Applied & Data Scientist

1 day ago

Bengaluru, India Anicca Data Science Solutions Full time

Role Overview

We are seeking a Senior Data Scientist  with strong expertise in applied data science and machine learning. The role involves designing, developing, and deploying advanced models, building dashboards, and collaborating cross-functionally to deliver data-driven solutions that solve real-world business challenges.


Key Responsibilities

  • Design, build, and deploy advanced AI/Data Science solutions  with a focus on scalability and ethical AI.
  • Apply expertise in machine learning frameworks  and advanced techniques (LLM fine-tuning, RAG implementations, evaluation methods).
  • Conduct applied research  in areas such as fraud detection, risk modeling, and automation.
  • Perform data analysis and profiling  on large datasets (SQL/KQL), ensuring high-quality insights.
  • Collaborate with data engineers to validate pipelines, transformations, and ensure data accuracy.
  • Create and maintain Power BI dashboards  aligned with business use cases.
  • Translate business needs into technical requirements and document business rules, logic, and lineage .
  • Support data governance  initiatives, metadata management, and gap analysis of current vs. target data flows.
  • Partner with engineering, product, and program management teams in an Agile environment.


Required Qualifications

  • Education & Experience  (one of the following):
  • 8+ years with a Bachelor’s degree  in Statistics, Mathematics, Physics, Econometrics, Computer Science, Engineering, or related field.
  • 6+ years with a Master’s degree  in the same fields.
  • 2+ years with a Ph.D.  in the same fields.
  • Proven expertise in statistical modeling, feature engineering, model evaluation, and data pipeline design .
  • Strong command of SQL/KQL  for querying and profiling large datasets.
  • Experience with data mapping, source-to-target documentation, and profiling .
  • Familiarity with modern data platforms  (Microsoft Azure, Data Factory, Data Lake, Microsoft Fabric preferred).
  • Strong communication skills with ability to engage both technical and non-technical stakeholders.


Preferred Qualifications

  • Research contributions: publications, patents, peer-reviewed work .
  • Hands-on coding experience in Python  (C# is a plus).
  • Experience with Power BI  (or similar BI tools).
  • Knowledge of fraud detection workflows, vendor data integration, and cost optimization .
  • Familiarity with Agile or hybrid Agile/Waterfall delivery methods .
  • Proficiency with Excel, Visio, or other documentation tools .








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