Data Scientist

We are looking for an experienced Data Scientist to design and develop data-driven solutions using statistical analysis, machine learning, and AI techniques. The candidate should be able to work with large and complex datasets, build predictive models, and translate business requirements into actionable insights.

Key Responsibilities

- Analyze large and complex datasets to identify trends, patterns, and business insights.
- Develop, train, validate, and optimize machine learning and predictive models.
- Perform data cleansing, feature engineering, exploratory data analysis, and model evaluation.
- Develop scalable data science and AI solutions using Python, SQL, and ML frameworks.
- Collaborate with data engineers, business analysts, and stakeholders to develop reusable data solutions.
- Work with structured and unstructured datasets.
- Support model deployment, monitoring, performance optimization, and troubleshooting.
- Document data science methodologies, models, assumptions, and outcomes.
- Follow data quality, governance, security, and responsible AI practices.

Mandatory Skills

- Python
- SQL
- Machine Learning
- Statistical Analysis & Predictive Modelling
- Data Analysis & Data Visualization
- Pandas, NumPy, Scikit-learn
- Feature Engineering & Model Evaluation
- Data Modelling
- AI/ML concepts
- Good analytical, problem-solving, and stakeholder communication skills

Desired Skills

- Azure / AWS cloud platforms
- Databricks
- PySpark
- Generative AI / LLM knowledge
- NLP
- MLflow / MLOps
- Power BI or similar visualization tools
- Your internal data-related requirements also emphasize Python/PySpark, SQL, Databricks, data modelling, data quality, AWS data platforms, and collaboration with data scientists and business stakeholders, so these are reasonable adjacent skills to include when sourcing. 

Experience

- Relevant Experience: 6+ years
- Total Experience: approximately 8–12 years for a senior equivalent profile.