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Itron, Inc.

<div>
 Itron is innovating new ways for utilities and cities to manage energy and water. We create a more resourceful world to protect essential resources for today and tomorrow. Join us.
 
 
 Itron's Resiliency Solutions business helps make communities more adaptive and sustainable. We do this by pairing external data with artificial intelligence to identify areas of high risk and prevent catastrophic loss for utilities and critical infrastructure owners across the country. We are a team of close-knit engineers, subject matter experts, and business leaders who obsess over problem-solving, new technologies, and making a positive impact in our communities.
 
 
 
 Title: Data Scientist
 
 
 
 
 Location : Pune
 
 
 
 
 Job Summary
 
 
 
 We are seeking a Data Scientist II to join our growing data science team. In this role, you will contribute to a wide range of activities related to end-to-end machine learning (ML) deployments, research, and development of data-driven features that support both internal and external stakeholders. This position is ideal for someone who enjoys variety, thrives in a collaborative environment, and wants to broaden their expertise in a structured and impactful way.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Develop subject matter expertise in the organization&rsquo;s data and product ecosystem.
 </li>
 <li>
 Partner with cross-functional teams to identify opportunities, design experiments, and deliver scalable ML solutions that create measurable business value.
 </li>
 <li>
 Lead the design of experiments and hypothesis testing to support new feature development.
 </li>
 <li>
 Design, implement, and deploy machine learning models across diverse use cases, with opportunities to apply techniques to specialized domains such as weather-related modeling.
 </li>
 <li>
 Communicate findings and insights clearly to both technical and non-technical audiences using visualizations and presentations.
 </li>
 <li>
 Monitor and evaluate model performance and ensure data quality in production.
 </li>
 <li>
 Stay current with advancements in machine learning, AI, and emerging technologies.
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Preferred: Prior experience working with weather data or weather-related modeling.
 </li>
 <li>
 3&ndash;5 years of experience building and deploying machine learning models.
 </li>
 <li>
 Master&rsquo;s or PhD in statistics, mathematics, computer science, or another quantitative field.
 </li>
 <li>
 Strong problem-solving skills with an emphasis on product development.
 </li>
 <li>
 Proficient in programming languages such as Python and/or R, with experience using libraries such as pandas, scikit-learn, and TensorFlow.
 </li>
 <li>
 Experience with SQL and relational databases for data extraction and manipulation.
 </li>
 <li>
 Hands-on experience with ML techniques for predictive modeling, classification, NLP (including large language models), recommendation systems, and time series methods.
 </li>
 <li>
 Familiarity with the software development lifecycle, version control (Git), and CI/CD pipelines.
 </li>
 <li>
 Experience with cloud-based AI/ML frameworks such as AWS, Azure, or GCP is a plus.
 </li>
 <li>
 Strong organizational, communication, and time management skills.
 </li>
 <li>
 High level of accountability and ability to deliver results in a fast-paced environment.
 
 
 </li>
 </ul>
 Itron is committed to building an inclusive and diverse workforce and providing an authentic workplace experience for all employees. If you are excited about this role but your past experiences don't perfectly align with every requirement, we encourage you to apply anyway. In the end, you may be just who we are looking for!
 
 
 The successful candidate's starting wage will be determined based on permissible, non-discriminatory factors such as skills and experience.
 
 
 Itron is proud to be an Equal Opportunity Employer. If you require an accommodation to apply, please contact a recruiting representative at 1-800-635-5461 or email Accessibility@itron.com.
 
 
 Itron is transforming how the world manages energy, water and city services. Our trusted intelligent infrastructure solutions help utilities and cities improve efficiency, build resilience and deliver safe, reliable and affordable service. With edge intelligence, we connect people, data insights and devices so communities can better manage the essential resources they rely on to live. Join us as we create a more resourceful world: www.itron.com
</div>

Data Scientist

Right Move

<div>
 
 
 Greetings for the Day&hellip;!!!
 
