Data Scientist, D&T

West Pharmaceutical Services

3 - 7 years

7 - 11 Lacs

bengaluru

Posted:1 week ago| Platform:

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Skills Required

hypothesis testing data manipulation computer vision engineering analysis sql statistics communication skills

Work Mode

Work from Office

Job Type

Full Time

Job Description

Design and develop innovative data-driven analytical solutions using advanced analytics, machine learning, NLP, computer vision, and generative AI.
Lead end-to-end model/agent lifecycles from problem definition to deployment, monitoring, and continuous improvement.
Ingest, integrate, and preprocess large-scale datasets ensuring high standards of data quality and integrity.
Develop scalable data pipelines and infrastructure, proactively detecting and mitigating data drift, bias, or quality gaps.
Drive development of specialized computer vision solutions for business-critical applications such as manufacturing, quality control, and compliance monitoring.
Define, implement, and monitor evaluation metrics for both offline and production environments.
Conduct error analysis, monitor live model/agent performance, and ensure compliance with AI governance and ethical standards.
Create intuitive dashboards, reports, and data visualizations (e.g., Power BI, Fabric) to communicate insights to technical and non-technical stakeholders.
Translate technical findings into actionable business recommendations; clearly communicate risks, performance, and opportunities to decision-makers.
Collaborate closely with BI, engineering, and domain experts to operationalize data-driven solutions at scale.
Awareness of compliance, SOPs, and ethical AI practices in enterprise environments.
Working knowledge of CI/CD, MLOps, and AgentOps practices: reproducible pipelines, monitoring, governance with telemetry and observability.

Job Requirements

Bachelor's or master's degree in computer science, mathematics, statistics, data science, or a related quantitative field.
Strong proficiency in Python, SQL, and prompt engineering for data manipulation, analysis, and querying large datasets.
Experience with context engineering and executing GenAI projects at scale with prompt versioning, evaluation, and tracing to debug GenAI pipelines.
Proficiency with Computer Vision libraries and frameworks (e.g., OpenCV, TensorFlow, PyTorch, StableDiffusion) and experience in building real-world image/video analysis pipelines.
Familiarity with Generative AI and LLMs, including experience building Agentic-RAG pipelines using frameworks such as ReAct with tool integrations, memory, and reflection.
Solid understanding of how to evaluate/test ML & AI models: accuracy, robustness, fairness, drift, latency, interpretability, and safety.
Exposure in building ETL pipelines and advanced feature engineering workflows for ML/AI, including vision-based applications.
Strong foundation in statistics: regression, hypothesis testing, probability distributions.
Independent problem-solving skills, creativity, and the ability to prioritize in fast-paced environments.
Strong collaboration and communication skills, with the ability to work effectively in global and virtual settings.
Familiarity with cloud platforms (Azure preferred), including Azure AI Foundry, AzureML, OpenAI platform, Synapse and storage.
Skilled in data visualization and BI tools (Power BI or equivalent), with the ability to present complex insights clearly to non-technical stakeholders.
Knowledge of agentic frameworks like lanGraph, AutoGen, CrewAI etc. familiar with implementing graph RAG, multimodal RAG.
Travel Requirements: Up to 26 business days per year.
Physical Requirements: Sedentary work involves sitting most of the time.

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