1913 Data Scientist jobs in Bengaluru

Company:
E Hireo

Website:
Visit Website

Business Type:
Consulting Firm

Company Type:
Service

Business Model:
B2B

Funding Stage:
Bootstrapped

Industry:
IT Services & Consultancy

Salary Range:
₹ 8-20 Lacs PA

Job Description
This is the permanent role with a Valued client of e-Hireo
Key Responsibilities

• Collaborate with the leadership, Product, Technology, Risk, and Marketing teams to drive data-driven initiatives.
• Proven expertise in modelling for business, customer analytics and growth strategies.
• Build models across the customer lifecycle (propensity, pricing, collections).
• Optimize acquisition funnels and campaign strategies.
• Leverage alternate data to enhance customer models.
• Drive collections and recovery strategies through data science techniques.
• Review, refine, and optimize existing models and analyses.

Must-Have
Experience & Skills:

• Hands-on experience in building ML models for growth, risk, or customer analytics.
• Proficiency in Python and SQL.
• Strong analytical, problem-solving, and cross-functional collaboration skills.

Good-to-Have

• Experience in business strategy or analytics initiatives.
• Exposure to credit risk modeling and scorecard development
• Someone who has worked on ML models building scorecards

Job: Data Scientist with AI/ML

Location: Bangalore

Exp: 6+ Years

SKILLS AND COMPETENCIES

Technical Skills:

• Advanced proficiency in Python with expertise in data science libraries (NumPy, Pandas, scikit-learn) and deep learning frameworks (PyTorch, TensorFlow)

• Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques

• Experience with big data processing using Spark for large-scale data analytics

• Version control and experiment tracking using Git and MLflow

• Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing.

• DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations.

• LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management.

• MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining.

• Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems.

• LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security.

• General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP.

• Experience in creating LLD for the provided architecture.

• Experience working in microservices based architecture.

Voosh is hiring a Data Scientist - Performance Marketing at Voosh

Location: Bengaluru (on-site)

Experience: 1–2 years

Background: Marketing Analytics, Business, Statistics, or related

CTC: Competitive - Fixed+ ESOPs + Insurance

What you'll do

• Model the impact of ad & promo spending on restaurant payouts

• Run A/B tests to measure campaign effectiveness

• Conduct walkthroughs with restaurateurs & present insights

• Translate data into clear, compelling stories

What we're looking for

• 1–2 years of marketing analytics with client facing experience

• Proficiency in data analytics and modelling using Excel, SQL, and Python

• Curiosity, problem-solving mindset, and eagerness to grow fast

Apply here

Data Scientist, Clinical Research & AI Data Representation (Information Specialist)

Job Overview Summary

We are seeking a data-driven Information Specialist or Data Scientist to leverage advanced AI and data science to transform complex clinical and healthcare information into actionable insights. This role emphasizes developing analytical solutions and AI-assisted data representation techniques to enhance clinical study optimization and accelerate drug discovery. You will drive innovation, contributing to a product roadmap that utilizes scalable infrastructure.

Key Responsibilities

• Clinical Data Analysis & Modelling: Design and implement ML/statistical models for clinical research data (RWE, EHR, omics, clinical trials).
• AI-Assisted Information Visualization: Innovate AI-driven visualization for complex clinical data, ensuring clarity for medical and research stakeholders.
• Prompt Engineering & Generative AI: Apply expertise in prompt engineering to guide and evaluate Generative AI/LLM applications for information extraction, summarization, and retrieval in clinical contexts.
• Clinical Trial Data Strategy: Contribute to data science strategy, specifically aligning with clinical study optimization goals and regulatory requirements.
• Cross-functional Collaboration: Partner with clinical, medical, and engineering teams to translate research questions and information needs into data solutions.
• MLOps: Deploy, monitor, and maintain ML models in production, adhering to strict regulatory standards (GCP, HIPAA, GDPR).

Qualifications

• Clinical & Healthcare Domain: Essential: Demonstrated hands-on experience and deep understanding of clinical research, life sciences, or healthcare data.
• Education & Experience: Bachelor's degree (4-year professional degree) in Data Science, Information Science, Bioinformatics, or a related quantitative field, OR a Master's degree in a relevant field. 4+ years of relevant experience
• Programming & Tools: Proficiency in Python (Pandas, Scikit-learn, deep learning frameworks) and/or R, strong SQL skills.
• Databricks & Big Data: Extensive, hands-on experience with the Databricks platform (Databricks SQL, Databricks ML, Delta Lake) and Spark (PySpark/Scala Spark) for large-scale data processing, ETL, and feature engineering.
• Prompt Engineering: Demonstrated practical experience with prompt engineering, LLMs, or related conversational AI applications.
• Analytical & Communication Skills: Excellent analytical, critical thinking, and problem-solving abilities. Strong communication and interpersonal skills to articulate complex clinical and AI concepts to both technical and medical teams.
• Cloud Platforms: Experience with cloud-based platforms (AWS, Azure, GCP) for data storage, processing, and analytics is a plus.

