1811 Data Mining Jobs - Page 15

You should have 3-5 years of experience as a Data Analyst and possess expertise in data-driven problem solving. Your skills should include proficiency in Data Modelling, Data Mining, and Data Segmentation Methods. You must excel in analytical thinking, business modelling, and problem-solving. Advanced Microsoft Excel skills are a must, along with experience working with MS SQL. Knowledge of R Programming is essential, as well as experience with XML, ETL frameworks, and JavaScript. You should be adept at creating queries and reports and having experience with QlikView/Tableau will be advantageous. A good understanding of Microsoft Office and excellent communication skills, both verbal and written, are required. As a Data Analyst, your responsibilities will include applying Data Modelling, Data Mining, and Data Segmentation techniques to the available data. You will be expected to identify and analyze trends or patterns in complex data sets using statistical methods and interpret the data based on the analyzed trends and patterns. Collaboration with management to prioritize business requirements and identifying improvement opportunities in business processes will also be part of your role. This is a Full-Time position located in Vadodara. The educational requirements for this role include a BE (IT), BE (CS), MCA, MSC (IT), BSC in Statistics, or MSC in Statistics. Salary details will be discussed in person. Please send your resume to info@99plusitsolutions.com or 99plusit@gmail.com for consideration.,

You should have a minimum of 3 years of experience in a similar role. You must be proficient in Java and Python programming languages. A strong understanding and working experience in Solidatus is required. Additionally, you should have a solid understanding of XML and JSON data formats. Knowledge of relational SQL and NoSQL databases such as Oracle, MSSQL, and Snowflake is essential. Preferred qualifications include exposure to NLP and LLM technologies and approaches, experience with machine learning and data mining techniques, familiarity with data security and privacy concerns, knowledge of data warehousing and business intelligence concepts, and an advanced degree in Computer Science, Engineering, or a related field. The ideal candidate will have a Bachelor's degree in Computer Science, Engineering, or a related field.,

As a member of our team, you will be responsible for managing organizational strategy and operations through the design and statistical analysis of business initiatives and experiments. Your role will involve collaborating with business partners to understand and address their needs and issues effectively. Utilizing advanced knowledge of statistics and data mining techniques, such as predictive modeling and simulation, you will identify patterns and insights from business data. Additionally, you will be tasked with designing, developing, and evaluating statistical and predictive models to drive business solutions. In this position, you will act as the lead statistician for the unit, providing expertise, oversight, and guidance on statistical analysis efforts. Communication of findings and recommendations to management across various departments will be a crucial aspect of your role. Furthermore, you will support implementation efforts and lead and mentor the team working in the Data Competency Centre. To excel in this role, you should possess a Bachelor's degree in data science, computer science, electrical engineering, applied statistics, or physics with 8-10 years of relevant work experience in Data Science, Artificial Intelligence, or Machine Learning algorithm development. Alternatively, a Master's degree with 5+ years of relevant work experience or a PhD with 4+ years of relevant work experience in the aforementioned fields will also be considered. A working knowledge of budgets and financial statements is required. Key skills and competencies for this position include demonstrated experience in managing teams, coaching team members to drive results, proficiency in programming languages and statistical software tools (such as Python, SAS, R, JMP), relational databases (SQL server), and data analysis and visualization software (preferably PowerBI, SAS). You should also have experience with standard data science and machine learning packages, as well as machine learning model tradeoffs and computer vision models. Strong communication skills are essential to effectively collaborate with various business partners and communicate complex data relationships and statistical model results. Your essential responsibilities will involve statistical analysis and model development in collaboration with business partners, internal teams, and Enterprise Data Management. You will explore data using statistical techniques to answer business questions, build hypotheses, and identify research data attributes. Additionally, you will lead the development of experimental designs for business initiatives, apply advanced statistical techniques, build predictive models, and deploy computer vision models to meet business needs. Providing guidance and direction related to statistical analysis, as well as effectively communicating and delivering statistical and predictive model results to business partners, are critical aspects of this role. You will report to the Head of Automation Digital Transformation USA and will have direct reports. Some travel may be required for this position. This is a full-time role based in Plot No.A-1/1 SIPCOT Industrial Park, Sriperumbudur, Tamil Nadu, 602105, IN. If you believe you meet the qualifications and can excel in fulfilling the responsibilities outlined for this role, we encourage you to apply. All candidates receiving an offer of employment must successfully complete a background check and any other required tests. Job Identification: 1021960 Job Category: NPI-HSRT Integration Data Science Posting Date: 07/17/2025, 12:17 AM Job Schedule: Full time Work Schedule: Normal Shift New (PMT),

As an Analytics Consultant at our Edapally, Kochi office, you will have the exciting opportunity to utilize your passion for data to solve business challenges for our esteemed clientele, including Fortune 500 companies spanning various regions. Your unique combination of Math, Business, Technology, and Creativity skills will enable you to deliver cutting-edge solutions that drive impactful results. You will be responsible for managing the end-to-end delivery of complex analytics projects within specified timelines, in alignment with TurnB's delivery standards. Your expertise will be instrumental in implementing descriptive, prescriptive, and predictive analytics, and effectively communicating insights to internal and external stakeholders. Additionally, you will play a key role in designing and automating enterprise-scale dashboards, reports, and scorecards to provide invaluable business insights across the organization. As a subject matter expert, you will guide the team in selecting appropriate analytical methodologies to address critical business issues. Collaborating with cross-functional client teams, you will offer strategic recommendations based on data analysis and trends, and support the implementation of mitigation strategies. Your ability to create impactful presentations and deliver insights to key stakeholders will be crucial in driving informed decision-making. Moreover, you will leverage your expertise in developing statistical models and algorithms to meet business requirements for planning and forecasting. Your strong analytical skills, problem-solving acumen, and strategic thinking will be essential in delivering exceptional business value and exceeding service delivery KPIs. To excel in this role, you should have at least 2 years of experience as an Analyst, a Master's in Business Administration, and a Bachelor's in Engineering. A consistent academic track record with over 60% aggregate marks or CGPA 6.0 is required. Proficiency in Microsoft Office tools, advanced SQL queries, data modeling, data mining, and statistical programming languages such as Python or R is preferred. Excellent verbal and written communication skills in English are essential for effective collaboration and presentation of insights. If you are a detail-oriented, organized professional with a passion for data analytics and a drive to deliver exceptional results, we invite you to join our dynamic team as an Analytics Consultant.,

