1830 Data Mining Jobs - Page 35

Primary Responsibilities: Apply advanced statistical techniques, data science methodologies, and AI practices, including generative AI using GPT models Design, develop, and implement cutting-edge generative AI models and systems Perform data mining, cleaning, and aggregation to prepare datasets for analysis Manage and query data while ensuring high standards of data quality and integrity Communicate complex insights through compelling data storytelling and visualizations using Power BI Leverage ML Ops practices to deploy and manage machine learning models in production environments Collaborate in an agile team setting, actively participating in sprint planning, reviews, and retrospectives Adhere to company policies, employment terms, and evolving business directives, including flexibility in work location, team assignments, and work arrangements Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: 5+ years of experience in data science with a strong foundation in machine learning, statistics, and data science methodologies 1+ years of hands-on experience applying AI to real-world technology solutions Experience fine-tuning LLM hyperparameters and optimizing model configurations for performance and client impact Hands-on experience with ML Ops and deploying models in production Familiarity with embeddings and other advanced data science techniques Proficiency in Python, TensorFlow, NLP, and deep learning frameworks Demonstrated ability to collaborate with cross-functional teams to prototype, build, test, and scale GenAI/LLM-powered solutions Solid background in REST API development, NoSQL and RDBMS design, and performance optimization Proficiency in cloud platforms such as GCP, Microsoft Fabric, Azure Stack, and Azure ML Proven expertise in generative AI and GPT-based model development Proven advanced skills in data storytelling and visualization using Power BI Proven excellent communication and collaboration skills, especially with non-technical stakeholders Proven agile mindset with a proven ability to contribute effectively in agile teams Preferred Qualifications: Master’s degree in Data Science, Statistics, Computer Science, or a related field Experience working with healthcare data and a solid understanding of the healthcare industry At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. #Nic External Candidate Application Internal Employee Application

Role & responsibilities We are seeking a talented and self-motivated Data Science and Analytics Individual Contributor to join our Vehicle Technology team. This role is perfect for a highly skilled professional who excels in data science, data visualization, Python programming, and the creation of data pipelines for ETL (Extract, Transform, Load) processes. The individual in this position will play a pivotal role in shaping our data-driven decision-making processes and contributing to the success of the company. 1. Data Analysis and Exploration: Conduct thorough data analysis to uncover actionable insights and trends. Collaborate with cross-functional teams to define data requirements and extract relevant data. 2. Data Visualization: Create visually compelling and informative data visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). Develop interactive dashboards to present insights in an accessible and understandable manner. 3. Machine Learning and Predictive Modeling: Build, validate, and deploy machine learning models to solve business problems and predict outcomes. Optimize and fine-tune models for accuracy and efficiency. 4. Python Programming: Develop and maintain Python scripts and applications for data analysis and modeling. Write clean, efficient, and well-documented code for data manipulation and analytics. 5. ETL Pipeline Creation: Design and implement ETL pipelines to extract, transform, and load data from various sources into data warehouses. Ensure data quality, consistency, and accuracy within ETL processes. Enforce data governance best practices to maintain data quality, security, and compliance with industry regulations. Collaborate with IT and Data Engineering teams to optimize data storage and access. Work closely with cross-functional teams to understand business requirements and provide data-driven solutions. Effectively communicate findings and insights to both technical and non-technical stakeholders. Preferred candidate profile Proven experience in data science, data analysis, and predictive modeling. Proficiency in Python programming, data manipulation, and relevant libraries. Strong experience with data visualization tools (We prefer Power BI). Knowledge of ETL processes and pipeline creation. Familiarity with machine learning techniques and frameworks. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience with SQL and database management. Knowledge of CANBus protocol is a plus

