861 Data Mining Jobs - Page 8

Job Title : Team Lead Legal Document Review Location: Mohali, Punjab Experience Required: 2 to 4 years as a Document Reviewer/QC, with prior experience assisting in project/team management Job Role: Full time and onsite Company Headquarter: London About the Role: We are seeking a detail-oriented and proactive Team Lead (Legal) to join our Document Review and Data Breach Response team in Mohali. This role involves managing a team of legal professionals engaged in first and second-level document reviews, subjective coding, redfern request handling, and data mining. The Team Lead will act as a vital link between the reviewers and the Project Management team, ensuring productivity, quality control, and smooth project execution. Key Responsibilities: Lead and manage a team of 15-20 document review and data breach specialists. Oversee various types of reviews including: First-level review: Tagging documents for responsiveness, relevance, and privilege. Second-level review: Validating prior tags and redfern request handling. Subjective coding: Applying issue codes as per client specifications. Data mining: Assisting in extraction and categorization of relevant information. Collaborate with Project Managers (PM) and Assistant Project Managers (APM) to provide inputs on keyword searches and validation methods. Handle review queries, maintain query logs, and escalate unresolved issues to APM/PM. Conduct daily briefing sessions and communicate updates received from counsel to the review team. Perform stratified random sampling and Quality Control (QC) on reviewed/extracted data. Track individual reviewer productivity and ensure adherence to project deadlines and quality benchmarks. Provide refresher trainings and continuous performance feedback to team members. Requirements : Bachelor's degree in Law (LLB or equivalent). 2-4 years of hands-on experience in document review and QC processes. Proven ability to assist or partially manage teams and legal projects. Strong understanding of review platforms and tagging protocols. Excellent communication, query handling, and interpersonal skills. Strong attention to detail and ability to manage high-volume projects under strict timelines. Familiarity with data breach review processes and client confidentiality requirements is a plus. Why Join? ISO-certified & officially recognized as a Great Place to Work Competitive compensation with ample learning opportunities 5-Day Work Week (Monday to Friday) Inclusive and growth-focused work environment Comprehensive Benefits Package, including: Employer-paid medical insurance for self, spouse, and two children Personal accident and term life insurance Generous paid vacation, public holidays, and sick leave Parental Leave for new parents Employee Assistance Program (EAP) offering confidential support services Retirement benefits including Provident Fund and Gratuity Interested candidates can share their details-CV at career@huntingcherry.com or connect at 8351077725 ( for queries)

About The Role Wholesale Banking Team Member- Corporate Salary Grade M5 Job Role Coverage meeting - tracking of meetings at all levels along with senior team pan Kotak Monitor 50 top corporates every quarter and monitor monthly conversionsin WBG segment and another 25 accounts inSME Targeting 5 top groups with a potential to give 10,000 accounts each Categorisation of companies/ leads regularly and pursue the hot leads Timely actionables on key asks for each corporatehelp in customisation of product offering along with each business vertical Ensure regular review fortnightly for each business and follow up on actionables Monitoring, formulating strategy for high value CFO and CXO etc. Driving salary team for closures Monitoring RM level KRA - Scorecard for each RM across various business divisions monthly release Monitoring engagement activities done for various companies Data mining thru analytics and pushing low penetrated companies RM incentivisation activities Ensure every structured transaction and large value deals - salary is mandated

The role of the Sub Same Day business is to provide ultrafast speeds (2 hour and same day scheduled) and reliable delivery for selection that customers fast. Customers find their daily essentials and a curated selection of Amazon s top-selling items with sub same day promises. The program is highly cross-functional in nature, operations intensive and requires a number of India-first solutions to be created, which then need to be scaled WW. In this context, SSD is looking for a talented, driven and experienced Business Analyst It is a pivotal role that will contribute to the evolution and success of one of the fastest growing businesses in the company. Joining the Amazon team means partnering with a dynamic and creative group who set a high bar for innovation and success in a fast-paced and changing environment. The Business Analyst is responsible for being able to influence critical business decisions using data and providing insight to category teams to be able to act. The successful candidate needs to have : A passion for numbers, data and challenges. High attention to detail and proven ability to manage multiple, competing priorities simultaneously. Excellent verbal and written communications skills. An ability to work in a fast-paced, complex environment where continuous innovation is desired. Bias for action and ownership. A history of teamwork and willingness to roll up one s sleeves to get the job done. Ability to work with diverse teams and people across levels in an organization Proven analytical and quantitative skills (includes the ability to effectively use tools such as Excel and SQL) and an ability to use hard data and metrics to back up assumptions and justify business decisions. Key Responsibilities Influence business decisions with data. Use data resources to accomplished assigned analytical tasks relating to critical business metrics. Monitor key metrics and escalate anomalies as needed Provide input on suggested business actions based on analytical findings. 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

Role Summary: We are looking to hire a Data Analyst who will help our teams make data backed decisions by doing data analysis, KPI reporting and data visualization. To do well in this role you need a very fine eye for detail, experience as a data analyst, and deep understanding of the popular data analysis tools and techniques. Key Responsibilities: Interpret data, analyze results and provide ongoing reports. Develop analytics dashboards KPI reporting for different verticals Acquire data from primary or secondary data sources and maintain databases/data systems. Work with different departments on their data visualization and analysis needs Taking out meaningful insights from the data Desired Skill & Requirements Technical expertise regarding data models, database design development, data mining and segmentation techniques. Knowledge of statistics and experience using statistical packages for analysing datasets (Excel, Python, SQL, R). Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Adept at queries, report writing and presenting findings. Good written and verbal communication skills. Experience on techniques like - A/B Testing, ANOVA, Probability Distributions, Regression Analysis Ability to work with large amounts of data Experience : 1 to 3 years of relevant experience in data analysis. Should have 2 years of experience in SQL. Product Company background and startup experience is a plus. Education : A full time Bachelors degree from a recognised university.

