1777 Data Mining Jobs

Job Description: You will be responsible for TBD. Qualifications: TBD.,

You will be responsible for generating leads through various channels such as social media, emailing, cold-calling, and meetings. You will conduct product demonstrations and create content, proposals (both technical and commercial), negotiate deals, and successfully close sales. It is essential to gather client testimonials and references to build credibility. Having a solid understanding of software sales is crucial for this role. You should possess qualities such as being poised, self-confident, assertive, with excellent convincing and selling skills. A keen business sense is required for qualifying prospects effectively, including the ability to decline inappropriate appointments. Experience in business development with US clients and international selling is preferred. Making a positive first impression to progress smoothly through the sales cycle is key to success in this position. Key Skills: - Lead Generation - Email Campaigning - Internet Research - Email Finding - Secondary Data Analysis - Data Gathering - Data Mining - Data Research If you are interested in this opportunity, kindly send your resume to careers@eternussolutions.com.,

Fashion TV India is looking for an exceptional Maverick Team Leader to lead our builder collaboration initiatives on a national and international scale. We need a dynamic leader who is relentless, assertive, and results-driven. The ideal candidate should command respect, possess a strong work ethic, and have a proven track record of getting things done. We are seeking an individual with experience in B2B leadership within the PropTech, EdTech, Agency, Channel Partner, Real Estate Mandate, or ICHP firm space. The successful candidate should have a history of achieving multi-crore targets with high-value deal sizes. Additionally, they should have demonstrated the ability to manage and motivate teams of 15+ individuals, each with crore-level targets. As the Team Leader, you will be responsible for building and leading a high-performing datamining and outreach team. Your primary focus will be on identifying and onboarding builders and developers for strategic brand licensing collaborations with Fashion TV. Through these unique partnerships, you will directly contribute to increasing the overall valuation of properties. The position is based at the Fashion TV New Office in Andheri, Mumbai. Candidates from any part of India are welcome to apply, provided they are willing to work from this location and attend face-to-face interviews. The compensation offered for this role is up to 2 Lakh in-hand monthly for the right leader. If you are a driven leader with a history of surpassing ambitious goals in the B2B PropTech and related sectors, we encourage you to apply by sharing your profile with us at rahul.p@ftv.ind.in or 7208934897. Please be informed that candidates from the builder lobby will not be considered for this position. Key Skills required for this role include strategic planning, PropTech expertise, brand licensing knowledge, team leadership, negotiation skills, outreach strategies, collaboration management, communication skills, market analysis, data mining, real estate understanding, project management experience, and a successful track record in real estate licensing.,

You will be responsible for analyzing large datasets and uncovering valuable business insights through data mining techniques. You will develop and deploy predictive models for various applications such as customer segmentation, demand forecasting, and anomaly detection. Collaboration with cross-functional teams to understand business requirements and translate them into technical solutions will be a key aspect of your role. Designing and implementing data-driven models to ensure scalability, efficiency, and accuracy is also part of your responsibilities. You will be required to perform data preprocessing and feature engineering to prepare data for analysis. Continuously monitoring, evaluating, and optimizing deployed models to improve performance will be essential. Staying current with the latest developments in machine learning and data science to implement best practices is expected. Presenting findings and recommendations clearly to both technical and non-technical stakeholders is also part of the job. To be a great fit for this role, you should have 3-7 years of experience in data science or a related role. Proven expertise in building, training, and deploying machine learning models is crucial. A solid understanding of statistical techniques, machine learning algorithms (supervised, unsupervised learning), and deep learning is required. Proficiency in Python and hands-on experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn is necessary. Strong problem-solving skills with the ability to work with large, complex datasets are also important. Excellent communication and collaboration skills to work effectively with technical and non-technical teams are a must. Experience with cloud platforms (AWS, GCP, Azure), familiarity with big data technologies (e.g., Hadoop, Spark), experience with MLOps tools and workflows, and knowledge of data visualization tools like Tableau or Power BI are considered bonus points for this role.,

Lowes is a FORTUNE 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowes operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowes supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowes India, the Global Capability Center of Lowes Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowes India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India. This role will be aligned to one Business Area and is responsible for improving inbound flow from suppliers to Lowe's distribution centers and stores based on analytics that impacts channel selection, inventory placement decisions, supplier ship-point optimization, freight mode selection, freight ownership that is informed by merchant and replenishment business parameters and service expectations. The position is responsible for driving analysis regarding channel selection and freight flow, including trade-offs between inventory, handling, transportation, service levels and other inputs. Core Responsibilities: - Collaborates with Supply Chain Planning, Network Optimization, Transportation and DC Ops teams to execute improvements to inbound flow for targeted product areas, supplier programs, and replenishment strategies. - Execute and support Inventory depth and flow timing of freight. - Support reset activity, seasonal build entry/exit, promotions by executing PLR packets. - Extract data, reporting and analysis to generate business insights. - Executes channel and flow strategies to add more value to the business. - Execute optimal case pack quantities to reduce excess inventory. - Help and support Sr Analyst with data and information to complete assigned tasks. Overall 1+ years of Experience in Supply chain Management. Required Minimum Qualifications: - Bachelor's degree in engineering, Supply Chain Management, Operations Research, or Related Field. Primary Skills (must have): - Excellent writing and communication skills, including the ability to develop analytical documents for presentation to management. - Excellent problem-solving skills. Secondary Skills (desired): - Experience in Data mining and visualization tools such as PowerBI, SQL, MS Access, and Excel. - Working knowledge of Merchandising decision-making tools for Suppliers, Items, and Sourcing to include financial determinations. - Familiar with Inventory Management, Planning, Forecasting, and Transportation processes and systems.,