Role & responsibilities We are seeking a talented and self-motivated Data Science and Analytics Individual Contributor to join our Vehicle Technology team. This role is perfect for a highly skilled professional who excels in data science, data visualization, Python programming, and the creation of data pipelines for ETL (Extract, Transform, Load) processes. The individual in this position will play a pivotal role in shaping our data-driven decision-making processes and contributing to the success of the company. 1. Data Analysis and Exploration: Conduct thorough data analysis to uncover actionable insights and trends. Collaborate with cross-functional teams to define data requirements and extract relevant data. 2. Data Visualization: Create visually compelling and informative data visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). Develop interactive dashboards to present insights in an accessible and understandable manner. 3. Machine Learning and Predictive Modeling: Build, validate, and deploy machine learning models to solve business problems and predict outcomes. Optimize and fine-tune models for accuracy and efficiency. 4. Python Programming: Develop and maintain Python scripts and applications for data analysis and modeling. Write clean, efficient, and well-documented code for data manipulation and analytics. 5. ETL Pipeline Creation: Design and implement ETL pipelines to extract, transform, and load data from various sources into data warehouses. Ensure data quality, consistency, and accuracy within ETL processes. Enforce data governance best practices to maintain data quality, security, and compliance with industry regulations. Collaborate with IT and Data Engineering teams to optimize data storage and access. Work closely with cross-functional teams to understand business requirements and provide data-driven solutions. Effectively communicate findings and insights to both technical and non-technical stakeholders. Preferred candidate profile Proven experience in data science, data analysis, and predictive modeling. Proficiency in Python programming, data manipulation, and relevant libraries. Strong experience with data visualization tools (We prefer Power BI). Knowledge of ETL processes and pipeline creation. Familiarity with machine learning techniques and frameworks. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience with SQL and database management. Knowledge of CANBus protocol is a plus

Role & responsibilities We are seeking a talented and self-motivated Data Science and Analytics Individual Contributor to join our Vehicle Technology team. This role is perfect for a highly skilled professional who excels in data science, data visualization, Python programming, and the creation of data pipelines for ETL (Extract, Transform, Load) processes. The individual in this position will play a pivotal role in shaping our data-driven decision-making processes and contributing to the success of the company. 1. Data Analysis and Exploration: Conduct thorough data analysis to uncover actionable insights and trends. Collaborate with cross-functional teams to define data requirements and extract relevant data. 2. Data Visualization: Create visually compelling and informative data visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). Develop interactive dashboards to present insights in an accessible and understandable manner. 3. Machine Learning and Predictive Modeling: Build, validate, and deploy machine learning models to solve business problems and predict outcomes. Optimize and fine-tune models for accuracy and efficiency. 4. Python Programming: Develop and maintain Python scripts and applications for data analysis and modeling. Write clean, efficient, and well-documented code for data manipulation and analytics. 5. ETL Pipeline Creation: Design and implement ETL pipelines to extract, transform, and load data from various sources into data warehouses. Ensure data quality, consistency, and accuracy within ETL processes. Enforce data governance best practices to maintain data quality, security, and compliance with industry regulations. Collaborate with IT and Data Engineering teams to optimize data storage and access. Work closely with cross-functional teams to understand business requirements and provide data-driven solutions. Effectively communicate findings and insights to both technical and non-technical stakeholders. Preferred candidate profile Proven experience in data science, data analysis, and predictive modeling. Proficiency in Python programming, data manipulation, and relevant libraries. Strong experience with data visualization tools (We prefer Power BI). Knowledge of ETL processes and pipeline creation. Familiarity with machine learning techniques and frameworks. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience with SQL and database management. Knowledge of CANBus protocol is a plus

3+ Years of experience in Data Scientists with Python, Tensorflow and Pytorch. Experience in AI techniques (e.g., machine learning, predictive analytics. optimization, semantic analysis, time-series analysis) to real-world problems

We are looking for a highly skilled and experienced professional with 2-5 years of experience to join our team as a Mergers & Acquisitions (Chemical) Professional in the employment firm industry. Roles and Responsibility Manage and coordinate mergers and acquisitions activities, including due diligence and post-closing integration. Develop and implement strategic plans to achieve business objectives. Conduct market research and analyze industry trends to identify opportunities and challenges. Collaborate with cross-functional teams to ensure successful project execution. Identify and mitigate risks associated with mergers and acquisitions. Monitor and report on key performance indicators to senior management. Job Requirements Strong understanding of the chemical industry and its dynamics. Proven experience in mergers and acquisitions, preferably in the chemical sector. Excellent analytical, problem-solving, and communication skills. Ability to work effectively in a fast-paced environment and meet deadlines. Strong leadership and team management skills. Experience working with employment firms or recruitment services firms is an added advantage.