 
 
 We are looking for a
 
 Data Scientist
 
 for one of our esteemed clients in Pune having experience into
 
 Data Science,Machine Learning,MLOps,Statistical Analysis,Preventive Modelling,Predictive Modelling,AWS/GCP/Azure,Regression,Deployment,Manufacturing,Automobile,Deep Learning
 
 
 
 
 
 
 
 Exp: - 4+ years
 
 
 
 
 Location: Pune
 
 
 
 
 Shifts : - General shifts(Hybrid mode)
 
 
 
 
 
 
 
 Job Description:-
 
 
 <ul>
 <li>
 4+ years of hands-on experience in data science, with , supply chain, manufacturing, or logistics preferred.
 </li>
 <li>
 Deep expertise in machine learning (regression, classification, clustering, time-series), MLOps,Deep learning (CNNs, RNNs, Transformers), and reinforcement learning.
 </li>
 <li>
 Advanced programming skills in Python with experience in ML libraries (PyTorch, TensorFlow, Scikit-learn, XGBoost, Hugging Face, etc.).
 </li>
 <li>
 Experience with cloud platforms (AWS/GCP/Azure), containerization (Docker), and deployment pipelines.
 </li>
 <li>
 Strong business acumen and the ability to align technical solutions with supply chain goals and KPIs.
 </li>
 <li>
 Excellent communication skills with the ability to distill complex ideas for diverse continuously track Coach junior data scientists and shape the internal data science best practices.
 </li>
 <li>
 Experience with real-time analytics and streaming data (Kafka, Spark).
 </li>
 <li>
 Familiarity with optimization techniques (e.g., MILP, heuristics).
 </li>
 <li>
 Knowledge of NLP use cases in supply chain/S&amp;OP &mdash;contract parsing, vendor correspondence, part classification.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 *We are looking for candidates who can join us within 30 days*
 
 
 
 
</div>

Avantor

<div>
 
 The Opportunity
 
 
 
 A data analyst is responsible for organizing data related to sales numbers, market research, logistics, or other behaviors. They utilize technical expertise to ensure data is accurate and high-quality. Data is then analyzed, designed, and presented in a way that assists individuals, businesses, and organizations make better decisions.
 
 
 
 The Opportunity
 
 
 
 As a Data Scientist, you will leverage advanced statistical methods and machine learning techniques to analyze complex datasets, generate insights, and solve business problems. You will be responsible for developing and deploying ML models, performing deep-dive analyses, and collaborating with stakeholders to ensure the data strategy aligns with business objectives.
 
 
 
 What We're Looking For
 
 
 
 The ideal candidate will be responsible for
 
 
 <ul>
 <li>
 Collect, clean, and analyze large datasets to generate insights and recommendations.
 </li>
 <li>
 Develop and implement machine learning models to solve business problems.
 </li>
 <li>
 Maintain ML pipeline and fix production issues in stipulated time.
 </li>
 <li>
 Work on model maintenance and improvise model performance when necessary.
 </li>
 <li>
 Conduct hypothesis testing and statistical analyses to understand data trends.
 </li>
 <li>
 Communicate findings to non-technical stakeholders through reports and visualizations.
 </li>
 <li>
 Collaborate with engineers, product teams, and business stakeholders to translate business goals into data-driven solutions.
 
 
 </li>
 </ul>
 
 CERTIFICATIONS (Good To Have)
 
 
 
 <ul>
 <li>
 ML/AI certifications
 </li>
 <li>
 Cloud certifications &ndash; like AWS, Azure, GCP etc.
 </li>
 <li>
 Databricks or Snowflake certification.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in a quantitative field such as Data Science, Statistics, Computer Science, or Engineering.
 </li>
 <li>
 2+ years of experience in working with a product development company as a ML/AI engineer.
 </li>
 <li>
 2+ years of experience and proficiency in programming languages such as Python, Pyspark, Java.
 </li>
 <li>
 Strong hands-on experience in SQL or data manipulation/query language.
 </li>
 <li>
 2+ years of experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Good knowledge on NLP, transformers, LLM and generative AI.
 </li>
 <li>
 Strong analytical skills and proficiency in statistical analysis and data visualization.
 </li>
 <li>
 Good communication and comprehension skills to explain ML algorithms to stakeholders in a non-technical manner.
 </li>
 <li>
 Good Team player and ability to work in cross-functional teams.
 
