visualization (Preferred): - Create dashboards and reports using tools like Tableau or Power BI. - Sustainability/ESG Data (Preferred): - Design and implement scalable data pipelines to process and analyse large datasets related to ESG metrics, enabling data-driven sustainability initiatives. In this role, your responsibilities will include: - Designing, developing, and maintaining data pipelines and architectures. - Analysing and interpreting complex data to provide insights. - Ensuring data quality, reliability, and efficiency. - Developing predictive models and machine learning algorithms. - Implementing ETL (Extract, Transform, Load) processes. - Performing data cleaning, preprocessing, and feature engineering. - Working with large-scale databases and processing systems. If there are any additional details about the company in the job description, they are omitted in this summary. As an ideal candidate for this position, you should be ready to join the team immediately and have prior experience working on AI/ML projects. Your expertise should include the following skills: - Python, R: - Develop and deploy efficient, robust scripts for data processing and automation. - Experience working with LLM and ML models, along with exposure to AI projects. - SQL, NoSQL: - Design, optimize, and execute complex queries on large datasets with precision. - Excel: - Create advanced solutions using macros and VBA to automate workflows effectively. - Automation Projects: - Lead and deliver impactful projects involving Python, SQL, and Excel, showcasing tangible results. - Should have worked with APIs to integrate data from various sources as part of process automation initiatives. - Cloud Services (Preferred): - Good understanding of AWS cloud-based data solutions (SQL Server, Redshift). - Visualization (Preferred): - Create dashboards and reports using tools like Tableau or Power BI. - Sustainability/ESG Data (Preferred): - Design and implement scalable data pipelines to process and analyse large datasets related to ESG metrics, enabling data-driven sustainability initiatives. In this role, your responsibilities will include: - Designing, developing, and maintaining data pipelines and architectures. - Analysing and interpreting complex data to provide insights. - Ensuring data quality, reliability, and efficiency. - Developing predictive models and machine learning algorithms. - Implementing ETL (Extract, Transform, Load) processes. - Performing data cleaning, preprocessing, and feature engineering. - Working with large-scale databases and processing systems. If there are any additional details about the company in the job description, they are omitted in this summary.