Associate Data Scientist

Fortive — Bengaluru East, Karnataka

₹4–10 LPA (HireSetu estimate) · 0–2 yrs exp · Freshers eligible · Full-time · onsite

HireSetu listing reference 3caacb — confirm requirements below, then apply on the employer site.

Quick answer: A 0-2 year data science seat on Fortive's AI and automation team, onsite in Bengaluru East. Python and SQL matter most, and the brief runs from data cleaning to dashboards to Generative AI prototypes.

From Fortive's job posting

Associate Data Scientist

0-2 Years Experience

JOB SUMMARY

We are seeking a highly motivated Associate Data Scientist to join our growing Artificial Intelligence and Automation team. The ideal candidate will have a strong foundation in statistics, machine learning, Python, and data-driven problem solving. This role provides an excellent opportunity to work on impactful analytics and AI initiatives — from exploratory data analysis and predictive modeling to experimentation, Generative AI, and enterprise decision support.

The candidate will collaborate with cross-functional teams to translate business questions into data-driven insights and models that drive measurable value across multiple domains.

KEY RESPONSIBILITIES

  • 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, forecasting).
  • Design and analyze experiments and A/B tests to measure impact and inform business decisions.
  • Translate business problems into analytical approaches and communicate findings through clear visualizations and storytelling.
  • Develop dashboards and reports to track KPIs, business metrics, and model performance.
  • Support the development of Generative AI and LLM-based analytics use cases.
  • Write efficient SQL and Python to extract, transform, and analyze data from enterprise sources.
  • Collaborate with data engineers, ML engineers, and business stakeholders to operationalize models and insights.
  • Document methodology, assumptions, and results, and ensure the reproducibility of analyses.
  • Conduct research on emerging data science techniques, tools, and best practices.
  • Participate in code reviews, peer reviews, and knowledge-sharing sessions.

REQUIRED QUALIFICATIONS

  • 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 related areas.
  • Strong programming skills in Python and working knowledge of SQL.
  • Solid understanding of statistics, probability, and core machine learning concepts (supervised and unsupervised learning).
  • Experience with data manipulation and analysis using Pandas and NumPy.
  • Familiarity with data visualization techniques and tools.
  • Knowledge of data structures, algorithms, and software engineering fundamentals.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent communication skills, with the ability to explain technical results to non-technical audiences.

PREFERRED SKILLS

  • Experience with Scikit-learn, statsmodels, TensorFlow, or PyTorch.
  • Familiarity with visualization tools such as Power BI, Tableau, matplotlib, seaborn, or Plotly.
  • Exposure to Generative AI and Large Language Models (LLMs) such as OpenAI, Anthropic Claude, Azure OpenAI, or Gemini.
  • Understanding of experimentation, A/B testing, and causal inference.
  • Familiarity with cloud platforms (Azure, AWS, or Google Cloud) and Databricks/Spark.
  • Knowledge of MLOps concepts including model deployment, monitoring, and version control.
  • Understanding of Git and collaborative development workflows.
  • Experience working on data science academic, internship, personal, or open-source projects.

WHAT YOU'LL GAIN

  • Hands-on experience with enterprise-scale analytics and AI initiatives.
  • Opportunity to work on machine learning, Generative AI, and advanced analytics.
  • Exposure to cloud-native data platforms and MLOps practices.
  • Mentorship from experienced data science and technology leaders.
  • Opportunity to contribute to impactful, data-driven business transformation.

Fortive Corporation Overview

Fortive’s essential technology makes the world safer and more productive. We accelerate transformation in high-impact fields like workplace safety, build environments, and healthcare.

We are a diverse team 10,000 strong, united by a dynamic, inclusive culture and energized by limitless learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive impact.

At Fortive, we believe in you. We believe in your potential—your ability to learn, grow, and make a difference.

Fortive: For you, for us, for growth.

Bonus or Equity

This position is also eligible for bonus as part of the total compensation package.

The employer’s company overview, benefits and equal-opportunity statement are left out here; they are on the original posting.

Text from Fortive's official job posting, formatted by HireSetu. The employer's own page is the final word on details.

HireSetu's note

Python and SQL carry the weight

Two things on this list decide whether you can contribute early: Python for analysis, and SQL good enough to pull your own data. Pandas and NumPy are named because that is where the day starts, before any model gets built. The rest is statistics and the supervised/unsupervised split, the part that shows in your work even in weeks when you write little code. Scikit-learn, TensorFlow or Power BI you can pick up on the job.

A wide brief under one title

Fortive is a 10,000-person industrial technology company whose businesses sit in workplace safety, healthcare sterilization and predictive maintenance, so the data leans on equipment, operations and service metrics. The posting packs EDA, modelling, experiments, dashboards and LLM use cases into one role, which is a lot for 0 to 2 years.

You'll get a slice of it, and the slice shapes your first year: a dashboard-heavy associate and an LLM-prototype associate grow in different directions. Ask which business unit you'd join, since Fortive runs several companies under one roof.

Onsite in Bengaluru East

The role is on a campus through the week. Bengaluru East puts you around Whitefield, Brookefield or the Outer Ring Road corridor, so check the office pin against where you live. If you're across town, that trip each way is the biggest cost of taking this job. Enterprise data also means governed datasets and access requests, a slower world than a Kaggle notebook.

Where the hours go

Expect the bulk of your time in SQL and cleaning. Enterprise tables arrive messy, with nulls, duplicate keys and definitions that differ by team. Models come later: a regression, a classifier, a forecast, each picked apart to see why it behaves as it does. Experiments take weeks to read out, and someone has to record the assumptions so the analysis can be repeated.

LLM work at this level leans toward prompting, evaluating outputs and wiring AI into existing reports, which suits anyone who likes testing a thing until it's dependable. You'll spend more time proving a number than finding one.

Drafted with AI from Fortive's job posting and checked by Prashanth Jakkula before publishing. See our Editorial Policy.

How to apply

  1. Open Fortive's careers site with the Apply button.
  2. Upload your resume; the site reads it to build your profile.
  3. Check what it pulled from your resume, answer any questions and submit.

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