The Economic Analyst, North America (NAM) position at Mastercard Economics Institute (MEI) involves engaging in data analytics and economic research for the U.S. and Canada. Reporting to the VP, Lead Economist for North America at MEI, you will be responsible for supporting client and stakeholder engagements, collaborating with external clients and partners, and generating initial insights to create impactful storylines and visuals. You will also be involved in synthesizing analyses into clear recommendations, writing reports and client presentations, enhancing existing products, and proactively seeking new knowledge to improve productivity. The role requires a Bachelor's degree in Economics, Statistics, or Mathematics, with experience in statistical modeling, quantitative analysis, and R development, focusing on economic research. Proficiency in SQL and Hadoop is essential, along with expertise in R, Python, or other statistical packages. Experience with Tableau is preferred, and knowledge of JavaScript for data visualization is a plus. Familiarity with econometric and statistical techniques such as predictive modeling, regression analysis, time series modeling, and data mining methods is necessary. A willingness to learn additional statistical applications and software is expected. Candidates with prior experience in the financial services industry will be given preference. Strong communication and writing skills are essential for this role, along with the ability to actively participate in thought leadership activities and contribute to the continuous improvement of quality and productivity within the organization.,

As a Senior Data Scientist in the Global Data Science & Advanced Analytics team at Colgate-Palmolive, your role will involve leading projects within the Analytics Continuum. You will be responsible for conceptualizing and developing machine learning, predictive modeling, simulations, and optimization solutions to address business questions with clear dollar objectives. Your work will have a significant impact on revenue growth management, price elasticity, promotion analytics, and marketing mix modeling. Your responsibilities will include: - Conceptualizing and building predictive modeling solutions to address business use cases - Applying machine learning and AI algorithms to develop scalable solutions for business deployment - Developing end-to-end business solutions from data extraction to statistical modeling - Conducting model validations and continuous improvement of algorithms - Deploying models using Airflow and Docker on Google Cloud Platforms - Leading pricing, promotion, and marketing mix initiatives from scoping to delivery - Studying large datasets to discover trends and patterns - Presenting insights in a clear and interpretable manner to business teams - Developing visualizations using frameworks like Looker, PyDash, Flask, PlotLy, and streamlit - Collaborating closely with business partners across different geographies To qualify for this position, you should have: - A degree in Computer Science, Information Technology, Business Analytics, Data Science, Economics, or Statistics - 5+ years of experience in building statistical models and deriving insights - Proficiency in Python and SQL for coding and statistical modeling - Hands-on experience with statistical models such as linear regression, random forest, SVM, logistic regression, clustering, and Bayesian regression - Knowledge of GitHub, Airflow, and visualization frameworks - Understanding of Google Cloud and related services like Kubernetes and Cloud Build Preferred qualifications include experience with revenue growth management, pricing, marketing mix models, and third-party data. Knowledge of machine learning techniques and Google Cloud products will be advantageous for this role. Colgate-Palmolive is committed to fostering an inclusive environment where diversity is valued, and every individual is treated with respect. As an Equal Opportunity Employer, we encourage applications from candidates with diverse backgrounds and perspectives. If you require accommodation during the application process due to a disability, please complete the request form provided. Join us in building a brighter, healthier future for all.,

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Network Operations - Utilities.: Experience: 3-5 Years.

Job Title:Data Analyst Experience: 3-5 Years Location:Pune and Bangalore Job Description : For Data Analyst role please look for candidates only from Pune and Bangalore locations. It is observed that later candidates deny to shift cities and then its a challenge to take up next steps. Pyspark, Banking domain are MUST have for DA role. Atleast 3 years of experience is needed. Even for Tech BA roles resumes are not relevant. Guess Aditi has already spoken to you on this. Please look for candidates who can join in maximum 20 days.

As a Global HR Business and HR Analyst, you will play a pivotal role in enabling business strategy through data driven insights. You will be responsible for research, analysis and presentation of key HR data to build understanding and insights that will enable informed decision-making across business functions and the global HR organization. You will identify program and process improvement opportunities for HR organizations, ensuring alignment with business priorities. Your subject matter expertise will be valuable in mentoring others within the HR organization on reporting and analytics for new and existing processes and programs. Responsibilities include but are not limited to: Establish key performance indicators, metrics, and dashboards for HRBPs, COEs and other key stakeholders on HR programs, processes and initiatives. Create standardized reports connected with HR programs that enable review of impact to business priorities. Identify the impact of HR program to business priorities, determine gaps and prepare for future needs. Create and monitor metrics, data, and processes to measure success of HR organization , and facilitate reviews and, improvement actions. Work in partnership with Finance/Business functions/HRBPs/HR COEs to create accurate real-time HC reports on one platform. Partner with all HR COEs/HRBPs to ensure relevant success measures are included in the design of programs/processes; align systems and tools to support data collection; enable reportability. Understand the voice of the business on program readiness and complexities and how data/analytics can be utilized to support business objectives. Partner with HRBPs to get a core/common understanding of key business priorities. Drive efficient program processes, communication, and reporting consistency globally. Anticipate and address trends and issues impacting the businesses and provide insights, recommendations, tools and solutions. Provide solutions based on data analysis that enable the HR team to proactively provide input to leaders. Ensure consistent/effective utilization of data/tools/systems. Benchmark industry standards for data/analytics. Provide subject matter expertise and training to increase HR capabilities in data analytics and data driven decision making culture. Qualifications Over 5 years experience as an analyst or similar role in a global company Ability to work independently, strong attention to detail, strong analytical and problem-solving skills. Experience working with large datasets using advanced data mining and analytical techniques. Ability to synthesize complex information from disparate sources, understand trends, create meaningful reports, and drive decision-making. Strong understanding of development, documentation, and implementation of business processes. Can navigate complex organizations and situations. Ability to adapt to new situations and challenges in the workplace. Strong collaborator and communicator across multiple levels. Proficient use of various tools to manipulate and manage data: SAP HRIS, SQL Server, MS Excel, MS Access, Power BI, etc. Company Description Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world-leading MCUs, SoCs, analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you. Renesas employs roughly 21, 000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what s next in electronics and the world.