Job Type: Full-time

Pay: ₹500, ₹1,200,000.00 per year

Benefits:

• Paid sick time
• Paid time off
• Provident Fund

Work Location: In person

• Strong problem-solving skills with an emphasis on product development.
• A drive to learn and master new technologies and techniques.
• Experience using statistical computer languages (R, Python etc.) to manipulate data and draw insights from large data sets.
• Experience working with different data architectures. Knowledge and experience in statistical and data mining techniques.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Prior experience in working on zero touch solutions can be an advantage

• Were looking for someone with 3+ years of experience manipulating data sets and building statistical models, has a Bachelors or master's in computer science or another quantitative field, and is familiar with the following software:

• Coding knowledge and experience with several languages Python, R

• Experience with Python and common data science toolkits like Jupyter, Pandas, Numpy, Scikit-learn, TensorFlow, Keras etc.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
• Experience in using different types of Databases - RDBMS, Graph, No-SQL etc.
• Strong experience in Generative AI

Job Title:
Data Scientist - Forecasting & AI Strategy

Location:
Bangalore

Experience:
8-12 years

Type:
Full-time

Role Overview

We are seeking a
Data Scientist
with deep expertise in
forecasting, AI/ML, and cloud-native analytics platforms
. This role will drive the design and adoption of
enterprise-scale forecasting models
, serving as a
technical leader and mentor
for the global data science team. The ideal candidate will combine advanced technical knowledge with leadership skills to shape AB InBev's forecasting and AI roadmap.

Key Responsibilities

• Architect and lead
  large-scale forecasting solutions
  across multiple business domains (demand planning, promotions, portfolio optimization).
• Apply advanced forecasting methods, including
  hierarchical forecasting, probabilistic models, ML ensembles, and deep learning time-series techniques
  .
• Drive innovation by evaluating and implementing
  cutting-edge ML/AI algorithms
  .
• Guide best practices for
  data pipelines, Databricks workflows, and Azure-based solutions
  .
• Mentor and coach data scientists across global teams, fostering skill development and technical excellence.
• Collaborate with senior stakeholders and executives to
  align AI/ML strategy with business priorities
  .
• Ensure scalability, governance, and sustainability of deployed models.

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, or related field strongly preferred.
• 8–12 years of hands-on experience
  in advanced analytics and data science, with significant expertise in
  forecasting and applied ML
  .
• Proven experience in
  leading data science teams and shaping AI/ML strategy
  in enterprise environments.
• Deep expertise in
  Python, PySpark, Databricks, and Azure/Spark ecosystems
  .
• Strong experience architecting and deploying
  production-level forecasting solutions
  at scale.
• Familiarity with
  CI/CD (GitHub)
  , automation, and workflow optimization.
• Excellent leadership, communication, and stakeholder management skills, with the ability to influence at senior levels.

Exeevo is a global leader in customer relationship management (CRM) solutions, purpose-built for the Life Sciences industry. Our AI-powered, cloud-based platform unifies sales, marketing, medical, and service functions, enabling pharmaceutical, biotech, and medical device organizations to connect with stakeholders in transformative and innovative ways. By leveraging advanced technologies, Exeevo empowers Life Sciences companies to redefine how they engage with healthcare professionals, patients, and other key audiences, driving growth and delivering measurable business impact. Serving thousands of users across pharmaceutical and medical device companies globally, Exeevo has a strong international presence with offices in China, India, Europe, and North America.

About the Role: We are seeking a talented and driven Data Scientist to join our team in the life sciences industry. The ideal candidate will be responsible for a complete end-to-end data lifecycle, from ingesting raw data from Dataverse and external sources to building and deploying machine learning models in a production environment. The successful candidate will have a strong technical background, a deep understanding of data science fundamentals, and excellent communication skills.

Responsibilities:

• Data Ingestion and Engineering: Acquire and process raw data from various sources, including Microsoft Dataverse and third-party applications. Design and implement robust data pipelines on the Azure platform to clean, transform, and prepare data for analysis and model training.
• Machine Learning Model Development & Deployment: Develop, train, and evaluate machine learning models for specific business problems, such as Next Best Action (NBA) and content recommendations. Utilize the Azure ML stack to deploy models into production, ensuring seamless and scalable consumption by Dynamics and custom applications.
• Collaboration & Communication: Work closely with clients to understand their data requirements and business needs. Use data visualization to communicate complex insights and model results to both technical and non-technical stakeholders. Collaborate with data engineers and product teams to ensure data quality, pipeline efficiency, and product alignment.