You will be joining IMS nHance, an offshore marketing services organization based in Ahmedabad, as a full-time Market Outreach Specialist. Your primary responsibilities will include reaching out to potential clients and candidates, conducting research, and ensuring effective communication and community outreach. You will also be involved in customer service tasks and writing engaging content to support outreach efforts. The ideal candidate for this role will be proactive and detail-oriented. You will be responsible for sourcing and mining contact information, executing targeted email marketing campaigns, and following up with prospects through brief calls to nurture leads and drive engagement. Your key responsibilities will include conducting data mining to identify potential clients, designing and sending out compelling email marketing campaigns, monitoring campaign performance metrics, following up with prospects via phone calls, maintaining accurate records in the CRM system, and collaborating with the marketing team to refine messaging and campaign strategies. To excel in this role, you should have experience with data mining and list building techniques, a strong understanding of email marketing platforms and tools, excellent written and verbal communication skills, the ability to conduct professional follow-up calls, strong organizational skills, and prior experience in marketing, sales, or outreach would be a plus.,

As a Data Scientist_VIS at Viraaj HR Solutions, you will play a crucial role in analyzing complex datasets to derive actionable insights and develop predictive models to address various business challenges. Your responsibilities will include collaborating with cross-functional teams to define data requirements, creating data visualizations and dashboards for effective presentation of findings, and conducting statistical analysis to identify trends and patterns. Additionally, you will be utilizing machine learning algorithms for data prediction, designing and maintaining databases to store large datasets, and gathering and preprocessing data for analysis. It will be essential for you to identify opportunities for process improvement based on data insights, ensuring data quality and accuracy throughout data handling processes, and supporting the implementation of data-driven strategies within the organization. To excel in this role, you should hold a Bachelor's or Master's degree in Data Science, Statistics, or a related field, along with proven experience as a Data Scientist or in a similar capacity. Strong programming skills in Python or R, experience with SQL databases and querying, and familiarity with big data technologies like Hadoop or Spark will be advantageous. Moreover, your expertise in machine learning algorithms, data visualization tools such as Tableau or Power BI, and statistical analysis techniques will be critical for success. As a valued member of our team, you will have the opportunity to work on big data technologies to enhance data processing capabilities, stay updated with the latest data science trends and technologies, and collaborate on research projects to explore innovative solutions. Your role will also involve mentoring junior data scientists and interns, necessitating exceptional analytical skills, attention to detail, and strong communication abilities to convey complex data insights to non-technical audiences effectively. If you possess skills in predictive modeling, team collaboration, cloud computing, data analysis, project management, problem-solving, and data quality assurance, along with a passion for continuous learning and adaptation in a fast-paced environment, we encourage you to apply. Join us in leveraging data management best practices and shaping the future of data science at Viraaj HR Solutions.,

We are seeking a meticulous and detail-oriented Database Research Executive to become a valuable part of our team. As a Database Research Executive, you will be instrumental in supporting our research and data management endeavors while ensuring the precision and comprehensiveness of our databases. Your responsibilities will include managing database operations for accuracy and security, analyzing data to derive actionable insights, generating regular and ad-hoc reports, ensuring data quality and integrity, updating MIS systems, collaborating with database and project management teams, and documenting processes and changes. To qualify for this role, you should possess a Bachelor's degree in IT, Computer Science, or a related field, along with at least 2 years of experience in database management or data research, preferably within the B2B or events industry. Proficiency in Data Research, Data Mining, Market Research, and database management systems is essential. Strong analytical and problem-solving skills, excellent attention to detail and accuracy, as well as good communication and organizational abilities, are highly valued for this position. This full-time, permanent position is based in Noida Sec 62, and it requires working in the office during day shifts. A minimum of 1 year of experience in Data Research is required for this role. If you are looking to contribute your skills to a dynamic team and play a crucial role in managing and analyzing data effectively, this opportunity is for you.,

You will be responsible for building a highly-scalable and extensible robust application. This position reports to the Engineering Manager. Responsibilities: Align Sigmoid with key Client initiatives, interface daily with customers across leading Fortune 500 companies to understand strategic requirements, and tie business requirements to technology solutions. Open to working from the client location as per the project demands. Facilitate in Technical Aspects, develop fault-tolerant distributed components using Java technologies, and provide technical leadership to manage on a day-to-day basis. Stay updated on the latest technology trends for the greatest ROI for customers & Sigmoid. Design and implement APIs, abstractions, and integration patterns for challenging distributed computing problems. Define technical requirements, automate jobs, explore new big data technologies, and work within a Parallel Processing environment. Culture: Must be a strategic thinker with the ability to think unconventionally. Analytical and solution-driven with raw intellect, talent, and energy. Entrepreneurial and Agile mindset, capable of being both a leader and hands-on "doer." Qualifications: Years of relevant work experience with a Computer Science or related technical discipline. Proficiency in developing Enterprise scale applications, frameworks, and design patterns. Experience in functional and object-oriented programming languages like Java or Python. Knowledge in Springboot, APIs, SQL, and optional skills in GIT, Airflow, Node JS, Angular Python. Experience with database modeling, data mining, and testing methodologies. Effective written and verbal communication skills, ability to collaborate with engineers, data scientists, and product managers. Comfortable in a fast-paced startup environment. Proficient with SQL and its variations among popular databases. Experience working with large, complex data sets from various sources.,