As a Global HR Business and HR Analyst, you will play a pivotal role in enabling business strategy through data driven insights. You will be responsible for research, analysis and presentation of key HR data to build understanding and insights that will enable informed decision-making across business functions and the global HR organization. You will identify program and process improvement opportunities for HR organizations, ensuring alignment with business priorities. Your subject matter expertise will be valuable in mentoring others within the HR organization on reporting and analytics for new and existing processes and programs. Responsibilities include but are not limited to: Establish key performance indicators, metrics, and dashboards for HRBPs, COEs and other key stakeholders on HR programs, processes and initiatives. Create standardized reports connected with HR programs that enable review of impact to business priorities Identify the impact of HR program to business priorities, determine gaps and prepare for future needs. Create and monitor metrics, data, and processes to measure success of HR organization , and facilitate reviews and, improvement actions. Work in partnership with Finance/Business functions/HRBPs/HR COEs to create accurate real-time HC reports on one platform. Partner with all HR COEs/HRBPs to ensure relevant success measures are included in the design of programs/processes; align systems and tools to support data collection; enable reportability. Understand the voice of the business on program readiness and complexities and how data/analytics can be utilized to support business objectives. Partner with HRBPs to get a core/common understanding of key business priorities. Drive efficient program processes, communication, and reporting consistency globally. Anticipate and address trends and issues impacting the businesses and provide insights, recommendations, tools and solutions. Provide solutions based on data analysis that enable the HR team to proactively provide input to leaders. Ensure consistent/effective utilization of data/tools/systems. Benchmark industry standards for data/analytics. Provide subject matter expertise and training to increase HR capabilities in data analytics and data driven decision making culture. Qualifications 3-5 years experience as an analyst or similar role in a global company or HR experience with background in data analytics. Ability to work independently, strong attention to detail, strong analytical and problem-solving skills. Experience working with large datasets using advanced data mining and analytical techniques. Ability to synthesize complex information from disparate sources, understand trends, create meaningful reports, and drive decision-making. Strong understanding of development, documentation, and implementation of business processes. Can navigate complex organizations and situations. Ability to adapt to new situations and challenges in the workplace. Strong collaborator and communicator across multiple levels. Proficient use of various tools to manipulate and manage data: SAP HRIS, SQL Server, MS Excel, MS Access, Power BI, etc. Company Description Renesas is one of the top global semiconductor companies in the world. We strive to develop a safer, healthier, greener, and smarter world, and our goal is to make every endpoint intelligent by offering product solutions in the automotive, industrial, infrastructure and IoT markets. Our robust product portfolio includes world-leading MCUs, SoCs, analog and power products, plus Winning Combination solutions that curate these complementary products. We are a key supplier to the world s leading manufacturers of electronics you rely on every day; you may not see our products, but they are all around you. Renesas employs roughly 21, 000 people in more than 30 countries worldwide. As a global team, our employees actively embody the Renesas Culture, our guiding principles based on five key elements: Transparent, Agile, Global, Innovative, and Entrepreneurial. Renesas believes in, and has a commitment to, diversity and inclusion, with initiatives and a leadership team dedicated to its resources and values. At Renesas, we want to build a sustainable future where technology helps make our lives easier. Join us and build your future by being part of what s next in electronics and the world.

The primary responsibilities of the IMG Buyer are the execution of strategies to deliver program targets, TVM goals, Global Commodity Business Plans covering regional objectives and execution of supply-base development strategies, adept at Supplier risk management, costing methodologies & basics of Finance. Education Qualification Bachelors degree in Engineering, MBA desirable No. of Years of Experience 3 ~ 5 years of related experience (Automotive buying experience preferred) Professional Exposure 1) Excellent research, data mining, analytical and problem solving skills 2) Extremely good Presentation & Communication skills (written and verbal) 3) Attitude to work in challenging environment & Attitude to improve is a must 4) Ability to understand cost drivers and achieve desired cost structures 5) Good Manufacturing Process knowledge of various commodities 6) Able to lead structured supplier meetings and drive desired outcomes 7) Be an excellent negotiator, drive creative solutions & self starter. 8) Keep up commitments on time; Be Proactive and question logically 9) Willing to learn / teach and share experience with team member Preferred previous experiences 1) Comprehensive knowledge of various commodities 2) Automotive purchasing experience (plus) 3) Good Financial acumen ability to read P&L & Balance sheets . Good in Supplier risk Management strategies, exposure to value stream mapping & logistics. 4) Good supplier relationship management skills , break the barrier , out of box thinker & makes things happen - cite instances. Leadership Skills Strong leadership potential in a cross-functional multi-cultural organization. Integrity, commitment to delivery, ability to prioritize and juggle conflicting priorities, team work, effective consultation & relationship building skills. Program Develops and execute negotiation strategies to deliver Program targets on tooling and piece price. Proactive planning of activities to meet/beat Matched Pair objectives. TVM Negotiate and achieve YOY / MYA cost reductions through development & utilization of analytical tools to deliver Best-In-Class pricing. Lead negotiations with regional suppliers and represent IMG in global negotiations Champion Lean / Value Engineering projects with suppliers and bring value chain benefits to Ford Supply-base Development Lead / Support CFT in development of sustainable supply base with leadership in Quality, Delivery & costing Drive for the localization and cost saving for the affected markets to meet the market regulations Identification of High-risk suppliers and develop action plan to mitigate risk Strategy Development Effective participant in Global commodity meetings to bring value to IMG by leveraging global / regional programs with global suppliers to meet our both TVM and Program objectives Formulate Regional commodity strategy for near and long business term and effective infusion of the same in Global commodity business plan Leadership potential Be proactive & actively engage in group projects displaying we than I , team dynamics & behavior.

