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analytical chemist

Larsen & Toubro

<div>
 
 
 Job Title:
 
 Analytical Chemist &ndash; CWA Detection Systems
 
 
 
 Department:
 
 Research &amp; Development (R&amp;D)
 
 
 
 Location:
 
 Bangalore
 
 
 
 Job Type:
 
 Full-Time
 
 
 
 Job Summary:
 
 
 
 
 We are seeking a highly skilled and motivated Analytical Chemist to join our R&amp;D team focused on the development of advanced Chemical Warfare Agent (CWA) detection systems. The ideal candidate will play a key role in designing, testing, and qualifying chemical sensors and detection technologies for military and homeland security applications.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Research &amp; Development:
 </li>
 <ul>
 <li>
 Develop and optimize chemical detection methods for CWAs using techniques such as IMS, GC-MS, FTIR, Raman, and colorimetric analysis.
 </li>
 <li>
 Collaborate with multidisciplinary teams to design sensor systems and integrate chemical detection technologies into field-deployable devices.
 </li>
 </ul>
 <li>
 Design &amp; Prototyping:
 </li>
 <ul>
 <li>
 Contribute to the conceptualization and design of chemical sensor components.
 </li>
 <li>
 Select and evaluate materials for sensor interfaces and chemical reactivity.
 </li>
 </ul>
 <li>
 Testing &amp; Validation:
 </li>
 <ul>
 <li>
 Conduct laboratory and field testing of prototypes under simulated and real-world conditions.
 </li>
 <li>
 Analyze performance data and refine detection algorithms and calibration protocols.
 </li>
 </ul>
 <li>
 Qualification &amp; Compliance:
 </li>
 <ul>
 <li>
 Ensure systems meet military and international standards for CWA detection.
 </li>
 <li>
 Prepare technical documentation, validation reports, and support regulatory submissions.
 </li>
 </ul>
 <li>
 Collaboration &amp; Reporting:
 </li>
 <ul>
 <li>
 Work closely with engineers, toxicologists, and defense specialists.
 </li>
 <li>
 Present findings to internal stakeholders and external partners.
 </li>
 </ul>
 </ul>
 
 
 Qualifications:
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s or Ph.D. in Analytical Chemistry, Physical Chemistry, or related field.
 </li>
 <li>
 3+ years of experience in chemical sensor development or CBRN-related technologies.
 </li>
 <li>
 Proficiency in analytical instrumentation and data interpretation.
 </li>
 <li>
 Familiarity with chemical warfare agents and safety protocols.
 </li>
 <li>
 Strong problem-solving and project management skills.
 </li>
 <li>
 Excellent communication and technical writing abilities
 </li>
 </ul>
</div>

Analytical Chemist

propelld

<div>
 
 
 Job Title:
 
 Business Analyst
 
 
 
 Location:
 
 Bangalore
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are seeking a high-impact Business Analyst who goes beyond reporting to actively drive business outcomes within the Collection Strategy function. This role will partner closely with senior leadership and cross-functional teams to leverage data for improving performance, optimizing strategy, and enabling informed decision-making. The ideal candidate combines strong analytical rigor with sharp business acumen and a demonstrated ability to translate insights into measurable strategic and operational impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Partner with business leaders and key stakeholders to understand business objectives and translate them into data-driven strategies that directly influence decision-making and outcomes.
 </li>
 <li>
 Take ownership of designing, developing, and governing key business metrics, MIS reports, dashboards, and analytical frameworks that support strategic business decisions.
 </li>
 <li>
 Lead proactive deep-dive analyses to identify trends, risks, opportunities, and performance gaps, providing actionable insights to senior leadership for driving business performance.
 </li>
 <li>
 Recommend new metrics, data-driven strategies, and analytical techniques to enhance operational performance, improve quality, and boost productivity across the business.
 </li>
 <li>
 Analyze performance across in-house and third-party channels, focusing on key efficiency and effectiveness metrics to optimize business outcomes.
 </li>
 <li>
 Develop early-warning indicators and performance monitoring mechanisms that provide actionable insights for timely corrective actions, driving continuous improvement.
 </li>
 <li>
 Prepare high-quality analytical reports and presentations that clearly communicate data-driven insights to senior management, business reviews, and Board-level discussions, influencing key business decisions.
 </li>
 <li>
 Collaborate cross-functionally with Collections, Risk, Credit, Technology, Product, Operations, and Business teams to implement data-driven initiatives that directly improve business operations and outcomes.
 </li>
 <li>
 Design and deploy interactive dashboards to track employee productivity and monitor key operational KPIs that align with business goals.
 </li>
 <li>
 Use advanced Excel, SQL, and PowerPoint to support data analysis, reporting, and executive communication, ensuring that insights directly contribute to strategic decision-making.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications &amp; Skills:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/ Master&rsquo;s degree in Business, Finance, Economics, Engineering, or a related field, advanced degree or relevant certifications preferred.
 </li>
 <li>
 2&ndash;5 years of experience in a Business Analyst, business facing role powered by data analytics
 
 in start-ups.
 
 </li>
 <li>
 Strong analytical and problem-solving skills paired with taking responsibility for business decisions.
 </li>
 <li>
 Has taken business responsibility and has contributed to strategy based on data which should have led to actionable outcomes.
 </li>
 <li>
 Advanced proficiency in Excel (pivot tables, advanced formulas, macros), SQL, and PowerPoint; experience with data visualization tools is a plus (
 
 we are not looking for purely data/analytics profiles, but rather candidates who have leveraged data for owning business outcomes).
 
 </li>
 <li>
 Excellent communication and stakeholder management skills, with the ability to influence decisions at senior levels.
 </li>
 <li>
 Proven ability to work effectively in a fast-paced, cross-functional environment and manage multiple priorities.
 </li>
 </ul>
 
 
 
 
 
 Why Join us?
 
 
 <ul>
 <li>
 Opportunity to work closely with senior leadership and leverage data to drive and influence strategic and operational decisions.
 </li>
 <li>
 Exposure to tackling complex business challenges and leading high-impact initiatives that use data to directly impact business outcomes in a dynamic, growth-oriented environment.
 </li>
 <li>
 A role where your ability to apply data-driven insights will shape and drive business performance and results.
 </li>
 </ul>
 
 
</div>

Business Analyst

Crescendo Global

<div>
 
 
 Senior Data Scientist &ndash; Machine Learning (Traditional Models)
 
 
 
 Experience - 6 to 10 years
 
 
 Location -
 
 Bangalore/Noida/Gurugram/Pune
 
 
 
 
 
 
 
 Fraud Analytics (LTC Claims)
 
 
 
 
 Role Summary
 
 
 
 We are seeking a
 
 Senior Data Scientist (6&ndash;10 years of experience)
 
 to support a
 
 fraud analytics initiative focused on Long‑Term Care (LTC) insurance claims
 
 . This is a
 
 client‑facing role
 
 requiring strong analytical expertise, hands‑on modeling experience, and the ability to independently drive analysis, present insights, and collaborate with stakeholders.
 
 
 The ideal candidate will have a solid foundation in
 
 statistical modeling and hypothesis testing
 
 , combined with deep rooted experience in
 
 tree‑based and ensemble machine learning models
 
 , and cloud‑based data platforms.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and deploy
 
 fraud detection models
 
 for LTC insurance claims using statistical and machine learning techniques
 </li>
 <li>
 Perform
 
 exploratory data analysis (EDA)
 
 , feature engineering, and hypothesis testing to identify fraud patterns and anomalies
 </li>
 <li>
 Build, evaluate, and optimize
 
 traditional statistical models
 
 as well as
 
 tree‑based models
 
 such as Random Forest, XGBoost, CatBoost, LightGBM etc.
 </li>
 <li>
 Independently conduct
 
 data analysis, research, and model experimentation
 
 , and translate findings into actionable insights
 </li>
 <li>
 Write clean, efficient, and production‑ready code using
 
 Python and SQL
 
 </li>
 <li>
 Work extensively with
 
 large datasets
 
 using cloud platforms, primarily
 
 Google Cloud Platform (GCP)
 
 </li>
 <li>
 Query and manage data using
 
 BigQuery
 
 , and handle datasets stored in
 
 Cloud Storage (Buckets)
 
 </li>
 <li>
 Use
 
 Git
 
 for version control, collaboration, and code review
 </li>
 <li>
 Prepare clear, concise, and impactful
 
 presentations for clients
 
 , explaining analytical findings to both technical and non‑technical stakeholders
 </li>
 <li>
 Collaborate with business, data engineering, and client teams to ensure models align with fraud investigation and business objectives
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 
 6&ndash;7 years of hands‑on experience
 
 in data science, analytics, or applied machine learning
 </li>
 <li>
 Strong understanding of statistical modeling, probability concepts and hypothesis testing
 </li>
 <li>
 Proven experience with
 
 tree‑based and ensemble machine learning models
 
 (RF, XGBoost, CatBoost, LightGBM)
 </li>
 <li>
 
 Expert‑level SQL
 
 for data extraction, transformation, and analysis
 </li>
 <li>
 
 Strong Python skills
 
 for data analysis and modeling
 </li>
 <li>
 Experience using
 
 Git
 
 for source code management
 </li>
 <li>
 Solid exposure to
 
 cloud‑based analytics environments
 
 , preferably Google Cloud Platform (GCP), BigQuery and Cloud Storage
 </li>
 <li>
 Ability to
 
 work independently
 
 , manage deliverables, and drive tasks end‑to‑end
 </li>
 <li>
 Excellent
 
 verbal and written communication skills
 
 , essential for a client‑facing role
 </li>
 </ul>
 
 
 
 
 
 Candidate Profile
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master's degree in economics, statistics, mathematics, computer science/engineering, operations research or related analytics areas
 </li>
 <li>
 Strong
 
 data analysis experience
 
 with complex, real‑world datasets
 </li>
 <li>
 Superior
 
 analytical thinking and problem‑solving skills
 
 </li>
 <li>
 Outstanding
 
 written and verbal communication skills
 
 , with confidence in client interactions
 </li>
 </ul>
 
 
</div>

Data Scientist (Machine learning - XG boost) (Multiple locations)

Black Box

<div>
 
 Location : Bangalore
 
 
 Shift : 6PM - 3AM
 
 
 Work Model : Work from Office (Mon-Fri)
 
 
 
 
 Main Role
 
 
 :
 
 Strategic sourcing
 
 of goods &amp; services by leveraging supplier&rsquo;s capabilities &amp; innovations, challenging costs , capturing market opportunities and reducing suppliers related risks
 
 
 
 
 
 
 
 Please apply only if you are comfortable with the Shift timing and Work Model .
 
 
 
 
 
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 <ul>
 <li>
 Conduct market scanning and analysis and assess industry trends to identify opportunities for cost savings and process improvements
 </li>
 <li>
 Monitor supplier performance, ensuring compliance with contractual agreements
 </li>
 <li>
 Establish and maintain strong relationships with key suppliers
 </li>
 <li>
 Creation of category strategy, Project procurement plan, supplier score cards
 </li>
 <li>
 Work closely with internal stakeholders, such as sales, presales, GSO,OM, finance, and legal departments, to understand their needs and requirements.
 </li>
 <li>
 Collaborate with cross-functional teams to ensure alignment between procurement activities and organizational goals
 </li>
 <li>
 Utilize Six Sigma and Lean methodologies to design and optimize end-to-end procurement processes. Document detailed standard operating procedures (SOPs) for each phase of procurement, ensuring clarity and consistency
 </li>
 <li>
 Create detailed reports and interactive dashboards to effectively communicate insights
 </li>
 <li>
 Translate analytical findings into clear, actionable recommendations to inform decision-making.
 </li>
 <li>
 Partner with cross-functional teams to provide data-driven support for strategic initiatives.
 </li>
 <li>
 Utilize visualization tools such as Tableau, Power BI, or QlikView to present data in a clear and engaging manner.
 </li>
 <li>
 Apply analytical tools like Excel, SQL, Python, or R to conduct advanced data analysis (preferred but not mandatory).
 </li>
 </ul>
 
 
</div>

Strategic Procurement Manager

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
 As a Business Analyst, you will leverage your strong understanding and working experience with the SDLC to drive business outcomes. You will excel in requirement gathering, analysis, and documentation, utilizing your exceptional communication and analytical skills to articulate complex ideas clearly and persuasively. Your primary responsibilities will include:
 
 
 <ul>
 <li>
 Gather and Analyze Requirements: Facilitate requirement workshops to gather and document business requirements, utilizing strong impact analysis and gap analysis abilities to ensure effective stakeholder management.
 </li>
 <li>
 Map Processes and Use Cases: Develop process and use case maps to analyze business cases and guide technical and vendor teams in delivering solutions that meet business needs.
 </li>
 <li>
 Communicate with Stakeholders: Liaise between lines of business and the development team, articulating complex ideas clearly and persuasively to ensure seamless collaboration and solution delivery.
 </li>
 <li>
 Manage Stakeholder Expectations: Effectively manage stakeholders and users throughout the project lifecycle, ensuring their needs are met and expectations are exceeded.
 </li>
 <li>
 Guide Technical Teams: Analyze business cases and provide guidance to technical teams to ensure solutions meet business requirements and are delivered on time.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 SDLC Understanding and Experience: Exposure to the Software Development Life Cycle (SDLC) with a strong understanding of its application in driving business outcomes.
 </li>
 <li>
 Requirement Gathering and Analysis: Experience working with requirement gathering, analysis, and documentation, with the ability to utilize impact analysis and gap analysis abilities.
 </li>
 <li>
 Process and Use Case Mapping: Exposure to process and use case mapping, with the ability to develop maps that analyze business cases and guide technical and vendor teams.
 </li>
 <li>
 Stakeholder Management: Experience working with stakeholders and users, with the ability to effectively manage their expectations throughout the project lifecycle.
 </li>
 <li>
 Technical Team Guidance: Exposure to guiding technical teams, with the ability to analyze business cases and provide guidance to ensure solutions meet business requirements.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Strong Analytical Skills: Exposure to analyzing complex business cases and developing process maps to guide technical teams. Ability to break down intricate problems into manageable parts and identify creative solutions. Effective analytical skills enable successful business outcomes.
 </li>
 <li>
 Excellent Communication: Experience working with stakeholders to articulate complex ideas clearly and persuasively. Ability to communicate technical information to non-technical stakeholders and facilitate seamless collaboration between lines of business and development teams.
 </li>
 <li>
 Business Case Analysis: Exposure to analyzing business cases and providing guidance to technical teams to ensure solutions meet business requirements. Ability to identify business needs and develop solutions that drive business outcomes.
 </li>
 </ul>
</div>

Business Analyst-ADM

Infinite Computer Solutions

<div>
 
 Job Description
 
 
 
 <ul>
 <li>
 3+ years of hands-on experience in data analysis or BI reporting roles.
 </li>
 <li>
 Strong SQL skills for data wrangling, transformation, and analytics (BigQuery, SQL Server, or similar).
 </li>
 <li>
 Power BI &ndash; Proven expertise in report development, DAX, modeling, and storytelling. Looker exp is a bonus.
 </li>
 <li>
 Excellent analytical thinking and ability to draw actionable insights from complex datasets.
 </li>
 <li>
 Strong communication skills &ndash; both written and visual &ndash; to engage stakeholders.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Degree
 
 
 
 Range Of Year Experience-Min Year
 
 
 
 3
 
 
 
 Range Of Year Experience-Max Year
 
 
 
 9
</div>

Software Engineer

<div>
 
 Company Description
 
 
 
 
 WNS (Holdings) Limited (NYSE: WNS),
 
 is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.
 
 
 We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. Our global footprint spans 16 countries with 61 delivery centers worldwide including in China, Costa Rica, India, the Philippines, Poland, Romania, South Africa, Spain, Sri Lanka, Turkey, United Kingdom and the United States.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Populate databases (e.g., drug information, company deals, pricing, launch dates, global market access statistics) with information provided from various sources including secondary data from information resources or research teams or data procured by the research services analyst team
 </li>
 <li>
 Extract data as needed for delivery to analyst teams
 </li>
 <li>
 Creation and population of PowerPoint and Excel templates (including leveraging technology such as e-tabs to produce), tables, figures, and graphics, in support of building final client deliverables
 </li>
 <li>
 Interpreting data and bulleted text provided by Analysts and other staff and translating them into carefully crafted presentations and other professional deliverables.
 </li>
 <li>
 Process primary market research data, including conducting cross-tabulations, statistical analysis (e.g., t-test, z-test, ANOVA, Chi-square) and frequency table (e.g., frequencies, counts, percentages, mean, median, standard deviations) generation
 </li>
 <li>
 Data validation and preparation &ndash; perform quality checks and cleaning of raw primary market research data
 </li>
 <li>
 Performing edits on reports, slide decks, consulting projects, and other company publications to ensure professionalism and quality and adherence to house style
 </li>
 <li>
 Identifying discrepancies and spotting holes in logic between text and data tables
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Undergraduate degree (e.g. Bachelor&rsquo;s degree) with a proven record of academic success is required
 </li>
 <li>
 Business or Commerce degree is a plus
 </li>
 <li>
 Advanced degree (MA, MBA, MS in life sciences, social sciences, or statistics) and/or relevant experience in the biopharma, healthcare, or market research sector a plus
 </li>
 <li>
 Excellent attention to detail and an instinct for recognizing patterns, creating categories, and organizing ideas
 </li>
 <li>
 Strong analytical skill set, including proficiency with SPSS analytical software is required
 </li>
 <li>
 Proficient in English grammar and spelling
 </li>
 <li>
 Ability to communicate clearly, concisely, and objectively in written and spoken English
 </li>
 <li>
 Proficiency in software including E-tabs, SQL, and Tableau is a plus
 </li>
 <li>
 A flexible and collaborative approach to work
 </li>
 <li>
 Proven teamwork skills and a willingness to work with others both in person and remotely
 </li>
 <li>
 Capable of working independently and making informed decisions
 </li>
 <li>
 Willingness to question assumptions, theories, and facts
 </li>
 <li>
 Ability to recognize what is missing in content, argument, or presentation
 </li>
 <li>
 Strong critical thinking and analytical skills (must be capable of working with and analyzing data)
 </li>
 <li>
 Strong time management skills and the ability to work well under pressure and meet tight deadlines
 </li>
 <li>
 Strong initiative and highly self-motivated
 </li>
 <li>
 Ability to provide new ideas and adapt to process improvements and/or new technological tools
 </li>
 <li>
 Strong Proficiency in Microsoft Word, Excel, and PowerPoint, plus other technologies and software as required
 </li>
 <li>
 Knowledge of pharmaceutical and/or medical device industries an asset but not required
 </li>
 <li>
 Experience in analyzing, interpreting, and data visualizing complex datasets
 </li>
 <li>
 Ability to prioritize effectively and adopt a systematic approach to tasks
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 Ability to work on multiple requests in a fast-paced environment Excellent written and verbal communication skills, Rotational shift
 
 
 2 years SLA
 
 
 Excellent comm. Skill
</div>

Sr. Analyst - Market Research (PMR Analyst) (R&A)

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