You will play a crucial role as part of a team of scientists collaborating closely with external clients to develop efficient predictive models, analyze and validate production model behavior, and ensure optimal model performance. This role will provide opportunities to support the internal technology team in model development and engage in sales activities pertaining to the assessment of models for various client environments. Your contributions will involve building and assessing predictive and decision models for deployment in production systems or research. This encompasses analyzing extensive historical data, determining suitability for modeling, data cleanup and filtering, pattern identification, variable creation, selection of sampling criteria, defining and generating performance metrics, conducting experiments with diverse algorithms and models, and assessing performance to determine the most effective algorithms for implementation. You will assist in the deployment of models into production by conducting production data validations and analyzing score distributions of models in production. Additionally, you will apply data mining techniques to thoroughly analyze model behavior and provide support for customer meetings, model construction, and pre-sales activities. Managing projects within time and resource constraints, collaborating with other teams within FICO, and providing high-quality support to facilitate the integration and deployment of analytics software and solutions will also be part of your responsibilities. You may also participate in post-implementation support. The ideal candidate will possess an MS degree in a statistics, engineering, mathematics, computer science, physics, or operations research field. A PhD is preferred. Some relevant industry experience in predictive modeling and data mining or a PhD without related experience is desirable. Proficiency in Perl/Python, C, C++, or Java, along with familiarity with basic software design principles, coding standards, and best practices, is required. Experience in analyzing large datasets, applying data-cleaning techniques, and conducting statistical analyses to comprehend dataset structures is essential. Knowledge of Bayesian networks, PCA, independent component analysis, linear and logistic regressions, inference, estimation, experimental design, neural networks, and SVM is preferred. We offer an inclusive culture that embodies our core values: Acting Like an Owner, Delighting Our Customers, and Earning the Respect of Others. You will have the opportunity to create an impact and enhance your professional growth by leveraging your unique strengths and engaging in valuable learning experiences. We provide highly competitive compensation, benefits, and rewards programs that encourage you to deliver your best every day and be acknowledged for your efforts. Our engaging, people-first work environment promotes work-life balance, offers employee resource groups, and hosts social events to foster interaction and camaraderie.,

As a Data Analyst & Insights professional, you will be responsible for analyzing large datasets from various sources to identify trends, patterns, and actionable insights that are crucial for media and business stakeholders. Your role will involve developing and maintaining dashboards, reports, and visualizations using BI tools like Tableau and Power BI. It will be essential to translate complex data findings into clear and compelling narratives for non-technical audiences. In addition to data analysis, you will design, implement, and maintain robust data pipelines and ETL processes to ensure data quality, integrity, and consistency across all analytics outputs. Collaboration with cross-functional teams to define KPIs, track performance, and identify optimization opportunities will also be a key aspect of your role. Your expertise in Media Analytics will be utilized to apply analytics to media metrics such as audience engagement, campaign performance, and content effectiveness. You will monitor and analyze key performance indicators specific to the media industry and contribute to creating performance reports for campaigns, brands, and channels. Stakeholder engagement will be another critical component of your role, requiring you to partner with business leaders, marketing, and product teams to understand data needs and deliver tailored analytics solutions. You will present insights and recommendations to senior management and external clients. Continuous improvement is encouraged in this role, and staying updated with industry trends, emerging technologies, and best practices in data analytics and business intelligence is essential. You will identify and implement process improvements to enhance analytics efficiency and impact. To excel in this position, you should have 7-9 years of experience in data analysis, business intelligence, or related roles, preferably within the media industry. Proficiency in SQL for data querying and manipulation, experience in team management, and advanced knowledge of Python for data analysis, automation, and scripting are required. Hands-on experience with BI tools like Tableau and Power BI, familiarity with data visualization best practices, and strong statistical and analytical skills are also necessary. Excellent communication and presentation skills, the ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment are essential for success in this role. Experience with cloud data platforms (AWS, GCP, or Azure) is a plus, as well as knowledge of media analytics platforms (e.g., Google Analytics, Adobe Analytics) and digital marketing metrics. An understanding of data governance, privacy, and compliance standards is also beneficial. A Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field is preferred.,

You are seeking a Principal Machine Learning Engineer to join our team in Pune on a hybrid schedule. Reporting to the Director of Machine Learning, you will collaborate with Product and Engineering teams to address challenges and discover new business opportunities. Your role will involve applying quantitative analysis, modeling, and data mining to support informed product decisions for PubMatic. In this position, your responsibilities will include conducting in-depth analysis to optimize product KPIs, utilizing statistics, modeling, and machine learning to enhance system efficiency and relevance algorithms, analyzing data to make product recommendations and conduct A/B experiments, working closely with cross-functional teams to identify trends and solve problems, and collaborating with stakeholders throughout the end-to-end analysis process. The ideal candidate should have at least seven years of hands-on experience in designing Machine Learning models using statistical packages like R, MATLAB, Python (NumPy, Scikit-learn + Pandas) or MLlib. You should have the ability to mentor team members effectively, articulate product questions, and use statistics to derive solutions. Proficiency in SQL for data extraction and ETL flow design, along with a background in an interdisciplinary/cross-functional field, is preferred. An interest in data, metrics, analysis, trends, and practical knowledge of measurement, statistics, and program evaluation is essential. Strong problem-solving skills, sound business judgment, and the ability to translate analysis results into actionable business recommendations are also required. Additionally, candidates should hold a bachelor's degree in engineering (CS / IT) or an equivalent degree from reputable Institutes / Universities. PubMatic operates on a hybrid work schedule (3 days in office and 2 days remote) to foster collaboration, innovation, and productivity. Benefits include paternity/maternity leave, healthcare insurance, broadband reimbursement, a well-stocked kitchen, catered lunches, and more. PubMatic is a leading digital advertising platform that offers transparent advertising solutions to publishers, media buyers, commerce companies, and data owners. Founded in 2006, PubMatic enables content creators to run a profitable advertising business, reinvesting in the diverse content consumers demand.,

