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associate scientist

Syngene International Limited

<div>
 Date: 23 Dec 2025
 
 
 Location:
 
 
 Bangalore, KA, IN, 560099
 
 
 Division: Dedicated Centre
 
 
 
 Job Description
 
 
 
 Designation: Associate Scientist (8-I)
 
 
 Job Location: Bangalore
 
 
 Department: BBRC PD ARD &ndash; GMP
 
 
 
 About Syngene
 
 
 
 Incorporated in 1993, Syngene International Ltd. is an innovation-focused global discovery, development, and manufacturing organization providing integrated scientific services to the pharmaceutical, biotechnology, nutrition, animal health, consumer goods, and specialty chemical industries worldwide. Syngene&rsquo;s clientele includes world leaders such as Bristol-Myers Squibb, Baxter, Amgen, GSK, Merck KGaA, and Herbalife. Its innovative culture is driven by the passion of its 4240- a strong team of scientists who work with clients from around the world to solve their scientific problems, improve R&amp;D productivity, speed up time to market, and lower the cost of innovation.
 
 
 Job Purpose (1-2 Lines): Analytical Research and Development working on Analytical GMP testing (AGT), and Syngene BMS Laboratory (SBL) stability programs
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Routine testing of stability samples using chromatographic, dissolution, and wet analytical techniques under a GMP environment following all cGMP practices
 </li>
 <li>
 Performing instrument calibration, method validation, and method transfers
 </li>
 <li>
 Troubleshooting HPLC and dissolution apparatus
 </li>
 <li>
 Interpretation of stability data and results trending
 </li>
 <li>
 Investigation of OOS/OOT and other laboratory events
 </li>
 <li>
 Deliver analytical results within the established windows and as per applicable guidelines
 </li>
 <li>
 Compliance &amp; implementation of quality systems
 </li>
 <li>
 Follow environment, health, and safety (EHS) requirements at all times in the workplace ensuring individual and lab/plant safety
 </li>
 <li>
 Electronic lab notebook documentation
 </li>
 <li>
 Miscellaneous lab responsibilities
 
 
 </li>
 </ul>
 Educational Qualifications: M.Sc. Chemistry or M. Pharm
 
 
 
 Technical/Functional Skills
 
 
 
 <ul>
 <li>
 The candidate should have a good educational and theoretical, analytical chemistry background
 </li>
 <li>
 Good knowledge of analytical techniques
 </li>
 <li>
 The candidate should understand instrument calibration, method validation, and routine analysis
 </li>
 <li>
 Good understanding of documentation as per GxP requirements (electronic notebook)
 </li>
 <li>
 The candidate should have good proficiency in MS office tools
 </li>
 <li>
 Experience in stability samples testing and good knowledge of ICH guidelines &amp; cGMP regulatory requirements
 </li>
 <li>
 Must have worked in a cGMP-regulated environment, exposure to regulatory inspections like US FDA, MHRA, etc. is preferred
 
 
 </li>
 </ul>
 
 Behavioral Skills
 
 
 
 <ul>
 <li>
 Strong commitment toward work and a high level of dedication, enthusiasm, and motivation
 </li>
 <li>
 Good speaking-listening-writing skills, attention to detail, proactive self-starter
 </li>
 <li>
 Ability to work successfully in a dynamic environment
 </li>
 <li>
 Should be able to work in a team and flexible for working in shifts.
 </li>
 <li>
 Ability to meet tight deadlines and prioritize workloads.
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodations for qualified individuals with disabilities.
</div>

Associate Scientist

Qualitest

<div>
 
 Data Scientist &ndash; QA &amp; AI Enablement (Hub Model)
 
 
 Role Summary
 
 
 
 We are seeking one Data Scientist to join the Hub component of the client hub-and-spoke engagement model. The Data Scientist will play a key role in supporting the deployment, refinement, and optimization of Coco bots and AI-driven quality engineering initiatives.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Participate in daily stand-up meetings, provide status updates, highlight risks, and deliver daily and weekly status reports.
 </li>
 <li>
 Collaborate with business and technical stakeholders to gather representative and high-quality datasets for AI model development and testing.
 </li>
 <li>
 Perform statistical analysis, data visualization, data cleansing, and preparation of datasets for AI/ML testing and validation.
 </li>
 <li>
 Evaluate the effectiveness, reliability, and accuracy of new and existing data sources using appropriate data assessment techniques.
 </li>
 <li>
 Apply predictive modeling techniques to improve QA efficiency and optimize broader business outcomes.
 </li>
 <li>
 Coordinate with cross-functional teams to implement data models and monitor their operational outcomes.
 </li>
 <li>
 Develop and maintain processes, metrics, and tools to continuously monitor model performance, data quality, and accuracy over time.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience (Must Haves)
 
