software engineer

business analyst

data engineer

data analyst

senior data scientist

data scientist

Amgen

<div>Data Scientist &ndash; Compliance &amp; Internal Audit Support (Hyderabad, India)
Overview
We are seeking a highly motivated Data Scientist to join our Corporate Audit and Worldwide Compliance &amp; Business Ethics teams in Hyderabad, India. This role is ideal for a self-starter who thrives on continuous improvement, innovation, and applying advanced analytics to strengthen compliance and audit capabilities. The Data Scientist will leverage both proven technologies and emerging tools &mdash; including generative and agentic AI &mdash; to deliver impactful insights that drive ethical, compliant, and efficient business operations.
Key Responsibilities<ul><li>Apply advanced analytics, statistical modeling, and machine learning to produce actionable insights that support compliance monitoring, auditing, and risk assessment.</li><li>Develop scalable, automated data products and pipelines to improve audit and compliance processes. Stay current with new advances in AI, including generative and agentic AI applications.</li><li> Access and analyze data from multiple enterprise systems (e.g., SAP, Concur, Salesforce.com) to identify patterns, trends, and anomalies in transactions.</li><li>Partner with cross-functional teams across Compliance, Internal Audit, Commercial, R&amp;D, and IS to design and deliver innovative analytics solutions.</li><li>Develop and maintain familiarity with global healthcare compliance standards, U.S. Federal (e.g., Sunshine Act / Open Payments, CMS), state transparency regulations, and industry codes (e.g., PhRMA Code).</li><li>Present complex analyses and insights clearly to diverse audiences, including senior stakeholders.</li><li>Support priority projects and provide ad hoc analytics where needed.</li></ul>
Basic Qualifications
&bull; Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field, with 4&ndash;6 years of relevant experience &bull; OR Master&rsquo;s degree with 4+ years of relevant experience &bull; OR Ph.D. in a relevant field with 2+ years of experience
Preferred Qualifications<ul><li>Strong proficiency in Python and SQL; familiarity with statistical programming and machine learning frameworks.</li><li>Experience with data platforms such as Alteryx, Tableau, Databricks, SAS, or cloud-based solutions (AWS preferred).</li><li>Demonstrated ability to work with structured and unstructured data, including text and natural language processing.</li><li>Hands-on experience with data visualization and building intuitive dashboards for non-technical audiences.</li><li>Familiarity with AuditBoard or similar governance, risk, and compliance tools is a plus.</li><li>Proven ability to thrive in a team-oriented, cross-functional environment with strong communication skills.</li><li>Innovative mindset with a passion for leveraging emerging AI technologies in compliance and audit contexts.</li><li>Detail-oriented, proactive, and comfortable managing multiple projects in a dynamic environment.</li></ul></div>