We are looking for someone who has a good understanding of investment products in the wealth space and various asset classes. You should possess strong analytical skills to work on large data and derive meaningful insights, as well as evaluate various product ideas for presentation. It is essential to have good communication and interpersonal skills, be approachable, and maintain good rapport with all stakeholders. Proficiency in Microsoft Office, especially advanced Excel and presentation skills, is a must. You will need to comply with internal compliances and follow the best practices of the industry and code of conduct. Qualification required for this role includes an MBA in Finance, CA, CS, or relevant work experience in managing investment products. The ideal candidate should have 1-3 years of experience in a similar role. As a Manager in the Product Team (Wealth Distribution) at Equirus Wealth Private Limited, your duties will include assisting with due diligence and onboarding of new products, continuous monitoring and evaluation of existing product recommendations, and supporting the sales team with product-related queries. You will be responsible for analyzing and data mining to generate relevant reports and outputs to assist the sales and management teams in making business decisions. Additionally, you will assist the sales team with portfolio analysis for existing and prospective large clients, conceptualize, launch, and track R&R campaigns for the sales team, prepare product one-pagers, and sales-focused presentations. You will also conduct secondary research and assist in the preparation of research notes and presentations for the sales team. This is a full-time position located in Mumbai, India, with a negotiable salary.,

We are seeking a Test Engineer to join our team dedicated to building and testing the Creditsafe data. In this role, you will collaborate closely with the database teams and data engineering to develop specific systems that facilitate the extraction and transformation of Creditsafe data. Your primary responsibility will be to develop, enhance, and execute tests based on the established test strategy and approach, adding value to the Creditsafe data. Additionally, you will provide guidance to Junior Test Engineers and Test Engineers on data quality best practices and techniques. As a Test Engineer, you will effectively communicate test results with team members and stakeholders, utilizing evidence and reports. You will act as a mentor and coach to less experienced team members, promoting leading practices in data test management, design, and implementation. Operating within an Agile team, you will actively contribute to ceremonies as the quality specialist and influence the team in defining and implementing agreed standards. The ideal candidate for this role possesses extensive experience in mentorship and leading by example, aligning with the Creditsafe philosophy of engagement. Critical thinking skills and diplomatic communication are essential, allowing for effective interactions within and outside areas of responsibility while challenging assumptions when necessary. Required Skills: - Proven experience as a data test engineer, business data analyst, or ETL tester - Technical expertise in data models, database design development, data mining, and segmentation techniques - Strong knowledge and experience with SQL databases - Hands-on experience with best engineering practices, including error handling, system monitoring, and building fault-tolerant applications - Knowledge of statistics and experience with statistical packages such as Excel, SPSS, and SAS - Familiarity with relational databases like Redshift, Oracle, PostgreSQL, MySQL, and MariaDB (PostgreSQL preferred) - Strong analytical skills with the ability to collect, organize, analyze, and disseminate information accurately - Proficiency in queries, report writing, and presenting findings - Bachelor's degree in Mathematics, Economics, Computer Science, Information Management, or Statistics preferred - Understanding of cloud technology, preferably AWS and/or Azure DevOps - Practical knowledge of programming languages like JavaScript and Python - Excellent communication skills - Experience in testing within an Agile framework Desirable Skills: - Understanding of version control systems - Experience in conducting code reviews - Experience in pair testing and pair programming Primary Responsibilities: - Reporting to the Engineering Lead - Collaborating with the engineering team in data acquisition - Designing and implementing processes and tools to monitor and enhance the quality of Creditsafe's data - Developing and executing test plans to verify data accuracy and reliability - Establishing and maintaining data governance policies in collaboration with data analysts and stakeholders - Identifying and resolving data issues, such as errors, inconsistencies, or duplication - Working with other teams to ensure data quality for various projects and initiatives - Providing training and guidance on data quality best practices - Monitoring and reporting key data quality metrics - Continuously improving data quality processes and tools - Documenting approaches and processes for quality improvement - Advising on software testing techniques and selecting the appropriate technique for specific problems - Defining standards and processes within the team's area of responsibility - Monitoring team progress and injecting quality concerns when necessary - Contributing to the creation and maintenance of accurate defect reports Behavioral Skills: - Teamwork: Leads by example in cooperation, collaboration, and partnerships - Quality Improvement: Initiates improvements and delivers valuable results - Problem-Solving: Identifies, prioritizes, and resolves problems, seeking and providing feedback Autonomy: - Works independently within the Agile team's constraints - Determines when issues should be escalated - Takes responsibility for decisions and provides rationale Influence: - Interacts positively with colleagues and influences them - Undertakes supervisory activities and makes impactful decisions - Aspires to be recognized as the subject matter expert for quality-related issues Complexity: - Grasps complex concepts and articulates them to team members and stakeholders - Applies a methodical approach to issue resolution - Performs varied and sometimes non-routine work in different environments Business Skills: - Demonstrates an analytical and systematic approach to issue resolution - Identifies and negotiates personal development opportunities with team members - Communicates effectively with stakeholders - Plans, schedules, and monitors work competently within deadlines and standards - Understands the broader business context and how their role contributes to CreditSafe's objectives Company Benefits: - Competitive Salary - Work from Home option - Pension benefits - Medical Insurance coverage - Cab facility for Women employees - Dedicated Gaming Area for relaxation and stress relief,

The Jigya Tech Incubator provides a unique opportunity for recent graduates, career changers, and executives to upskill in New Age Tech Skills such as Data Science, AI, ML, Gen AI, Cloud Computing, etc. and prepare themselves for the future. Throughout this program, you will receive academic inputs, mentorship, and guidance while working on real-world projects to solve complex business problems. The ecosystem at Jigya combines learning, work, and networking to help you establish the foundations of your Tech Career. The Jigya Fellowship Programme serves as the entry point into the Jigya Tech Talent Incubator. This initiative by the Jigya Platform aims to nurture curious young tech career enthusiasts into seasoned New Age Technology Professionals or Digital Product Designers by providing training, mentoring, and opportunities to work on live projects. The areas of specialization within the Jigya Tech Talent Incubator include Digital Product Design, Digital Media and Marketing - Growth Hacking, Full Stack Development in Data Science, AI, ML, and Gen AI, as well as Full Stack Development in Software Applications. As a "Jigya Tech Fellow - Data Science and AI," talented Tech enthusiasts can apply to join the program in the field of AI, ML, and Gen AI. Throughout the Six Months Program, selected candidates will undergo training, mentoring, and have the opportunity to work on live projects, including client projects of Jigserv Digital. There may be possibilities of working from the client site based on the client's requirements. During the program duration, the Jigya Fellow will receive a fixed stipend of INR 50,000 per month. Upon successful completion of the program, participants will receive a Jigya Tech Fellowship Certificate and a potential opportunity to work with Jigserv Digital or one of their clients as a Full-Time Employee, subject to performance and available vacancies at the end of the program. Outstanding performers may be recognized with the "Jigya Tech Scholar" certificate. Candidates applying for the Tech Fellow - AI and Gen AI role are required to have a strong background in Mathematics and Statistics, proficient Data Science, Machine Learning, and Data Mining skills, excellent problem-solving and critical thinking abilities, familiarity with relevant Cloud-based tools, technologies, and services, as well as outstanding communication and interpersonal skills. Additionally, the ability to work in a team and collaborate effectively is essential. The selection process mandates interested candidates to apply through the listing on the Jigya Platform, as only applications received through this platform will be considered for further evaluation. Shortlisted candidates may need to undergo an Online Assessment administered by Jigya. Following the screening test, selected candidates may be required to participate in a Group Discussion and one or more rounds of Personal Interviews.,

The selected intern will be responsible for collecting and extracting data from primary and secondary sources using automated tools, databases, APIs, or web scraping techniques. They will assist in cleaning, preprocessing, and organizing data for analysis and reporting purposes. The intern will support the identification of patterns, trends, and anomalies in structured and unstructured datasets. Utilizing tools such as Python, Excel, SQL, or R, they will process large volumes of data. Collaborating with analysts, the intern will contribute to building and maintaining data dashboards, visualizations, and reports. Additionally, they will assist in applying data mining techniques such as classification, clustering, regression, and association rule mining. The intern will also help maintain documentation and data integrity standards to ensure accurate results. Furthermore, they will conduct competitor or market intelligence research using data scraping and public databases (if applicable) and stay updated on data privacy regulations to ensure ethical handling of sensitive data. LogicizeIP is devoted to helping individual entrepreneurs and inventors, institutions, universities, and companies secure their IP rights for their ideas, inventions, and designs at an affordable cost worldwide. The company's mission is to make IP services easier for both new and existing users to protect their creations conveniently and hassle-free. LogicizeIP ensures that your idea always belongs to you and is completely protected, aiming to encourage inventiveness and shield it.,

As a Senior Data Analyst/Planner at M&C Saatchi's Intelligence Team, you will play a central role in supporting the broader strategy and business leads within the creative, consulting, and media agencies. Your primary responsibility will involve providing data and analysis using the Intelligence Platform, a curated data stack of tools and resources that power the M&C Saatchi Group. Your role will require you to delve into various types of data to uncover compelling stories and narratives that can transform data into creative opportunities and drive business growth. You should possess the creativity to bring data to life through engaging narratives, be comfortable presenting to internal audiences, and have a strong understanding of brands and marketing strategies. Additionally, you should be inquisitive, detail-oriented, and always eager to learn new approaches to data analysis. This global role, based in the Bangalore office of M&C Saatchi, may require you to work outside of regular hours to accommodate different time zones, primarily London and/or US time zones. Key Responsibilities: - Uncover Narratives: Source, blend, and analyze data to address business queries swiftly and identify trends across various markets and industries. - Bring Data to Life: Translate complex datasets into easy-to-understand narratives and client deliverables, ranging from emails to detailed reports or interactive dashboards. - Stay Ahead of the Curve: Familiarize yourself with a variety of tools and platforms and be open to learning new ones as needed. - Push Boundaries & Innovate: Introduce fresh ideas, experiment with new initiatives, and contribute to technological innovations within the team. - Prioritize Data-driven, Actionable Insights: Focus on delivering flawless, impactful reports that provide actionable insights. Key Initiatives You'll Support: - Automating data sourcing for Cultural Power, a global intelligence product. - Launching a global insights program to promote data literacy and engagement across the network. - Experimenting with AI-driven tools and automation to streamline reporting processes. - Expanding intelligence capabilities by incorporating new data sources. - Developing Opportunity Finder, a dashboard to identify industry shifts and new business opportunities. Requirements: - 5 to 6 years of experience in a Data and Research division within an advertising or research organization. - Strong attention to detail and the ability to thrive in a fast-paced, deadline-driven environment. - Familiarity with SaaS platforms like Brandwatch, GlobalWebIndex, Similarweb/SEMRush, etc. - Analytical mindset with the ability to spot trends and translate them into actionable insights. - Design awareness to transform insights into compelling presentations. - Interpersonal skills to collaborate effectively across teams and business challenges. Desirable Skills: - Background in digital marketing or advertising analytics. - Basic knowledge of Python coding, business intelligence, and data analysis. - Strong desire to learn and adapt quickly to new technologies and methodologies. Join us at M&C Saatchi Group to work on impactful projects for global brands, collaborate in a dynamic environment, and be part of a team that values creativity and analytics. Apply now to be a part of our journey to revolutionize insights and advertising.,

The organization is looking for an experienced, entrepreneurial, and highly driven individual with extensive experience in channel sales and a proven track record of raising assets. In this role, you will be responsible for building relationships in the MFD segment within the respective geography. Your main focus will be on developing strategic relationships and establishing credibility through knowledge-driven discussions with sophisticated channel partners. Your responsibilities will include consistently mapping out the distribution landscape, identifying new opportunities, and reaching out to key prospects via telephone and email to secure meetings. You will need to nurture and strengthen relationships with distributors, maintain an updated Distributor Database, and gather valuable insights through efficient data mining and analysis to support business development efforts. Additionally, you will collaborate with the investment team to effectively communicate the investment philosophy to large distributors. Furthermore, you will be tasked with creating and implementing plans to minimize brokerage/commission costs in order to drive revenue growth. You will also be responsible for organizing events with distributors to enhance business conversion rates in the respective areas. To be successful in this role, you should possess excellent academic credentials from a prestigious MBA or equivalent program, along with a minimum of 8+ years of relevant experience in the financial services industry. Strong presentation and communication skills are essential, as well as unquestionable integrity and a solid work ethic. Previous experience in the Distribution segment (IFA, Wealth), preferably in AMC/Credit fund/Private Equity Fund, is highly desirable. A deep understanding of fixed income markets and the ability to convey complex information through presentations and reports are also key requirements for this position.,

Are you ready to disrupt an industry and change lives As an Associate at GCC's Sampling Allocation Service in AstraZeneca, you will be responsible for developing and implementing analytical programs to optimize sampling distributions for branded products. This role is a blend of managerial and hands-on tasks, involving proactive collaboration with brand team members and overseeing the internal GCC Sampling team to ensure deliverables meet specific requirements. Your role will require working closely with brand teams to comprehend rules, requirements, and sampling strategies, utilizing your expertise across various commercial datasets to ensure accurate implementation. Your contributions will play a vital role in the sample ordering and distribution system, directly influencing the development of life-changing medicines. Location: Bangalore Experience: 3-6 years Notice period: Maximum 2 months (strictly) **Essential Skills/Experience:** - A quantitative Bachelor's degree from an accredited institution in fields like Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science, or Data Science is mandatory. An advanced degree (Masters, MBA, or PhD) is preferred. - Minimum of 2 years of experience in Pharmaceutical/Biotech/Healthcare analytics or secondary data analysis. - At least 3 years of experience in applying advanced methods and statistical procedures on large and disparate datasets, with expertise in areas such as Data Mining, Predictive Modeling algorithms, Optimisation & Simulation. - Proficiency and recent experience (2+ years) in Python, R, SQL, and big data technologies. - Working knowledge of data visualization tools like PowerBI, VBA, or similar platforms. - Proficiency in MS Office products, including PowerApps, Excel, and PowerPoint. - Ability to manipulate and extract insights from extensive longitudinal data sources like Claims, EMR, and other patient-level datasets. - Expertise in managing and analyzing various large, secondary transactional databases. - Background in statistical analysis and modeling, with Machine Learning knowledge as a plus. - Familiarity with IQVIA datasets and sales-related data sets like targeting and alignment, HCP eligibility, and call data. - Experience in data visualization methods and tools for effective communication of insights derived from analyses. - Strong organization and time management skills. **Desirable Skills/Experience:** - Strong leadership and interpersonal skills, with a proven ability to collaborate effectively with business leaders and cross-functional partners. - Excellent communication and influencing abilities, capable of presenting concise and compelling reviews of independently developed analyses along with actionable insights to stakeholders. - Strategic and critical thinking skills, with the capability to engage, build credibility, and maintain relationships with the Commercial Leadership Team. - Exceptional organizational skills and time management, adept at handling multiple projects simultaneously.,

As a senior data analyst at Comscore India, your primary responsibility will be to extract, transform, and analyze data to derive insights and provide answers to questions posed by internal and external clients. You will also engage in analytical hypothesis testing and modeling to offer key insights to stakeholders. Your role will involve supporting the sales function by leveraging your data expertise to conduct feasibility reviews and provide detailed analysis on inquiries raised by various stakeholders. Additionally, you will play a crucial part in creating and innovating Comscore's offerings in the marketplace and will lead cross-functional teams of analysts. In this senior position, you will have the opportunity to work on a variety of projects, present your findings to clients and upper management, and collaborate with cross-functional teams to implement quality assurance methods. You will also participate in sales calls, manage custom research projects, and identify process efficiencies and automation opportunities. To excel in this role, you should have 4-8 years of experience in Data Mining, SQL, Python, PySpark, and Scala. Familiarity with Comscore's offerings and research methods, or equivalent experience in market research, is desirable. Moreover, having project management experience and the ability to partner, influence, and impact others will be beneficial. The regular working hours for this position will typically cover a combination of US and India business hours, from 2pm to 11pm IST. Occasional late hours may be required for meetings with global teams. During the onboarding and training period, you may need to work in US Eastern time hours. Comscore offers a comprehensive benefits package, including medical insurance coverage for employees and their dependents, provident fund, annual leave days, public holidays, sick leave days, paternity leave days, and more. Flexible work arrangements and additional perks such as the Sodexo Meal scheme are also provided. If you are motivated by challenges and interested in shaping the future of media measurement, Comscore offers a dynamic environment where you can make a significant impact. Join us in our mission to simplify the complex and provide valuable insights to our clients and partners. For more information about Comscore, you can visit Comscore.com.,

About GlobalFoundries: GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world's most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com. The Data Solutions Group at GlobalFoundries is responsible for integrating manufacturing and engineering data from a wide variety of source systems used in the semiconductor engineering and production process. The data warehouse solutions developed by the group are utilized in the GLOBALFOUNDRIES Fabs in Dresden, the US, and Singapore. The Data Solutions Group conceptualizes and delivers timely, high-quality solutions that cater to the analysis needs of engineers in a leading-edge semiconductor foundry. Your Responsibilities: - Understand the business case and translate it into a holistic solution involving Ab Initio (Cloud/On-prem), Python, Data Ingestion, and Cloud DB Redshift / Postgres on AWS cloud. - Execute PL/SQL development for handling high volume data sets. - Prepare data warehouse design artifacts based on specified requirements, including ETL framework design, data modeling, and source-target mapping. - Monitor database queries for tuning and optimization opportunities. - Demonstrate problem-solving skills, familiarity with root cause analysis methods, and experience in documenting identified problems and resolutions. - Provide recommendations for enhancements and improvements in database management practices. - Offer consulting, interfacing, and standards related to database management while monitoring transaction activity and utilization. - Conduct analysis and tuning for performance issues. - Engage in data warehouse design and development, encompassing logical and physical schema design. Other Responsibilities: - Ensure all activities are carried out in a safe and responsible manner, adhering to Environmental, Health, Safety & Security requirements and programs. - Maintain a customer/stakeholder focus to build strong relationships with Application teams, cross-functional IT, and global/local IT teams. Required Qualifications: - Bachelor's or master's degree in information technology, Electrical Engineering, or related fields. - Minimum 3 years of proven experience in ETL development, design, performance tuning, and optimization. - Strong knowledge of data warehouse architecture approaches, trends, and a keen interest in applying and enhancing that knowledge, including understanding of Dimensional Modelling and ERD design approaches. - Working experience in Kubernetes and Docker Administration is advantageous. - Proficiency in AWS services, Ab Initio, Big data, Python, and Cloud DB RedShift. - Familiarity with PySpark is a plus. - Proficiency in SQL and PL/SQL. - Excellent conceptual abilities paired with strong technical documentation skills. - Familiarity with SDLC concepts and processes. Additional Skills: - Experience in using and developing on AWS services. - Experience in the semiconductor industry. - Knowledge of Semistructured datasets. - Experience with reporting data solutions and business intelligence tools. - Experience in collecting, structuring, and summarizing requirements in a data warehouse environment. - Knowledge of statistical data analysis and data mining. - Experience in test management, test case definition, and test processes. Preferred Qualifications: - Bachelor's or master's degree with a minimum of 10 years of relevant experience, including people management exposure. - Experience with AWS Cloud Services, Ab Initio, Python, Cloud DB Redshift / Postgres, and Data Ingestion. - Experience in preparing Data Warehouse design (ETL framework design, data modeling, source-target-mapping). GlobalFoundries is an equal opportunity employer, fostering a diverse and inclusive workforce. We believe that a multicultural workplace enhances productivity, efficiency, and innovation, while ensuring that our employees feel respected, valued, and heard. All employment offers with GlobalFoundries are subject to the successful completion of background checks, medical screenings as applicable, and compliance with respective local laws and regulations. To maintain a safe and healthy workplace for our employees at GlobalFoundries, candidates offered employment in India must be fully vaccinated before their targeted start date. The appointment for new hires is contingent upon providing a copy of their COVID-19 vaccination document, subject to any written requests for medical or religious accommodation.,

You will be responsible for teaching AI syllabus to Grade XI & XII students, which includes developing lesson plans, conducting in-class/lab work, and managing student projects. The subjects covered will include AI fundamentals, Python programming, Data Mining, Machine Learning, Deep Learning, NLP, Data Analytics, and more. Your role will involve both virtual and physical class formats. To be eligible for this position, you should hold an Engineering degree (B.Tech/M.Tech/MCA) in relevant fields such as Computer Science or AI. Proficiency in programming languages like HTML, Java, SQL, C++, Python, and tools like Matlab, R, SAS is required. Additionally, a minimum of 2-3 years of teaching experience in AI or related fields is necessary. Strong skills in Excel, Word, and PowerPoint are also essential. Your key responsibilities will include planning and delivering AI lessons while adhering to the curriculum and timelines. Providing extra attention to struggling students, coordinating with WACP for curriculum support, and mentoring students in research projects are also part of your duties. You will be handling both formative and summative assessments, maintaining reports, and attending parent-teacher meetings. Monitoring visiting faculty's progress will also be one of your tasks. In terms of skills, you should possess strong communication, teaching, and interpersonal skills. Flexibility, discipline, and a professional work ethic are qualities that are highly valued in this role.,

You are a strategic thinker passionate about driving solutions in financial analysis. You have found the right team. As a Planning & Analysis Associate in our Finance team, you will spend each day defining, refining, and delivering set goals for our firm. You will analyze, prepare, and reconcile accounting and technical data as well as prepare reports, while always thinking of and devising ways to streamline and minimize cycle times through automated applications and process improvement. You will also help develop recommendations affecting business procedures and operations and maintain financial and reporting systems. In addition, you will assist the department and other team members with special projects or components of other projects as needed. Managing annual/continual financial planning activities for product areas, providing business rationale and decisions for all month-end financial performance and forecasting, conducting reviews and analysis on product financial performance, consumption/demand planning, budgeting, billing, trends, and exception reports. Develop efficiency reporting, analytics, and strategy, including but not limited to location strategy, span of control, and reporting and analytics. Creating financial business cases supporting business initiatives. Reporting on and monitoring key metrics, driving data quality initiatives across the product area, and helping define future needs of the product area. Developing and tracking performance metrics, creating presentations, and generally providing financial analysis on a variety of topics to senior management. Performing variance analysis to understand the key drivers of the results and presenting commentary to senior managers, explaining changes from prior forecasts/budgets. Helping design new reports and dashboards to efficiently deliver the financial results to senior management. Enhancing controls and streamlining processes, introducing automation where possible. Required qualifications, capabilities, and skills: - Bachelor's degree in Accounting, Finance, or a subject of a technical nature. - Advanced skills in Excel and PowerPoint. - Proficiency with data mining/gathering and manipulation of data sets. - Inquisitive, enthusiastic, and diligent, and capable of challenging peers. - Strong verbal and written communication skills, with the ability to articulate complex issues clearly. - Ability to create ad hoc reporting for senior management. - Proven track record for executing on special projects/assignments, often with little lead time or information. - Highly motivated and able to thrive and think clearly under pressure and tight deadlines. - Team player with the ability to be respected as a trusted partner for the Business, Finance, and FP&A Teams. - Highly motivated self-starter with excellent time management/prioritization skills. - Strong analytical and problem-solving skills with the ability to analyze large data sets and present conclusions concisely. Preferred qualifications, capabilities, and skills: - 3+ years of work experience, preferably in Financial Services, and/or accounting/controller background.,

As a MERN Stack Developer with TypeScript, you will be responsible for designing, developing, and maintaining web applications using the MERN (MongoDB, Express.js, React.js, Node.js) stack. You will work closely with our product and design teams to create scalable and efficient applications, ensuring high performance and responsiveness to requests from the front end. Key Responsibilities - Develop and maintain web applications using the MERN stack (MongoDB, Express.js, React.js, Node.js) with TypeScript. - Collaborate with the product team to understand requirements and translate them into technical specifications. - Design and implement RESTful APIs and ensure seamless integration with front-end components. - Write clean, maintainable, and well-documented code. - Optimize applications for maximum speed and scalability. - Troubleshoot and debug applications to ensure optimal performance. - Participate in code reviews and provide constructive feedback to peers. - Stay updated with emerging trends and technologies in web development. Nice To Have - Experience working with weaviate or any other vector database. - Experience working with LLM models like OpenAI GPT, Anthropic's Claude. Job Types: Full-time, Permanent Benefits - Paid sick time Location Type: - In-person Schedule - Day shift Education - Bachelor's (Preferred) Experience - Total work: 2 years (Required) Work Location: In person,

As a potential candidate for this role, you will be responsible for tasks such as reading scientific journals and data mining for the purpose of interpreting scientific data. Additionally, you will be involved in the creation of mathematical models that accurately represent human physiology. Another key aspect of the role will be the analysis and interpretation of data outputs generated from the predictive model. This position requires a strong educational background in fields such as BE/B.Tech in Biotech or Bioinformatics, M.Sc in Biochemistry, Microbiology, or Biotech, as well as a background in M.Tech, Pharmacology, or Pharmacy. The ideal candidate for this position will have 0 to 2 years of relevant experience and will be based in Bangalore. If you are passionate about data analysis, scientific research, and mathematical modeling, this could be the perfect opportunity for you.,