Client: They are a leading AI Tech Services company. With a 15K+ strong team across the APAC, they scale their platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, they transform technology services delivery combining AI with digital resilience to drive real business impact.

Position: Data Scientist
Total Experience: 8y - 11y
Relevant Experience:8y
Location: Pune (candidate must from this location only)
Work Mode: In Office
CTC Offered: As per experience and skillsets
Joining : Immediate to 30 days
Interview process: 3 rounds - 2 technical, 1 with client

Role Overview
Responsible for extracting insights and value from complex datasets by applying statistical analysis, machine learning, and data visualization techniques. The role involves collaborating with business stakeholders to understand problems, developing predictive and prescriptive models, and communicating findings to support data-driven decision-making. Data Scientists will work closely with Data Engineers and AI teams to operationalize models and ensure actionable outcomes.

Responsibilities
- Design, build, and optimize scalable data pipelines and ETL processes.
- Develop and maintain data models, data marts, and analytical datasets.
- Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions.
- Perform exploratory data analysis (EDA) and create machine learning models as required.
- Implement data quality checks, validation rules, and monitoring processes.
- Automate data workflows and ensure timely availability of data.
- Work with cloud platforms such as Azure, AWS, or GCP for data engineering activities.
- Analyze large and diverse datasets to identify trends, patterns, and insights
- Develop, train, and validate predictive and classification models
- Analyze and select the appropriate AI foundation models for use where appropriate




- Design experiments and conduct hypothesis testing to support business initiatives
- Collaborate with data engineers to prepare and optimize data for analysis
- Translate analytical findings into explicit, actionable recommendations
- Present insights and reports to stakeholders using visual storytelling techniques
- Monitor and maintain models in production environments to ensure ongoing accuracy
- Stay updated on emerging tools, techniques, and best practices in data science

Quality Testing Responsibilities
- Develop and execute data validation and data quality test cases.
- Perform unit and integration testing for data pipelines.
- Monitor data accuracy, completeness, and consistency across systems.
- Identify data anomalies and work with engineering teams to resolve issues.
- Document test results and maintain testing logs.

Requirements
- 8–12 years of experience in data engineering, data science, or related domains.
- Proficient in programming languages such as Python or R
- Hands-on experience with SQL, Python, and distributed data systems.
- Expertise in statistics, machine learning algorithms, and data mining techniques
- Experience with data preprocessing, feature engineering, and model validation
- Skilled in data visualization tools and libraries (Tableau, Power BI, Matplotlib, Seaborn)
- Familiarity with big data platforms (Spark, Hadoop) and SQL databases
- Experience with cloud data platforms (Azure Data Factory, AWS Glue, GCP BigQuery).
- Knowledge of cloud-based ML platforms (AWS SageMaker, Azure ML, GCP AI Platform)
- Understanding of experimental design and A/B Testing
- Ability to communicate complex technical concepts to non-technical stakeholders
- Familiarity with DevOps practices and CI/CD for data pipelines.
- Operational experience with data orchestration tools (Airflow, ADF, Glue).
- Understanding of Kubernetes, Docker, or containerized environments.

Preferred Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.

📌 Data Scientist (Pune)
🏢 Hexaconcepts
📍 Pune