Data Scientist

Ikigai Labs

<div>Company Description 
The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale. 
Rooted in academia, Ikigai also offers unmatched educational support that upskills workforces and transforms organizations into AI-driven ones. Ikigai Academy has already trained over 6000 students from 90+ countries on topics like &ldquo;No Code AI&rdquo; and &ldquo;Time Series Forecasting&rdquo;. 
Role Description: 
We are seeking a Data Scientist who thrives at the intersection of data transformation, analytics, and implementation. In this role, the Data Scientist will partner directly with clients to prepare, clean, and transform their data so it can seamlessly integrate with our aiCast platform. This Data Scientist will help customers unlock the value of their data&mdash;building pipelines, dashboards, and forecasts&mdash;and in many cases, own the end-to-end implementation from ingestion through delivery.
This Data Scientist position is centered on data engineering, applied analytics, and client enablement. You&rsquo;ll play a key role in helping customers get from raw data to actionable insights.
Responsibilities:<ul><li>
Collaborate with client teams to understand their data sources, structures, and business requirements.</li><li>
Design and implement data transformation pipelines to prepare data for aiCast ingestion.</li><li>
Build reporting and dashboarding solutions to help clients interpret and act on their data.</li><li>
Develop forecasting and analytics workflows to extend client use cases beyond data prep.</li><li>
Support end-to-end solution delivery&mdash;covering extraction, transformation, validation, and deployment&mdash;when applicable.</li><li>
Troubleshoot data quality issues and provide recommendations for improved structures or processes.</li><li>
Partner with internal engineering and success teams to ensure smooth implementations and knowledge transfer.</li></ul>
Qualifications:<ul><li> 
At least 1-3 years of experience in a data role, preferably with enterprise clients</li><li>
Associate&rsquo;s or Bachelor&rsquo;s degree in a relevant field (e.g., Computer Science, Statistics, or Applied Mathematics) preferred</li><li>
Proficiency in Python, including libraries like NumPy and Pandas for data transformation.</li><li>
Working knowledge of SQL for querying and joining datasets (intermediate level).</li><li>
Experience building ETL/ELT pipelines or similar data processing workflows.</li><li>
Familiarity with data visualization, reporting, or dashboarding tools.</li><li>
Strong problem-solving skills with a focus on client outcomes and practical implementation.</li><li>
Ability to work with incomplete or messy data and structure it for usability in production systems.</li><li>
Excellent communication skills for translating technical work into business impact.</li></ul>
Preferred Skills:<ul><li>
Knowledge of data transformation (e.g. using python Pandas library) database management, data integration, or data visualization is a plus</li><li>
Experience with forecasting techniques or applied time-series analytics.</li><li>
Background in client-facing or consulting roles where you owned implementation delivery.</li><li>
Understanding of software engineering best practices (version control, testing, deployment).</li></ul> 
Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law.
zhMTGPcQcP</div>

Workforce Next Pvt Ltd.

Position: Data Scientist Experience Required: 5+ Years Location: Remote Employment Type: Contractual &ndash; 6 MonthsAbout the RoleWe are looking for a highly skilled and innovative Data Scientist with 5+ years of proven experience in designing, developing, and deploying advanced machine learning and deep learning models. This role is ideal for someone who is passionate about Classical Machine Learning, Conversational AI, Generative AI, and Deep Learning Systems, and who thrives on translating complex mathematical challenges into scalable, real-world AI solutions.As a Data Scientist in our team, you will work on building cutting-edge AI-based systems with a focus on Natural Language Processing (NLP) and Large Language Models (LLMs), while collaborating closely with cross-functional teams to deliver impactful AI solutions.Key Responsibilities<ul><li>Generative AI Solutions: Develop and fine-tune models such as GANs, VAEs, and Transformers to create next-gen AI applications.</li><li>Classical ML Models: Build ML models (regression, decision trees, SVMs, random forests, gradient boosting, clustering, dimensionality reduction) to solve complex business problems.</li><li>Deep Learning Systems: Design, train, and deploy CNNs, RNNs, LSTMs, GANs, and Transformers to optimize performance and scalability.</li><li>NLP &amp; LLM Optimization: Work on NLP tasks, refine and optimize prompts, and enhance outcomes from LLMs such as GPT, BERT, and T5.</li><li>Data Management &amp; Feature Engineering: Handle large datasets, preprocessing, augmentation, and feature engineering for ML/DL workflows.</li><li>Model Evaluation &amp; Monitoring: Apply hyperparameter optimization (grid/random/Bayesian search) to improve model accuracy, precision, recall, and F1-score. Monitor for drift, bias, and overfitting.</li><li>Code Review &amp; Design Optimization: Participate in code reviews, validate algorithms, and improve system architecture for scalability and efficiency.</li><li>Collaboration &amp; Research: Work closely with engineers, product managers, and other data scientists to integrate models into production. Stay updated with the latest ML/AI research and apply relevant techniques.</li></ul>Soft Skills<ul><li>Strong problem-solving and analytical mindset.</li><li>Excellent communication and collaboration skills.</li><li>High level of ownership, accountability, and integrity.</li><li>Ability to manage time effectively and meet deadlines.</li><li>Strong aptitude for learning new technologies and research trends.</li></ul>Job Type: Contractual / Temporary Contract length: 6 monthsPay: &#8377;50,000.00 - &#8377;70,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data Scientist : 5 years (Required)</li><li>Gen AI: 5 years (Required)</li><li>Python: 5 years (Required)</li></ul>Work Location: Remote