 
 </li>
 </ul>
 
 How You Will Thrive And Create An Impact
 
 
 
 <ul>
 <li>
 With your analytical mindset and critical thinking, you will have the opportunity to participate in project development activities and suggest data driven and AI based solutions, which will be the foundation of the success of the project.
 </li>
 <li>
 With you proficient coding skills, you will have the opportunity to develop robust ML pipelines which will be modular, scalable and re-usable.
 </li>
 <li>
 You will have the opportunity to work with great minds who focusses on delivering quality products.
 
 
 </li>
 </ul>
 
 Disclaimer
 
 
 
 The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer.
 
 
 
 Why Avantor?
 
 
 
 
 Dare to go further in your career.
 
 Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science.
 
 
 
 The work we do changes people's lives for the better.
 
 It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor.
 
 
 We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world.
 
 Apply today!
 
 
 
 
 EEO Statement
 
 
 
 We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law.
 
 
 If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
 
 
 
 3rd Party Non-solicitation Policy
 
 
 
 By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation
</div>

Vertiv

<div>
 
 Job Description
 
 
 
 Vertiv is looking for a
 
 Data Engineer
 
 to build and manage the data infrastructure that powers our smart manufacturing and IoT initiatives for the switchgear and busway business. This position will lead the design, development, and deployment of scalable data pipelines, sourcing mission-critical data from our global network of manufacturing sites and IoT-enabled products. You will be responsible for creating a unified, reliable data foundation that enables advanced analytics, machine learning, and business intelligence to drive operational excellence and innovation across Vertiv.
 
 
 
 Responsibilities
 
 
 
 
 Programming &amp; Scripting:
 
 Python (Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow), R, SQL
 
 
 
 Data Engineering &amp; Big Data:
 
 Apache Spark, ETL/ELT pipeline architecture, data warehousing
 
 
 
 Databases:
 
 Relational (PostgreSQL, MySQL) and NoSQL (MongoDB)
 
 
 
 Cloud Platforms:
 
 AWS (S3, SageMaker), Google Cloud Platform (GCP - BigQuery, Vertex AI), Azure
 
 
 
 Machine Learning:
 
 Regression, Classification, Clustering, NLP, Time-Series Forecasting
 
 
 
 Statistics:
 
 Hypothesis Testing, Experimental Design, Bayesian &amp; Frequentist methods
 
 
 Architect, build, and maintain robust and scalable ETL/ELT data pipelines to process structured and unstructured data from diverse sources including Manufacturing Execution Systems (MES), ERPs, quality control systems, and IoT sensor streams.
 
 
 Design and implement a centralized cloud data platform (data warehouse/data lake) to serve as the single source of truth for all manufacturing and operational data.
 
 
 Evaluate, select, and deploy modern data stack technologies (e.g., cloud data warehouses, orchestration tools like Airflow/Prefect, transformation tools like dbt) to establish a best-in-class data infrastructure.
 
 
 Develop and enforce data engineering &ldquo;best practices&rdquo; for data quality, monitoring, logging, data governance, and CI/CD for data pipelines to ensure reliability and trust in the data.
 
 
 Collaborate closely with data scientists, BI analysts, and manufacturing stakeholders to understand data requirements and deliver production-grade datasets optimized for analytics and machine learning models.
 
 
 Design and implement standardized data models and schemas to ensure data consistency across the global organization, enabling meaningful cross-plant analysis.
 
 
 Automate manual data processes and optimize data pipeline performance to decrease data latency, improve data availability, and maximize the ROI of our data assets.
 
 
 
 Skills
 
 
 
 Expert-level proficiency in SQL and a programming language such as Python or Scala.
 
 
 Hands-on experience with a major cloud platform (AWS, Azure, or GCP) and its associated data services (e.g., AWS Glue/Redshift, Azure Data Factory/Synapse, GCP BigQuery).
 