Key Responsibilities: Manage a team of data scientists, machine learning engineers and big data specialists Lead data mining procedures ensuring data quality and integrity. Interpret and analyse data problems and suggest workable solutions. Conceive, plan, and prioritize multiple analytical projects at a time. Build analytic systems and predictive models as required for the business needs. Monitor the model performance periodically and suggest appropriate actionable when the performance declines Experiment with new models and techniques and suggest appropriate techniques for each requirement. Run sample models as DOE/ AB testing / Champion x Challenger to test and identify business opportunity under controlled environment Align data projects with organizational goals ensuring integrity, accuracy, and timeliness of data used in building of models. Work closely with business analysts, data engineers, and other stakeholders to gather requirements and ensure alignment with business objectives. Provide support and training to end-users on automated reporting tools and processes. Required Skills and Qualifications: Education: Bachelor s degree in Data Science, Mathematics, Statistics, Business Analytics, or a related field. Advanced degrees or certifications are a plus. Experience: Experience in handling a team of 3 data scientists or above. Proficiency in programming languages such as Python or R for data interpretation and segmentation. Experience with SQL for data extraction and manipulation. Good experience in building analytical models and scorecards in lending industry. Technical Skills: Strong understanding of NBFC business, knowledge of database and data massaging methodologies. Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) is an advantage. Knowledge of scripting and automation tools (e.g., Bash, PowerShell) is beneficial. Soft Skills: Excellent analytical and problem-solving skills. Strong attention to detail and ability to work with complex datasets. Effective communication skills, both written and verbal. Ability to work independently as well as part of a team. Preferred Skills and Qualifications: Experience with advanced analytics or machine learning techniques. Familiarity with Agile or other project management methodologies. Experience in a similar industry or domain.

Key Responsibilities: Manage a team of data scientists, machine learning engineers and big data specialists Lead data mining procedures ensuring data quality and integrity. Interpret and analyse data problems and suggest workable solutions. Conceive, plan, and prioritize multiple analytical projects at a time. Build analytic systems and predictive models as required for the business needs. Monitor the model performance periodically and suggest appropriate actionable when the performance declines Experiment with new models and techniques and suggest appropriate techniques for each requirement. Run sample models as DOE/ AB testing / Champion x Challenger to test and identify business opportunity under controlled environment Align data projects with organizational goals ensuring integrity, accuracy, and timeliness of data used in building of models. Work closely with business analysts, data engineers, and other stakeholders to gather requirements and ensure alignment with business objectives. Provide support and training to end-users on automated reporting tools and processes. Required Skills and Qualifications: Education: Bachelor s degree in Data Science, Mathematics, Statistics, Business Analytics, or a related field. Advanced degrees or certifications are a plus. Experience: Experience in handling a team of 3 data scientists or above. Proficiency in programming languages such as Python or R for data interpretation and segmentation. Experience with SQL for data extraction and manipulation. Good experience in building analytical models and scorecards in lending industry. Technical Skills: Strong understanding of NBFC business, knowledge of database and data massaging methodologies. Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) is an advantage. Knowledge of scripting and automation tools (e.g., Bash, PowerShell) is beneficial. Soft Skills: Excellent analytical and problem-solving skills. Strong attention to detail and ability to work with complex datasets. Effective communication skills, both written and verbal. Ability to work independently as well as part of a team. Preferred Skills and Qualifications: Experience with advanced analytics or machine learning techniques. Familiarity with Agile or other project management methodologies. Experience in a similar industry or domain.

Key Skills : Email Marketing, Lead Generation, Data Generation, Bulk Emailing Generating leads from the International market through email marketing, Data mining, and database development using different tools. Should have sound knowledge of finding emails and validating Develop and execute online lead generation marketing plans. Acquiring IT contacts for Web-based Applications Generating leads. Identify potential clients, exploring the international market. Data searching on the internet, tracking and analyzing email campaign results. Should be able to create a campaign based on the Business rules provided. Implementing Email Marketing Campaigns. Building connections on LinkedIn for lead generation Source new sales opportunities through data mining and market research through LinkedIn and other tools Collect information through secondary research Convert those leads into sales opportunities through outbound emails if required Setting appointments for our clients sales team Achieve targets Identify opportunities to improve the effectiveness of email marketing programs or processes from in-depth knowledge of campaign management and email execution tools.