Picarro

<div>
 
 Position:
 
 Data scientist
 
 
 
 Location:
 
 Bangalore, India
 
 
 
 Role Overview:
 
 
 
 We are seeking a Data Scientist to work closely with our semiconductor customers, analyzing fab data to drive insights, process improvements, and contamination control strategies. This role requires a strong understanding of semiconductor processes, advanced analytical methods, and the ability to work with complex data from various fab systems.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Analyze data related to FOUP chemistries, lithography scanner performance, and airborne molecular contamination (AMC) in cleanrooms.
 </li>
 <li>
 Perform data mining to uncover patterns, correlations, and anomalies in large, complex semiconductor process datasets.
 </li>
 <li>
 Collaborate directly with semiconductor fab engineers to interpret results and recommend corrective or preventive actions.
 </li>
 <li>
 Develop, refine, and apply statistical and analytical methods to process data.
 </li>
 <li>
 Create data visualizations, reports, and presentations for internal and customer use.
 </li>
 <li>
 Partner with cross-functional teams to align data analysis with customer needs and Picarro's product capabilities.
 </li>
 <li>
 Travel to customer sites all over the world to help drive solution development and implementation.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Degree in Engineering, Physics, Materials Science, or a related field; advanced degree preferred (IISc or similar institution a plus).
 </li>
 <li>
 Strong understanding of semiconductor manufacturing processes and contamination control.
 </li>
 <li>
 3+ years of hands-on experience in data analytics tools, statistical modeling, and visualization. Handson experience in Python is a must.
 </li>
 <li>
 Excellent communication and problem-solving skills.
 
 
 </li>
 </ul>
 
 Why Join Picarro?
 
 
 
 <ul>
 <li>
 Work on cutting-edge contamination monitoring solutions in the semiconductor industry.
 </li>
 <li>
 Collaborate with leading fabs and industry experts worldwide.
 </li>
 <li>
 Be part of a mission-driven company that is shaping the future of clean manufacturing.
 
 
 </li>
 </ul>
 
 About Picarro:
 
 
 
 We are the world's leader in timely, trusted, and actionable data using enhanced optical spectroscopy. Our solutions are used in a wide variety of applications, including natural gas leak detection, ethylene oxide emissions monitoring, semiconductor fabrication, pharmaceutical, petrochemical, atmospheric science, air quality, greenhouse gas measurements, food safety, hydrology, ecology, and more. Our software and hardware are designed and manufactured in Santa Clara, California and are used in over 90 countries worldwide based on over 65 patents related to cavity ring-down spectroscopy (CRDS) technology and are unparalleled in their precision, ease of use, and reliability.
 
 
 All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, gender identity, social orientation, nor on the basis of disability. Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referrals.
 
 
 If you are an individual with a disability and require reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Picarro, Inc. at disabilityassistance@picarro.com for assistance.
</div>

Zensar Technologies

<div>
 
 Data Scientist with strong Azure experience (Worked on Azure Environment) and the candidate should have expertise in the following areas:
 
 
 
 
 
 Work Location: Bangalore / Hyderabad / Pune
 
 
 Experience: 6+ yr experience
 
 
 
 
 
 
 Core Expertise
 
 
 <ul>
 <li>
 End-to-end data science workflow: data preparation, feature engineering, model building, validation, and deployment
 </li>
 <li>
 Proficiency in descriptive and inferential statistics
 </li>
 <li>
 Algorithm development for solving business problems
 </li>
 </ul>
 
 
 Azure Cloud Skills
 
 
 <ul>
 <li>
 Hands-on experience with Azure Machine Learning, Databricks, Synapse Analytics, and Data Explorer (KQL)
 </li>
 <li>
 Skilled in using Azure Notebooks and integrating Azure services with open-source frameworks
 </li>
 </ul>
 
 
 Programming &amp; Tools
 
 
 <ul>
 <li>
 Strong command of Python and R
 </li>
 <li>
 Practical experience with libraries like scikit-learn, pandas, NumPy, TensorFlow, and PyTorch
 </li>
 <li>
 SQL proficiency for data manipulation and database management
 </li>
 </ul>
 