Roles & Responsibilities : Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Good knowledge of advanced statistical methods. Mine and analyze data, applying statistical methods as necessary, pertaining to customers discovery, and viewing experiences to identify critical product insights. Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits Interact with our research team and with key partners in the market to build end-to-end AI/ML/NLP solutions: Conversational AI, document understanding Mine and analyze data, applying statistical methods as necessary, pertaining to customers discovery, and viewing experiences to identify critical product insights. Proactively develop new metrics and studies to quantify the value of different aspects of product. Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization. Translate analytic insights into concrete, actionable recommendations for business or product improvement. Build and improve reusable tools & modelling pipelines and support knowledge sharing across several teams. Define and deploy best practices in Machine Learning & MLOps, mentor and teach colleagues. Partner closely with product and engineering leaders throughout the lifecycle of project Education and Work Experience Requirements: 5 to 8 years of experience as Data Scientist Proven track record and experience with statistical modeling/data mining algorithms such as Multivariate Regression, Logistic Regression, clustering algorithms, Support Vector Machines, Decision Trees etc Machine learning, deep learning, graph mining. DOE, Forecasting, Segmentation, Uncertainty Analysis etc. Data Mining i. e. Text Mining, Classification Methods SVM, NN, etc Vector Space model for Unstructured Text Sentiment Analysis, Association Mining, Semantic Analysis Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits Expertise with one of the following scripting languages: Python, R, Tensorflow, Keras, Pytorch OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs Good and experience of machine learning algorithms and ability to apply them in supervised and un-supervised NLP tasks. Knowledge of NLP algorithms that can handle various NLP tasks such as intent recognition, entity extraction, language modeling, text classification, question answering, text summarization, topic modeling and so on. Experience building and fine-tuning Language Models (LMs), such as BERT, ELMo, XLNet etc to solve bespoke NLP tasks. Tech savy and willing to work with open-Source Tools Should have independently handled a project technically and provided directions to the other Team Members. Able to lead the project independently. Experience in turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through development. Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company. Good to have foundational knowledge on Cloud, API frameworks like Flask, Fast API Prior experience working on Mobility or Healthcare domain will be a plus

We have an exciting opportunity for you to leverage data science methods to deliver actionable insights across the Card business. As a Data Science Associate within the Card Data and Analytics team, you will leverage skills in building insights from advanced analytics, Gen AI / LLM tools, analysis, data querying, and extracting insights from big data to support our Credit Card business. This role is a hands-on mix of consulting know-how, analytical proficiency in statistics, data science, and machine learning/AI, proficiency in SQL/Python programming, visualization methods, and technologies. Job Responsibilities Leverage your knowledge and analytical skills to uncover novel use cases of Big Data analytics for the Credit Card business. Support development of data science / AIML use cases for the Card business. Help partners in the Card business define their business problems and scope analytical solutions. Build an in-depth understanding of the Card domain and available data assets. Research, design, implement, and evaluate analytical approaches and models. Perform ad-hoc exploratory analyses and data mining tasks on diverse datasets. Communicate findings and obstacles to stakeholders to drive delivery to market. Required Qualifications, Capabilities, and Skills Bachelor s degree in a relevant quantitative field required in an analytical field (e. g. , Statistics, Economics, Applied Math, Operations Research, other Data Science fields). 4+ years of hands-on experience with data analytics; experience evaluating complex business problems and devising recommendations. Exceptional analytical, quantitative, problem-solving, and communication skills. Excellent leadership, consultative partnering, and collaboration across teams. Knowledge of statistical software packages (e. g. , Python) and data querying languages (e. g. , SQL). Experience across a broad range of modern analytics tools (e. g. , Snowflake, Databricks, SQL, Spark, Python). Preferred Qualifications, Capabilities, and Skills Understanding of the key drivers within the credit card P&L is preferred. Financial services background preferred, but not required. Master s degree or equivalent in an analytical field. We have an exciting opportunity for you to leverage data science methods to deliver actionable insights across the Card business. As a Data Science Associate within the Card Data and Analytics team, you will leverage skills in building insights from advanced analytics, Gen AI / LLM tools, analysis, data querying, and extracting insights from big data to support our Credit Card business. This role is a hands-on mix of consulting know-how, analytical proficiency in statistics, data science, and machine learning/AI, proficiency in SQL/Python programming, visualization methods, and technologies. Job Responsibilities Leverage your knowledge and analytical skills to uncover novel use cases of Big Data analytics for the Credit Card business. Support development of data science / AIML use cases for the Card business. Help partners in the Card business define their business problems and scope analytical solutions. Build an in-depth understanding of the Card domain and available data assets. Research, design, implement, and evaluate analytical approaches and models. Perform ad-hoc exploratory analyses and data mining tasks on diverse datasets. Communicate findings and obstacles to stakeholders to drive delivery to market. Required Qualifications, Capabilities, and Skills Bachelor s degree in a relevant quantitative field required in an analytical field (e. g. , Statistics, Economics, Applied Math, Operations Research, other Data Science fields). 4+ years of hands-on experience with data analytics; experience evaluating complex business problems and devising recommendations. Exceptional analytical, quantitative, problem-solving, and communication skills. Excellent leadership, consultative partnering, and collaboration across teams. Knowledge of statistical software packages (e. g. , Python) and data querying languages (e. g. , SQL). Experience across a broad range of modern analytics tools (e. g. , Snowflake, Databricks, SQL, Spark, Python). Preferred Qualifications, Capabilities, and Skills Understanding of the key drivers within the credit card P&L is preferred. Financial services background preferred, but not required. Master s degree or equivalent in an analytical field.