About this role: AI-focused Software Development position responsible for the architecture, implementation, design, and deployment of algorithms and Python based applications to help fulfill our Research & Consulting Delivery strategy. What you ll do: Establish methodologies for quickly rolling out new data analysis capabilities for standalone data-driven products and services to support our associates using AI, ML, and LLMs. Lead architecture and technical design discussions to ensure data science solutions align with the organizations strategic objectives. Continuously improve models through experimentation and optimization techniques. Analyze unstructured text data to discover insights and patterns using advanced data science techniques, including machine learning and natural language processing Use a combination and quantitative (science) and qualitative (art) methodologies to prioritize AI initiatives. Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption. Create Data Science packages and APIs for use across the organization Mentor junior members of the team on effective technical practices and non-technical acumen Be accountable for the scalability, stability, and business adoption of data science solutions What you ll need: 6-9 years of experience in algorithms and statistics and experience in data mining, machine learning, deep learning and natural language processing. Ability to provision packages and APIs for production data science code. Must have: Education qualification as graduate or postgraduate degree in Engineering or Data Science is required. Experience in Machine learning models and techniques like NLP, BERT, Transformers, Deep learning. Experience using LLMs (e.g., OpenAI, Cohere, Anthropic, Llama, etc) to deliver business outcomes. Stay on top of fast-moving AI/ML models and technologies. Understand and follow disruptive data science solutions. Evangelize new technologies and drive their adoption. Demonstrated ability to translate quantitative analysis into actionable business strategies. Ability to work collaboratively across business, data science and technical stakeholders. Who you are Graduate/Postgraduate in BE/B tech, ME/MTech or MCA are preferred. Excellent communication and prioritization skills. Able to work independently or within a team proactively in a fast-paced AGILE-SCRUM environment Owns success - Takes responsibility for successful delivery of the solutions. Ardent desire to improve upon their skills in software development, frameworks, and technologies.

We are looking for a highly skilled Data Scientist with 2 to 4 years of experience to join our team in Gurugram. The ideal candidate will have a strong background in statistics, mathematics, computer science, or another quantitative field. Roles and Responsibility Participate and collaborate with operation teams to understand business requirements and deliver scalable solutions. Conduct thorough research on state-of-the-art generative AI techniques and apply them to enhance LLM models. Create models using Classification and Regression techniques and perform Hypothesis Testing and Feature selection. Analyze user behavior, conversion data, and customer journeys to generate hypotheses and build optimization plans. Mine and analyze data from company databases to drive product development and business strategy improvements. Perform deep dive analyses on key business trends and package insights into easily consumable presentations and documents. Job Education in Statistics, Mathematics, Computer Science, or another quantitative field. Experience using computer languages (Python, SQL) to manipulate data and draw insights from large datasets. Proficiency in working with Large Language Models (LLMs), such as GPT-3, GPT-4, or similar models. Strong programming skills in Python and experience with deep learning libraries/frameworks (e.g., TensorFlow, PyTorch). Effective communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment. Familiarity with natural language processing (NLP) and understanding of various NLP tasks is a plus. Prior experience in handling LLM use cases or working with large-scale language models is highly desirable. Ensure data quality and integrity through best practices and compliance to framework, architecture, and coding standards. Experience with cloud computing platforms (preferably Azure) for deploying and managing machine learning models. Hands-on experience with generative AI models and techniques such as GANs, VAEs, and transformer models.

company name=Apptad Technologies Pvt Ltd., industry=Employment Firms/Recruitment Services Firms, experience=6 to 12 , jd= Mandatory Skills Stakeholder Management, Benefits Management, Pursuit Management, Project Financial Management, Risk/Crisis Management, Project Governance, Account Management & Mining Kyriba Treasury Consultant for Finance Team Responsibilities Lead the administration and optimization of Kyriba TMS ensuring its effective integration with Accounting ERP and Banking Systems Configure and maintain workflows reports and dashboards within Kyriba Train and support treasury team members in Kyriba functionalities Responsible for updating the system on a recurring basis to maintain the correct core data based on the changes in the business Manage banking relationships including account setup maintenance and fee optimization Monitor compliance with banking agreements and service level expectations Ensure Kyriba connectivity for new bank accounts in different countries Identify and mitigate foreign exchange interest rate credit risks and monitor derivative transactions Ensure compliance with company policies SOX and other regulatory requirements Drive automation initiatives to improve treasury processes leveraging Kyriba capabilities , Title=Kyriba Treasury Consultant, ref=6566245

