
Data Scientist Generative AI
4 days ago
We are seeking a skilled Data Scientist with expertise in GenAI, Python, Power BI and SQL to join our team
- The ideal candidate will be responsible for collecting, analysing, and interpreting complex data sets to support business decision-making and creating APIs and web application in Python
- They will design Python based Rest APIs, powerbi dashboards, generate reports, and ensure data-driven strategies that improve organizational efficiency.
- Key Responsibilities
- Collect, process, and analyze large datasets to extract actionable insights.
- Develop and improve GenAI, Machine learning and Natural Language Processing models for predictive modelling etc.
- Develop and optmise complex RAG projects for Chatbots etc.
- Develop and maintain RESTful APIs and web applications using Python frameworks (e.g., Flask, FastAPI).
- Use pandas, beautifulsoup for data extraction, data manipulation etc.
- Design and implement Power BI dashboards and visualizations for real-time and ad hoc reporting needs.
- Write optimized and scalable SQL queries for data extraction and analysis.
- Collaborate with cross-functional teams to understand data requirements and deliver analytical solutions.
- Present findings and recommendations to stakeholders in a clear and concise manner.
- Ensure data accuracy, integrity, and governance in all analytics processes.
- Automate data collection and reporting pipelines to improve efficiency.
- Requirements
- Bachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field.
- 2+ years of experience as a Data Scientist or in a similar analytical role.
- Proficient in Python for data manipulation, API development, and GenAI chatbots app creation.
- Strong expertise in Power BI, including DAX and custom visual creation.
- Advanced knowledge of SQL and relational databases.
- Familiarity with tools like Pandas, NumPy, Scikit-learn, and other data analysis libraries.
- Excellent problem-solving and communication skills.
- Experience with version control (e.g., Git) and deployment tools is a plus.
- Preferred Qualifications
- Experience with cloud platforms (e.g., Azure, AWS, GCP).
- Knowledge of machine learning techniques and model deployment.
- Background in business intelligence, KPIs, and performance tracking.
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