data analyst

data scientist

assurance - risk modeling services- ai data scientist- senior associate Jobs in Hyderabad

assurance - risk modeling services- ai data scientist- senior associate

data analytics analyst [t500-20967] Jobs in Hyderabad

data analytics analyst [t500-20967]

data engineer

senior data scientist

<div>
 
 
 Job Summary:
 
 
 
 We are looking for a results-driven
 
 Data Scientist
 
 with a strong foundation in
 
 SQL
 
 and
 
 Python
 
 , coupled with hands-on experience in
 
 AI/ML
 
 and exposure to
 
 Generative AI (GenAI)
 
 technologies. The ideal candidate will work on developing predictive models, building data pipelines, and experimenting with GenAI tools to solve business challenges and enhance decision-making.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design and implement
 
 AI/ML models
 
 for a variety of business use cases, including prediction, classification, clustering, and personalization.
 </li>
 <li>
 Extract, clean, and manipulate large datasets using
 
 SQL
 
 and
 
 Python
 
 for model development and analysis.
 </li>
 <li>
 Apply and experiment with
 
 Generative AI
 
 techniques (e.g., LLMs, text generation, summarization, prompt engineering) for emerging business needs.
 </li>
 <li>
 Build scalable data pipelines and automate data workflows.
 </li>
 <li>
 Work collaboratively with cross-functional teams to define project goals and deliver actionable insights.
 </li>
 <li>
 Communicate analytical results and technical concepts to both technical and non-technical stakeholders.
 </li>
 <li>
 Stay current with advancements in
 
 AI/ML
 
 and
 
 GenAI
 
 technologies and frameworks.
 </li>
 </ul>
 
 
 
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Strong programming skills in
 
 Python
 
 with experience in libraries like
 
 Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch
 
 .
 </li>
 <li>
 Proficiency in
 
 SQL
 
 for data extraction, joins, and optimization.
 </li>
 <li>
 Solid understanding of machine learning algorithms and data science best practices.
 </li>
 <li>
 Experience handling structured and unstructured data.
 </li>
 <li>
 Exposure to
 
 Generative AI
 
 tools and frameworks (e.g., OpenAI APIs, Hugging Face, LangChain).
 </li>
 <li>
 Familiarity with data visualization tools and cloud platforms (AWS, GCP, Azure) is a plus.
 </li>
 </ul>
 
 
</div>

Data Scientist

Brace Infotech Private Ltd

<div>
 
 Looking for Immediate Joiners
 
 
 
 
 
 Seeking a highly skilled Data Scientist with a strong background in Mechanical Engineering to analyze telemetry data and develop statistical models for identifying and predicting anomalies within the mechanical and electrical infrastructure of data centers.
 
 
 &middot; Design, deploy, and maintain statistical and machine learning models to analyze real-time telemetry data from critical mechanical systems, including HVAC (AHU/MAU/CRAC/CRAH/RTU), cooling units, chillers, water chemistry, server floor cooling infrastructure, process cooling (MCU/PCU)/CUBs, and wastewater treatment.
 
 
 &middot; Leverage expertise in mechanical systems to understand equipment behavior, identify anomalies, and contribute to root cause analysis, including understanding key steps in mechanical maintenance.
 
 
 &middot; Develop equations and logic based on control flow, temperature, pressure, and flux for deployed systems, and apply statistical process control to identify mechanical failures within those systems.
 
 
 &middot; Monitor and interpret model outputs to proactively identify and investigate early indicators of equipment degradation, performance deviations, and potential failures.
 
 
 &middot; Collaborate closely with data center operations and engineering teams to validate detected anomalies, conduct comprehensive root cause analysis, and recommend effective corrective actions.
 
 
 &middot; Develop and manage insightful dashboards and reports to visualize key metrics and provide actionable insights to stakeholders.
 
 
 &middot; Continuously refine and enhance anomaly detection algorithms based on new data, feedback from field operations, and evolving industry best practices.
 
 
 Document all findings, analysis methodologies, and resolution steps to contribute to a comprehensive knowledge base for the program.
 
 
 &middot; Bachelor's or Master's Degree in Mechanical Engineering, Systems Engineering, or a related field, with demonstrated experience in Data Science, Computer Science Engineering, or equivalent.
 
 
 &middot; Proven experience in data analysis, statistical modeling, and machine learning.
 
 
 &middot; Strong proficiency in data analysis tools and programming languages (e.g., Python, R, SQL).
 
 
 &middot; In-depth knowledge of data center mechanical infrastructure, including HVAC systems (AHU/MAU/CRAC/CRAH/RTU), cooling units, chillers, water chemistry, server floor cooling infrastructure, process cooling (MCU/PCU)/CUBs, and wastewater treatment.
 
 
 &middot; Exceptional problem-solving abilities and the capacity to work both independently and as a vital member of a cross-functional team.
 
 
 &middot; Excellent communication skills, with the ability to translate complex data findings into clear, actionable recommendations for a non-technical audience.
 
 
 &middot; Strong knowledge with fundamental concepts such as heat transfer, fluid dynamics, and thermodynamics as they apply to cooling systems, including an understanding of refrigerants and coolants.
 
 
 &middot; Critical experience with telemetry data, various sensor types, and their outputs (e.g., temperature, pressure, flow rate) for effective interpretation of raw data feeding anomaly detection models.
 
 
 &middot; Ability to utilize analytical findings to diagnose potential mechanical issues, such as pump failures, leaks, or valve malfunctions. Experience with root cause analysis is a strong plus.
 
</div>

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 Assistant Manager: Data Scientist &ndash; Brand Research &amp; Insights
 
 
 Looking for candidates who can support the strategic marketers with advanced analytics, data-driven insights, predictive modeling, and AI-enabled solutions to elevate research, campaign strategy, and reporting. Someone with experience in data science, statistical modeling, data visualization, and marketing analytics&mdash;who is adept at turning complex data into actionable recommendations. The ideal candidate is collaborative, innovative, and eager to learn, with the ability to quickly adapt to changing business requirements and marketing priorities.
 
 
 Key skills and professional experience:
 
 
 <ul>
 <li>
 Overall, 7+ years&rsquo; experience with at least 5+ years of relevant data science, statistical analysis, or marketing analytics experience, ideally with exposure to U.S./Global marketers or professional services.
 </li>
 <li>
 Good knowledge of data science, machine learning, and AI concepts&mdash;including regression, clustering, predictive modeling, and data mining.
 </li>
 <li>
 Hands-on experience with programming languages such as Python and/or R, and proficiency in statistical software (SPSS, SAS, or similar).
 </li>
 <li>
 Proficiency in data visualization tools such as Power BI and Tableau, with the ability to present complex analyses in intuitive graphical and tabular formats.
 </li>
 <li>
 Experience with Generative AI tools and techniques (e.g., large language models, prompt engineering, or AI-driven analytics) is a strong plus.
 </li>
 <li>
 Familiarity with survey programming platforms (Qualtrics, Decipher) and secondary research databases (EIU, EMIS, Gartner, IDC, etc.) is advantageous.
 </li>
 <li>
 Excellent analytical and problem-solving skills, with the ability to synthesize large datasets, spot trends, and draw logical inferences.
 </li>
 <li>
 Strong project management skills&mdash;ability to scope, plan, execute, and deliver analytics projects on time.
 </li>
 <li>
 Collaborative and team-oriented, with a proven ability to manage multiple activities and competing demands simultaneously.
 </li>
 <li>
 Strong communication skills, able to translate technical findings into actionable business insights and present them to non- technical stakeholders.
 </li>
 <li>
 Attention to detail and quality, with a track record of ensuring data integrity and actionable recommendations.
 
 
 </li>
 </ul>
 Work you&rsquo;ll do
 
 
 As a Data Scientist, you will support marketing analytics, advanced research, and campaign strategy for various industries, markets, and functions. You will conduct deep-dive analyses, build predictive models, and generate actionable insights to inform marketing decisions and drive business growth. You&rsquo;ll be expected to proactively identify new opportunities for data- driven marketing, quickly analyze information, spot exceptions or trends, and conduct required follow-up. You should be team-oriented, able to manage multiple projects, and comfortable collaborating with marketers, researchers, and leadership.
 
 
 Key job responsibilities include:
 
 
 <ul>
 <li>
 Advanced analytics and modeling:
 </li>
 <li>
 Develop and implement statistical models (e.g., regression, clustering, segmentation) and machine learning algorithms to extract insights from marketing, survey, and external data.
 </li>
 <li>
 Leverage Generative AI and other emerging technologies to enhance marketing research and campaign effectiveness.
 </li>
 <li>
 Conduct exploratory data analysis to identify trends, patterns, and actionable insights.
 </li>
 <li>
 Create dashboards, infographics, and visualizations to communicate findings to stakeholders.
 </li>
 <li>
 Marketing and business research:
 </li>
 <li>
 Analyze market, client, and competitor data to inform marketing strategy and campaign planning.
 </li>
 <li>
 Oversee brand data and analytics to identify emerging market trends and opportunities for Deloitte.
 </li>
 <li>
 Collaboration:
 </li>
 <li>
 Build strong relationships with marketers, researchers, and leadership to understand business needs and deliver impactful analytics solutions.
 </li>
 <li>
 Regularly interact with marketing teams to adapt to changing requirements and priorities.
 </li>
 <li>
 Day-to-day responsibilities:
 </li>
 <li>
 Collaborating with teams leads to manage workflow, ensuring adequate resources, and supporting work requests.
 </li>
 <li>
 Contribute to knowledge sharing and continuous improvement of analytics capabilities within the team.
 
 
 </li>
 </ul>
 Location: Hyderabad
 
 
 Shift timings: 11am &ndash; 8pm
 
 
 The team
 
 
 The Brand Research &amp; Insights (BR&amp;I) team is part of the broader Brand Marketing &amp; Communications team. The USI BR&amp;I team supports strategic marketers in developing and implementing effective marketing strategies and plans across industries, regions, and functions. The team provides a wide range of services, which help the Business Chief Marketing Officers, Strategic Marketers, and Partners, Principals, and Directors (PPDs) expand client relationships and build Deloitte&rsquo;s presence and reputation in the market. It develops marketing and research-based insights through competitive intelligence reports, executive profiles, persona-based research, event analysis, research material, and marketing brochures to equip leadership teams to drive strategic initiatives and win business for the firm.
 
 
 
 Qualifications
 
 
 
 Required: Master&rsquo;s degree in Statistics, Mathematics, Data Science, or a related field. Bachelor&rsquo;s degree in Statistics, Mathematics/ B.Tech
 
 
 How you&rsquo;ll grow
 
 
 At Deloitte, we&rsquo;ve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities&mdash;including exposure to leaders, sponsors, coaches, and challenging assignments&mdash;to help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources, including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices, is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people&rsquo;s growth and development. Explore DU: The Leadership Center in India
 
 
 
 Benefits
 
 
 
 At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
 
 
 Deloitte&rsquo;s culture
 
 
 Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte.
 
 
 Corporate citizenship
 
 
 Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte&rsquo;s impact on the world.
 
 
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 312839
</div>

Hyderabad - Data Scientist - Assistant Manager

PwC Acceleration Center India

<div>
 A career within Actuarial Services, will provide you with the opportunity to contribute general insurance advice and consulting services to clients such as insurers, banks, regulators, and third party administrators. You&rsquo;ll provide advice covering solvency, economic capital, risk management, mergers and acquisitions, company restructuring and risk control, financial modelling, underwriting, new legislation, and the efficiency of claims or reporting processes. Simply put, you might help analyse the impact that new regulation will have on an insurance company&rsquo;s balance sheet or you could be revising businesses&rsquo; projections and making sure they have adequate reserves.
 
 
 To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.
 
 
 
 Responsibilities
 
 
 
 As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:
 
 
 <ul>
 <li>
 Use feedback and reflection to develop self awareness, personal strengths and address development areas.
 </li>
 <li>
 Delegate to others to provide stretch opportunities, coaching them to deliver results.
 </li>
 <li>
 Demonstrate critical thinking and the ability to bring order to unstructured problems.
 </li>
 <li>
 Use a broad range of tools and techniques to extract insights from current industry or sector trends.
 </li>
 <li>
 Review your work and that of others for quality, accuracy and relevance.
 </li>
 <li>
 Know how and when to use tools available for a given situation and can explain the reasons for this choice.
 </li>
 <li>
 Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
 </li>
 <li>
 Use straightforward communication, in a structured way, when influencing and connecting with others.
 </li>
 <li>
 Able to read situations and modify behavior to build quality relationships.
 </li>
 <li>
 Uphold the firm's code of ethics and business conduct.
 </li>
 <li>
 Help contribute to the development of GenAI solutions, including prompt engineering, retrieval-augmented generation (RAG), fine-tuning, AI agents, and multi-agent systems (MAS).
 </li>
 <li>
 Apply econometric modeling techniques such as generalized linear models (GLMs), time series analysis, and semi-parametric models (e.g., fractional response models).
 </li>
 <li>
 Utilize machine learning models including XGBoost, random forests, and support vector machines.
 </li>
 <li>
 During the development, validation, and monitoring of models, ensure compliance with model-related regulatory requirements and standards such as SR 11-7, Colorado SB21-169, NIST, ISO 42001, and the NAIC Model Bulletin.
 </li>
 <li>
 Experience with programming languages and environments such as Python, R, Databricks, and React.
 </li>
 <li>
 Enforce DevOps best practices, including version control (Git), CI/CD, test automation, infrastructure as code, system monitoring, and cross-functional collaboration.
 </li>
 <li>
 Design, develop, and deploy AI models in real-world client and business environments.
 </li>
 <li>
 Monitor and research emerging AI trends, fostering an agile, forward-looking development environment.
 </li>
 <li>
 Support project delivery and work with clients to process structured and unstructured data to improve business processes, workflows, and decision-making.
 </li>
 <li>
 Support the documentation and technical analysis efforts for validators, auditors, and regulators; clearly communicate complex concepts to non-technical stakeholders.
 </li>
 <li>
 Work with cross-functional teams&mdash;data engineers, architects, and data scientists&mdash;to deliver efficient, high-quality solutions aligned with client needs.
 </li>
 <li>
 Support business development efforts, including the technical sales cycles and the client proposal process.
 </li>
 <li>
 Support the development of internal GenAI assets and foundational capabilities to grow the firm&rsquo;s practice.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Minimum Educational Qualifications:
 
 
 
 A degree in statistics, mathematics, electrical engineering, physics, econometrics, computer science, or another related technical field.
 
 
 
 Credentials - Good To Have
 
 
 
 A master's degree or PhD in a related field from a premium institute is preferred but is not required.
 
 
 Min years of Experience Requirement (Credential) - 3-4 years
</div>

Assurance - Risk Modeling Services- AI Data Scientist- Senior Associate

PI Health Sciences Ltd

<div>
 
 
 Job Title: Research Scientist / Senior Research Scientist &ndash; Process R&amp;D
 
 
 
 
 Department:
 
 R&amp;D &ndash; Process Development
 
 
 
 Industry:
 
 CDMO / API
 
 
 
 
 
 
 Purpose of the Role:
 
 
 
 To lead and execute the development, optimization, and scale-up of robust, cost-effective, and regulatory-compliant chemical processes for Active Pharmaceutical Ingredients (APIs) and intermediates, ensuring smooth technology transfer from lab to kilo lab and manufacturing.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 1. Strategic Responsibilities
 
 
 <ul>
 <li>
 Drive innovation by designing synthetic routes that align with project timelines and regulatory requirements.
 </li>
 <li>
 Contribute to technology differentiation strategies that enhance the CDMO&rsquo;s scientific credibility and client value proposition.
 </li>
 <li>
 Collaborate with cross-functional teams (Analytical, QA/QC, and Regulatory) to support integrated drug development solutions.
 </li>
 </ul>
 
 
 2. Operational Responsibilities
 
 
 <ul>
 <li>
 Perform route scouting and literature searches, and develop robust and scalable chemical processes using QbD principles.
 </li>
 <li>
 Conduct laboratory experiments for reaction optimization, impurity profiling, and process safety assessment.
 </li>
 <li>
 Prepare and review technical reports, SOPs, and technology transfer documents.
 </li>
 <li>
 Ensure compliance with GMP/GLP and EHS standards during lab-scale and pilot-scale operations.
 </li>
 <li>
 Participate in troubleshooting during scale-up or commercial production batches and provide technical support during client audits.
 </li>
 </ul>
 
 
 3. Financial Responsibilities
 
 
 <ul>
 <li>
 Optimize process economics by reducing cycle time, yield improvement, and minimizing raw material costs.
 </li>
 <li>
 Support cost estimation activities during project proposals or client RFQs by providing technical insights.
 </li>
 </ul>
 