ECMS Req # 525464 Role Sr. Consultant Number of Openings 1 Duration of project 6 Months No of years experience Relevant 8 years Total 12 years Detailed job description - Skill Set: Ability to interact closely with Business Stakeholder on understanding their business requirements and converting them into opportunity. Leading POCs to create break through technical solutions, performing exploratory and targeted data analyses. Ability to Manage and support existing applications and implementing the best practices on timely Manner. Designs, Develops, and Tests Data Models to import data from source systems to meet Project requirements Effectively analyzes the heterogeneous source data and writes SQL scripts to integrate data from multiple data sources Analyzes the results to generate actionable insights and presents the findings to the business users for informed decision making Understands business requirements and develops dashboards to meet business needs Adapts to the changing business requirements and supports the development and implementation of best-known methods with respect to data analytics Performs Data mining which provides actionable data in response to changing business requirements Migrates data into standardized platforms (Power BI) and builds critical data models to improve process performance and product quality Owns technical implementation and documentation associated with datasets Provides updates on project progress, performs root cause analysis on completed projects and works on identified improvement areas (like process, product quality, performance, etc. ) Mandatory Skills 8+ years of experience on relevant experience Expert in Power Apps Experience with JavaScript, Power Fx, create plugins, custom app and canvas/model driven, page development, web API creation, data/Cloud flow, Dataverse. Solid Knowledge in Reports & Dashboard development (Power BI) Good Knowledge in Data Base (SQL Server, SAP HANA, Azure Synapse) Good to have skill Knowledge of SAP systems (SAP ECC T-Codes & Navigation) Vendor Billing range (local currency /Day) 11000 INR per Day Client LAMR Work Location Bangalore, Hyderabad Hybrid/remote/WFO WFO for 3 days a week from client location in Blore BGV Pre/Post onboarding Pre-Onboarding

We are looking for the right individual to embrace the opportunity to tackle challenging problems and use their influence to drive continual improvement. You will use various methods to transform raw data into useful data systems. For example, you ll create algorithms and conduct statistical analysis. Overall, you ll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods. Responsibilities Analyse and organize raw data Build data systems and pipelines Evaluate business needs and objectives Interpret trends and patterns Conduct complex data analysis and report on results Prepare data for prescriptive and predictive modelling Build algorithms and prototypes Combine raw information from different sources Explore ways to enhance data quality and reliability Identify opportunities for data acquisition Develop analytical tools and programs Collaborate with data scientists and architects on several projects Impact Youll Make: Requirements and skills Previous experience as a data engineer or in a similar role GCP experience is a must for this role Experience with Big query, GCS, Dataflow and other tools and techniques used for building pipeline is a must Good hands on experience in programming languages ( e.g. Java and Python) \ Technical expertise with data models, data mining, and segmentation techniques Hands-on experience with SQL and NoSQL database design Great numerical and analytical skills GCP Data engineering certification is a plus This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Lead Engineer, Data Development

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skill fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology on #TeamAmex. How will you make an impact in this role? The Infrastructure Data & Analytics team unifies FinOps, Data Science and Business Intelligence to enable Technology cost transparency, infrastructure performance optimization and commercial efficiency for the enterprise through consistent, high-quality data and predictive analytics. This team within Global Infrastructure aims to establish and reinforce a culture of effective metrics, data-driven business processes, architecture simplification, and cost awareness. Metric-driven cost optimization, workload-specific forecasting and robust contract management are among the tools and practices required to drive accountability for delivering business solutions that derive maximum value. The result will provide a solid foundation for decision-making around cost, quality and speed. We are seeking an experienced Data Analyst for our team who can support the design, development and enhancement of our data model and visualizations. This DataOps team sets the foundation for how infrastructure utilization, consumption and asset inventory data is ingested, validated, and presented in our suite of reporting capabilities. The Data Analyst will help ensure data quality (data accuracy, completeness, timeliness, consistency, uniqueness and relevance) is meeting the highest standards for our users. This individual will be responsible for quantitative analysis, data mining and data validation across infrastructure data sources and data visualization tools. Let s build on what you know. The role will require a unique blend of strong analytical and business leadership skills to translate business decisions into data requirements and visualizations. This individual will build a deep understanding of the infrastructure data we use in order to work across the ID&A team and key stakeholders the appropriate data to tell a data story. This includes supporting the team in defining and aggregating the data, metrics, and KPIs required to provide business insights. They will translate business requirements into the meaningful data queries and calculations needed to drive the appropriate data decisions and ensure data validation processes address data quality requirements. They will bring passion for data-driven decisions, enterprise solutions, and collaboration to the role, transforming platform data into actionable insights by utilizing data analytics and data visualization best practices. Key responsibilities include: Data Analysis: define methodology and approach for curating appropriate datasets to prepare data for reporting or analytical modeling that answers business-related infrastructure questions and hypotheses Data Validation: Investigate and document data sources to ensure data is fit for purpose and meets data quality standards Data Process and Monitoring: Ensure proper data validation, testing, and monitoring for ID&A data lake and downstream systems Data Migration: Design and support migration to a data model that is independent of the particular technologies or tools used for storing, processing, or accessing the data Data Integrity: Ensure the accuracy, completeness, and quality of data is maintained over time regardless of upstream systems or downstream Agile Methodologies: Function as a key member of an agile feature team and manage data assets as per the enterprise standards, guidelines and policies Partner closely with business intelligence team to capture and define data requirements for new and enhanced data visualizations Work with product teams to perform on-demand data queries and assessments for use in data modeling and cost methodology Enterprise Thinking: Partner with data architects and engineers across Global Infrastructure and Asset Management teams to evolve the broader tech operations data domain and taxonomy Act as point of contact for data-related inquiries and data access requests Contribute to decisions about tools, methods and approaches Innovation: Leverage the evolving technical landscape as needed, including AI, Big Data, Machine Learning and other technologies to deliver meaningful business insights Minimum Requirements: 6+ years of data analytics experience in supporting data engineering, data quality monitoring, governance, and self-service data access Strong analytical and conceptual thinking acumen Proficiency with industry recognized ETL methods, processes and standards High proficiency in Python and SQL High proficiency in analytical and statistical tools Testing and Troubleshooting: Ability to test, troubleshoot, and debug data processes Experience in Big Data environment, inclusive of data mining techniques and data processing. Ability to address performance issues and to manipulate both structured and unstructured data Strong analytical skills with a proven ability to understand and document business data requirements in complete, accurate, extensible and flexible logical data models, data visualization tools (e.g. Apptio BI, PowerBI) Ability to write efficient SQL queries to extract and manipulate data from relational databases, data warehouses and batch processing systems Fluent in data risk, management, and compliance terminology and best practices Proven track record for delivering business insights with tech and business stakeholders Self-starter who is able to problem-solve effectively, organize and document processes, and prioritize feature with limited guidance An enterprise mindset that connects the dots across various requirements and the broader operations/infrastructure data architecture landscape Excellent influential and collaboration skills; ability to drive consensus and tangible outcomes, demonstrated by breaking down silos and fostering cross-team communication Understanding of complex software delivery including build, test, deployment, and operations; conversant in AI, Data Science, and Business Intelligence concepts and technology stack Foundational Public Cloud (AWS, Google, Microsoft) certification; advanced Public Cloud certifications a plus Experience working in technology business management, technology infrastructure or data visualization teams a plus Experience with design and coding across multiple platforms and languages a plus Bachelor s Degree in data analytics, computer science, computer science engineering, data engineering, statistics, economics, or related field required; advanced degree preferred We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