 
 
 <ul>
 <li>
 AI / Machine Learning: Proficiency level 4/5
 </li>
 <li>
 Predictive Modeling: Proficiency level 4/5
 </li>
 <li>
 Data Modeling Implementation: Proficiency level 3/5
 </li>
 </ul>
</div>

Data Scientist- QA and AI Enablement

<div>
 Date: 10 Oct 2025
 
 
 Location:
 
 
 Bangalore, KA, IN, 560099
 
 
 Division: Discovery Services
 
 
 
 Job Title: Invivo Pharmacology Scientist
 
 
 
 
 Job Location: Bangalore
 
 
 
 
 JOB PURPOSE (Briefly Describe The Objectives Of The Job)
 
 
 
 Responsible for executing the assigned in vivo efficacy studies in metabolic disorder therapeutic area.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Responsible to conduct assigned research projects including experiments with utilizing current concepts and recognized standard techniques.
 </li>
 <li>
 Responsible to set up the experimental designs, analysis of data and concluding from the progress.
 </li>
 <li>
 Record laboratory observations information in lab notebooks, database and document the experimental designs.
 </li>
 <li>
 Responsible for data analysis, perform calculations for the result of the experiment.
 </li>
 <li>
 Summarize the research and communicate result of research to the supervisor.
 
 
 </li>
 </ul>
 
 Educational Qualification
 
 
 
 <ul>
 <li>
 M.Pharm Pharmacology
 </li>
 <li>
 M.V.Sc Pharmacology / Pathology
 </li>
 <li>
 M.Sc Neuroscience / Biochemistry / Biotechnology
 
 
 </li>
 </ul>
 
 Work Experience
 
 
 
 0 - 6 years of Industrial experience
 
 
 
 Technical /Functional Skills
 
 
 
 <ul>
 <li>
 Hands-on experience in execution of CNS disease models which includes psychiatric disorders such as anxiety, depression, PTSD etc., and neurological conditions like Alzheimer&rsquo;s disease, Parkinson&rsquo;s disease, cerebral ischemia and epilepsy.
 </li>
 <li>
 Hands-on experience in animal behavioral observation, quantification of animal behavior, experience in stereotaxic surgery, microdialysis, cannulation techniques, immunohistochemistry and ELISA.
 </li>
 <li>
 Will work independently or in association with senior scientists and other associates in the design and execution of in-vivo efficacy experiments in the relevant therapeutic area.
 </li>
 <li>
 Experience in animals handling (rodents and non rodents) such as dosing by various routes, bleeding by various routes, injections by various routes and surgical modalities which includes cannulation etc&hellip;
 </li>
 <li>
 Associate to provide technical, analysis and reporting outcomes of research for projects in relevant therapeutic area.
 </li>
 <li>
 Organizational skills and the ability to work in a highly collaborative environment are required.
 
 
 </li>
 </ul>
 
 Behavioral/Managerial Skills
 
 
 
 <ul>
 <li>
 Good communication skills
 </li>
 <li>
 Excellent interpersonal skills.
 </li>
 <li>
 Good team player
 </li>
 <li>
 Strong documentation Skills.
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodation for qualified individuals with disabilities.
</div>

in vivo pharmacologist

AB InBev GCC India

<div>
 
 
 Dreaming big is in our DNA. It&rsquo;s who we are as a company. It&rsquo;s our culture. It&rsquo;s our heritage. And more than ever, it&rsquo;s our future. A future where we&rsquo;re always looking forward. Always serving up new ways to meet life&rsquo;s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together &ndash; when we combine your strengths with ours &ndash; is unstoppable. Are you ready to join a team that dreams as big as you do?
 
 
 
 
 
 
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 
 
 
 Do You Dream Big?
 
 
 
 
 
 
 
 We Need You.
 
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 
 Job Title:
 
 Junior Data Scientist
 
 
 
 Location:
 
 Bangalore
 
 
 
 Reporting to:
 
 Senior Data Scientist
 
 
 
 
 
 
 
 
 
 1. Purpose of Role
 
 
 
 
 
 
 The Junior Data Scientist will support the development of analytical solutions that enable data-driven decision-making across the organization. The role focuses on building foundational skills in Python, SQL, and core data science workflows. It involves working closely with senior team members to prepare data, develop basic models, perform exploratory analysis, and contribute to documentation and reproducibility. This position is designed for individuals who can learn quickly, collaborate effectively, and apply structured problem-solving to business challenges.
 