 
 Integration &amp; Deployment
 
 
 <ul>
 <li>
 Ability to integrate Azure tools with popular ML frameworks
 </li>
 <li>
 Experience in cloud-based model deployment, monitoring, and scaling
 </li>
 </ul>
 
 
 Analytical &amp; Conceptual Strengths
 
 
 <ul>
 <li>
 Advanced analytical thinking and problem-solving
 </li>
 <li>
 Experience in exploratory data analysis (EDA)
 </li>
 <li>
 Awareness of security and compliance in data science workflows
 </li>
 <li>
 Hope this helps
 </li>
 </ul>
 
 
</div>

Datadivr

<div>
 
 Data Scientist &ndash; AI Solutions for Food &amp; Beverage
 
 
 
 📍 Kochi, Smart City | 🧠 AI/ML | 🧪 Real-World Applications | 💼 Full-time
 
 
 
 
 
 
 
 About the Role:
 
 
 We&rsquo;re looking for a hands-on, client-facing Data Scientist who can turn messy, real-world data into smart, scalable AI solutions for some of the top Food &amp; Beverage (F&amp;B) brands across India, the GCC, UK, and US.
 
 
 
 
 
 
 
 You&rsquo;ll be stepping into a high-impact role previously held by one of our top performers. From day one, you&rsquo;ll work closely with the delivery lead, collaborate with clients, and ship production-ready models that drive business outcomes.
 
 
 
 
 What You&rsquo;ll Do:
 
 <ul>
 <li>
 
 Work on applied AI use cases across demand forecasting, inventory optimization, production planning, quality control, and more.
 
 </li>
 <li>
 
 Build and deploy models using Python, Pandas, scikit-learn, PyTorch or TensorFlow.
 
 </li>
 <li>
 
 Support the development of Datadivr accelerators like
 
 
 VisionPro
 
 
 ,
 
 
 InventoryIQ
 
 
 ,
 
 
 PlaceRight
 
 
 , and custom AI agents.
 
 </li>
 <li>
 Translate business requirements into data problems and propose actionable, explainable solutions.
 </li>
 <li>
 Collaborate closely with delivery leads, product managers, and clients&mdash;often sitting in on client calls and presenting your work.
 </li>
 <li>
 Participate in weekly sprint reviews, client feedback loops, and team retrospectives.
 </li>
 </ul>
 
 
 
 
 Required Skills:
 
 <ul>
 <li>
 
 2&ndash;3 years of professional experience as a Data Scientist, ideally in a consulting company.
 
 </li>
 <li>
 
 Strong Python programming skills and familiarity with data science libraries.
 
 </li>
 <li>
 
 Experience with at least one deployment framework (e.g. Streamlit, FastAPI, Flask).
 
 </li>
 <li>
 
 Comfortable with SQL and data wrangling for messy, semi-structured data.
 
 </li>
 <li>
 
 Ability to break down and explain ML concepts to non-technical stakeholders.
 
 </li>
 <li>
 
 Hands-on experience in building and deploying data/ML pipelines on Azure, AWS, or on-premise environments.
 
 
 </li>
 </ul>
 
 Bonus If You Have:
 
 <ul>
 <li>
 
 Experience with computer vision projects (e.g. defect detection, OCR, object recognition).
 
 </li>
 <li>
 
 Familiarity with MLOps tools like MLflow, DVC, or Airflow.
 
 </li>
 <li>
 
 Familiarity with Gen AI, LLM&rsquo;s, prompt engineering, embeddings &amp; RAG.
 
 </li>
 <li>
 
 Worked in F&amp;B, manufacturing, or supply chain domains.
 
 </li>
 </ul>
 
 
 
 
 What Success Looks Like in 90 Days:
 
 <ul>
 <li>
 
 Complete onboarding and shadow 2 ongoing client engagements.
 
 </li>
 <li>
 
 Take full ownership of 1 AI use case (build, ship, support).
 
 </li>
 <li>
 
 Proactively contribute ideas to strengthen our accelerators (VisionPro, etc).
 
