Company Name

Accenture Solutions Pvt Ltd ( Bangalore )

Job Description

• Job Description:

  We are seeking a skilled and analytical Data Science Practitioner to join our AI/ML team. The ideal candidate will possess expertise in data science, machine learning, and statistical modeling, and will work collaboratively with cross-functional teams to build solutions that generate measurable business value. You will also evaluate the performance and ROI of AI-based initiatives in alignment with strategic goals.

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  Roles & Responsibilities:

  • Design and develop AI/ML models to support data-driven decision-making

  • Collaborate with business stakeholders to define project objectives, requirements, and KPIs

  • Analyze large, complex datasets using Python, R, or similar tools to derive insights

  • Perform feature engineering, model tuning, and validation to ensure optimal performance

  • Create intuitive data visualizations and dashboards to communicate results to stakeholders

  • Contribute to team discussions and become a Subject Matter Expert (SME) in assigned projects

  • Support model deployment and monitor real-world performance to ensure business relevance

  • Document processes, methodologies, and findings in a structured and repeatable format

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  Professional & Technical Skills:Must-Have Skills:

  • Proficiency in Data Science concepts and workflows

  • Strong understanding of machine learning algorithms (e.g., regression, classification, clustering)

  • Hands-on experience with Python, R, NumPy, Pandas, scikit-learn, or similar libraries

  • Ability to handle and analyze large datasets, perform statistical analysis, and data wrangling

  • Experience with data visualization tools such as Tableau, Power BI, or Matplotlib/Seaborn

  • Understanding of AI model performance metrics and business value estimation

  Good-to-Have Skills:

  • Knowledge of cloud platforms (AWS, GCP, Azure) and ML deployment pipelines

  • Experience with deep learning frameworks (TensorFlow, PyTorch)

  • Familiarity with SQL, NoSQL, and Big Data tools (Spark, Hadoop)

  • Exposure to A/B testing, predictive modeling, and time-series forecasting

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