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Data Scientist Jobs in Bangalore

Data Scientist Jobs in Bangalore for Fresher, Experienced & Senior professionals — roles, in-demand skills, salary outlook, top tech hubs, and career growth.

Cybotrix Technologies offer Data Scientist Jobs in Bangalore for fresher and experience, we are working with 200+ client for hiring in Data Scientist Jobs in Bangalore. The Bangalore’s data science hiring landscape— from fresher to senior opportunities and the most demanded ML/AI skills, to a practical view of salary trends and hiring activity across key Bengaluru corridors such as Electronic City, Whitefield, Outer Ring Road, Manyata Tech Park, HSR Layout, and Koramangala. Whether you build predictive models, NLP systems, recommender engines, or analytics products, you will find a clear checklist of what recruiters expect and how to move faster in the interview pipeline.

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Job Description

We are hiring Data Scientists in Bangalore for product companies, global capability centers (GCCs), and fast-scaling startups working on AI-driven platforms, forecasting engines, risk and fraud models, personalization, and customer analytics. In this role, you will partner with business stakeholders, data engineers, ML engineers, and analysts to define problems, translate goals into measurable metrics, and deliver models that improve decision-making. Openings are available for Fresher, Experienced, and Senior profiles across domains such as fintech, e-commerce, healthcare, telecom, SaaS, and enterprise automation.

Strong candidates demonstrate hands-on capability in Python, statistics, and machine learning with practical exposure to feature engineering, model evaluation, and experimentation (A/B testing). Depending on the team, you may work on NLP, time-series forecasting, recommendation systems, or computer vision, and help deploy solutions using ML pipelines and cloud services. Professionals who show strong problem framing, clear documentation, and stakeholder communication can grow quickly in Bangalore’s hybrid and product-led data ecosystem.

The Required Skills

  • Programming: Python (NumPy, Pandas), notebooks, clean coding practices
  • Machine Learning: scikit-learn, model selection, bias/variance, tuning
  • Statistics: probability, hypothesis testing, sampling, confidence intervals
  • Data handling: SQL (joins, windows), data quality checks, feature engineering
  • Experimentation: A/B testing, metrics design, causal thinking basics
  • Visualization: Matplotlib / Seaborn, dashboards (Power BI/Tableau basics)
  • ML domains (team dependent): NLP, time-series, recommenders, CV
  • MLOps basics: MLflow, model registry, monitoring, drift awareness
  • Cloud & data stacks: AWS / Azure / GCP, Databricks (nice to have)
  • Collaboration: Git, code reviews, documentation, Agile delivery

Required Education

  • Bachelor’s Degree in Computer Science, IT, Engineering, Statistics, Mathematics, or related discipline
  • Preferred: B.Tech / M.Tech / BCA / MCA / BSc / MSc (CS/IT/Stats/Math) based on role
  • Freshers with strong projects, Kaggle work, internships, or GitHub portfolios are encouraged to apply
  • Added advantage: certifications in Machine Learning, Cloud, Data Engineering, Statistics

Communication Skills

  • Strong verbal and written communication skills in English
  • Ability to explain model results, assumptions, and trade-offs to non-technical stakeholders
  • Collaboration with product, engineering, analytics, and business teams
  • Clear documentation for datasets, experiments, metrics, and model decisions

Mode of Interview

  • Online Interview – Zoom / Google Meet / MS Teams
  • In-Office Interview – Bangalore location for shortlisted candidates
  • Typical flow: screening + SQL/Python test + ML/statistics round + case study + managerial/HR round

Industries Hiring in Bangalore

  • Banking, Financial Services, Insurance & FinTech (risk, fraud, credit analytics)
  • Retail, E-commerce & Marketplaces (pricing, demand, personalization)
  • Healthcare, Pharma, MedTech & Health Platforms (clinical and operational analytics)
  • Telecom, Media & AdTech (churn, segmentation, optimization)
  • SaaS Product Companies, Startups & Platform Engineering (AI features and automation)
  • Manufacturing, Automotive & IoT (predictive maintenance, forecasting)
  • Logistics, Transportation & Supply Chain (routing, ETA, capacity planning)
  • Government Vendors, Education & Public Sector Programs (data modernization)
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