We are looking for enthusiastic interns to support our data research activities. The role involves collecting, analyzing, and organizing market or business data from various online sources. Candidates must have strong attention to detail, good internet research skills, and basic Excel proficiency. Stipend: 3,000 + performance-based incentives. Ideal for fresh graduates seeking hands-on experience in a dynamic work environment.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Mumbai, Maharashtra, India; Hyderabad, Telangana, India; Bengaluru, Karnataka, India Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience 10 years of experience in Big Data, Data Warehouse, Data Modelling, Data Mining and Hadoop Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow Experience in GCP Preferred qualifications: Experience in Big Data, information retrieval, data mining, or Machine Learning Experience with IaC and CICD tools like Terraform, Ansible, Jenkins etc Experience architecting, developing software, or Big Data solutions in virtualized environments Experience with encryption techniques like symmetric, asymmetric, HSMs, and envelop Ability to implement secure key storage using Key Management System About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business ? all with technology built in the cloud Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware Our teams are dedicated to helping our customers ? developers, small and large businesses, educational institutions and government agencies ? see the benefits of our technology come to life As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners As a Data and Analytics Consultant, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform You will work on data migrations and modernization projects, and with customers to design data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges You will have an understanding of data governance and security controls, and will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers You will work with Product Management and Product Engineering teams to build and drive excellence in products Google Cloud accelerates every organizations ability to digitally transform its business and industry We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems Responsibilities Interact with stakeholders to translate customer requirements into recommendations for appropriate solution architectures and advisory services Engage with technical leads, and partners to lead high velocity migration and modernization to Google Cloud Platform (GCP) Help Google cloud customers with current infrastructure assessment, design and architect goal infrastructure, develop a migration plan, and deliver technical workshops to educate them on GCP Participate in technical and design discussions with technical teams to speed up the adoption process and ensure best practices during implementation Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Mumbai, Maharashtra, India; Hyderabad, Telangana, India; Bengaluru, Karnataka, India; Gurugram, Haryana, India Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience 10 years of experience in Big Data, Data Warehouse, Data Modelling, Data Mining and Hadoop Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow Experience in GCP Preferred qualifications: Experience in Big Data, information retrieval, data mining, or Machine Learning Experience with IaC and CICD tools like Terraform, Ansible, Jenkins etc Experience architecting, developing software, or Big Data solutions in virtualized environments Experience with encryption techniques like symmetric, asymmetric, HSMs, and envelop Ability to implement secure key storage using Key Management System About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business ? all with technology built in the cloud Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware Our teams are dedicated to helping our customers ? developers, small and large businesses, educational institutions and government agencies ? see the benefits of our technology come to life As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners As a Data and Analytics Consultant, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform You will work on data migrations and modernization projects, and with customers to design data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges You will have an understanding of data governance and security controls, and will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers You will work with Product Management and Product Engineering teams to build and drive excellence in products Google Cloud accelerates every organizations ability to digitally transform its business and industry We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems Responsibilities Interact with stakeholders to translate customer requirements into recommendations for appropriate solution architectures and advisory services Engage with technical leads, and partners to lead high velocity migration and modernization to Google Cloud Platform (GCP) Help Google cloud customers with current infrastructure assessment, design and architect goal infrastructure, develop a migration plan, and deliver technical workshops to educate them on GCP Participate in technical and design discussions with technical teams to speed up the adoption process and ensure best practices during implementation Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data Google is proud to be an equal opportunity workplace and is an affirmative action employer We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status We also consider qualified applicants regardless of criminal histories, consistent with legal requirements See also Google's EEO Policy and EEO is the Law If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form

Job Summary: We are seeking a highly motivated and detail-oriented Lead Generation Executive to support our global sales pipeline. This role is critical for identifying and validating new business opportunities across international markets. Key Responsibilities: Conduct in-depth market research to identify potential business leads and decision-makers worldwide. Extract accurate and relevant data on target companies and prospects. Rigorously validate all leads to ensure quality and relevance for the sales team. Maintain and update lead databases and CRM systems. Collaborate with the Sales and Business Development teams to refine lead qualification criteria. Stay informed about industry trends and target market segments to improve lead targeting. Required Skills: Strong research and data extraction skills. High attention to detail and ability to validate information effectively. Familiarity with lead generation processes and global B2B markets (preferred but not mandatory). Good communication skills. Ability to work independently and meet targets in a remote setup. Preferred Tools Experience (Good to Have): LinkedIn Sales Navigator ZoomInfo Apollo.io