 
 
 
 
 
 2. Key Tasks and Accountabilities
 
 
 
 
 
 <ul>
 <li>
 Assist in developing data science models and analytical components using Python with working knowledge of syntax, data structures, and foundational libraries such as pandas and numpy
 </li>
 <li>
 Conduct exploratory data analysis, basic feature creation, and initial statistical checks under the guidance of senior team members
 </li>
 <li>
 Write clean, readable, and well-organized code while following best practices shared by the team
 </li>
 <li>
 Collaborate with cross-functional teams to understand data needs, gather requirements, and support translation of business questions into analytical tasks
 </li>
 <li>
 Work with existing codebases to understand workflow logic, make incremental enhancements, and support maintenance tasks
 </li>
 <li>
 Use version control tools like Git for basic code commits, branching, and collaboration.
 </li>
 <li>
 Write simple to intermediate SQL queries to extract and prepare data from relational databases
 </li>
 <li>
 Support documentation of processes, datasets, code logic, and outputs for future use
 </li>
 <li>
 Learn and adopt standard development and data science methodologies including model evaluation, reproducibility, and simple automation of tasks
 </li>
 <li>
 Participate in team learning initiatives, staying curious about new tools, techniques, and best practices in analytics
 </li>
 </ul>
 
 
 
 
 
 3. Qualifications, Experience and Skills
 
 
 
 
 
 
 
 Education:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Information Systems, Mathematics, Statistics, Engineering, or a related discipline.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 
 
 
 <ul>
 <li>
 1&ndash;3 years of experience in data science, analytics, or related technical roles, preferably with exposure to hands-on projects, internships, or academic assignments involving Python and data analysis.
 </li>
 </ul>
 
 
 
 
 
 Mandatory Skills:
 
 
 
 
 
 <ul>
 <li>
 
 Python Programming (Beginner to Intermediate):
 
 </li>
 <li>
 Basic proficiency with syntax, data structures, and use of core libraries such as pandas and numpy.
 </li>
 <li>
 
 Data Science Foundations:
 
 </li>
 <li>
 Understanding of descriptive statistics, basic model-building concepts, and feature preparation.
 </li>
 <li>
 
 SQL (Beginner to Intermediate):
 
 </li>
 <li>
 Ability to write queries for data extraction and manipulation.
 </li>
 <li>
 
 Version Control (Git):
 
 </li>
 <li>
 Familiarity with commits, branches, and collaborative code workflows.
 </li>
 <li>
 
 Code Adaptability:
 
 </li>
 <li>
 Ability to read and understand existing code and make minor enhancements.
 </li>
 </ul>
 
 
 
 
 
 Preferred (Good to Have) Skills
 
 
 
 
 
 <ul>
 <li>
 Exposure to Object-Oriented Programming (OOP) concepts in Python
 </li>
 <li>
 Basic knowledge of model evaluation techniques or lifecycle stages
 </li>
 <li>
 Awareness of test-driven development principles
 </li>
 <li>
 Experience with Jupyter notebooks, dashboards, or simple automation scripts.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 We dream big to create future with more cheers
 
 .
 
</div>

Junior Data Scientist

Microsoft

<div>
 
 Overview
 
 
 
 We are seeking a passionate and technically skilled Data Scientist II to join the Commerce &ndash; Platforms, Data, and Experiences (PDX) team. This team plays a pivotal role in shaping Microsoft&rsquo;s commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.
 
 
 As a Data Scientist II in PDX, you will work at the intersection of data engineering, data processing, and machine learning to solve complex business problems. You will collaborate with cross-functional teams to design experiments, build predictive models, and develop scalable solutions that enhance decision-making and customer experiences by producing descriptive, diagnostic, predictive and prescriptive insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement advanced analytics solutions to support commerce data platform initiatives including analytics based on Machine Learning Models.
 </li>
 <li>
 Partner with engineering and product teams to define data requirements and ensure high-quality data pipelines.
 </li>
 <li>
 Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets.
 </li>
 <li>
 Ensure the models built are operable, scalable, extensible and performant.
 </li>
 <li>
 Develop dashboards, visualizations, and storytelling artifacts to communicate insights to stakeholders.
 </li>
 <li>
 Lead experimentation efforts to evaluate new features, forecasting, data quality and anomaly detection systems.
 </li>
 <li>
 Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or related field.
 </li>
 <li>
 2+ years of experience in data science, analytics, or applied machine learning.
 </li>
 <li>
 Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience with cloud platforms (Azure preferred) and big data technologies.
 </li>
 <li>
 Strong understanding of statistical modeling, predictive analytics, and experimentation design.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Scientist II

Glance

<div>
 
 
 What you will be doing
 
 
 
 We are looking for a Data Scientist who can operate at the intersection of
 
 classical machine learning
 
 ,
 
 large-scale recommendation systems
 
 , and
 
 modern agentic AI systems
 
 .
 