Skills and Qualifications:

Mandatory Skills & Experience:

• Technical Foundation:

• Programming Proficiency: Mastery of Python and/or R, with strong SQL skills for data manipulation. Hands-on experience with critical libraries such as pandas, NumPy, scikit-learn, and deep learning frameworks like TensorFlow or PyTorch.

• Machine Learning Algorithms: Deep understanding of supervised and unsupervised learning, ensemble methods, and deep learning architectures. Proven ability to apply appropriate techniques for regression, classification, clustering, and neural network models.

• Data Expertise:

• Data Wrangling & Engineering: Expertise in cleaning, transforming, and preparing messy, real-world data. This includes handling missing values, identifying outliers, and performing advanced feature engineering.

• Data Visualization & Storytelling: Ability to create compelling data visualizations using tools like Matplotlib, Plotly, or Tableau to effectively communicate insights and tell a data-driven story.

• Azure & Cloud Experience:

• Proven experience in designing and implementing data pipelines in an Azure environment.

• Soft Skills:

• Excellent verbal and written communication skills with the ability to articulate complex technical concepts to a diverse audience, including clients and internal teams.

• Strong problem-solving and analytical skills with a proactive approach to identifying and addressing business challenges.
• Demonstrated ability to work effectively in a collaborative, team-oriented environment.

As a Data Scientist you will identify business trends and problems through complex big data analysis. You will interpret results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. You will design, develop and implement the most valuable business solutions for the organization. You will prepare big data, implements data modules and develops database to support the business solutions.

Responsibilities:

• Work on existing Digital Products and understand and enhance the current intelligent models and innovatively improve them.
• Work with stakeholders to identify opportunities from data, drive innovation and a culture of Invention Disclosures.
• Translate data into actionable insights to empower confident decisions, product creation & development, drive optimization, marketing techniques, business strategies and outcomes.
• Research, develop, plan and implement predictive AI/ML/DL based algorithms, Optimization techniques for IoT, IIOT, Robotics and other digital products.
• Develop, manage and maintain Machine Learning and Deep Learning models and algorithms to apply to data sets.
• Assess the effectiveness, efficacy and accuracy of new data sources and data gathering techniques.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Motivation and drive to seek out for new projects and opportunities.

Qualifications:

• Masters Degree - A Ph.D. in Electrical Engineering, Computer Science, or related fields is required.
• Strong oral and written communication skills.
• A collaborative mindset to excel in a team environment.
• Ability to take complex problem objectives and come up with innovative and flexible solutions.
• Proven track record of driving changes.
• Ability to reconcile complex possibly conflicting tasks and come up with realistic solutions
• Experience with distributed data/computing and orchestration tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Beam, Druid, Airflow, Presto etc.
• Expertise with statistical techniques and their applications in business.
• Coding knowledge and experience with Python is a minimum. C, C++, Java, R and JavaScript is a plus.
• 3 years of experience in working with any of the deep learning frameworks like Pytorch, Tensorflow, Caffe, etc.
• 3 years of a proven track record of independent thinking and complex problem-solving. Work can include papers in reputed conferences or journals and/or patent applications.
• 3 years of a proven track record of R&D research in an industrial setting with multiple patents/patent applications.
• 3 years of experience in robotics i.e., automation through reinforcement learning.
• 3 years of experience in optimization theory like black-box optimization methods.
• 3 years of experience in designing algorithms for IoT devices with resource and power constraints.

At Wesco, we build, connect, power and protect the world. As a leading provider of business-to-business distribution, logistics services and supply chain solutions, we create a world that you can depend on.

Our Company's greatest asset is our people. Wesco is committed to fostering a workplace where every individual is respected, valued, and empowered to succeed. We promote a culture that is grounded in teamwork and respect. With a workforce of over 20,000 people worldwide, we embrace the unique perspectives each person brings. Through comprehensive benefits and active community engagement, we create an environment where every team member has the opportunity to thrive.

Learn more about Working at Wesco here and apply online today

Founded in 1922 and headquartered in Pittsburgh, Wesco is a publicly traded (NYSE: WCC) FORTUNE 500 company.

Wesco International, Inc., including its subsidiaries and affiliates ("Wesco") provides equal employment opportunities to all employees and applicants for employment. Employment decisions are made without regard to race, religion, color, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, or other characteristics protected by law. US applicants only, we are an Equal Opportunity Employer.

Los Angeles Unincorporated County Candidates Only: Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.