Job Summary: We are seeking a highly motivated and detail-oriented Lead Generation Executive to support our global sales pipeline. This role is critical for identifying and validating new business opportunities across international markets. Key Responsibilities: Conduct in-depth market research to identify potential business leads and decision-makers worldwide. Extract accurate and relevant data on target companies and prospects. Rigorously validate all leads to ensure quality and relevance for the sales team. Maintain and update lead databases and CRM systems. Collaborate with the Sales and Business Development teams to refine lead qualification criteria. Stay informed about industry trends and target market segments to improve lead targeting. Required Skills: Strong research and data extraction skills. High attention to detail and ability to validate information effectively. Familiarity with lead generation processes and global B2B markets (preferred but not mandatory). Good communication skills. Ability to work independently and meet targets in a remote setup. Preferred Tools Experience (Good to Have): LinkedIn Sales Navigator ZoomInfo Apollo.io

Mapping market and businesses Define and assess synergies/business plans , Data mining Deliver in a project management environment, with multiple tasks, diverse requirements, and a broad stakeholder base Advisory Experience 2 - 4 Years Industry Corporate Planning & Strategy Management Consulting Qualification Other Bachelor Degree Key Skills Due Diligence M&A Consulting Data Mining M&A Mergers Mergers & Acquisitions Business Plans Project Management Mapping Market

Mapping market and businesses Define and assess synergies/business plans , Data mining Deliver in a project management environment, with multiple tasks, diverse requirements, and a broad stakeholder base Advisory - Experience 2 - 4 Years Industry Corporate Planning & Strategy Management Consulting Qualification Other Bachelor Degree Key Skills Due Diligence Review M&A Consulting Data Mining M&A Mergers Mergers & Acquisitions Hyderabad Project Management Consulting Mapping Market Businesses Corporate Strategy

Key deliverables : • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. • Assess the effectiveness and accuracy of new data sources and data gathering techniques. • Develop custom data models and algorithms to apply to data sets. • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. • Coordinate with different functional teams to implement models and monitor outcomes. • Develop processes and tools to monitor and analyze model performance and data accuracy. • Generate both periodic and ad hoc reports as needed. • Experience in Credit Analyst Educational Qualifications : The candidate should have a Post-Graduate/MBA degree with specialization in any stream; Or a Graduate degree with experience in Data analyst in relevant industry. Experience : An overall experience of 4-7 years in Data Analyst in Finance, Banking, Investment Banking, Fintech, Rating Agency, NBFC industry. If you love working with people and thrive in fast-paced environments, we would like to have a conversation with you. • Excellent written, verbal, and interpersonal skills to communicate effectively. • Go-getter ability to work independently • Leadership team management skills • Attention to detail

Job Requirements: Experience of 2-4 years in M&A consulting or corporate strategy delivery role overseeing large scale and strategic transformation programs. M&A experience in Chemical and Materials, Oil & Gas, Personal Care, Home Care, HI&I and other consumer serving industries will be preferable. A proven relentless attention to detail and quality Industry or consulting experience with financial reporting, transformation/strategy, or other services particularly in relation to M&A or restructuring activity Flexibility of attitude and a willingness to travel Ability to work across different time-zones with international clients

Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualizations such as graphs, charts, and dashboards. Job Description - Grade Specific The roles plays a critical role in leveraging data analysis to provide insights and recommendations to the stakeholders. Technical skills combined with consulting skills to support decision-making, drive business growth, and deliver value through data-driven insights.

Mapping market and businesses Define and assess synergies/business plans , Data mining Deliver in a project management environment, with multiple tasks, diverse requirements, and a broad stakeholder base Advisory .

Mapping market and businesses Define and assess synergies ,Data mining Deliver in a project management environment, with multiple tasks, diverse requirements, help clients position their organisations to win in an evolving, competitive marketplace.

Roles and Responsibilities Mapping market and businesses Define and assess synergies/business plans,Data mining Deliver in a project management environment, with multiple tasks, diverse requirements, and a broad stakeholder base Advisory - help clients position their organizations to win in an evolving, competitive marketplace.