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assoc scientist i

Baxter International Inc.

<div>
 
 
 This is where&nbsp;
 
 your work makes a difference.
 
 
 At Baxter, we believe every person&mdash;regardless of who they are or where they are from&mdash;deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond.
 
 
 Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results.
 
 
 Here, you will find more than just a job&mdash;you will find purpose and pride.&nbsp;
 
 
 
 Summary:
 
 
 
 The new collaborator will be driving the success of Baxter's Reference Standard Global Program (RSGP) by leveraging their expertise in method development, method transfer, validations, stability studies, LIMS, and problem-solving capabilities, in close collaboration with a Contract Research Organization (CRO) partner.
 
 
 
 Essential Duties and Responsibilities
 
 
 
 
 Technical Expertise
 
 
 <ul>
 <li>
 Serve as a Technical lead for Reference Standard development and continued suitability studies, ensuring the highest quality and compliance.
 </li>
 <li>
 Develop, transfer, validate, and optimize analytical methods, leveraging expertise in laboratory operations and quality management.
 </li>
 <li>
 Manage documentation by ensuring compliance with quality standards, adhering to regulatory guidelines such as ICH, USP, and EP.
 
 
 </li>
 </ul>
 
 Scientific Analysis and Interpretation
 
 
 <ul>
 <li>
 Assess and interpret scientific data, presenting results in a clear, concise, and actionable manner.
 </li>
 <li>
 Collaborate with cross-functional teams to drive business decisions and optimize operational efficiency.
 
 
 </li>
 </ul>
 
 Leadership and Collaboration
 
 
 <ul>
 <li>
 Foster a culture of continuous improvement, applying best-demonstrated practices and seeking regular input and feedback from end users.
 </li>
 <li>
 Implement metrics to measure quality and on-time delivery, ensuring timely and effective completion of tasks to meet business milestones.
 
 
 </li>
 </ul>
 
 Professional Development and Network
 
 
 <ul>
 <li>
 Build a professional network within the Business Unit, across Units, and outside of Baxter, driving collaboration and knowledge sharing.
 </li>
 <li>
 Maintain current knowledge of relevant Quality System Regulations and other regulatory requirements, performing risk/benefit analysis for project identification and prioritization.
 
 
 </li>
 </ul>
 
 Quality and Compliance
 
 
 <ul>
 <li>
 Adhere to the Quality System, understanding and applying applicable corporate, divisional, and departmental procedures to ensure compliance and quality standards.
 </li>
 <li>
 Demonstrate a commitment to quality and compliance, driving a culture of excellence and continuous improvement.
 
 
 </li>
 </ul>
 
 Technical and interpersonal expertise
 
 
 <ul>
 <li>
 Proven background in a range of analytical techniques, including: HPLC, GC, LC, KF, MS, FTIR, NMR etc.,
 
 
 </li>
 </ul>
 <ul>
 <li>
 Excellent communication skills, with the ability to effectively convey complex information to various stakeholders.
 </li>
 <li>
 Strong negotiation skills, with the ability to influence others internally and externally.
 
 
 </li>
 </ul>
 <ul>
 <li>
 In-depth knowledge of quality and general business systems, including:
 <ul>
 <li>
 Quality management systems (QMS)
 </li>
 <li>
 Project management methodologies
 
 
 </li>
 </ul>
 </li>
 <li>
 Ability to analyze and solve complex problems through innovative thinking and experience.
 
 
 </li>
 </ul>
 <ul>
 <li>
 Strong technical skills, with experience in:
 <ul>
 <li>
 Reviewing study protocols and reports
 </li>
 <li>
 Managing technical packages and associated documents
 </li>
 <li>
 Handling stability studies using LIMS
 
 
 </li>
 </ul>
 </li>
 <li>
 Ability to analyze and interpret complex data, with a focus on delivering high-quality results.
 </li>
 <li>
 Self-motivated and proactive, with excellent interpersonal skills and a strong ability to work independently.
 </li>
 <li>
 Proficient in project management tools and techniques, with a focus on delivering results in a timely and efficient manner.
 
 
 </li>
 </ul>
 
 Educational Qualification
 
 
 <ul>
 <li>
 Ph.D. in Analytical / Organic chemistry or Pharmaceutical sciences with a minimum of 3 years or Master in Analytical / Organic chemistry or Pharmaceutical sciences with more than 6 years of experience.
 </li>
 <li>
 Experience in Project management and CRO collaboration is an added advantage.
 
 
 </li>
 </ul>
 
 Equal Employment Opportunity
 
 
 
 Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.
 