 
 Experience with modern data orchestration and transformation tools (e.g., Airflow, dbt, Prefect).
 
 
 Strong understanding of data warehousing concepts, data modeling, and database architecture (both relational and NoSQL).
 
 
 Experience working with manufacturing data (MES, SCADA), supply chain data, or high-volume IoT streaming data (e.g., using Kafka, Kinesis).
 
 
 Partner with others and foster teamwork, with a &ldquo;can do&rdquo; positive attitude and self-motivation.
 
 
 Manage multiple priorities while working collaboratively!
 
 
 Results-driven and detail oriented.
 
 
 
 EDUCATION AND CERTIFICATIONS
 
 
 
 Bachelor&rsquo;s degree in engineering &ndash; Mechanical Engineering, Electrical Engineering, Industrial Engineering, Automation technology or related
 
 
 Strong Lean Manufacturing &amp; VSM experience, 5-7 years.
 
 
 Strong knowledge of advanced manufacturing technologies, such as automation, robotics, and additive manufacturing
 
 
 Proven track record of driving operational excellence and process improvements
 
 
 Strong analytical and problem-solving skills
 
 
 Ability to work effectively in cross-functional teams
 
 
 Expertise in implementing advanced manufacturing technologies + automation and processes
 
 
 Ability to think strategically and drive change in a dynamic environment
 
 
 Strong project management skills
 
 
 Knowledge of industry best practices and emerging trends in advanced manufacturing
 
 
 
 Physical Requirements
 
 
 
 No Special Physical Requirements
 
 
 
 ENVIRONMENTAL DEMANDS
 
 
 
 No Special Requirements
 
 
 
 Travel Time Required
 
 
 
 25%
 
 
 
 About The Team
 
 
 
 Work Authorization
 
 
 No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
 
 
 Equal Opportunity Employer
 
 
 We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability.
</div>

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 
 Salary range: Rs 3000000 - Rs 3200000 (ie INR 30-32 LPA)
 
 
 
 Min Experience: 8 years
 
 
 Location: Pune
 
 
 JobType: full-time
 
 
 This position is ideal for an experienced Senior Data Scientist who can design, build, and deploy advanced machine learning models while driving data-driven decision-making across the organization. The role involves working with large and complex datasets, developing scalable ML pipelines, and implementing end-to-end solutions within cloud environments such as Azure. You will collaborate closely with engineering, product, and business teams to convert analytical insights into meaningful business outcomes.
 
 
 
 Requirements
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Develop and deploy predictive and prescriptive machine learning models
 </li>
 <li>
 Analyze large datasets to uncover trends, patterns, and actionable business insights
 </li>
 <li>
 Work with cross-functional teams to design data-driven solutions aligned with business goals
 </li>
 <li>
 Perform data preprocessing, feature engineering, and model optimization
 </li>
 <li>
 Evaluate model performance using appropriate statistical and ML metrics
 </li>
 <li>
 Build scalable machine learning pipelines and integrate models into production systems
 </li>
 <li>
 Present insights through dashboards, visualizations, and clear reporting
 </li>
 <li>
 Engage with stakeholders and explain technical findings to non-technical audiences
 
 
 </li>
 </ul>
 
 What Makes You a Great Fit
 
 
 
 <ul>
 <li>
 Strong background in machine learning model development, deployment, and MLOps
 </li>
 <li>
 Proficiency in Python or R, with hands-on experience in SQL, Pandas, NumPy, and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn
 </li>
 <li>
 Experience working in cloud environments, especially Azure, and familiarity with tools like Power BI or automation platforms
 </li>
 <li>
 Excellent problem-solving abilities and a deep understanding of data science workflows
 </li>
 <li>
 Ability to translate technical insights into clear business recommendations
 </li>
 <li>
 Strong communication and stakeholder management skills
 </li>
 <li>
 Advanced degree in a quantitative field and 8-10+ years of overall experience (with 2-4 years relevant to data science)
 </li>
 </ul>
</div>

Sr. Data Scientist

Schaeffler

<div>
 Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. Does that sound interesting to you? As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.
 