We are looking for a highly skilled and analytical Data Scientist to join our team. You will be responsible for analyzing large datasets to extract actionable insights, build predictive models, and support data-driven decision-making across the organization. The ideal candidate should be passionate about data, statistical analysis, and applying machine learning techniques to solve real-world business problems. Key Responsibilities: Collect, clean, and preprocess large datasets from multiple sources. Analyze complex data sets to identify patterns, trends, and opportunities. Design and implement machine learning models to solve business challenges. Communicate findings through data visualizations, dashboards, and reports. Collaborate with cross-functional teams (engineering, product, marketing) to implement data solutions. Monitor and maintain model performance and retrain when necessary. Stay updated on the latest developments in AI/ML and data science tools. Required Skills and Qualifications: Bachelors / Masters/Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field. Strong proficiency in Python or R, along with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Experience with data querying languages such as SQL. Good understanding of statistical analysis, machine learning, and data mining techniques. Locations : Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

Company: Marsh Description: Mercer is hiring for below position for Gurgaon locationAnalyst Survey Administration What can you expectThis role is for the Data Analyst in the compensation consulting team What is in it for youThe position offers good career advancement opportunities, supported by training and professional development as well as access to the firms global network We will count on you to Client-related activities contact clients during the survey cycle, respond to client ad-hoc queries Support to the market consultants supports participation solicitation, data collection material distribution & follow-up on data submissions, datavalidation and closure of client queries with support from mentor, resolving results acess related issues and respond to ad-hoc queries Internal administrative tasks - update client participation database, ensure that all the documentation and record keeping are complete What do you need to have Graduate in any discipline Comes with 1 year of experience as a data analyst Good to have HR background Minimum 12 months experience as Analyst(B1)/Senior Analyst(B2) Should have at least On-Track or equivalent rating in last appraisal. Should not be under any Performance Counselling Plan or had any official disciplinary action within the last 3 months. Should not have applied for any other IJP in the last 3 months What makes you stand out Good understanding of various areas in HR Excellent interpersonal and communication skills Dynamic, motivated, flexible and result-oriented personality with the ability to perform under pressure Mercer believes in building brighter futures by redefining the world of work, reshaping retirement and investment outcomes, and unlocking real health and well-being. Mercers more than 20,000 employees are based in 43 countries and the firm operates in over 130 countries. Mercer is a business of Marsh McLennan (NYSEMMC), the worlds leading professional services firm in the areas of risk, strategy and people, with more than 85,000 colleagues and annual revenue of over $23 billion. Through its market-leading businesses including YOUR NEXT CAREER MOVEMarsh, Guy Carpenter and Oliver Wyman, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment. For more information, visit mercer.com. Follow Mercer on LinkedIn and X. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person Mercer, a business of Marsh McLennan (NYSEMMC), is a global leader in helping clients realize their investment objectives, shape the future of work and enhance health and retirement outcomes for their people. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit mercer.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Analytics - Risk Product Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Role: We seek an experienced Assistant General Manager - Analytics for data analysis and reporting across our lending verticals. The ideal candidate will use SQL and dashboarding tools to deliver actionable insights and manage data needs for multiple lending verticals. A drive to implement AI to automate repetitive workflows is essential. Key Responsibilities: Develop, maintain, and automate reporting and dashboards for lending vertical KPIs. Manage data and analytics requirements for multiple lending verticals. Collaborate with stakeholders to understand data needs and provide support. Analyze data trends to provide insights and recommendations. Design and implement data methodologies to improve data quality. Ensure data accuracy and integrity. Communicate findings to technical and non-technical audiences. Stay updated on data analytics trends and identify opportunities for AI implementation. Drive the use of AI to automate repetitive data workflows. Qualifications Bachelor's degree in a quantitative field. 5-7 years of data analytics experience. Strong SQL and Pyspark proficiency. Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Lending/financial services experience is a plus. Excellent analytical and problem-solving skills. Strong communication and presentation skills. Ability to manage multiple projects. Ability to work independently and in a team. Demonstrated drive to use and implement AI for automation. Preferred Qualifications Experience with statistical modeling and data mining. Familiarity with cloud data warehousing (e.g., Snowflake, BigQuery, Redshift). Experience with Python or R. Experience implementing AI solutions in a business setting Why Join us Bragging rights to be behind the largest fintech lending play in India A fun, energetic and a once-in-a-lifetime environment that enables you to achieve your best possible outcome in your career With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants - and we are committed to it. India s largest digital lending story is brewing here. It s your opportunity to be a part of the story!

Role: US IT Recruitment Min 10+ Years of experience in IT Recruitment Experience in US IT Recruitment is mandatory Technical Skills hired: Full Stack, Data Scientist, Data Mining, Data Governance, AI (Artificial Intelligence) etc Shift: UK (5:30pm to 2:30pm) Location: Bangalore (Whitefield) Immediate Joiners Only Call Anumeha @ 6376649769 Send resume to anumeha@manningconsulting.in

?Find a Career With Purpose at Teva ? Keyword ? Location ?Select how often (in days) to receive an alert: ? Finance Business Analytics ? Date:? Jun 9, 2025 ?Location: ?Bangalore, India, 560064 ? Company:? Teva Pharmaceuticals ? Job Id:? 62123 ? Who we are ? ? The opportunity ?In this position, you are part of the Finance GBS Team and work closely with the Internal GBS team, COE team, Global Controlling/Finance directors, Finance Leads and Supply chain team. ? How you ll spend your day ?Apply advanced statistical methods, machine learning, and data mining techniques to analyze data from various sources ?Explore data, identify patterns and trends, and create visualizations to communicate findings effectively to stakeholders ?Develop and maintain predictive models for various business areas, such as sales forecasting, inventory management, and customer behavior ?Collaborate with stakeholders to identify business problems, opportunities, and areas for improvement ?Design and implement analytical solutions to address business challenges, leveraging data to support decision-making ?Deploy analytical models and track their performance, as needed to ensure continued effectiveness ?Identify new opportunities to leverage data and analytics to drive business innovation and create competitive advantages? ?Ensure that analytical solutions are aligned with overall business strategy and objectives ?Effectively communicate findings and recommendations to both technical and non-technical audiences, including executive leadership and business stakeholders ?Work with other departments, such as IT, marketing, and operations, to ensure alignment and collaboration on projects ? Your experience and qualifications ?Bachelors and Masters Degree in Business, Computer Science, Information Systems, Engineering, Business/Administration, Education, Technical, Finance, MBA, Information Technology ?8+ years of experience ability to work independently taking a lead role ?Proficiency in relevant software and tools, such as SQL, Python, R, or Tableau ?Strong analytical and problem-solving skills ?Expertise in advanced analytics techniques, including machine learning, statistical modeling, and data mining ?Excellent communication and interpersonal skills ?Ability to manage multiple projects simultaneously and meet deadlines ?Experience in data modeling, data warehousing, and data governance ?Flexible and able to work in a changing environment ?Strong focus on improvement opportunities ? Reports To ?Assoc Dir Finance Operations ? Already Working @TEVA ? Internal Career Site ?The internal career site is available from your home network as well. If you have trouble accessing your EC account, please contact your local HR/IT partner. ? Teva s Equal Employment Opportunity Commitment ?Teva Pharmaceuticals is committed to equal opportunity in employment. It is Tevas global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.