 </li>
 <li>
 
 Build trust with clients and peers by communicating clearly and delivering consistently.
 
 </li>
 </ul>
 
 
 
 
 🚀 Why Join Us?
 
 <ul>
 <li>
 
 You&rsquo;ll work on real problems for real businesses&mdash;and see your work in production.
 
 </li>
 <li>
 
 You&rsquo;ll have access to global clients, autonomy, and the opportunity to shape solutions end-to-end.
 
 </li>
 <li>
 
 We&rsquo;re a lean and passionate team that values clarity, ownership, and doing things that matter.
 
 </li>
 </ul>
 
 
 
 
 To fast-track your application to the top of the pile, please send an email with your resume attached and a brief Loom recording (less than 5 minutes) introducing yourself and telling us why you think you'd be a good fit to careers@datadivr.com, with "Dive Deep" in the subject line.
 
 
 
 
</div>

Valiance Solutions

<div>
 
 
 About Us:
 
 
 
 At Valiance, we empower businesses with AI-driven insights and data analytics solutions. Specializing in demand forecasting within retail Industry very specific to
 
 Apparel and Footwear
 
 domains, we leverage standardized ML models to deliver accurate forecasting outcomes to our clients. We are looking for a skilled Data Scientist who can interpret and improve these models to drive real-world business results.
 
 
 
 
 
 
 Role Overview:
 
 
 
 The Data Scientist will be responsible for applying our pre-trained demand forecasting models to generate actionable insights and highly accurate forecasting outcomes. This role involves thorough data analysis, identifying trends and anomalies, interpreting results, and communicating findings effectively to a non-technical business audience. The ideal candidate is less focused on creating algorithms and more oriented towards solving business challenges and providing insights that make a tangible impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 Data Analysis:
 
 Conduct in-depth data analysis to identify trends, patterns, and anomalies in demand/Timeseries forecasting for Retail Industry very specific to Apparel and Footwear (must have)
 </li>
 <li>
 
 Model Utilization:
 
 Leverage existing pre-trained forecasting models, optimizing their performance by incorporating a nuanced understanding of data points and improving model outcomes based on data insights.
 </li>
 <li>
 
 Interpretation &amp; Communication:
 
 Interpret model results and explain outcomes in simple, actionable terms for business stakeholders, ensuring clarity and relevance.
 </li>
 <li>
 
 Insights Generation:
 
 Develop insights that guide business decisions, aiming for highly accurate forecasting outcomes to meet business requirements.
 </li>
 <li>
 
 Collaboration:
 
 Work closely with cross-functional teams, including business stakeholders and analysts, to ensure forecasting outputs align with business objectives and provide real-world value.
 </li>
 <li>
 
 Continuous Improvement:
 
 Identify opportunities to improve model performance through better data usage and fine-tuning, rather than new model development.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 
 Experience:
 
 
 3-6 years of experience
 
 in data science or a related field, specifically in
 
 Demand/Timeseries forecasting for Retail Industry very specific to Apparel and Footwear (must have)
 
 </li>
 <li>
 
 Technical Proficiency:
 
 Strong skills in data analysis, data visualization, and working with pre-trained ML models. Proficiency in Python, and SQL is preferred.
 </li>
 <li>
 
 Business Focus:
 
 Strong orientation towards solving business problems rather than a pure focus on machine learning algorithms.
 </li>
 <li>
 
 Communication Skills:
 
 Ability to clearly communicate insights and forecast results to non-technical stakeholders in simple, understandable language.
 </li>
 <li>
 
 Problem Solving:
 
 Demonstrated ability to interpret data, uncover actionable insights, and suggest practical solutions for business needs.
 </li>
 <li>
 
 Detail-Oriented:
 
 Thorough attention to detail, ensuring accuracy in forecasting and relevance of insights.
 </li>
 <li>
 
 Educational Background:
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, or a related field.
 </li>
 </ul>
 
 
</div>

Explore 5586+ Data scientist in India this September. Find roles across top companies and apply now to boost your career.

5586 data scientist jobs IN India

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist