Job Description Preparing and ensuring compliance to the maintenance procedures, Preventive and Predictive maintenance schedules. Condition monitoring of rotating equipment, analysis and advice Assist plant maintenance in troubleshooting critical problems. Supervision of quality checks during overhauling of critical rotating equipment. Assistance/ Association in repair and refurbishment of rotating equipment/components. Perform Failure analysis and Root cause analysis (RCA) of repetitive failures Review and optimize maintenance tasks /frequencies. Applying the leanings from RCA to proactively increase the reliability of other assets. Ensure safe and trouble free start-up of critical rotating machines Provide technical support for critical and insurance spares reviews. Training faculty for in-house programs related to rotary equipment. Provide inputs for planning and scheduling of critical rotating equipment overhauling. Provide assistance for erection and commissioning of new equipment. Skills & Competencies Knowledge on rotating equipment maintenance techniques and types Knowledge of Reliability principles (RCM/FMEA, Statistical tools) Knowledge of industry standards and codes (API, ASME, ISO etc.) Analytical ability Good interpersonal skills Communication skills Decision-making ability Education Required Bachelors or Master Degree in Mechanical Engineering with good consistent academic records Experience Require 7 to 8 years Refinery/Petrochemical/Chemical plant design/maintenance/operations experience is required with at least 3-5 year's experience in Rotating Equipment. Hands on experience in rotating equipment trouble shooting, maintenance and condition monitoring. Experience in Rotating equipment selection, erection and commissioning is preferred.

Position: Production Head / Manager Education: BSc. in chemistry, MSc. in chemistry or B.pharma / M.Pharma Experience: minimum 10 year in API pharmaceutical industries. Salary: 50 to 70 K per month Mo No : +91 90816 99400 / +91 90816 88100 Required Candidate profile Coordinate with regulatory authorities for inspections, licensing, and compliance documentation. Investigate quality incidents, deviations, and complaints, ensuring timely resolutions

Industry:- Pharma / Chemical /ETP Location :-Surat / Vadodara/ Navsari /Bharuch Qualification :-Bsc/M.sc Chemistry Experience :- 2-5 year Post :- Production QA/RA/QC Chemist Salary :20 k to 40 k CTC Male / Female Required Job Time : 9 am to 6 pm Required Candidate profile Perform In-Process Quality Control (IPQC) during tablet MFG. compliance with cGMP,coordinate with QA, QC, and Maintenance. +91 90816 99400 / +91 90816 99600 /+91 90816 99500

B.Sc. or M.sc Chemist / Chemical / MIcro. Location :Surat / Navsari / Bharuch / Ahmedabad/ Vadodara Salary : 15000 to 25000 Living + Travel Free Chemical handling and disposal Analyze retrieved data and prepare reports for laboratory management Required Candidate profile Lab work to develop and improve both new and existing chemical product Mo No : +91 90816 99400 / +91 90816 88100 / 90816 99600

Will implement marketing strategies&campaigns for product promotion to doctors,effective in-clinic presentation to doctors,identifying&promoting right product for right doctors,retail chemist prescription audit,timely reporting&achieve targets Required Candidate profile Preferably D. Pharm, B.Sc having 1-3 year exp. in pharma ethical selling having high energy level, effective communication / presentation / convincing skills and proven track record of achievements

Financial & Strategic Support Governance, Compliance & Legal Coordination Project Management & Process Improvement Stakeholder & Communication Management Strategic & Financial planning Analysis, Budgeting, Capital Management, Cashflow Management Required Candidate profile SAP Hana, Advanced Microsoft Office Suite & familiar with financial software & tools 5+ Yrs experience in Finance domain working on Financial Planning & Analysis preferably in Chemical / Pharma Perks and benefits GTLI/GPA/GMC

Summary: As an Application Lead for Packaged Application Development, you will be responsible for leading the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve utilizing your expertise in SAP for Oil & Gas Downstream to deliver impactful solutions and collaborating with cross-functional teams to ensure successful project delivery. Roles & Responsibilities: - Lead the design, development, and implementation of SAP for Oil & Gas Downstream applications, ensuring adherence to project timelines and budget constraints. - Act as the primary point of contact for the project, collaborating with cross-functional teams to ensure successful project delivery. - Provide technical guidance and mentorship to team members, ensuring adherence to best practices and standards. - Collaborate with business stakeholders to understand their requirements and translate them into technical solutions. - Stay updated with the latest advancements in SAP for Oil & Gas Downstream, integrating innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must To Have Skills: Expertise in SAP for Oil & Gas Downstream. - Good To Have Skills: Experience with SAP S/4HANA, SAP Fiori, and SAP Cloud Platform. - Experience in CPE Pricing. - Good to have experience on 2 S4/HANA projects as consultant or lead. - Experience in designing and deploying scenarios in areas IS-Oil modules. - Experience in SD/Logistics implementations. - Strong understanding of software engineering principles and best practices. - Experience in leading the design, development, and implementation of enterprise-level applications. - Experience in collaborating with cross-functional teams to ensure successful project delivery. - Excellent communication and interpersonal skills.

Role & responsibilities Minimum 4 Year Experience in design of industrial refrigeration plants for oil & gas plants, chemical plants in chilling, Petro-chemicals, compression processes etc. Personality Traits 1. Time Management 2. Interpersonal Skill 3. Active Follow up 4. Presentation & Technological Skill Skills & knowledge 1. Computer SAP, MS office 2. Budgeting & Scheduling 3. Resources Management 4. Cost Analysis 5. Excellent Price Negotiator 6. Analytical Skill

Role & responsibilities: Experience in Commodity Chemicals Domestic or International Marketing experience will work New Product development experience He or She will handle SEA, West Africa & Middle East region Developing product wise business plan for achieving targeted sales & profitability Developing Marketing strategy based on business plan of the company Identifying New markets & New Customers for the targeted products Increasing market share of products Branding of Company & its products, services and device reach out plan Relationship building & retention plan for existing customer Building product, industry & market understanding & knowledge Finding new application for product Timely Sales positions based on market intelligence Increasing share of contractual customers Identifying newer value proposition for customers & devising plan to deliver Quality & timely delivery of product to customer Lead, inquiry and order management

Manager (Analytics & Research) About Argus: Argus is the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets. Headquartered in London with 1,500 staff, Argus is an independent media organisation with 30 offices in the worlds principal commodity trading hubs. Companies, trading firms and governments in 160 countries around the world trust Argus data to make decisions, analyse situations, manage risk, facilitate trading and for long-term planning. Argus prices are used as trusted benchmarks around the world for pricing transportation, commodities and energy. Founded in 1970, Argus remains a privately held UK-registered company owned by employee shareholders and global growth equity firm General Atlantic. What we’re looking for: Argus stands as a trailblazer in the global energy industry, offering unparalleled insights, price indexes, and consulting services trusted by companies across 140 countries and esteemed multilaterals such as the International Energy Agency (IEA). Our data not only fuels physical trade indexing but also serves as benchmarks in financial derivative markets, empowering stakeholders with critical analysis and foresight for strategic planning. In addition to our esteemed reputation in energy, Argus boasts a burgeoning commodities markets consulting and analytics division. Leveraging industry best practices, expert knowledge, and our proprietary data, this division delivers comprehensive market analysis, strategic business insights, evaluation of capital projects, and operational guidance across diverse commodities and geographies. With a client roster that includes global energy giants, leading petrochemical companies, fertilizer producers, clean energy players, metal manufacturers, and governments, we continue to shape the future of commodities trading and strategy. As our Consulting and Analytics Research business experiences unprecedented growth, we are on the lookout for a dynamic Manager (Crude oil and Petroleum products) to join our Analytics Research team in Mumbai. In this role, you will spearhead analysis across a spectrum of commodities in the energy sector, from transition fuels to oil & gas, petrochemicals, biofuels, generation fuels and fertilizers while specializing in Crude oil and petroleum products space. Seize this opportunity to be at the forefront of innovation and insight in the ever-evolving energy landscape. What will you be doing: Innovative Analytics Product Development: Conceptualizing and crafting cutting-edge multi-client products / syndicated reports and analytics, and leading a team of Senior Analysts and Analysts to deliver such reports alongside with providing actionable insights that drive value for our clients. Market Insight: Provide market insights underscored by a strong understanding of global market fundamentals, identifying and analyzing emerging trends that shape the landscape of energy and commodities markets. Tech Savvy Solutions: Spearhead the development and maintenance of bespoke modelling forecasting tools, empowering our projects with robust, data-driven solutions. Contribute to shaping Argus' forward-looking market perspectives across key industries. Compelling Marketing Collateral: Play a pivotal role in crafting compelling marketing materials that showcase the depth and breadth of Argus' analytics and research products, captivating our audience and solidifying our market presence. Dynamic Presentation Skills: Craft engaging