Join us as a Decision Analyst at Barclays, where youll spearhead the evolution of our digital landscape, driving innovation and excellence. Youll harness cutting-edge technology to revolutionize our digital offerings ensuring unapparelled customer experiences. BUK Decision and Analytics team exist to harness the power of our data, using advanced analytics and data science, to deliver assets, that drive the performance of the bank, enabling smarter, faster, and more proactive decision making, and using information to transform the lives of our customers, colleagues, and the communities we live in, whilst protecting the sustainable advantage our data creates. This team gives an opportunity to work directly with business heads and influence their decision making through use of advanced analytics and data science to solve complex business problems. To be a successful Decision Analyst you should have experience with: Experience in data mining and building predictive machine learning models using both structured and unstructured data. Understanding of machine learning algorithms and their applications. Experience in Data science project life cycle from use case framing, data exploration, model building, deployment etc. Knowledge of Python SQL. Some other highly valued skills may include: Strong communication skills. Good in storytelling. Good at problem solving skills. You may be assessed on essential skills relevant to succeed in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. Job location of this role is Noida. Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise. Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools. Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams. Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them. Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users. Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy. Ensure all development activities are undertaken within the defined control environment. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

Perform data extraction from NIQ, Circana, Spins, and other retail and CPG sources to gather raw data for further analysis. Clean, organize, and validate data to ensure accuracy and completeness. Utilize Microsoft Excel, VBA, and SQL for data manipulation, analysis, and reporting. Collaborate with cross-functional teams to understand data requirements and deliver actionable insights. Generate and publish excel reports for further uses Apply knowledge of retail and CPG industries to enhance data analysis and reporting. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor's degree in Computer Application, Science, or relevant education. 1-3 years of experience in data acquisition & analysis or a related field. Proficiency in Microsoft Excel, Microsoft Office, VBA, SQL, and experience with NIQ, Circana, and Spins. Preferred technical and professional experience Strong analytical skills and attention to detail. Excellent communication and teamwork abilities. Ability to manage multiple tasks and meet deadlines. Experience in retail and CPG industries is preferred.

Product Development: Assist in the design, development, and implementation of software or hardware products. Write clean, efficient, and maintainable code for new and existing products. Participate in the end-to-end product development lifecycle, from requirement analysis to deployment. Testing and Debugging: Conduct unit testing and debugging of applications to ensure high-quality deliverables. Identify and resolve performance and functionality issues. Collaboration: Work closely with cross-functional teams, including designers, QA engineers, and product managers, to meet project goals. Participate in team meetings, brainstorming sessions, and code reviews. Learning and Development: Stay updated with the latest industry trends, tools, and technologies. Actively participate in training programs and knowledge-sharing sessions to enhance skills. Documentation: Prepare and maintain technical documentation for the developed features and modules. Required Skills and Qualifications Educational Background: Bachelors or Masters degree in Computer Science, Information Technology, Electronics, or a related field. Technical Skills: Strong knowledge of front-end technologies: ReactJs and Angular. Strong knowledge of back-end technologies: Java and Python. Strong knowledge of JavaScript; familiarity with TypeScript and Velocity scripting is a plus. Familiarity with databases: MongoDB, PostgreSQL, and MySQL. Experience with version control systems like Git. Exposure to AI, Agentic AI, AI/ML, Data Mining, and Data Analysis is a plus. Soft Skills: Strong problem-solving and analytical skills. Eagerness to learn and adapt to new technologies and processes. Excellent communication and teamwork abilities. Interested candidates can apply here or send their resume to [himadhaatri.natuva@kellton.com].

About Us Work with the World of Talent. Global, culturally diverse, inclusive, and innovative - welcome to AMS, where talent is our world. Over the last two decades, AMS has redefined the landscape of talent outsourcing and consulting. From pioneering the concept of RPO to continually revolutionizing how organizations approach talent acquisition, AMS stands as a world leader in the industry. Committed, engaged, and inspired, we feel a real sense of belonging, and all have one thing in common: a real passion for talent. Become part of this world and make a difference with us. https://www.weareams.com/ The Role At AMS, talent is our world and now, we're expanding that world with a fresh perspective. Our newly established Insights & Intelligence team is a global group of innovators and data experts, dedicated to revolutionising talent services through the power of data. Together, we uncover our clients' unique needs and translate them into actionable insights, empowering Talent Acquisition teams to excel. he Specialist Data Mining plays a key role in ensuring the availability and accuracy of comprehensive data sets by collecting, cleaning, and processing relevant client operational data, AMS aggregate data, external market data, and other trusted sources. This position is instrumental in enhancing data mining practices through the adoption of best practices, advanced technologies, and innovative techniques. Role & Responsibilities Implementing automation tools to streamline the data collection process and increase efficiency Following standardization guidelines, creates procedures for extracting data from identified sources, ensuring consistency and reliability. Conducting validation checks to confirm the integrity and accuracy of the cleaned data before it is made available for analysis Refining and optimizing statistical models and reports based on performance evaluations Skills & Experience Minimum 3 years of experience in Data Mining. Technical skills: Data Modelling, VBA, Macros, SQL, Power Query, Power Apps, SharePoint Development, Data Visualization and Data Cleansing. Experience interpreting complex data sets and presenting insights to both technical and non-technical stakeholders Extensive experience in identifying, gathering, and integrating internal and external data sets Experience in ensuring data quality by handling and addressing missing values and inconsistencies Why AMS? At AMS, we recognize the value of different perspectives and experiences in prompting innovation, sparking creativity, and solving problems. We come from every walk of life, and our culture is open and inclusive. Our people enjoy flexibility, autonomy, and being trusted to work their way. We offer you career opportunities in every direction you want to explore. Its our world but you can do it your way. We offer: Full training and support High value and challenging work A vibrant, diverse, and collaborative culture Flexible working A competitive reward and benefits package* *Details may vary slightly depending on your location, local labour law, etc. Our culture of inclusion and belonging. We welcome applications from people of all backgrounds, and all aspects of employment are based on merit, qualifications, and business needs. We do not discriminate based upon age, disability, gender identity, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, or any other applicable legally protected characteristic. Hit the Apply now button to get your journey started!

The Global Data Insights and Analytics (GDIA) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization.The candidate should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Masters degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. Proficient in querying and analyzing large datasets using BigQuery on GCP. Strong Python skills for data wrangling and automation. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years experience in SQL programming language and relational databases. Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making by FCSD business team Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

Transforming the Future of Enterprise Planning At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach By integrating siloed planning capabilities and capturing millions even billions in value leakage, we help businesses plan smarter and faster This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains What you ll do for us The responsibilities include end-to-end o9 solution design, configuration, implementation, data analytics, testing of solution and communication with internal and external stakeholders Design End to end solution design, configuration, implementation, data analytics, testing of solution and communication with internal and external stakeholders Participate in process and business requirements sessions with client and document to-be business process leveraging industry best practices Work with clients to identify and collect data, such as historical sales, shipment, inventory, logistics, and other operations / supply chain data from sources like databases, Excel sheets, emails, and others Ability to convert business logic to technical platform design, including knowledge of platform infrastructure Configuration Work closely with architects and directors to develop clear functional and technical design, document data requirements, and build complex datasets Configure a technical specification document and tool configuration in the o9 platform, as per the design, to solve deep operations / supply chain problems and institute rigorous performance monitoring systems Data Analytics Use mathematical models, predictive methods, statistical techniques, optimization algorithms and simulations to analyze, manipulate and interpret large enterprise data and provide business insights and data visualization to the client management Be proficient in statistical and optimization tools and programming languages to conduct data integration through extraction, transformation, and loading (ETL) and create models to generate time series forecasts and operational plans Testing Work with internal Research and Development teams to resolve solution gaps and deploy fixes in the customer environment Create and execute workflow and data analytics test-cases, document issues, and track progress at resolving issues Ability to design and implement a testing protocol, with support from junior analysts, with the end goal of automating testing Communication Work with client, cross-functional teams, and IT and business stakeholders, to ensure successful planning and execution of projects Plan, develop and deliver Super User and End User training, for a global user base Mentor junior analysts to familiarize them with technical and business aspects of a project What you ll have Education: Master s Degree required with 1 year of experience or Bachelor Degree with 3 years experience Degrees in the following fields: in Operations Research, Industrial Engineering, Engineering Management, Business Analytics or related fields with a concentration in operations or analytics Experience: implementing supply chain planning solutions or working in the supply chain/ logistics organization Experience presenting on complex topics in a clear, concise, and easily understood manner Firsthand experience leading, or assisting a team, through the full lifecycle of a supply chain planning solution implementation including business requirement gathering, solution design development, UAT/SIT, go-live/cutover and value realization is preferred Experience using agile methodology to deliver large scale enterprise implementations Skills: Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is preferred Knowledge of spreadsheets and software (Microsoft Excel, Google Sheets), document processing (Microsoft Word, Google Docs), presentation (Microsoft PowerPoint) is required Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, T-SQL or similar is required Strong analytical techniques, data mining knowledge and proficiency in handling and processing large amounts of data is preferred Ability to identify key insights and critical thinking to prioritize and focus on the highest value opportunities or the biggest risks is preferred More about us Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore Munich, Toronto More about us At o9, transparency and open communication are at the core of our culture Collaboration thrives across all levels hierarchy, distance, or function never limit innovation or teamwork Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations With a $37 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility By automating millions of decisions and reducing manual interventions by up to 90%, we empower enterprises to drive profitable growth, reduce inefficiencies, and create lasting value o9 is an equal-opportunity employer that values diversity and inclusion We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process Join us as we continue our growth journey!

