Fortive Off Campus Drive 2026 is open for the Associate Data Scientist role in Bengaluru. Fortive is hiring candidates with 0–2 years of experience in data science, analytics or machine learning to join its Artificial Intelligence and Automation team. A bachelor’s degree in data science, statistics, computer science, mathematics or engineering is required, and the role is hybrid out of Bengaluru East.
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Fortive Off Campus Drive 2026 – full job details
The Fortive Off Campus Drive 2026 is a rare thing: a data science opening that states 0–2 years on the requisition itself rather than quietly expecting three. Fortive is a global industrial technology group whose companies work in workplace safety, healthcare sterilisation, predictive maintenance and connected building systems. This role sits in the central AI and Automation team, so the analytics work touches several of those businesses rather than one narrow product.
About the Associate Data Scientist role in the Fortive Off Campus Drive 2026
Fortive describes the position as an opportunity to work across the full analytics range – exploratory data analysis and predictive modelling at one end, experimentation and Generative AI at the other. You would translate business questions into analytical approaches, build models, then explain the results to people who do not read code. The listing states that mentorship from experienced data science leaders is part of the package, which matters when you are the junior person on a modelling team.
Key responsibilities in the Fortive Off Campus Drive 2026
- Perform exploratory data analysis, data cleaning and feature engineering on structured and unstructured data.
- Build, validate and interpret machine learning and statistical models – regression, classification, clustering and forecasting.
- Design and analyse experiments and A/B tests to measure impact and inform business decisions.
- Write efficient SQL and Python to extract, transform and analyse data from enterprise sources.
- Develop dashboards and reports tracking KPIs, business metrics and model performance.
- Support Generative AI and LLM-based analytics use cases.
- Collaborate with data engineers, ML engineers and business stakeholders to operationalise models.
- Document methodology and assumptions so analyses stay reproducible.
Eligibility criteria for the Fortive Off Campus Drive 2026
- Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering or a related field.
- 0–2 years of experience in data science, analytics, machine learning or a related area.
- Strong Python programming and working knowledge of SQL.
- Solid grounding in statistics, probability and core supervised and unsupervised learning concepts.
- Hands-on experience manipulating data with Pandas and NumPy.
- Knowledge of data structures, algorithms and software engineering fundamentals.
- Ability to explain technical results clearly to a non-technical audience.
Skills that strengthen your Fortive Off Campus Drive 2026 application
Fortive lists a long preferred-skills section, and one line in it is worth reading twice: experience from academic, internship, personal or open-source data science projects counts. You do not need commercial experience to satisfy it. Beyond that the team values Scikit-learn, statsmodels, TensorFlow or PyTorch; Power BI, Tableau, matplotlib, seaborn or Plotly; exposure to LLM platforms; A/B testing and causal inference; Azure, AWS or Google Cloud with Databricks or Spark; MLOps basics including deployment, monitoring and version control; and Git-based collaborative workflows.
Selection process for the Fortive Off Campus Drive 2026
Expect a recruiter screen, then a technical round built around Python, SQL and applied statistics – typically a case where you reason through how you would frame a business question as a model. A second technical or hiring-manager conversation usually covers your projects in depth and your understanding of why a model behaves the way it does. A final discussion covers fit and expectations. Offers under the Fortive Off Campus Drive 2026 generally follow within two to four weeks of the last round.
Documents required for the Fortive Off Campus Drive 2026
- Updated resume – build a clean one-page version with the Freshershunt Resume Builder.
- Degree certificate and all semester marksheets.
- Class X and XII marksheets.
- Government photo ID (Aadhaar, PAN or passport).
- Links to GitHub, Kaggle notebooks or any published project work.
Fortive Off Campus Drive 2026 – preparation tips from selected candidates
- Be ready to explain why a model works, not just which library you called – this is the question that separates candidates here.
- Practise SQL joins, window functions and aggregations against a real dataset until they are automatic.
- Revise bias-variance tradeoff, cross-validation, regularisation and how you would detect overfitting.
- Have one project you can defend end to end, including what you would do differently now.
- Take a couple of timed aptitude and logical reasoning tests to build speed.
- Prepare a 90-second self-introduction that leads with your strongest analysis.
How to apply for the Fortive Off Campus Drive 2026
Applications for the Fortive Off Campus Drive 2026 are accepted only through Fortive’s official careers portal. Open the listing, upload your resume and complete the profile. There is no application fee at any stage, and Fortive lists an accommodations contact for candidates who need support during the process. Apply through the official Fortive careers listing.
About Fortive
Fortive builds technology for high-impact fields including workplace safety, built environments and healthcare. Its operating companies lead in healthcare sterilisation, industrial safety and predictive maintenance, and the group runs on the Fortive Business System, a continuous-improvement method borrowed from lean manufacturing. The company employs around 10,000 people worldwide, and the Fortive Off Campus Drive 2026 is run through its central talent portal. For more openings like this one, browse the companies hiring freshers hub on Freshershunt.
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