 
 
 Your Key Responsibilities
 
 
 
 <ul>
 <li>
 Research and define analytical models based on given data/information as part of analytical ad hoc feasibility cases, proofs of concepts or with a focus on software development towards deployable analytics solutions.
 </li>
 <li>
 Collaborate with internal and/or external clients to understand business requirements.
 </li>
 <li>
 Compile, sort and organize function-specific information and data in preparation for subsequent analyses.
 </li>
 <li>
 Conduct both routine and instant data cleaning and testing, identify and resolve data quality issues in cooperation with the team.
 </li>
 <li>
 Analyze data for instant feasibility cases and proofs of concepts.
 </li>
 <li>
 Actively contribute in the research and definition of analytical models that will be transferred in the products eventually.
 
 
 </li>
 </ul>
 
 Your Qualifications
 
 
 
 <ul>
 <li>
 Graduate Degree in Business Informatics, Applied Computer Science, Mathematics, Software Engineering, Machine Learning
 </li>
 <li>
 5 to 6 years
 
 
 </li>
 </ul>
 As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives. By appreciating our differences, we inspire creativity and drive innovation. In this way, we contribute to sustainable value creation for our stakeholders and society as a whole. Together, we advance how the world moves.
 
 
 Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to your application.
 
 
 www.schaeffler.com/careers
 
 
 
 Your Contact
 
 
 
 Schaeffler Technology Solutions India Pvt. Ltd.
 
 
 Kalyani More
 
 
 For technical questions, please contact this email address: technical-recruiting-support-AP@schaeffler.com
 
 
 Keywords: Experienced; Engineer; Full-Time; Unlimited; Digitalization &amp; Information Technology;
</div>

Data Scientist - Junior

Allianz Services

<div>
 
 
 Designation - Senior Data Scientist
 
 
 
 
 Experience Range - 5 to 10 Years
 
 
 
 
 Location - Pune / Trivandrum
 
 
 
 5&ndash;10 years of relevant experience in Data Science/ML Engineering/GenAI Engineering
 
 
 ✔️ Strong expertise in Python, Azure/AWS stack
 
 
 ✔️ Hands-on experience with
 
 ML, GenAI &amp; Agentic
 
 
 
 
 
 
 
 KEY REQUIREMENTS -
 
 
 <ul>
 <li>
 A degree in a highly quantitative field such as Computer Science, Mathematics, Statistics or equivalent, postgraduate studies preferred
 </li>
 <li>
 Demonstrated experience in a Data Scientist role, applying Data Science Methods to solve real-world business problems within a commerical setting.
 </li>
 <li>
 Experience using data mining, statistical methods and machine-learning techniques.
 </li>
 <li>
 Ability to navigate complexity and ambiguity to provide pragmatic commerical solutions which meet stakeholder expectations.
 </li>
 <li>
 Excellent verbal and written communication skilss, capable of communicating with audiences at all levels with clarity, impact and influence.
 </li>
 <li>
 Good understanding of ML ops and strong Python programming skills.
 </li>
 <li>
 Ability to plan and prioritise effectively, organise tasks and manage competing resuources and demands.
 </li>
 <li>
 Proven analytical and critical thinking capability to interpret a range of data, identify patterns, trends and links that inform judgements and solutions and report accordingly.
 </li>
 <li>
 Demonstrated ability to build effective relationships internally and externally with stakeholders, intermediaries and service providers.
 </li>
 <li>
 Highly developed 'first principles' problem-solving skills, combined with a curious and creative mind-set.
 </li>
 <li>
 Highly developed consulting and influencing skills, demonstrating the ability to co-create strategy and valuable analytical solutions with key business stakeholders.
 </li>
 <li>
 Demonstrated ability in innovative development practices, able to generate data science prototypes repaidly using relevant techniques.
 </li>
 </ul>
 
 Significant experience in data science and analytics, general insurance, and predictive modelling such as quote conversion, customer retention, with ML techniques, acquired in a complex, matrixed General Insurer.
 
</div>

Senior Data Scientist (Agentic AI)

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Senior Data Scientist (Agentic AI)