About Us At ANZ, were shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers. About the Role Automation Centre team s primary objective is to drive efficiencies across various Divisions including Commercial, Banking Services, Institutional Operations, Customer Service Operations - AU and NZ and Support Functions at the Bengaluru Group Capability Centre (GCC) and collaborate with other functions in-countries on larger transformational initiatives of the bank. The team is focused on delivering value through application of AI, RPA, Process Modelling, Process mining, Data Analytics and so on. The Automation Centre is at the forefront of transforming operational efficiency and customer experience through automation. This role is critical in bridging the gap between business process discovery and automation delivery. It ensures that opportunities are not only identified but also translated into scalable, value-driven solutions. The role is designed to lead discovery squads, own the automation product roadmap, and drive delivery outcomes that align with enterprise priorities Automation Centre: This role reports to Portfolio lead - Process Discovery and is required to work closely with Business units across Enterprise to drive efficiency and value. While working on special initiatives this role would need to interact with teams across geographies. This role requires the staff to have exposure on Agile/Project Management practices including stakeholder engagement, change management, reporting and governance. Banking is changing and we re changing with it, giving our people great opportunities to try new things, learn and grow. Whatever your role at ANZ, you ll be building your future, while helping to build ours. Role Location: Bengaluru Role Type: Permanent What will your day look like As a Lead, you will: Start with a stand-up with discovery and delivery squads, reviewing progress on L1-L3 assessments and backlog grooming. Join a scoping session with architects and SMEs to validate feasibility and align on solution direction. Review JIRA boards and tollgate readiness for in-flight initiatives, ensuring all artifacts and approvals are in place. Participate in a governance forum or steering committee, presenting benefit realization metrics and delivery updates. End the day with a sync with the Automation Centre LT, aligning on portfolio priorities, funding gaps, and Gen AI integration. Youll also foster the value of data mining capabilities and build a community of practice, rapidly iterate data pipelines with considerations for security and data governance and conduct monthly audits to manage data loss risks effectively. Process Discovery Leadership Lead and manage end-to-end process discovery initiatives by collaborating with Operations and various stakeholders. Facilitate value stream mapping workshops, interviews, and data analysis to uncover process inefficiencies and improvement opportunities. Collaborate with Technology Architecture and Delivery cadence for DVF assessment (Desirability, Viability and Feasibility) Participate in various Business forums to present discovery outcomes, cost-benefits, funding and delivery plans for prioritization into delivery. Product Ownership Delivery Oversight Define and prioritize product backlogs in alignment with business goals. Work closely with delivery squads (engineering, design, QA) to ensure timely and high-quality delivery. Translate business requirements into user stories and acceptance criteria. What will you bring To grow and be successful in this role, you will ideally bring the following: Strong background in intelligent business process management, including discovery, process mining, modelling, analytics, and continuous improvement incl Black belt certification in Lean Six Sigma Skilled in value stream mapping workshops to uncover automation opportunities and drive operational efficiency. Comfortable presenting in governance forums or steering committees, with a focus on benefit realization metrics and delivery progress. Proven experience in AI and Automation delivery including Workflow and Automation, and GenAI. Good to have knowledge, skills and experiences Experience with process mining tools (e.g., Apromore, Celonis, UiPath Process Mining). Exposure to Process Re-engineering, Advanced Robotics, GenAI use cases. Strong Change and Risk management capabilities, with experience in driving adoption across business units. Ability to work across global teams, navigating cultural and organizational complexity. Qualifications 10+ year experience in automation delivery (workflow, RPA/RDA, document digitisation, ML, AI) and/or intelligent business process management (discovery, mining, modelling, analytics and improvement, qualification in Lean/Six Sigma) Bachelor s degree in Engineering, Business, or related field. Certified Scrum Product Owner (CSPO/PSPO) or equivalent preferred. Additional certifications in Lean Six Sigma, RPA, or Process Mining are advantageous. You re not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we d love to hear from you. So why join us ANZ is a place where big things happen as we work together to provide banking and financial services across more than 30 markets. With more than 7,500 people, our Bengaluru team is the banks largest technology, data and operations centre outside Australia. In operation for over 33 years, the centre is critical in delivering the banks strategy and making an impact for our millions of customers around the world. Our Bengaluru team not only drives the transformation initiatives of the bank, it also drives a culture that makes ANZ a great place to be. Were proud that people feel they can be themselves at ANZ and 90 percent of our people feel they belong. We want to continue building a diverse workplace and welcome applications from everyone. Please talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirements, let us know how we can provide you with additional support. To find out more about working at ANZ visit https://www.anz.com/careers/ . You can apply for this role by visiting ANZ Careers and searching for reference number 99028. Job Posting End Date 20/06/2025 , 11.59pm, (Melbourne Australia)

Are you interested in helping build world-class solutions for Amazons Rest Of World (ROW) supply chainDo you want to deliver products at scale that influence planning/forecasting of complex supply chain networks across ROW countriesAmazon s ROW (Rest of World) Supply Chain Analytics team is looking for a talented Data Scientist with leadership skills, proven ability to develop, enhance, automate, and manage analytics models using strong quantitative skills. To be successful in the role, you will need to have strong data mining and modeling skills and be comfortable facilitating ideation and working from concept through to execution. You will build tools and support structures needed to analyze data, dive deep into data to determine root cause and present findings to business partners to drive improvements. You will work in a fast-paced environment that requires you to be detail-oriented and comfortable in working with multiple business and technical teams. This position is located at Bangalore, IN. Development of scalable data science solutions to audit and optimize supply chain planning/forecasting Development and execution of analytical tools to model our networks (transportation, first-mile etc). Contribute to the strategy for forecasting/planning, prioritize technical and operational initiatives, evaluate and set stakeholders expectations. 2+ years of data scientist experience 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company

We are looking for a Business Intelligence Engineer in the Amazon Grocery Data and Tech. As a Business Intelligence Engineer, you will be responsible for execution of rapidly evolving complex demands, design, development, testing, deployment and operations of multiple analytical solutions. You will be responsible for delivering some of our most strategic analytics initiatives. You will create insights that support all of Amazon s grocery businesses and have a significant impact on Amazon s top-line and competitive position. A successful candidate will bring deep technical expertise, strong business acumen and judgment, ability to define ground breaking products, desire to have an industry wide impact and ability to work within a fast-moving environment in a large company to rapidly deliver services that have a broad business impact. They will define metrics to measure business performance and drive efficiency improvements. About the team Amazon Grocery Data and Technology (GDT) team is the central data team for Amazon Grocery, consisting of engineering teams (BIEs/DEs/SDEs). We are the direct owner of (a) Infrastructure and services used for reading, processing, reporting and enrichment of grocery data; (b) Productivity tools; (c) Reporting solutions for worldwide 1P and 3P customers across the following businesses: Amazon Fresh Grocery (AFG), Whole Foods Market (WFM), Amazon Go, Amazon Grocery Partners, etc. 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Introduction We believe that every candidate brings something special to the table, including you! So, even if you feel that you re close but not an exact match, we encourage you to apply. We d be thrilled to receive applications from exceptional individuals like yourself. Gallagher, a global industry leader in insurance, risk management, and consulting services, boasts a team of over 50,000 professionals worldwide. Our culture, known as The Gallagher Way,is driven by shared values and a passion for excellence. At the heart of our global operations, the Gallagher Center of Excellence (GCoE) in India, founded in 2006, upholds the values of quality, innovation, and teamwork. With 10,000+ professionals across five India locations, GCoE is where knowledge-driven individuals make a significant impact and build rewarding, long-term careers. Overview We are seeking a data scientist to join our Data Analytics team to help us make better business decisions based on our data. The ideal candidate will have a working knowledge of statistics, AL / ML algorithms, mathematics, and data science programming languages (e.g., SQL, R, and Python). Your primary responsibilities will be performing statistical analyses, exploratory data analysis, data research, study the data thoroughly, running custom SQL queries, and identifying patterns and trends that can improve our products and services efficiency and usability. Should be able to work as an individual contributor and provide robust insights, analysis and analytical reporting to interpret results and inform key business areas on trends and business insights. Maintain good relationship with stakeholders. Should be proactive to learn new skills per business requirement. Familiar with extraction of relevant data, cleanse and transform data into insights that drive business value, through use of data analytics, data visualization and data modeling techniques. How youll make an impact Statistical analysis : Identify patterns in data. This includes having a keen sense of pattern detection and anomaly detection. Artificial Intelligence Machine learning Techniques: Expert level knowledge on AI / ML techniques. Implement algorithms and statistical models to enable a computer to automatically learn from data. Strong knowledge of Python R, MS Azure ML Studio, AWS, or Google Cloud. Knowledge of data science toolkits such as R, NumPy, and MatLab. Computer science : Apply the principles of artificial intelligence, database systems, human/computer interaction, numerical analysis, and software engineering. Programming : Write computer programs and analyze large datasets to uncover answers to complex problems. Data scientists need to be comfortable writing code working in a variety of languages such as Python, Java, R, and SQL. Data storytelling : Communicate actionable insights using data, often for a non-technical audience. Analytical thinking . Find analytical solutions to abstract business issues. Business intuition : Connect with stakeholders to gain a full understanding of the problems they re looking to solve. Interpersonal skills: Communicate across a diverse audience across all levels of an organization. Critical thinking : Apply objective analysis of facts before coming to a conclusion. Inquisitiveness : Look beyond what s on the surface to discover patterns and solutions within the data. Perform data mining, exploration, and analysis. Ability to store and process unstructured data with NoSQL databases and machine learning models Design, train, and implement machine learning algorithms. Strong attention to detail and accuracy of output. Advanced knowledge of SQL and Excel. Strong Data Visualization skills preferably MS PowerBI. Keeping up to date with the latest tools and trends. Excellent verbal and written Communication skills Leverage predictive models to optimize customer experiences. Creating automated anomaly detection. About you Technical Bachelor s Degree. Preferably in statistics, computer science, mathematics, or engineering. 3+ year of relevant experience. Strong domain knowledge. Should be ready work in shifts. Additional Information We value inclusion and diversity Inclusion and diversity (ID) is a core part of our business, and it s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the commu nities where we live and work. Gallagher embraces our employees diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out Th e Gallagher Way to its fullest. Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color , religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as protected characteristics ) by applicable federal, state, or local laws. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business. ","

Introduction We believe that every candidate brings something special to the table, including you! So, even if you feel that you re close but not an exact match, we encourage you to apply. We d be thrilled to receive applications from exceptional individuals like yourself. Gallagher, a global industry leader in insurance, risk management, and consulting services, boasts a team of over 50,000 professionals worldwide. Our culture, known as The Gallagher Way,is driven by shared values and a passion for excellence. At the heart of our global operations, the Gallagher Center of Excellence (GCoE) in India, founded in 2006, upholds the values of quality, innovation, and teamwork. With 10,000+ professionals across five India locations, GCoE is where knowledge-driven individuals make a significant impact and build rewarding, long-term careers. Overview Catastrophe Modelers quantify catastrophe loss potential of risk exposures carried by different entities, especially Insurers. The incumbent will be responsible for modeling insurance exposures for large, complex insurance books having complex insurance and/or reinsurance terms using leading catastrophe models like RMS RiskLink, AIR Touchstone, CoreLogic RQE as well as proprietary WTW models. This includes preparing the data for analysis, data scrubbing as well as data mining, generating probabilistic loss estimates using catastrophe models, creating and visualizing exposure and loss summaries, conducting loss feasibility studies to validate modeled losses, estimating the impact of model change, optimizing the reinsurance structure, etc. It also includes serving as the epicenter of all modeling action by coordinating between different offices and stakeholders in order to ensure modeling and client satisfaction goals are met. The ability to lead modeling efforts for top clients and finding innovative and bespoke solutions to complex problems is a key expectation at this level. The candidate is expected to use very advanced Catastrophe Modeling expertise in order to tackle any kind of challenge and guide other team members as and when needed. The right candidate should be skilled at training junior analysts and reviewing their work. Project planning/management and complex problem solving are some of the key skills needed in this role. The incumbent will be expected to continuously upskill themselves and do value add to the process/projects on a consistent basis. The candidate is expected to work on projects that include dynamic deliverables with shifting timelines, involving multiple stakeholders. The models and technology are also continuously evolving. As such, the candidate should display great alacrity and agility and should be an excellent team player who can adapt to changing circumstances and the dynamic nature of demands/challenges. The incumbent will be responsible for leading renewal, intermittent and RFP modeling on highly complex accounts; the modeling span typically ranges from 6 weeks for entry level accounts for this position to 6 months for top accounts. How youll make an impact Model input preparation - Includes data preparation as well as data scrubbing using SQL/Excel. Analyzing the exposures - Includes geocoding the exposures, implementing modeling assumptions accurately in the modeling process, ensuring correct model and peril settings, etc. in order to quantify insurers catastrophe loss potential. Generating reports - Includes using internal tools like iFM, WorkFlowManager for creating exposure as well as loss summary reports, visualizing various statistics by creating maps using SpatiaKey, ArcGIS, etc. Running proprietary models - Running customized peril analysis using WTW proprietary models. Model Sensitivity Analysis - Testing the change in model output with change in input parameters. Answering SRQ - using internal tools and modeled losses for answering Natural Catastrophe as well as Terrorism portions of SRQs. Validating losses - conducting loss feasibility studies to validate modeled losses. Model change management - stay updated with changes in models and conduct studies to estimate the impact on modeled client losses. Leading RFPs - Utilize the extensive modeling experience in leading RFPs where prospects usually do not share any data. Optimizing reinsurance - Model different reinsurance structures to identify the optimum structure in order to maximize client profitability. Mentoring - Mentor specific junior analysts in the team dedicatedly in order to minimize their learning curve. Training - Participate in training programs in order to train new recruits. Knowledge share - Conduct regular knowledge share sessions within and/or outside the team Leading eVENT Response - help coordinate the live eVENT response, generating reports and managing client interactions on timely basis discuss the progress made as well as any items of significance seek feedback and suggestions discuss project plan and resource allocation discuss the progress made as well as any items of significance seek feedback and suggestions share insights into modelled losses and reports act as the main coordinator between multiple stakeholders About you Graduate/Post-Graduate in any Quantitative Discipline, preferably, but not limited to, Mathematics / Statistics / Economics , Engineering, etc. Experience Senior Analyst 6 to 8 years Additional Information We value inclusion and diversity Inclusion and diversity (ID) is a core part of our business, and it s embedded into the fabric of our organization. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the commu nities where we live and work. Gallagher embraces our employees diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out Th e Gallagher Way to its fullest. Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color , religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as protected characteristics ) by applicable federal, state, or local laws. Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business. ","

We are looking for a detail-oriented and resourceful Data Miner to support our lead generation team by identifying and extracting high-quality prospect data. The ideal candidate will use tools like LinkedIn Sales Navigator, Apollo, and other B2B databases to build accurate lead lists aligned with our target industries and regions. Key Responsibilities: Identify target companies and decision-makers based on provided criteria (industry, region, designation, etc.). Extract, validate, and enrich data using tools like LinkedIn Sales Navigator, Apollo, ZoomInfo, etc. Maintain and update structured lead lists in spreadsheets or CRM tools. Collaborate closely with BDEs/Managers to understand lead quality and adjust sourcing strategies accordingly. Ensure accuracy and completeness of contact data, including email, phone, and LinkedIn profiles. Conduct basic research on company size, revenue, tech stack, or relevant triggers to enhance prospecting intelligence. Requirements: 1 3 years of experience in data mining, lead generation, or B2B research roles. Hands-on experience with tools like LinkedIn Sales Navigator, Apollo, Crunchbase, ZoomInfo, etc. Proficient in Excel/Google Sheets and data formatting. Strong attention to detail and ability to meet tight deadlines. Good understanding of B2B and B2C sales funnels and ideal customer profiles (ICPs). Prior experience supporting tech or service sales (preferred). Break Free from Manual Chaos: Digitize Your Freight Operations

Job Description Diagnose model performance issues; research, implement and test alternative options; prepare analyses; and deploy solutions. Conduct complex statistical analyses of real estate, mortgage, and insurance related data. Apply machine learning and data mining techniques to discover patterns from large and complex datasets. Make forecasts and predictions based on modeling and analysis of multiple economic and human factors. Prepare and maintain programs and documentation for models. Perform modeling and analysis using various data mining, machine learning, statistical, and mathematical techniques. Drive the re-engineering of current production models and their prototypes as needed. Lead and manage quantitative and qualitative research projects independently. Assess and communicate research results to internal stakeholders. Understand business requirements and conceptualize analytic solutions to those business problems. Regularly engage cross functional teams to research, define, and implement analytic solutions within a broad business function. Troubleshoot and drive solutions on a wide variety of highly complex problems. Research and test GenAI best practices and solutions for emerging issues, as appropriate. Job Qualifications Masters degree in Economics, Mathematics, Computer Science, Data Science, Machine Learning, Statistics, Physics or related field. At least 8 years industry or academic experience in AI, machine learning techniques, data mining, statistical modeling and/or pattern recognition model building for clients on real world problems Proficiency in network analysis and graph theory is a plus Experience building and maintaining models in a cloud environment Proficiency in at least one of the following programming languages: Python, Java, R, C++, Scala Must have big data expertise, such as Spark, Hadoop, Hive, etc. Experience integrating GenAI into production solutions a plus. Team player, willing to assist and jump into a project at any point as needed Detail oriented; strong presentation skills, experienced with client interaction. Ability to communicate effectively and in a professional manner to key stakeholders and explain business needs to technical personnel. Solid interpersonal skills. Must be able to communicate clearly to partners and colleagues verbally and in written form. Able to manage multiple, complex projects simultaneously. Able to effectively present analytic insights and modeling techniques internally and externally.

Job Details Position: Email Marketing Specialist (Data Extraction + Bulk Emailing) Job Mode: Work From Home Salary: Rs. 15,000 - Rs. 20,000 Per Month + Incentives Timings: 11 am to 8.30 pm (Monday to Friday) Week offs: Saturday & Sunday are fixed week offs Role & responsibilities We are seeking a highly motivated and detail-oriented Email Marketing Specialist to join our dynamic team. As a Email Marketing Specialist, you will play a crucial role in gathering, analyzing, and interpreting data to provide actionable insights that will drive our business growth. Your primary responsibility will be to conduct in-depth market research, identify potential leads, and run effective campaigns to support our sales and marketing efforts. Proficiency in using internet tools like Apollo.io, RocketReach, and other similar platforms is essential for success in this role. 1. Conduct In-Depth Market Research: Analyze market data and industry trends Identify potential leads and target markets 2. Lead Generation: Utilize tools like Apollo.io, RocketReach, LinkedIn & other resources to identify and qualify potential leads Build and maintain a high-quality lead pipeline 3. Campaign Management: Plan and execute marketing campaigns Monitor and optimize campaign performance 4. Data Analysis: Extract actionable insights from research data Provide reports and recommendations to support decision-making Preferred candidate profile 1-3 years of experience in Email Marketing/ Data extraction or a similar role. Proficiency in internet research and lead generation tools. Familiarity with CRM. Excellent verbal and written communication skills Strong organizational and time management abilities.

The Global Data Insights and Analytics (GDI&A) department at Ford Motors Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The candidate should possess the ability to translate a business problem into an analytical problem, identify the relevant data sets needed for addressing the analytical problem, recommend, implement, and validate the best suited analytical algorithm(s), and generate/deliver insights to stakeholders. Candidates are expected to regularly refer to research papers and be at the cutting-edge with respect to algorithms, tools, and techniques. The role is that of an individual contributor; however, the candidate is expected to work in project teams of 2 to 3 people and interact with Business partners on regular basis. Masters degree in computer science, Operational research, Statistics, Applied mathematics, or in any other engineering discipline. Proficient in querying and analyzing large datasets using BigQuery on GCP. Strong Python skills for data wrangling and automation. 2+ years of hands-on experience in Python programming for data analysis, machine learning, and with libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, PyTorch, NLTK, spaCy, and Gensim. 2+ years of experience with both supervised and unsupervised machine learning techniques. 2+ years of experience with data analysis and visualization using Python packages such as Pandas, NumPy, Matplotlib, Seaborn, or data visualization tools like Dash or QlikSense. 1+ years experience in SQL programming language and relational databases. Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making by FCSD business team Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data-driven decision-making Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc. ; to analyze data and uncover meaningful patterns, relationships, and trends Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc. ; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness

& Summary At PwC, our people in strategy consulting focus on providing strategic guidance and insights to organisations. They analyse market trends, assess business performance, and develop recommendations to help clients achieve their goals. These individuals work closely with clients to identify opportunities for growth, optimise operations, and enhance overall business performance. As a corporate and business strategy consultant at PwC, you will analyse client needs, provide consulting services across different strategic areas, and offer guidance and support to help clients develop and implement effective strategies that align with their business objectives and drive growth. & Summary PwC actively works as a management advisor to leading telecommunications and IT market players across the value chain, including fixed, cable and convergent service providers,mobile operators, tower operators telecom regulators, industry bodies etc. Our Management Consulting TMT practice in India focuses on bringing together our Indian and global network resources around our clients needs, creating teams to help respond to challenges around almost every dimension of their business. Our clients are majorly spread across India, Africa, Middle East and South East Asia. Roles & Responsibilities As a Management Consulting professional specializing in the TMT domain, the candidate will play a vital role in advising our clients on leveraging the potential of their networks and to drive innovation, gain a competitive edge, and capture new market opportunities. He/she will work closely with senior executives and stakeholders, providing strategic counsel and datadriven insights to shape their network strategies. Typical roles and responsibilities for the role are as below Understanding of the leading data analytics systems such as tableau, power BI, Alteryx, python, Qlik etc. with proven track record of delivering analytics solutions such as data strategy, data modelling, monetization and architecture to clients in the telecommunications and technology sector across India and global markets. Understand and define the business problems and cocreate the proposed solution leveraging latest trends within AL and ML . Leverage essential knowledge of the leading practices in the industry to develop project scope and approach to solve client problems When tailoring the key responsibilities for a Data Models Expert in the context of supply chain and asset lifecycle management transformation in ERP environments, particularly with telecommunicationsspecific experience, its important to focus on both general data modeling skills and telecom industry nuances. Below are example key responsibilities that you might include in a job description Data Models Design Develop and maintain comprehensive data models tailored to support supply chain and asset lifecycle management processes within ERP systems, focusing on telecommunications industry requirements. Entity Relationship Diagrams (ERD) Create detailed ERDs that accurately represent the relationships between data entities, ensuring alignment with business processes and compliance with industry standards. Logical Data Models Design logical data models that define the structure and organization of data within ERP systems, optimizing for efficiency and scalability in telecom operations. TelecommunicationsSpecific Integration Ensure data models effectively integrate with telecommunicationsspecific ERP modules, such as network inventory management and customer relationship management. CrossFunctional Collaboration Work closely with supply chain, asset management, and IT teams to gather requirements and translate them into effective data model designs that address both business and technical needs. Data Governance Establish and enforce data governance policies to ensure data quality, consistency, and security across supply chain and asset lifecycle management processes. Process Optimization Analyze existing supply chain and asset management workflows to identify opportunities for improvement, leveraging data models to streamline operations and enhance decisionmaking. Stakeholder Engagement Engage with business stakeholders to understand their needs and provide insights on how data modeling can support organizational objectives and strategic initiatives. Documentation Maintain comprehensive documentation of data models, ERDs, and related processes to facilitate ongoing maintenance and support. Industry Best Practices Stay updated on telecommunications industry trends and best practices in data modeling and ERP integration, applying this knowledge to enhance data models and processes. Training and Support Provide training and support to endusers and technical teams on new data models and ERP functionalities, ensuring effective adoption and utilization . These responsibilities emphasize the importance of industryspecific expertise , collaboration, and continuous improvement in the context of ERP systems for telecommunications. Adjust the wording and details to suit the specific organizational needs and job level (e.g., junior, senior) as necessary. Perform quantitative and qualitative analysis including data mining, analysis, visualization, perform market and secondary research to collect business intelligence and insights Develop use cases for enterprise businesses using large data sets and understanding of GenAI and automation use cases Work collaboratively with the team in developing project deliverables meeting PwCs client service and quality standards Stay abreast of industry developments, regulatory changes, and competitive dynamics impacting telecommunication networks, and incorporate this knowledge into client engagements. Contribute to business development opportunities by proactively Willing to travel internationally and work on site 5070% of the time at client locations. Mandatory skill sets Deep knowledge of the leading data analytics systems along with AL and ML Expertise in data strategy , modelling, mining and other analytics solutions Familiarity with telecommunication industry trends preferred Excellent problemsolving abilities, with a strategic mindset and the capacity to think critically and creatively. Excellent communication and presentation skills, with the ability to articulate technical concepts to nontechnical audiences. Ability to thrive in a fastpaced, dynamic environment, managing multiple projects with competing priorities effectively. A passion for continuous learning, innovation, and staying ahead of TMT industry trends. Preferred skill sets Proven experience in management consulting, with a focus on telecommunication networks and technology. Advance working knowledge of with MSOffice tools (Visio, Excel, Power Point, and other tools). Advance working knowledge with tools such as MySQL, Alteryx, python, Power BI, tableau etc. Bachelors degree in Telecommunications, Electrical Engineering, Computer Science, Statistics or a related field. Advanced degree (e.g., MBA) preferred. Years of experience required 6 + years of relevant experience in data and analytics domain Education qualification Bachelors degree in Telecommunications, Electrical Engineering, Computer Science, Statistics or a related field. Advanced degree (e.g., MBA) preferred. Education Degrees/Field of Study required Master of Business Administration Degrees/Field of Study preferred Required Skills Data Transformation Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Analysis, Business Opportunities, Business Process Consulting, Business Process Improvement, Business Strategy, Business Transformation, Coaching and Feedback, Communication, Competitive Advantage, Competitive Analysis, Conducting Research, Consumer Behavior, Creativity, Customer Experience (CX) Strategy, Customer Insight, Customer Strategy, Data Analytics, Embracing Change, Emotional Regulation, Empathy, GotoMarket Strategies {+ 19 more} Travel Requirements Government Clearance Required?