 
 4. People &amp; Collaboration Responsibilities
 
 
 <ul>
 <li>
 Guide junior team members on experimental planning, data interpretation, and documentation best practices.
 </li>
 <li>
 Promote a culture of safety, learning, and innovation within the team.
 </li>
 <li>
 Work closely with program management and business development to align project goals with customer expectations.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experience
 
 
 <ul>
 <li>
 M.Sc. (Organic Chemistry) / PhD
 </li>
 <li>
 3&ndash;7 years of experience in Process R&amp;D, preferably in CDMO organizations
 </li>
 <li>
 Hands-on expertise in synthesis, scale-up, impurity profiling, and technology transfer
 </li>
 <li>
 Familiarity with analytical techniques (HPLC, GC, NMR) and regulatory documentation
 </li>
 </ul>
 
 
</div>

Research Scientist

Golden Opportunities

<div>
 
 Job Description
 
 
 
 Define, build, and lead a team of Data Scientists and Data analysts Discover areas in operations that can be automated through machine learning Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytical solutions Work closely with internal stakeholders and align them with respect to your focus area Innovate by adapting new modeling techniques and procedures Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports.
 
 
 
 Skills Required
 
 
 
 RoleData Scientist
 
 
 Industry TypeIT/ Computers - Software]
 
 
 Functional AreaIT-Software
 
 
 Required Education
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 DATA SCIENCE
 </li>
 <li>
 MACHINE LEARNING
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1384/2025
 
 
 Recruiter NameRamya V
</div>

Data Scientist - GO/JC/1384/2025

US Pharmacopeia

<div>
 
 Description
 
 
 
 
 Who is USP?
 
 
 
 The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world's top authorities in health and science to develop quality standards for medicines, dietary supplements, and food ingredients. USP's fundamental belief that Equity = Excellence manifests in our core value of Passion for Quality through our more than 1,300 hard-working professionals across twenty global locations to deliver the mission to strengthen the supply of safe, quality medicines and supplements worldwide.
 
 
 At USP, we value inclusivity for all. We recognize the importance of building an organizational culture with meaningful opportunities for mentorship and professional growth. From the standards we create, the partnerships we build, and the conversations we foster, we affirm the value of Diversity, Equity, Inclusion, and Belonging in building a world where everyone can be confident of quality in health and healthcare.
 
 
 USP is proud to be an equal employment opportunity employer (EEOE) and affirmative action employer. We are committed to creating an inclusive environment in all aspects of our work&mdash;an environment where every employee feels fully empowered and valued irrespective of, but not limited to, race, ethnicity, physical and mental abilities, education, religion, gender identity, and expression, life experience, sexual orientation, country of origin, regional differences, work experience, and family status. We are committed to working with and providing reasonable accommodation to individuals with disabilities.
 
 
 
 Brief Job Overview
 
 
 
 The role is engaged in the synthesis and delivery of USP Reference Standard candidate materials and API impurities through design and development of cost-effective synthetic routes. Candidate should carry literature search using scientific databases and work on planning and execution of synthesis of target molecules in mg to multigram/KG scale. Candidate should ensure the completion of assigned tasks as per timelines, prepare project reports, communicate with the team and update on the project progress. Candidate should be adherent to quality management systems (QMS) and lab safety practices.
 
 
 
 How will YOU create impact here at USP?
 
 
 
 In this role at USP, you contribute to USP's public health mission of increasing equitable access to high-quality, safe medicine and improving global health through public standards and related programs. In addition, as part of our commitment to our employees, Global, People, and Culture, in partnership with the Equity Office, regularly invests in the professional development of all people managers. This includes training in inclusive management styles and other competencies necessary to ensure engaged and productive work environments.
 
 
 
 The Scientist III Has The Following Responsibilities
 
 
 
 <ul>
 <li>
 Carry out literature search related to assigned projects using various scientific data bases.
 </li>
 <li>
 Design synthetic routes for the target molecules and prepare project proposals with tentative cost estimates
 </li>
 <li>
 Procure key raw materials and reagents required for the project
 </li>
 <li>
 Perform the reactions in small as well as large scale in the lab for the synthesis of target compounds
 </li>
 <li>
 Purification of compounds through various techniques such as crystallization, column chromatography, and advanced flash purification systems.
 </li>
 <li>
 Troubleshooting synthesis and purification issues
 </li>
 <li>
 Contributing effectively towards more challenging and complex projects through innovative methodologies
 </li>
 <li>
 Ensuring the availability of chemicals and equipment required for the projects and forward the purchase requisitions
 </li>
 <li>
 Interpretation of analytical data of synthesized compounds by IR, NMR, Mass Spectra, Elemental analysis etc.
 </li>
 <li>
 Produce quality materials as per customer requirement
 </li>
 <li>
 Packaging of synthesized compounds
 </li>
 <li>
 Plan, execute and complete the projects as per the timelines
 </li>
 <li>
 Document all experiments conducted as per QMS guidelines.
 </li>
 <li>
 Responsible to ensure the calibrations of the equipment as per the schedule
 </li>
 <li>
 Periodic check of the assigned equipment to ensure its working condition
 </li>
 <li>
 Work on any other assigned tasks/ lab management activities/ organizational initiatives
 </li>
 <li>
 Conversant with lab safety norms and strictly follow them.
 </li>
 <li>
 Communicate within the team and cross functional teams
 </li>
 <li>
 Learn and practice Diversity, Equity, Inclusion &amp; Belonging culture
 
 
 </li>
 </ul>
 
 Who is USP Looking For?
 
 
 
 The Successful Candidate Will Have a Demonstrated Understanding Of Our Mission, Commitment To Excellence Through Inclusive And Equitable Behaviors And Practices, Ability To Quickly Build Credibility With Stakeholders, Along With The Following Competencies And Experience
 
 
 <ul>
 <li>
 Scientist III &ndash; Ph.D. (Full Time) in Synthetic Organic Chemistry from a reputed group with minimum 1-3 years post-doctoral/ industrial experience in API Process R&amp;D/CDMO/CRO
 
 
 </li>
 </ul>
 (Or)
 
 
 <ul>
 <li>
 M Sc (Organic Chemistry) from a reputed university with minimum 6-8 years of industrial experience in API Process R&amp;D/CDMO/CRO
 </li>
 <li>
 Strong background in synthetic organic chemistry, Interpretation of spectral data of compounds based on IR, NMR, HPLC, Mass, Elemental analysis and other analysis.
 </li>
 <li>
 Ability to independently search literature, design, optimize and develop synthetic processes for any given target molecules/APIs.
 </li>
 <li>
 Hands on experience in process development of diverse chemical class of APIs/ NCEs on lab scale and production.
 </li>
 <li>
 Proven ability for adoption of QMS and documentation procedure.
 </li>
 <li>
 Adherence to lab safety guidelines.
 </li>
 <li>
 Excellent troubleshooting skills in synthesis and purification of target compounds.
 </li>
 <li>
 Should possess good verbal and written communication skills.
 </li>
 <li>
 Should possess good organizational, communication, and interpersonal skills.
 
 
 </li>
 </ul>
 
 Additional Desired Preferences
 
 
 
 <ul>
 <li>
 Extensive knowledge on wide range of organic reactions and hands on experience in handling various sensitive chemicals/reagents.
 </li>
 <li>
 Experience in flow chemistry applications in process development
 </li>
 <li>
 Track record of patents/ publications in synthetic organic chemistry/ process development.
 </li>
 <li>
 Should have exposure to GMP/GLP environment and documentation procedures.
 </li>
 <li>
 Good practical, documentation &amp; presentation skills.
 </li>
 <li>
 Attention to detail, stratregic thinking and problem-solving skills.
 </li>
 <li>
 Demonstrated ability to work both independently and as a member of a team with a passion for quality
 
 
 </li>
 </ul>
 
 Supervisory Responsibilities
 
 
 
 No
 
 
 
 Benefits
 
 
 
 USP provides the benefits to protect yourself and your family today and tomorrow. From company-paid time off and comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial well-being is protected.
 
 
 Note: USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP.
 
 
 
 Job Category
 
 Chemistry &amp; Scientific Standards
 
 
 
 Job Type
 
 Full-Time
</div>

Scientist III, Synthetics Laboratory

Explore 140+ Senior data scientist in Hyderabad this October. Find roles across top companies and apply now to boost your career.

140 senior data scientist jobs IN Hyderabad

Data Scientist

Data Scientist

Hyderabad - Data Scientist - Assistant Manager

Assurance - Risk Modeling Services- AI Data Scientist- Senior Associate

Research Scientist

Data Scientist - GO/JC/1384/2025

Scientist III, Synthetics Laboratory