 
 You will design, build, and deploy intelligent systems that power Glance&rsquo;s personalized lock screen and live entertainment experiences. This role blends deep ML craftsmanship with forward-looking innovation in autonomous/agentic systems.
 
 
 
 Your responsibilities will include:
 
 
 
 
 Classical ML &amp; Recommendation Systems
 
 
 <ul>
 <li>
 Design and develop large-scale recommendation systems using advanced ML, statistical modelling, ranking algorithms, and deep learning.
 </li>
 <li>
 Build and operate machine learning models on diverse, high-volume data sources for personalization, prediction, and content understanding.
 </li>
 <li>
 Develop rapid experimentation workflows to validate hypotheses and measure real-world business impact.
 </li>
 <li>
 Own data preparation, model training, evaluation, and deployment pipelines in collaboration with engineering counterparts.
 </li>
 <li>
 Monitor ML model performance using statistical techniques; identify drifts, failure modes, and improvement opportunities.
 </li>
 </ul>
 
 
 Agentic Systems &amp; Next-Gen AI
 
 
 <ul>
 <li>
 Build and experiment with
 
 agentic AI systems
 
 that autonomously observe model performance, trigger experiments, tune hyperparameters, improve ranking policies, or orchestrate ML workflows with minimal human intervention.
 </li>
 <li>
 Apply
 
 LLMs, embeddings, retrieval-augmented architectures, and multimodal generative models
 
 for semantic understanding, content classification, and user preference modelling.
 </li>
 <li>
 Design intelligent agents that can automate repetitive decision-making tasks&mdash;e.g., candidate generation tuning, feature selection, or context-aware content curation.
 </li>
 <li>
 Explore reinforcement learning, contextual bandits, and self-improving systems to power next-generation personalization.
 </li>
 </ul>
 
 
 Cross-functional impact
 
 
 <ul>
 <li>
 Collaborate with Designers, UX Researchers, Product Managers, and Software Engineers to integrate ML and GenAI-driven features into Glance&rsquo;s consumer experiences.
 </li>
 <li>
 Contribute to Glance&rsquo;s ML/AI thought leadership&mdash;blogs, case studies, internal tech talks, and industry conferences.
 </li>
 <li>
 Thrive in a multi-functional, highly collaborative team environment with engineering, product, business, and creative teams.
 </li>
 <li>
 Plus: Interface with stakeholders across Product, Business, Data, and Infrastructure to align ML initiatives with strategic priorities.
 </li>
 </ul>
 
 
 
 
 We are seeking candidates with deep expertise in ML, recommendation systems, and a strong appetite for building agentic AI systems.
 
 
 You should have experience with:
 
 <ul>
 <li>
 Large-scale ML and recommendation systems (collaborative filtering, ranking models, content-based approaches, embeddings).
 </li>
 <li>
 Classical ML and deep learning techniques across NLP, sequence modelling, RL, clustering, and time series.
 </li>
 <li>
 Experience in deploying ML workflows/models in production system
 </li>
 <li>
 Big data processing (Spark, distributed data systems) and cloud computing.
 </li>
 <li>
 Designing end-to-end ML solutions&mdash;from prototype to production.
 </li>
 <li>
 Plus: Building or experimenting with LLMs, generative models, and agentic AI workflows (e.g., autonomous evaluators, self-improving pipelines, automated experiment agents).
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/master&rsquo;s in computer science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields. PhD is a plus.
 </li>
 <li>
 6+ years of industry experience in ML/Data Science, ideally in large-scale recommendation systems or personalization.
 </li>
 <li>
 Experience with LLMs, retrieval systems, generative models, or agentic/autonomous ML systems is highly desirable.
 </li>
 <li>
 Expertise with algorithms in NLP, Reinforcement Learning, Time Series, and Deep Learning, applied on real-world datasets.
 </li>
 <li>
 Proficient in Python and comfortable with statistical tools (R, NumPy, SciPy, PyTorch/TensorFlow, etc.).
 </li>
 <li>
 Strong experience with the big data ecosystem (Spark, Hadoop) and cloud platforms (Azure, AWS, GCP/Vertex AI).
 </li>
 <li>
 Comfortable working in cross-functional teams.
 </li>
 <li>
 Familiarity with privacy-preserving ML and identity-less ecosystems (especially on iOS and Android).
 </li>
 <li>
 Excellent communication skills with the ability to simplify complex technical concepts.
 </li>
 </ul>
 
 
 
 We value curiosity, problem-solving ability, and a strong bias toward experimentation and production impact.
 
 
 Our team includes engineers, physicists, economists, mathematicians, and social scientists&mdash;a great data scientist can come from anywhere.
 
</div>

Machine Learning Engineer III - Recommendation Systems

Data Scientist, Product Analytics

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