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Open nowPosted 23 days ago

Data Scientist

IMI Process Automation36 open roles

Where
Bangalore
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Your applicationOpen nowData ScientistIMI Process Automation · Bangalore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on IMI Process Automation's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. IMI Process Automation postings stay open a median of 1 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 23 days ago

IMI Process Automation median: 1 days open

The posting

Location: Bangalore,None,None

IMI plc We are a global specialist engineering company that creates breakthrough solutions. We are curious and like to solve problems, partnering with our customers to solve the demands of today and prepare for the challenges of tomorrow. We embrace innovation and care about outcomes that are good for business, everyday life and making a better world – creating lasting impact for everyone.

We design, build and service highly engineered products in fluid and motion control applications. We focus on five market sectors: Industrial Automation, Process Automation, Climate Control, Life Science and Fluid Control, and Transport.

Role Overview We are seeking a highly skilled and motivated Data Scientist with AI expertise and 6+ years of experience to join the Digital Solutions team. The role will drive business value through advanced analytics, machine learning, artificial intelligence, and data-driven decision support across enterprise processes.

The successful candidate will partner with business stakeholders, data engineers, software developers, and digital transformation teams to identify opportunities, design AI-powered solutions, and deploy scalable models into production. The role requires a strong blend of hands-on data science, Generative AI, cloud technology, stakeholder engagement, and practical delivery experience.

Key Responsibilities

AI & Machine Learning Development

· Design, develop, and deploy machine learning and AI solutions to address complex business challenges.

· Build predictive, prescriptive, and classification models using structured and unstructured data.

· Develop and optimize Generative AI solutions, including LLM-based applications, RAG architectures, AI assistants, and intelligent automation workflows.

· Evaluate, monitor, and continuously improve model performance and accuracy.

Data Science & Analytics

· Perform exploratory data analysis to identify trends, opportunities, and business insights.

· Develop statistical models and advanced analytical solutions to support strategic decision-making.

· Translate business requirements into analytical frameworks and measurable outcomes.

· Create dashboards, visualizations, and reports that communicate insights effectively to technical and non-technical stakeholders.

Data Engineering & Solution Delivery

· Collaborate with data engineering teams to establish scalable data pipelines and AI-ready data platforms.

· Ensure data quality, governance, and compliance standards are maintained across analytical solutions.

· Support deployment, monitoring, and lifecycle management of AI and machine learning models.

Digital Innovation & Automation

· Identify opportunities to leverage AI, automation, and advanced analytics to improve productivity and business performance.

· Drive innovation initiatives utilizing emerging technologies such as Generative AI, Agentic AI, Computer Vision, NLP, and Intelligent Automation.

· Contribute to enterprise AI strategy, standards, and best practices.

Stakeholder Management

· Partner with business leaders to understand operational challenges and opportunities.

· Present findings, recommendations, and AI roadmaps to leadership teams.

· Provide technical guidance and mentoring to junior data scientists and analysts.

· Collaborate with global teams and external partners to deliver data-driven solutions.

Critical Competencies for Success

Technical Expertise

· Advanced knowledge of Python, SQL, and modern data science libraries.

· Strong experience with machine learning, deep learning, and statistical modelling.

· Hands-on expertise in Generative AI, Large Language Models (LLMs), RAG frameworks, vector databases, and prompt engineering.

· Experience with Microsoft Azure cloud platform, AWS and Google Cloud would be added advantage.

· Knowledge of MLOps, model deployment, monitoring, and automation frameworks.

Analytical Thinking

· Ability to solve complex business problems using data-driven approaches.

· Strong quantitative reasoning and statistical analysis capabilities.

· Capability to convert ambiguous business challenges into actionable analytical solutions.

Business Acumen

· Understanding of manufacturing, engineering, industrial, finance, supply chain, or operational business processes.

· Ability to align AI initiatives with business outcomes and ROI objectives.

Communication & Influencing

· Excellent stakeholder management and presentation skills.

· Ability to explain complex technical concepts to business audiences.

· Strong written and verbal communication skills.

IMI is an inclusive employer; diversity is very important to us, and we want to receive applications from people

from all backgrounds

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