The Role: Lead Analytics Specialist will work with the central analytics team at Razorpay. This will give you an opportunity to work in a fast-paced environment aimed at creating a very high impact and to work with a diverse team of smart and hardworking professionals from various backgrounds. Some of the responsibilities include working with large, complex data sets, developing strong business and product understanding and closely being involved in the product life cycle. Setting high standards in project management and mentoring analysts. Roles and Responsibilities: You will work with large, complex data sets to solve open-ended, high impact business problems using data mining, experimentation, statistical analysis and related techniques, machine learning as needed You would have/develop a strong understanding of the business & product and conduct analysis to derive insights, develop hypothesis and validate with sound rigorous methodologies or formulate the problems for modeling with ML You would apply excellent problem solving skills and independently scope, deconstruct and formulate solutions from first-principles that bring outside-in and state of the art view You would be closely involved with the product life cycle working on ideation, reviewing Product Requirement Documents, defining success criteria, instrumenting for product features, Impact assessment and identifying and recommending improvements to further enhance the Product features You would expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms You will develop compelling stories with business insights, focusing on strategic goals of the organization You will work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness Set high standards in project management; own scope and timelines for the team Take responsibility for skill-building within the organization (training, process definition, research of new tools and techniques etc.) Mentoring analysts within the team to deliver effectively, incubating new ideas. Mandatory Qualifications: Bachelors/Master s degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field 5-7 years of high quality hands-on experience in analytics and data science Hands on experience in SQL and Python Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc. Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization. Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction Work experience in Consumer-tech organizations would be a plus Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning

The position is with the Communication BU and you would be responsible for supporting our business operations and sales analysis. The role demands sales business intelligence, reporting and analytics skill. Through sales reporting and analytics, the team provides visibility into the BUs sales pipeline, integrating information from sales, customer and financial sources for a complete and detailed overview of the sales performance. Roles & Responsibilities Supporting Sales and Delivery operations, Manage numbers such as revenue, OB, Invoicing, Billing, COD etc. Strong understanding and knowledge of statistics and should be able to apply statistical tools in carrying out predictive analytics. Design , Execute and Manage Sales Analytics and Reporting for large enterprise for sales insights Provide actionable insights from huge volume of data (Both Structured and Unstructured) using Data Mining, Data Cleansing techniques. Analyze results and set up reports, design dashboards containing relevant KPI, measures that would enable senior management and sales force towards decision making. Business analysis, decision support and working within various reporting systems for enhanced sales execution. Communicate and provide relevant recommendations to key leadership stakeholders - Sales/Presales/Leadership through analytics while addressing real business problems/issues/challenges.

About Us Exotel is the emerging market s leading full stack customer engagement platform and business-focused virtual telecom operator. Incorporated in 2011, Exotel s cloud-based product suite powers 50 million daily engagements across voice, video and messaging channels. Exotel powers unified customer engagement to over 6000 companies in 60+ countries, including India, SE Asia, the Middle East, and Africa. Today, some of the fastest-growing companies in the emerging markets (Ola, Swiggy, Flipkart, GoJek, Byju s, Urban Company, HDFC Bank, Zomato, Oyo, etc.) manage their customer engagement with Exotel s suite of a communication APIs, Ameyo s omnichannel contact center (merger), and Cogno AI s conversational AI platform (acquisition) over the cloud. They re a $100 million Series D funded company with $60 million in ARR. About the Business Unit Growth @ Exotel We aspire to build customerestas - a lasting relationship with customers that helps in their growth across functions. We entertain enthusiasts who are expert learners and willing to grow and adapt to the culture and the fast-paced environment we work in. Our motto is to support the organizations end goal by enabling an effortless and frictionless customer experience. As flag bearers of the growth function, we expect clarity and strength in verbal and writing capabilities. We are on the lookout for data drillers. From understanding market trends to doing something out-of-the-box, we encourage a number-driven and research-based approach. About the Role The primary focus of a Senior Sales Development Representatives to generate International/Domestic enterprise leads for our products through Outbound Prospecting via various outreach channels such as Cold Warm Calls, LinkedIn, Email etc. coordinate with Sales Managers and help them to build healthy pipeline which can be readily closed, deliver first level product demo and record all your activities in Sales CRM. What will you do? As the SDR of this team, your roles and responsibilities include: Act as the first point of contact with the prospects and outbound leads. Work towards materializing Lead Qualification. Assign leads to sales teams. Coordinating meetings with clients and prospects. Data mining through different web portals. Database management and segregation. What we are looking for? Experience :4-7 years Must haves Effective communication skills and has an innate ability to relay information in a meaningful manner to the prospects. Have exposure selling to B2B Enterprise account Must have excellent soft-skills. Must have excellent prospecting skills. Should have good knowledge of technologies like Cloud Deployment Models, APIs, SDKs and Generative AI Good to Haves Should have good negotiation skills.