 
 
 Reasonable Accommodations
 
 
 
 Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information.
 
 
 
 Recruitment Fraud Notice
 
 
 
 
 Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice.
 
 
</div>

Assoc Scientist I

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>

Data Scientist

UsefulBI Corporation

<div>
 
 Job Title: Gen AI Developer
 
 
 Location: Bangalore / Lucknow
 
 
 Role Type: Full-time, Senior level
 
 
 Company&rsquo;s website: https://usefulbi.com
 
 
 LinkedIn link: UBI LinkedIn
 
 
 
 
 
 About UsefulBI:
 
 
 UsefulBI is a leading AI-driven data solutions provider specialising in data engineering, cloud transformations, and AI-powered analytics for Fortune 500 companies. We help businesses turn complex data into actionable insights through our innovative products and services.
 
 
 
 
 
 Role Overview:
 
 
 We are seeking a Senior Data Scientist / Gen AI Developer who is passionate about transforming raw data into intelligent business insights and building AI models that solve real-world problems. In this role, you&rsquo;ll work across the entire data science lifecycle&mdash;from exploratory analysis and statistical modeling to deploying advanced LLM-based and Generative AI solutions.
 
 
 
 
 
 You will be at the forefront of building AI-powered products across domains like healthcare, life sciences, finance, and enterprise analytics, with a focus on real-world impact and scalable architecture.
 
 
 
 
 
 Key Responsibilities:
 
 
 &bull; Develop and deploy applications using Large Language Models (LLMs) like GPT-4, Claude, LLaMA, and Gemini.
 
 
 &bull; Build GenAI-powered tools such as AI report generators, contextual chatbots, summarization engines, and semantic search applications.
 
 
 &bull; Design, optimize, and evaluate prompts tailored for various use cases and user personas.
 
 
 &bull; Implement and enhance Retrieval-Augmented Generation (RAG) workflows for improved relevance and accuracy.
 
 
 &bull; Fine-tune and customize foundation models using techniques like LoRA, PEFT, and prompt-tuning.
 
 
 &bull; Evaluate and monitor model performance on accuracy, latency, and business-specific KPIs.
 
 
 &bull; Apply NLP techniques such as entity recognition, topic modeling, summarization, sentiment analysis, and question answering.
 
 
 &bull; Work with libraries and frameworks such as Hugging Face Transformers, Lang Chain, spaCy, and NLTK.
 
 
 &bull; Deploy GenAI applications using cloud platforms like AWS Bedrock/SageMaker, GCP Vertex AI, or Azure OpenAI.
 
 
 &bull; Build scalable and secure inference pipelines integrated with backend systems and APIs.
 
 
 &bull; Use tools like MLflow and Docker for model lifecycle management and MLOps best practices.
 
 
 &bull; Collaborate with cross-functional teams including product managers, data engineers, and designers to align AI outputs with business needs.
 
 
 &bull; Continuously experiment with new GenAI models, tools, and research to keep the solutions cutting-edge.
 
 
 
 
 
 Required Skills and Qualifications:
 
 
 &bull; 7+ years of experience as a Data Scientist with good experience in Generative AI or LLM-based applications.
 
 
 &bull; Strong expertise in Python and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch.
 
 
 &bull; Experience in end-to-end ML lifecycle including model development, validation, and deployment. &bull; Solid understanding of statistics, probability, and data modeling.
 
 
 &bull; Experience with NLP libraries (NLTK, spaCy, Hugging Face Transformers).
 
 
 &bull; Hands-on experience with GenAI tools: OpenAI APIs, LangChain, RAG, LLM fine-tuning.
 
 
 &bull; Experience with SQL and at least one NoSQL database.
 
 
 &bull; Familiarity with cloud platforms (AWS, GCP, Azure) and version control (Git).
 
 
 &bull; Strong communication skills with the ability to explain complex models to non-technical audiences.
 
 
 
</div>

Data Scientist(Gen AI , Databricks)

Flipkart

<div>
 
 
 About the role
 
 
 
 Product Managers play a pivotal role in l everaging technology for providing an exceptional customer experience. With
 
 
 the analytical and problem-solving mindset, they get deeper i nto the function/problem space, work with stakeholders
 
 
 and partners to develop a wider perspective, take Outside-In view of the problems and create a vision, strategy and
 
 
 roadmap of how software can solve i mmediate needs/wants, setting the stage for the right disruptions/innovations of
 
 
 the future. Once envisioned, they i nspire and align stakeholders - business, operations and finance, and through
 
 
 engineers transform their vision into reality.
 
 
 
 
 
 
 What you&rsquo;ll do:
 
 
 
 ● Drive the product charter with the gamut of the business, responsible for i dentifying the user needs, defining
 
 
 product constructs and user journeys
 
 
 ● Help interpret and define a product vision and strategy.
 
 
 ● Work with product leadership to define a product strategy and roadmap
 
 
 ● Collaborate with external partner teams, business teams and other cross-functional teams effectively in
 
 
 driving the projects and be the point of contact on the team
 
 
 
 
 
 
 What you&rsquo;ll need:
 
 
 
 ● At l east 3 years of experience i n product management with an academic background of post-graduation i n
 
 
 Management (MBA) or equivalent qualification.
 
 
 ● Excellent problem-solving, organizational and analytical skills, strong communication skills with the ability to
 
 
 evolve product strategy based on research, data and industry trend
 
 
 ● Strong technical abilities with prior experience of working with engineering teams.
 
 
 ● Ability to thrive in a cross-functional and fast-paced environment
 
 
 ● Ready to roll up sleeves to spend time designing UI, analyzing data, setting up quality processes and
 
 
 guardrails, jumping into the business analysis as required
 
 
 
</div>

Product Manager II

HSBC

<div>
 
 Some Careers Have More Impact Than Others.
 
 
 
 If you&rsquo;re looking for a career where you can make a real impression, join HSBC and discover how valued you&rsquo;ll be.
 
 
 HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.
 
 
 We are currently seeking an experienced professional to join our team in the role of
 
 Machine Learning Data Scientist
 
 
 
 
 Business: Global Banking &amp; Markets
 
 
 
 
 Principal Responsibilities
 
 
 
 <ul>
 <li>
 The Role Holder will be responsible for leading the data science activities within the project, working with business analysts, data scientists and developers:
 </li>
 <li>
 Reviewing the proof of concept, current state and opportunities to utilise AI/ML in the Trade and Transaction Reporting Controls area.
 </li>
 <li>
 Proposing appropriate AI/ML models and techniques that will best fit with the data domains, volumes, available tools and business priorities.
 </li>
 <li>
 Using a range of AI/ML techniques and programming languages to transform data, analyse data and identify potential data quality issues.
 </li>
 <li>
 Building scalable machine learning pipelines and using feature engineering and optimisation methods to improve data set performance.
 </li>
 <li>
 Working with technology to integrate and separate data feeds to map, produce, transform and test new machine learning pipelines.
 </li>
 <li>
 Work with Business Partners to clarify problems/opportunities and propose solutions underpinned by strong data analysis of underlying controls and processes
 </li>
 <li>
 To understand and operate within HSBC&rsquo;s AI/ML governance and procedures
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Relevant Bachelor's or equivalent University degree in AI/Machine Learning.
 </li>
 <li>
 Evidence of a successful track record of leading delivery of AI/ML solutions within Markets/Investment Banks.
 </li>
 <li>
 Strong data scientist with experience in anomaly detection techniques, particularly in the trade data domain.
 </li>
 <li>
 Awareness of a broad range of ML techniques.
 </li>
 <li>
 Google Vertex an advantage.
 </li>
 <li>
 Good overall understanding of Primary Trading systems, trading products and front to back trade lifecycle flows.
 </li>
 <li>
 Demonstrated experience working with SMEs and key stakeholders to support understanding of the problem/data.
 </li>
 <li>
 Be capable of communicating complex data science/AI/ML techniques and processes to business users and SMEs
 </li>
 <li>
 Drive and resilience as must be comfortable working in rapidly changing and ambiguous situations.
 </li>
 <li>
 Hands on ability to perform data analysis to drive business insights and decision making.
 </li>
 <li>
 Proactive and willing to use own initiative to resolve issues.
 </li>
 <li>
 Excellent communication and interpersonal skills.
 </li>
 <li>
 Structured and methodical in planning their own book of work, delivery of artefacts, managing multiple competing priorities and setting expectations with stakeholders.
 
 
 </li>
 </ul>
 
 You&rsquo;ll achieve more at HSBC
 
 
 
 HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.&rdquo;
 
 
 Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.
 
 
 <ul>
 <li>
 Issued By HSBC Electronic Data Processing (India) Private LTD***
 </li>
 </ul>
</div>

Machine Learning Data Scientist (Blr)

ETT CareerMove

<div>
 We&rsquo;re looking for a
 
 Data Scientist
 
 with strong expertise in
 
 predictive modeling, time-series forecasting, and scenario analysis
 
 to power data-driven decisions in the
 
 media and finance domains
 
 . The ideal candidate will combine advanced technical proficiency with the ability to translate analytical insights into strategic business outcomes.
 