presentation materials and, when called upon, captivate audiences with dynamic presentations at public conferences, positioning Argus as a thought leader in the industry. Mentorship and Development: Foster a culture of continuous learning and growth by nurturing and developing Analysts, equipping them with the product knowledge and analytics research skills needed to excel in their roles and contribute to the success of our team. Skills & Experience: Candidates with eight to ten years' of research & consulting experience in relevant industries including downstream oil products. Masters degree in Engineering, Economics or Business Administration preferred. Dynamic Leadership: Showcase your prowess in project management by spearheading teams of analysts through intricate research projects. Collaborative Spirit: Thrive in a culture of teamwork as you harness resources from across the organization to achieve collective goals. Research Excellence: Unleash your talent for innovative research methodologies, driving insightful market analyses with precision and finesse. Analytics Excellence: Ability to demonstrate proficiency in Microsoft Excel, PowerPoint, Word and adeptness in economic & statistical forecasting methods will shine. Holistic Insight : Immerse yourself in the intricate web of energy commodities, gaining a comprehensive understanding of their interplay within the broader energy market landscape. Skill Enrichment : Cultivate a deep reservoir of expertise in research, analysis, and project management, honing your abilities to navigate complex challenges with finesse. Industry Eminence : Elevate your profile both internally and externally, establishing yourself as the go-to authority in key industries, carving out a niche as a trusted advisor and thought leader. Career Trajectory : Chart a fulfilling career path within Argus' esteemed consulting practice, where your talents are nurtured and your ambitions are empowered to flourish. Aside from the quantifiable skills, such as developing models, knowledge of analytical tools and databases, the candidate would be able interact with Argus’ consultants and product or industry specialists in its Singapore, London, and US office. This would help the candidate get first-hand experience of working in a multicultural workplace and appreciate how our global consulting and analytics practices operate. What’s in it for you: Competitive Compensation: Enjoy a rewarding salary package coupled with an enticing company bonus scheme, acknowledging your contributions and incentivizing your continued excellence. Flexibility Redefined: Embrace a hybrid working model that seamlessly blends the best of both worlds—three days in the vibrant office environment and two days of productive work from home, fostering work-life balance and maximizing productivity. Wellness Assurance: Prioritize your health and well-being with comprehensive group healthcare coverage, ensuring peace of mind for you and your loved ones. Time to Recharge: Rejuvenate and recharge with generous annual leave entitlement of 18 days, including additional 8 days of casual leave to unwind and pursue personal interests. Continuous Growth: Embark on a journey of continuous learning and development with extensive internal and external training opportunities, empowering you to stay at the forefront of industry trends and sharpen your skills. Hours: This is a full-time position operating under a hybrid model, with three days in the office and two days working remotely. Office hours are Monday through Friday from 09:00 to 18:00, with a one-hour lunch break. For more details about the company and to apply please make sure you send your CV and cover letter via our website: www.argusmedia.com/en/careers/open-positions By submitting your job application, you automatically acknowledge and consent to the collection, use and/or disclosure of your personal data to the Company. Argus is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity, disability or veteran status.

Chemical sales 3-4 years experience in sales (chemical industry) Experience in Poly Urethane Preferably male BSC Chemistry or Chem Engg for immediate joining. Salary- Best in industry- negotiable Required Candidate profile Chemical sales 3-4 years experience in sales (chemical industry) Experience in Poly Urethane Preferably male BSC Chemistry or Chem Engg for immediate joining. Salary- Best in industry- negotiable

Qualification: BSC / MSC Chemistry Experience: Fresher to 2 Years CTC: Up to 4 LPA (For BSC Fresher - 14000 & MSC Fresher - 18000) Send CV on sdpbharuch@gmail.com with Subject: QA & QC Dahej & Call / WhatsApp on 7600033423 Required Candidate profile Interview Venue: SDP HR Solution, 610, Golden Square, Beside DMART, Near ABC Circle, Bholav, Bharuch - 392001 No Charges, Free Interview Share with Your Friends & Colleagues!!

The Store Keeper is responsible for maintaining accurate inventory records, overseeing the receipt and storage of goods, and ensuring that materials are available when needed Receive and inspect incoming goods and ensure that they conform to the purchase order or other specifications Maintain accurate inventory records, including tracking stock levels, documenting stock movements, and conducting regular physical inventory counts Maintain a clean and organized warehouse or storeroom, ensuring that all materials are stored in a safe and accessible manner

The Store Keeper is responsible for maintaining accurate inventory records, overseeing the receipt and storage of goods, and ensuring that materials are available when needed Receive and inspect incoming goods and ensure that they conform to the purchase order or other specifications Maintain accurate inventory records, including tracking stock levels, documenting stock movements, and conducting regular physical inventory counts Maintain a clean and organized warehouse or storeroom, ensuring that all materials are stored in a safe and accessible manner

The Store Keeper is responsible for maintaining accurate inventory records, overseeing the receipt and storage of goods, and ensuring that materials are available when needed Receive and inspect incoming goods and ensure that they conform to the purchase order or other specifications Maintain accurate inventory records, including tracking stock levels, documenting stock movements, and conducting regular physical inventory counts Maintain a clean and organized warehouse or storeroom, ensuring that all materials are stored in a safe and accessible manner

The Store Keeper is responsible for maintaining accurate inventory records, overseeing the receipt and storage of goods, and ensuring that materials are available when needed Receive and inspect incoming goods and ensure that they conform to the purchase order or other specifications Maintain accurate inventory records, including tracking stock levels, documenting stock movements, and conducting regular physical inventory counts Maintain a clean and organized warehouse or storeroom, ensuring that all materials are stored in a safe and accessible manner

The Store Keeper is responsible for maintaining accurate inventory records, overseeing the receipt and storage of goods, and ensuring that materials are available when needed Receive and inspect incoming goods and ensure that they conform to the purchase order or other specifications Maintain accurate inventory records, including tracking stock levels, documenting stock movements, and conducting regular physical inventory counts Maintain a clean and organized warehouse or storeroom, ensuring that all materials are stored in a safe and accessible manner

Brief Description of Duties: Supervising the production activities and ensuring that all activities are carried out as per laid down Procedures Monitor and analyse chemical processes Overseas workers responsible for chemical processes Man power planning Develop safety protocols and policies Ensure compliance with all safety regulations Train workers on safety protocols Production of products as per quality and quantity Maintain accurate records of chemical products and processes Assisting the Production Manager in all activities Skill Sets Required: Chemical knowledge Safety awareness Good Team player skills Good communication skills Educational Requirement: Graduate or Post Graduate in Chemistry or Related field. Experience: 3 years to 5 Years of relevant industry experience preferred.

Job Title - Data Science Consultant S&C GN Management Level : Consultant Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary :We are seeking a highly skilled and motivated Data Science Consultant to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:4+ years in data science Education:Bachelors / master's degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. Qualifications Experience: 4-8 years in data science Educational Qualification: Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field.

Job Title - Data Science Analyst S&C GN Management Level : Analyst Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary :We are seeking a highly skilled and motivated Data Science Analyst to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:1-5 years in data science Education:Bachelors / master's degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. About Our Company | Accenture Qualifications Experience: 1-5 years in data science Educational Qualification: Bachelors / master’s degree in computer science, statistics, applied mathematics, or a related field.

Job Title - Data Science Consultant S&C GN Management Level : Consultant Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary :We are seeking a highly skilled and motivated Data Science Consultant to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:4+ years in data science Education:Bachelors / master's degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. About Our Company | Accenture Qualifications Experience: 4-8 years in data science Educational Qualification: Bachelors / master’s degree in computer science, statistics, applied mathematics, or a related field.

Job Title - Data Science Consultant S&C GN Management Level : Consultant Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary :We are seeking a highly skilled and motivated Data Science Consultant to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:4+ years in data science Education:Bachelors / master's degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. About Our Company | Accenture Qualifications Experience: 4-8 years in data science Educational Qualification: Bachelors / master’s degree in computer science, statistics, applied mathematics, or a related field.

Job Title - Data Science Consultant S&C GN Management Level : Consultant Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary :We are seeking a highly skilled and motivated Data Science Consultant to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:4+ years in data science Education:Bachelors / master's degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. Qualifications Experience: 4-8 years in data science Educational Qualification: Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field.

Job Title - Data Science Consultant S&C GN Management Level : Consultant Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary :We are seeking a highly skilled and motivated Data Science Consultant to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:4+ years in data science Education:Bachelors / master's degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. Qualifications Experience: 4-8 years in data science Educational Qualification: Bachelors / masters degree in computer science, statistics, applied mathematics, or a related field.

Well versed in operating Spectrophotometer & interpret the results from our portal Knowledge of Quality Standards Additionally, experience in 5S, Six Sigma, Lean Management, QMS, & chemical management Required Candidate profile Chemical Engineering background or Special Chemistry degree, along with exp in quality management systems. Kindly reach us @ Hema - 7305057834 adducoindia@gmail.com