Responsibilities Position responsibilities and expectations Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. Ability to learn new scripting language or analytics platform. Technical Skills required (must have) HandsOn Exposure to Generative AI (Design, development of GenAI application in production) Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. Strong understanding of deploying and optimizing AI application in production. Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Nonparametric analysis. Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. Experience in advanced Text Analytics (NLP, NLU, NLG). Strong handson experience of endtoend statistical model development and implementation Understanding of LLMOps, ML Ops for scalable ML development. Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) Experience in video/ image analytics (Computer Vision) Experience in IoT/ machine logs data analysis Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME Expertise in Cloud analytics platforms (Azure, AWS or Google) Experience in Process Mining with expertise in Celonis or other tools Proven capability in using Generative AI services like OpenAI, Google (Gemini) Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) Understanding of finetuning for pretrained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. Proven capability in building customized models from opensource distributions like Llama, Stable Diffusion Mandatory skill sets AI chatbots, Data structures, GenAI objectoriented programming, IDE, API, LLM Prompts, Streamlit Preferred skill sets AI chatbots, Data structures, GenAI objectoriented programming, IDE, API, LLM Prompts, Streamlit Years of experience required 36 Years Education qualification BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education Degrees/Field of Study required Doctor of Philosophy, Bachelor of Engineering, Bachelor of Technology Degrees/Field of Study preferred Required Skills Chatbots, Data Structures, Generative AI Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more} Travel Requirements Government Clearance Required?

Not Applicable Specialism Data, Analytics & AI Management Level Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decisionmaking and automation. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . Responsibilities Position responsibilities and expectations Designing and building analytical /DL/ ML algorithms using Python, R and other statistical tools. Strong data representation and lucid presentation (of analysis/modelling output) using Python, R Markdown, Power Point, Excel etc. Ability to learn new scripting language or analytics platform. Technical Skills required (must have) HandsOn Exposure to Generative AI (Design, development of GenAI application in production) Strong understanding of RAG, Vector Database, Lang Chain and multimodal AI applications. Strong understanding of deploying and optimizing AI application in production. Strong knowledge of statistical and data mining techniques like Linear & Logistic Regression analysis, Decision trees, Bagging, Boosting, Time Series and Nonparametric analysis. Strong knowledge of DL & Neural Network Architectures (CNN, RNN, LSTM, Transformers etc.) Strong knowledge of SQL and R/Python and experience with distribute data/computing tools/IDEs. Experience in advanced Text Analytics (NLP, NLU, NLG). Strong handson experience of endtoend statistical model development and implementation Understanding of LLMOps, ML Ops for scalable ML development. Basic understanding of DevOps and deployment of models into production (PyTorch, TensorFlow etc.). Expert level proficiency algorithm building languages like SQL, R and Python and data visualization tools like Shiny, Qlik, Power BI etc. Exposure to Cloud Platform (Azure or AWS or GCP) technologies and services like Azure AI/ Sage maker/Vertex AI, Auto ML, Azure Index, Azure Functions, OCR, OpenAI, storage, scaling etc. Technical Skills required (Any one or more) Experience in video/ image analytics (Computer Vision) Experience in IoT/ machine logs data analysis Exposure to data analytics platforms like Domino Data Lab, c3.ai, H2O, Alteryx or KNIME Expertise in Cloud analytics platforms (Azure, AWS or Google) Experience in Process Mining with expertise in Celonis or other tools Proven capability in using Generative AI services like OpenAI, Google (Gemini) Understanding of Agentic AI Framework (Lang Graph, Auto gen etc.) Understanding of finetuning for pretrained models like GPT, LLaMA, Claude etc. using LoRA, QLoRA and PEFT technique. Proven capability in building customized models from opensource distributions like Llama, Stable Diffusion Mandatory skill sets AI chatbots, Data structures, GenAI objectoriented programming, IDE, API, LLM Prompts, Streamlit Preferred skill sets AI chatbots, Data structures, GenAI objectoriented programming, IDE, API, LLM Prompts, Streamlit Years of experience required 36 Years Education qualification BE, B. Tech, M. Tech, M. Stat, Ph.D., M.Sc. (Stats / Maths) Education Degrees/Field of Study required Doctor of Philosophy, Bachelor of Engineering, Bachelor of Technology Degrees/Field of Study preferred Required Skills Chatbots, Data Structures, Generative AI Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, C++ Programming Language, Communication, Complex Data Analysis, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Machine Learning, Machine Learning Libraries, Named Entity Recognition, Natural Language Processing (NLP), Natural Language Toolkit (NLTK) {+ 20 more} Travel Requirements Government Clearance Required?

Roles and Responsibilities: Support the Failure Analysis Team from Quality Organization. Perform troubleshooting of the failed component(s) to determine the root cause(s). Perform Testing and instrumentation of the test setup to validate the failures. Data collection and data Mining from the sensors. Skills and Experience: Majoring in an Electrical Engineering, Mechanical Engineering, Materials Science field. Strong independent problem solving skills. Excellent verbal and written communication skills. Ability to operate under minimal supervision.