 
 Work location: Any where in India ( Hyderabad, Bengaluru, Chennai, Mumbai, NCR
 
 
 Experience : 5-8 years . Education : BE -computers /Master&rsquo;s or higher degree in Data Science, Statistics, Applied Mathematics, Computer Science, or related field.
 
 
 
 Key Responsibilities
 
 
 
 
 IMMEDIATE/ CANDIDATES SERVING NOTICE PERIOD HIGHLY PREFERRED
 
 
 
 <ul>
 <li>
 Design and implement forecasting and predictive models using statistical and machine learning techniques (ARIMA, Prophet, XGBoost, LSTM).
 </li>
 <li>
 Build and validate scenario and &ldquo;what-if&rdquo; simulation models, applying explainable AI methods (e.g., SHAP, feature importance).
 </li>
 <li>
 Develop end-to-end ML pipelines in Python/R/SQL, ensuring scalability and reproducibility through cloud ML platforms (AWS SageMaker, Azure ML, Databricks, or GCP Vertex AI).
 </li>
 <li>
 Collaborate with cross-functional teams to integrate forecasts into finance, content, and release planning workflows.
 </li>
 <li>
 Communicate insights effectively to business stakeholders, influencing strategic and operational decisions.
 
 
 </li>
 </ul>
 
 Must-Have Skills
 
 
 
 <ul>
 <li>
 Proven experience in time-series forecasting and predictive analytics.
 </li>
 <li>
 Hands-on proficiency in Python/R/SQL and major ML frameworks (Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Familiarity with cloud-based ML environments and MLOps practices.
 </li>
 <li>
 Strong business acumen, ideally within media, finance, or entertainment analytics.
 </li>
 </ul>
</div>

Data Scientist -Media/Entertainment Analytics

Genpact

<div>
 
 Inviting applications for the role of
 
 Data Scientist
 
 
 
 
 
 
 The role involves Designing and Implementing complex machine learning and Artificial Intelligence model. Solving business problems using Analytical and Big data tool. The role will require the candidate to work independently with research business and Vendors on analyzing and defining problem statements, and work closely with development team on designing and implementing the solutions and managing the delivery of various products.
 
 
 
 
 <ul>
 <li>
 Work Location: Mumbai &amp; Bangalore
 </li>
 </ul>
 
 
 
 
 Responsibilities:
 
 
 
 
 <ul>
 <li>
 Designing and implementing complex machine learning and Artificial Intelligence model
 </li>
 <li>
 Work closely with development team on designing and implementing the solutions and managing the delivery of various products
 </li>
 <li>
 Participate in training sessions.
 </li>
 <li>
 Stay informed about the developments in AI and LLMs.
 </li>
 </ul>
 
 
 
 
 Qualifications we seek in you!
 
 
 
 
 
 Minimum Qualifications / Skills
 
 
 
 
 <ul>
 <li>
 5+ years of experience in designing and implementing AI/ML models in the following areas:
 </li>
 </ul>
 
 
 
 <ol>
 <li>
 Supervised and Unsupervised learning
 </li>
 <li>
 Deep Learning (CNN, RNN, LSTM, Transformers)
 </li>
 <li>
 Prompting, RAG and fine-tuning experience with OpenAI models and Open Source LLMs
 </li>
 <li>
 Natural language Processing (Sentiment Analysis, Embedding, Summarization, Chatbot etc.) Entity identification / extraction and Knowledge discovery from structured and unstructured content
 </li>
 </ol>
 <ul>
 <li>
 Expert in python, R, Spark, Tensor, Flow, Snowflake, Databricks and Other machine learning / LLM tools
 </li>
 <li>
 Familiar with NoSQL and vector databases
 </li>
 <li>
 Experience in CPU/GPU cloud environment
 </li>
 <li>
 PhD or master&rsquo;s degree in mathematics, Statistics, Data Science, Computer Science or Other related fields
 </li>
 </ul>
 
 
</div>

Explore 30+ Assoc scientist i in Bangalore Jobs In Bangalore Jobs In Mangaluru India this November. Find roles across top companies and apply now to boost your career.

30 assoc scientist i jobs IN Bangalore Jobs In Bangalore Jobs In Mangaluru India

Assoc Scientist I

Data Scientist

Data Scientist(Gen AI , Databricks)

Product Manager II

Machine Learning Data Scientist (Blr)

Data Scientist -Media/Entertainment Analytics

Data Scientist