Job Title - Assistant Manager SCFS Operations Job Location - Bangalore ABOUT UNILEVER: Be part of the world s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life giving us a unique opportunity to build a brighter future. Every individual here can bring their purpose to life through their work. Join us and you ll be surrounded by inspiring leaders and supportive peers. Among them, you ll channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we ll work to help you become a better you. ABOUT UNIOPS: FUNCTION AND SERVICE LINE INTRODUCTION In this role you will work as part of the Global Supply Chain Finance Services (SCFS) team at Unilever. At SCFS we aim to create value through continuous global impact on the financial results of Unilever and we live a strong purpose inspired to make an impact . Our operational scope includes costing, accounting, reporting and controlling activities within the domain of Supply Chain Finance. We work in a dynamic environment with significant change in ways of working resulting from continuous improvement projects, automated/robotised solutions, data driven insights. With our ambitious continuous improvement and new scope agenda, we are focusing on different aspects. Redesigning the global process models, process optimizations by utilizing third party service provider and technology solutions, lead and own the design of global/regional projects. Ensure compliance in financial controls and develop solutions to drive analytics and insights. SCFS activities are delivered from locations across 3 continents Europe (Poland), Americas (Mexico) and Asia (India). PURPOSE OF THE ROLE Assistant Finance Manager gives support to the Supply chain Finance teams in business, by performing various day to day operational activities on their behalf, discussing and sharing relevant information and assumptions behind these activities so that SCF Business teams can concentrate on their core business partnering tasks. WHAT WILL YOUR MAIN RESPONSIBILITIES BE Supplychain Cost Analytics and Reporting related activities for Business Teams Governing the service delivery of the processes with 3PSP Business Partner and First point of contact within Unilever for relevant processes Design support for assigned SCF processes Manage effective service delivery, creating exceptional user experience in stakeholder community In depth understanding of business systems and tools GFCF controls understanding, documentation and attend / support SOX and other Audits Data mining and KPI development Driving Excellence in service delivery and continuous improvements Support internal discussions by sharing Global picture with right facts Benchmark processes across the globe to spot and and drive opportunities to harmonize or implement more efficient ways of working Support / Lead various projects touching the processes governed by Global SCFS or implementation of new scope activities Support the deployment of the M&A and disposal agenda across globe EXPERIENCES & QUALIFICATIONS Necessary Experience & Qualifications Masters or Bachelors degree in finance or equivalent experience Background in Finance (> 3 years experience) Prior experience in Finance and Accounting (e. g. SU finance) Experience in Project management English fluency (Business level) Preferred Experience & Qualifications Project Management, knowledge transfer or production controlling experience would be an advantage. SKILLS Financial Accounting and Reporting knowledge Analytical thinking and problem-solving mind-set. Effective Communication: Fluent in English, oral and written Prioritization and Planning of own agenda Forward looking approach and ability to provide what if analysis A strong customer and service centric mindset Stakeholders Management IT skills excellent level of computer literacy (incl excel & SAP) Team working demonstrate commitment to the team in helping to achieve goals; proactively share best practice, ideas and insights with colleagues Agility and ability to adjust quickly to changes Strong in holding self and others accountable LEADERSHIP SKILLS Unilever Behaviors PASSION FOR HIGH PERFORMANCE: Takes personal responsibility and accountability for execution and results. Generates intensity and focus to motivate people to deliver results at speed. PERSONAL MASTERY: Sets high standards for themselves. Actively builds own wellbeing and resilience. NOTE: All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent please verify before proceeding

KPMG India is looking for Assistant Manager - Mining Assistant Manager - Mining to join our dynamic team and embark on a rewarding career journey Ensuring company policies are followed. Optimizing profits by controlling costs. Hiring, training and developing new employees. Resolving customer issues to their overall satisfaction. Maintaining an overall management style that follows company best practices. Providing leadership and direction to all employees. Ensuring product quality and availability. Preparing and presenting employee reviews. Working closely with the store manager to lead staff. Overseeing retail inventory. Assisting customers whenever necessary. Organizing employee schedule. Ensuring that health, safety, and security rules are followed. Ensuring a consistent standard of customer service. Motivating employees and ensuring a focus on the mission. Maintaining merchandise and a visual plan. Maintaining stores to standards, including stocking and cleaning. Completing tasks assigned by the general manager accurately and efficiently. Supporting store manager as needed.

Summary Plays a pivotal role in leading the technical services team and managing analytical instrumentation across the facility. This role is responsible for ensuring operational efficiency, quality compliance, accurate reporting, and continuous improvement in line with pharmaceutical industry standards. Lead, manage optimize all technical operations related activities, contribute to overall ARD strategies and goals. Data mining implement best practices across industry. This role requires a strategic approach to reduce costs, increase speed of delivery, and improve overall customer satisfaction. About the Role Major accountabilities: Advanced knowledge of pharmaceutical instruments Well-connected in OEM industry Knowledge of CFR 21 compliances Job role requires global interaction Team contributor Proficient in English Stakeholder management Vendor development and management Plays a pivotal role in leading the technical services team and managing analytical instrumentation across the facility. This role is responsible for ensuring operational efficiency, quality compliance, accurate reporting, and continuous improvement in line with pharmaceutical industry standards. Team Leadership Performance Lead and develop service team members for consistent, high-level performance Conduct team performance reviews and set individual development goals Create a results-driven work environment aligned with organizational values Inventory Asset Management Monitor and manage spares inventory and ensure accurate usage documentation Track monthly spares consumption and support procurement forecasting Oversee material movement processes to ensure traceability and compliance Equipment Management Compliance Ensure continuous readiness and calibration of all analytical instruments Plan and execute Preventive Maintenance (PM) schedules and ensure adherence Maintain ALCOA+ principles across all service-related documentation and data handling Attend and resolve breakdown calls efficiently, minimizing downtime Provide hands-on support to end users for optimal equipment utilization Vendor Coordination Procurement Coordinate with vendors for timely service delivery, installations, and maintenance Evaluate vendor performance based on SLAs and recommend improvement initiatives Support procurement processes through proactive demand planning and vendor engagement Reporting Analytics Generate monthly reports covering breakdowns, calibrations, service logs, and utilization data Provide insight-driven dashboards and summaries for senior management Ensure service-related documentation is audit-ready and meets internal/external standards Deviations Change Control Manage and investigate equipment-related deviations in accordance with SOPs Initiate and track change control requests linked to instrumentation, processes, and materials Collaborate with QA and Regulatory teams for corrective and preventive actions (CAPA) Strategic Cross-functional Engagement Collaborate closely with cross-functional teams including QA, Manufacturing, Engineering, and Regulatory Affairs Participate in audits, validations, and continuous improvement initiatives Identify and implement process enhancements to boost service efficiency and compliance Minimum requirement: Degree or equivalent as an educational qualification Demonstrated, extensive experience and recognized expertise in the GxP area can override the training requirements. Good knowledge of English and site language (oral and written). Recognized expertise in analytical. Relevant experience of working in a scientific and strategic environment. Thorough understanding of drug development processes. Demonstrated successful experience with working in interdisciplinary and cross cultural teams. Demonstrated advanced coaching and mentoring skills . Thorough knowledge of relevant SOP, GMP and Novartis regulations and policies if applicable. Excellent communication/presentation skills and scientific/ technical writing skills. Advanced coaching and mentoring skills. Benefits and Rewards: Read our handbook to learn about all the ways we ll help you thrive personally and professionally: