1826 Data Mining Jobs - Page 19

The Global Specialty Fulfillment (GSF) Team is responsible for building and driving the next generation of operational infrastructure for Amazons Hub-Spoke business to deliver best-in-class customer experience at the fastest speeds and other upcoming exciting new businesses. Online grocery and ultra-fast delivery are growing at an exponential rate, and with planned expansion, we expect volume to grow by several orders of magnitude this year and beyond. Join our team of Fulfillment and Distribution networks across India serving highly engaged customers! This is a unique opportunity to play a key role in groundbreaking initiatives, solving challenging and interesting problems as we build the first-ever distribution network and operational capabilities tailored to grocery and ultra-fast customer offerings. Key As a domain expert and consultant for all system/process queries, you will: a. Serve as SME for AFTX and FaaST systems. Be a SPOC for GSF Distribution, resolving system and API-related issues for IB (VAST, ePOD, etc.) and OB (MTR, Rodeo, among others). Identify appropriate teams to raise SIMs and work on swift resolution. b. Act as domain interface with external teams (AFT/FaaST/Trans/Category/SnOP) on system or process-related issues. Own mechanisms for updates and blurbs in MBRs regarding systemic changes and progress on plans. c. Lead network-level best practice identification, design, and standardization. Benchmark with NA/IN operations on processes, execute must-haves, and own OP requirements. d. Collaborate with network SME to follow up on critical tickets (Severity 3 and above) for resolution. e. Provide startup support for launching FCs through testing and launch configurations. Create SOPs and train ops teams on UAT testing. Work toward simplifying testing and reducing time to launch. f. Own process development for new tools and/or process design related to AFTx/FaaST. g. Serve as the interface between network SME and FC to drive execution of software/process changes. h. Provide learning and development support for new hire managers. i. Manage system configuration changes and optimization within FC control scope. j. Conduct data analysis to support FC process health checks through standardized tools. k. Improve end-user documentation in consultation with network SME to reduce associate and manager learning curves. 3+ years of team management experience 3+ years of program or project management experience 3+ years of working cross functionally with tech and non-tech teams experience 3+ years of delivering cross functional projects experience Experience defining program requirements and using data and metrics to determine improvements Experience implementing repeatable processes and driving automation or standardization Experience in data mining, data management, reporting, and SQL queries

Amazon.com operates in a global e-Commerce environment without boundaries, and operates a diverse set of businesses worldwide, including Retail, third party marketplaces, e-Commerce platforms, web services for developers. Audit team strives to improve Customer trust and Amazon s price perception through consistently low and easy-to-understand pricing. Audit operations Team is an integral player of Retail Systems in enabling Amazon s pricing strategy and operations. The team s primary role is to provide on-time and accurate inputs to help make great pricing decisions. We build and execute on scalable & efficient processes to ensure Amazon s price competitiveness. The tasks handled by this group have a direct impact on customer buying decisions and Amazon s topline & profitability. Opportunity: Do you want to be part of the team that ensures Amazon keeps its best price promise across millions of products worldwide? Does the challenge of driving decisions in a dynamic environment excite you? Do you love solving complex business problems using technology? Are you seeking an environment where you can drive innovation? Are you a passionate self-starter? If the answers to the above questions are a resounding YES , read on! The Program Manager Operations will lead and manage a team of high performing Managers and their teams responsible for providing accurate inputs to the pricing models. The job involves end to end business planning including but not limited to creating annual plans, strategy, analytics and developing framework for execution, ensuring operational rigor and designing high business impact processes. He/she will be the strategic point of contact to the retail teams of Amazon worldwide and must therefore be comfortable and confident liaising with remote teams and senior leaders. He/She will manage business impact via functional activities and will be accountable for designing and delivering on all KPIs of the same. The individual will interface and drive agenda with the automation & technology teams to build scalable solutions and in addition he/she will be responsible for ensuring the safety, security and integrity of Amazon s systems and data. The role involves influencing peers and stakeholders in other functions to achieve the operational and business goals assigned. The successful candidate should have the ability to work at all levels of detail to accomplish team/organization goals. He or she will identify individual strengths of team members and contribute to talent advancement along with succession planning opportunities within the company. The ideal candidate actively seeks to understand Amazon s core business values and initiatives, and translates those into everyday practices. Some of the key result areas include, but not limited to: Responsibility for defining and driving operational/business goals Building a data oriented culture, adoption of technology solutions and process improvement projects to achieve operational and business goals. Managing stakeholder communication across multiple lines of business on operational milestones, process changes, escalations, etc. Designing and developing strong relationships with senior stakeholders in the Retail business. Ensuring high quality standards for interviewing and hiring employees at all levels of the organization. Owning specific people programs on coaching and development and team engagement. . People Management (team & stakeholders); Formulate, Implement, Track career path & Individual Development Plans of each team member; Stakeholder communications and influence; Author high quality business documents . Planning & Forecasting, Resource allocation and Prioritization of work to meet operational/business goals . Quality & Process Excellence; Defect reduction across systems and manual processes; Process improvement, automation to scale, and development of new solutions 2+ years of program or project management experience 3+ years of team management experience Experience leading process improvements Experience with data analysis and business case development, and managing programs from concept to implementation Knowledge of data mining using SQL Experience in translating business needs into detailed feature requirements Experience in e-commerce/Hi-tech/Retail industry or management consulting with focus on one of these industries

About IDP IDP is the global leader in international education services, delivering global success to students, test takers and our partners, through trusted human relationships, digital technology and customer research. An Australian-listed company, we operate in more than 50 countries around the world. Our team is comprised of over 7,000 people of various nationalities, ages and cultural backgrounds. Proudly customer-first, our expert people are powered by global technology. Together, we offer unmatched services, helping local dreams become realities, all over the world. Learn more at www.careers.idp.com Role purpose The Data Analyst is responsible for elevating the marketing analytics practice to achieve a data-driven culture data-driven culture by utilizing his/her intensive data mining skills. He/she will work on all marketing channels of IDP - Web, events & others to support digital analytics initiatives to contribute to IDP s conversion. The resource will be responsible for analyzing all types of data to identify areas of opportunities and delivering actionable recommendations. He/she will have a strong background in web analytics implementation and data analysis and is able to bring data to life through storytelling and data visualization. Key accountabilities Data Analysis and Reporting: Track and analyse key metrics (traffic, leads, and other metrics) from various sources. Identify areas for improvement and measure the success of product launches and marketing campaigns through data analysis. Build compelling reports and visualisations to communicate insights to stakeholders. Partner with key stakeholders and digital marketing teams to implement and track analytics initiatives across teams; serve as contact for analytics/tracking requests. Assist in tag management services and user acceptance testing of site tags to maintain integrity across multiple sources of data. Digital / customer experience: Leverage data to gain insights into user behavior / experience to drive our user experience, digital & content marketing strategies. Design and document analytics tracking specifications for various digital channels, including web, mobile apps, etc. Understanding of different attribution models to choose the most appropriate one for specific needs. Forecasting and Planning: Collaborate with Marketing Director and Product Manager to forecast key metrics based on existing data and insights. Support in creating and maintaining project timelines based on team requirements. A/B Testing and Experimentation (desired): Partner with Product and Marketing teams to design and execute A/B tests to evaluate the effectiveness of marketing campaigns and product features. Communication & collaboration: Communication and Collaboration: Communicate effectively with both technical and non-technical audiences, including writing clear reports, delivering insightful presentations, and explaining complex concepts understandably. Collaborate effectively with cross-functional teams (Product, Marketing, Data Engineering) to achieve shared goals. Required experience Bachelor s Degree or equivalent experience and education At least 5-6 years of experience in digital analytics / E2E data analysis Passionate about data and leveraging its power to inform decision-making. Hands on experience with data wrangling / munging Adept at working independently and as part of a team. Eager to learn and continuously develop analytical skillset. Hands on experience with Google analytics (GA 3/ GA4) and Google Tag Manager Hands on experience with visualization tools viz. Power BI / Tableau Intermediate SQL knowledge Self-motivated, independent thinker

Forvia, a sustainable mobility technology leader We pioneer technology for mobility experience that matter to people. Your mission, roles and responsibilities Sr. Data Engineer Country/Region: Pune/India Contract Type: Full time New trends and expectations are reshaping the automotive industry. Inspired by the exciting new challenges associated with this revolution, Faurecia anticipates the future of mobility developing cutting-edge solutions for smart life on board and sustainable mobility. If you re willing to contribute and create value for tomorrow s cleaner and smarter mobility, Faurecia is the place to be. The Digital Services Factory (DSF) is a fast growing team in charge of providing AI solutions for manufacturing excellence and efficiency as well as for smart product development for the automotive industry. In order to meet the increasing expectations we are enriching our team by adding highly skilled resources. Overall responsibilities and duties: Data Mining from structured, semi-structure & unstructured data sources Develop Business intelligence dashboards & insights with datasets Ensure data quality, interpret & analyse the data problems Prepare data for prescriptive & predictive modelling Create ontologies for knowledge & data management Collaborate with business owners, IT Architects & Data Scientists Qualifications: Bachelors/Masters Degree in Computer Science Engineering Minimum 6 to 9 years of experience in working on industrial scale projects in Big Data. Hands on experience in building data models, data mining & segmentation Good knowledge of Big data eco systems (Spark & Hadoop) Good knowledge of python & SQL Knowledge of SQL & NoSQL Databases Knowledge of PowerBI Knowledge of Dataiku, Palantir is a plus Good communication skills in English Good logical & analytical thinking Your profile and competencies to succeed What we can do for you At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies. We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development. We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values. Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers. Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count. We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world) We offer a multicultural environment that values diversity and international collaboration. We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans. Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5 C. Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy. Why join us . . . .

About Lowe s Lowe s 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, Lowe s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe s 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. Lowe s India, the Global Capability Center of Lowe s 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, Lowe s 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 About the Team Merchandising Execution team is a perfect amalgamation of data, design and execution. Creating best customer-experience and seamless operations leveraging data driven insights best describes the role this team plays within Merchandising. Finding the right product in a category, then finding the right space in order to enhance performance and bring merchant strategy to life in store is where our passion lies. Job Summary: Build, maintain and deliver complex scorecards and dashboards to represent critical metrics through business and functional knowledge to ensure timely insights from the same are available to the Field & Sr. Leadership team. Perform data analysis and derive insights (via root cause analysis, trends/patterns, etc.) from the data points and share with concerned stakeholders. Roles & Responsibilities: Core Responsibilities: Identify data sources & streamline data pulls to be utilized in the MST Dashboard suite. Further, build & maintain weekly, quarterly and seasonal reporting, dashboards and scorecards. Deliver execution along with reporting within prescribed timelines with expected level of quality. Collaborate with local & global partners on regular basis to understand Business Area related processes / updates and bring back learnings to the team. In addition, solve for any function or Business Area related issues or discrepancies. Lead complex projects, while owning the transition of new process capabilities as well through collaboration with local & global stakeholders. As a functional SME, identify and drive process improvements & automation efforts by partnering with Product & Technology team. In addition, proactively provide insightful information like a though leader. Monitor process audits and partner with the team on implementing preventive & corrective action items. Publish monthly financials to track and monitor fiscal health. Build month end BPR / Postmortem reporting. Build global partnerships through regular interactions with local / global stakeholders for seamless execution. Work in a team environment with focus on achieving team goals vs individual goals by owning & implementing best practices. Act as a mentor for the new hires within the team. Years of Experience: 4-6 years of Retail Experience Education Qualification & Certifications (optional) Required Minimum Qualifications : Bachelors degree with 5-6 years of relevant experience Masters degree in data Analytics / Retail / Operations Management with 4+ years of relevant experience Skill Set Required Primary Skills (must have) Experience in Data mining and visualization tool such as Power BI, SQL, Excel and Knime/Alteryx Experience working with Power App & Power Automate Project Management (Intermediate) Experience / understanding of Retail Industry (local or global) Strong communication skills - ability to comprehend, articulate and seamlessly communicate locally and globally Process Improvement / Automation experience Problem Solving - ability to leverage data, information and visuals to solve business and execution challenges. Identify ways of improving process Experience working in Global Operating Model Secondary Skills (desired) Python

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC & Summary A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Job Position Title Senior Associate_ Data Analyst __Advisory Corporate_ Advisory _Bangalore Responsibilities Position Data Analyst / Senior Associate Experience 58 Years Location Bangalore Type Full Time Certifications NA About the Role We are on the lookout for a sharp, selfdriven Data Analyst with a strong command of SQL, Python, and relational databases. If solving complex data problems, building efficient data pipelines, and collaborating across teams excites you you ll thrive in this role. . Key Responsibilities Craft complex SQL queries and stored procedures for analytics and reporting. Build robust Python scripts for automation, file handling, data cleanup, and transformation using Pandas/NumPy. Design and manage scalable relational database schemas. Apply basic data modeling (star/snowflake) to support reporting needs. Optimize performance of queries and scripts on large datasets. Collaborate with crossfunctional teams to translate business needs into data solutions. Document processes for transparency and reuse. Required Skills Advanced SQL joins, window functions, stored procedures, tuning. Python scripting file I/O, string manipulation, exceptions, data wrangling. Solid grasp of relational DB design and performance optimization. Basic understanding of data modeling concepts. Sharp problemsolving and analytical thinking. Strong communicator with ability to engage stakeholders. Preferred Qualifications Exposure to cloud platforms (Azure, GCP, AWS, Snowflake). Exposure to Big data platforms. Familiarity with Git and CI/CD pipelines. Knowledge of ETL/ELT workflows. Mandatory skill sets Advanced SQL joins, window functions, stored procedures, tuning. Python scripting file I/O, string manipulation, exceptions, data wrangling. Solid grasp of relational DB design and performance optimization. Preferred skill sets Exposure to cloud platforms (Azure, GCP, AWS, Snowflake). Exposure to Big data platforms. Years of experience required Experience 58 Years Education qualification B.Tech / M.Tech / MCA/MBA Education Degrees/Field of Study required Master of Engineering, Bachelor of Technology, Master of Business Administration Degrees/Field of Study preferred Required Skills Structured Query Language (SQL) Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} Travel Requirements Government Clearance Required?

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC & Summary A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Job Position Title Senior Associate_ Power Bi Developer __Data & Analytics_ Advisory _Bangalore Responsibilities Position Power BI Developer / Senior Associate Experience 57 Years Location Bangalore Type Full Time Certifications NA About the Role We are seeking a skilled Power BI Developer with 57 years of relevant experience to join our dynamic team. The ideal candidate will have a strong background in data visualization, data modeling, and DAX (Data Analysis Expressions). You will be responsible for designing, developing, and maintaining business intelligence solutions to empower datadriven decisionmaking across the organization. Key Responsibilities Design, develop, and deploy Power BI reports and dashboards that provide actionable insights and support strategic decisionmaking. Collaborate with stakeholders to gather requirements and translate business needs into technical specifications. Create, maintain, and optimize data models, ensuring high performance and data integrity. Develop and implement DAX calculations and measures to enhance data analysis capabilities. Integrate Power BI with various data sources and ensure seamless data connectivity. Conduct data analysis to identify trends, patterns, and insights that drive business performance. Work closely with crossfunctional teams to understand data requirements and deliver solutions that meet business objectives. Troubleshoot and resolve issues related to Power BI reports and dashboards. Stay updated with the latest Power BI features and best practices to continuously improve BI solutions. Implement and manage drilldown functionalities, hierarchies, and interactive visuals to enhance user engagement and data exploration. Develop intuitive and userfriendly navigation paths within reports to allow users to easily access detailed data views. Required Skills Bachelor s degree in computer science, Information Technology, Data Analytics, or a related field. 57 years of experience in developing business intelligence solutions with Power BI. Strong proficiency in DAX and data modeling techniques. Experience with data visualization and creating interactive reports and dashboards. Solid understanding of relational databases, data warehousing concepts, and ETL processes. Experience with scenario handling, including drilldowns, hierarchies, and interactive visuals in Power BI. Monitor and enhance report performance through query optimization and efficient data modeling. Design and manage data refresh strategies using Power BI Service, Automate and monitor scheduled refreshes for reliability. Experience with SQL is a must. Excellent problemsolving skills and attention to detail. Ability to work independently and manage multiple projects simultaneously. Experience with Python or R is a plus. Familiarity with Azure services and cloud environments is desirable. Strong communication and interpersonal skills to effectively collaborate with stakeholders. Preferred Qualifications Experience with Python or R is a plus. Familiarity with Azure services and cloud environments is desirable. Strong communication and interpersonal skills to effectively collaborate with stakeholders. Mandatory skill sets Develop and implement DAX calculations and measures to enhance data analysis capabilities. Integrate Power BI with various data sources and ensure seamless data connectivity. Conduct data analysis to identify trends, patterns, and insights that drive business performance. Additional skill sets preferred Azure services and cloud environments is desirable. Preferred Skill SetsData modelling, python or R, ETL Years of experience required Experience 57 Years Education qualification B.Tech / M.Tech / MCA/MBA Education Degrees/Field of Study required Master of Business Administration, Bachelor of Technology, Master of Engineering Degrees/Field of Study preferred Required Skills Microsoft Power Business Intelligence (BI) Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} Travel Requirements Government Clearance Required?

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC & Summary A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities Position Data Analyst / Senior Associate Experience 58 Years Location Bangalore Type Full Time Certifications NA About the Role We are on the lookout for a sharp, selfdriven Data Analyst with a strong command of SQL, Python, and relational databases. If solving complex data problems, building efficient data pipelines, and collaborating across teams excites you you ll thrive in this role. . Key Responsibilities Craft complex SQL queries and stored procedures for analytics and reporting. Build robust Python scripts for automation, file handling, data cleanup, and transformation using Pandas/NumPy. Design and manage scalable relational database schemas. Apply basic data modeling (star/snowflake) to support reporting needs. Optimize performance of queries and scripts on large datasets. Collaborate with crossfunctional teams to translate business needs into data solutions. Document processes for transparency and reuse. Required Skills Advanced SQL joins, window functions, stored procedures, tuning. Python scripting file I/O, string manipulation, exceptions, data wrangling. Solid grasp of relational DB design and performance optimization. Basic understanding of data modeling concepts. Sharp problemsolving and analytical thinking. Strong communicator with ability to engage stakeholders. Preferred Qualifications Exposure to cloud platforms (Azure, GCP, AWS, Snowflake). Exposure to Big data platforms. Familiarity with Git and CI/CD pipelines. Knowledge of ETL/ELT workflows. Mandatory skill sets Advanced SQL joins, window functions, stored procedures, tuning. Python scripting file I/O, string manipulation, exceptions, data wrangling. Solid grasp of relational DB design and performance optimization. Preferred skill sets Exposure to cloud platforms (Azure, GCP, AWS, Snowflake). Exposure to Big data platforms. Years of experience required Experience 58 Years Education qualification B.Tech / M.Tech / MCA/MBA Education Degrees/Field of Study required Bachelor of Technology, Master of Business Administration Degrees/Field of Study preferred Required Skills Structured Query Language (SQL) Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} Travel Requirements Government Clearance Required?

Lead Generation Executive Experience: 0 - 3 Years Exp Salary: 2 LPA to 3 LPA Preferred Notice Period : Within 30 Days Opportunity Type: Office (Noida) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Lead Generation, PreSales, Data Mining Rannkly (One of Uplers' Clients) is Looking for: About Rannkly: Rannkly is a fast-growing SaaS platform helping brands manage their digital reputation, automate marketing, and drive customer engagement. We're expanding our business development team and looking for a passionate Lead Generation Executive who can help fuel our growth by identifying and connecting with potential clients. Job Overview: Key Responsibilities: Identify potential leads through online research, social platforms (LinkedIn, etc.), databases, and other sources. Qualify leads and maintain an organized and updated CRM with accurate lead information. Use tools like Lusha, Apollo.io, and Hunter.io for lead enrichment and verification. Conduct outbound campaigns using email marketing tools and CRM systems. Collaborate with the sales team to schedule meetings and follow up with prospects. Maintain a strong pipeline of high-quality leads to support business development targets. Track and report KPIs like conversion rate, response rate, etc. Requirements: 1-3 years of experience in lead generation or a similar role (preferably in a SaaS or IT company). Familiarity with tools like Lusha, CRM platforms (HubSpot, Zoho, etc.), and email campaign tools. Strong communication skills, both written and verbal. Proactive, self-motivated, and target-driven mindset. Ability to work independently and manage time effectively. Perks & Benefits: Work with a growing, innovative SaaS company Exposure to end-to-end B2B lead generation and business development Positive and collaborative work culture Performance-based growth opportunitie How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply and register or log in to our portal 2.Upload updated Resume & complete the Screening Form 3. Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Description Roles and responsibilities : Track multiple data sources for Monthly & Fortnightly Portfolio, Factsheet, Fund performance within the given time schedule and update compositions for all mutual fund, Insurance and Pension Fund schemes in the in-house Analytics Tool Search multiple data sources for other data set collections and update on Data Extraction Tool. Maintaining Operational Efficiency Conduct quality checks and validate all figures and disclosures prior to final publishing After final publication maintain quality checks with observation Manage timelines to ensure timely release of portfolio, factsheets and fund performance Create and Maintain internal MIS reports and maintain an audit trail of published data Regular co-ordination with senior member team during the operational work. Perform web data mining and additional information to substantiate more content. Skill, Knowledge & Trainings: Basic knowledge of Funds preferably Mutual Fund, Insurance and Pension Fund Service oriented attitude Strong arithmetic base Excellent attention to detail, ability to prioritize and multitask Good communication skills, Accuracy time management and co-ordination. Good working knowledge of MS Word, MS Excel etc.

The Pre-Sales Internship opportunity at Emsys Solutions in Nashik is ideal for MBA Freshers who are eager to kickstart their careers. As an intern, you will play a vital role in supporting telecalling and lead generation activities, assisting in data mining and market research, and collaborating with sales teams to engage with potential clients. You will have the opportunity to join analysis calls and participate in client requirement discussions, as well as contribute to the preparation of business proposals and sales documentation. Fluency in a regional language is a must for this role, and a working knowledge of Advanced Excel is also required. If you are a motivated MBA Fresher looking to gain hands-on experience in the pre-sales domain, this internship at Emsys Solutions could be the perfect opportunity for you. To apply for this position, please share your updated CV with us at hr@emsys.co.in.,

You will be responsible for interacting directly with the mortgage servicing organization to identify and analyze special assets in the default cycle. Your main tasks will include collecting and synthesizing a wide variety of information about each assigned special asset to create a comprehensive chronology of the default event timeline. By analyzing these chronologies, you will identify the next steps required to speed up the asset's closure through retention or liquidation strategies. Monitoring the implementation of the next step to ensure the closure of the default cycle will also be part of your role. Additionally, you will need to identify and track opportunities for improvement and may need to present information to external parties such as investors or clients. Your job functions and responsibilities will involve identifying data needs and facilitating the creation of reports and other data products utilizing servicing data. You will be required to identify and solve opportunities to automate processes related to the Special Assets Group's work. Presenting data for investor and client needs, comprehending information technology capabilities for process redesign, and working closely with the IT group to define application requirements will also be part of your duties. Monitoring the fulfillment of data products, maintaining an inventory of data products by client, and developing timely reporting of team efforts to meet goals and deadlines are essential tasks. Effective workload and work schedule management, participation in team and project meetings, and coordination of regular planning/debriefing meetings with business teams are also expected from you. To qualify for this role, you must hold a graduate degree from an accredited university in Finance, Accounting, Economics, Business, Computer Science, Engineering, or similar degrees focusing on mathematics or analysis. Understanding information management and general financial and accounting concepts, as well as having knowledge of loan servicing, are essential. Proficiency in Microsoft Access and Excel with a strong mathematical understanding, familiarity with data mining tools and/or SQL, and the ability to use various software applications are required skills. Furthermore, you must possess diagnostic skills to analyze technical, business, and financial issues, effective verbal and written communication skills, proven organizational skills, and the ability to prioritize assignments and handle multiple projects simultaneously. Building and maintaining effective business relationships, internal and external, effective time management skills, and a results-oriented team player attitude are crucial for this position. Additionally, you should be able to identify areas for continuous improvement, have shown effective performance in the last performance cycle, and have completed at least 9 months in the current role. Ocwen Financial Solutions Private Limited, a subsidiary of Onity Group Inc., is a leading non-bank mortgage servicer and originator providing solutions through its primary brands, PHH Mortgage and Liberty Reverse Mortgage. PHH Mortgage focuses on delivering various servicing and lending programs, while Liberty is dedicated to education and providing loans that meet customers" personal and financial needs. Onity Group Inc. and its subsidiaries are committed to helping homeowners and delivering exceptional service and value to customers, clients, and investors. At Onity Group Inc., employees are expected to interact with respect, courtesy, and professionalism, achieving results consistent with the CARE standards (Caring, Accurate, Responsive, and Empowered) and embodying the Service Excellence philosophy through caring service, integrity, and creative solutions.,

As a Customer 360 Data Intelligence professional, you will be responsible for analyzing data to provide valuable insights and drive business decisions. Your role will involve collecting, cleaning, and preparing data to ensure its accuracy and reliability. Proficiency in data analysis and visualization tools such as SQL, Power BI, and Advanced Excel with Power Query is essential for this position. Your strong analytical and problem-solving skills, coupled with attention to detail, will be key to identifying trends and patterns in the data. Effective communication and presentation abilities are also crucial for sharing your findings with stakeholders. You should be able to work both independently and collaboratively in a fast-paced environment, adapting to changing priorities and deadlines. While not mandatory, knowledge of machine learning and data mining techniques would be advantageous in this role. If you have proven experience in data analysis, business intelligence, or related fields, and are looking to contribute to a dynamic team, we encourage you to apply for this position.,

As an AVP, Marketing technology audience analyst at Synchrony, you will play a crucial role in understanding, building, and tracking audiences across various platforms to optimize current audience campaigns and shape future strategies. Your responsibilities will include performing audience analyses using internal and external data sources, creating data personas, and collaborating with marketing partners to identify trends and opportunities. Additionally, you will work closely with cross-functional teams to collect data for audience insights and manage the workflow for audience segments in programmatic and personalization campaigns. To excel in this role, you should possess a Bachelor's Degree with at least 5 years of experience in mining and analyzing digital audience performance in the financial domain. You should also have a strong background in enterprise-level data sciences, analytics, and customer intelligence, with a minimum of 3 years of experience in digital marketing within platforms such as CDP, DMP, DV360, Google Analytics, and more. Desired characteristics for this role include proven experience in analyzing massive data sets, proficiency in data mining techniques using programming languages like Python, SQL, and Java, and leadership skills in working with cross-functional partners to achieve mutual goals. Familiarity with analytic platforms and tools such as Hadoop, R, Hive, and Tableau, as well as knowledge of probability and statistics, machine learning, and artificial intelligence, are highly valued. You should be able to compile and analyze data from paid media and digital marketing campaigns, provide strategic recommendations to client/product teams, and demonstrate expertise in data management and analytics. Your ability to think creatively, synthesize insights, and lead strategic discussions will be essential in driving business decisions and achieving tangible results. Experience in Agile methodologies and consumer financial services organizations is a plus. If you meet the eligibility criteria of having a Bachelor's Degree with 5+ years of experience in digital audience performance analysis, or relevant experience without a degree, and are interested in working from 2:00 PM to 11:00 PM IST, you are encouraged to apply for this Level 10 role within the Marketing team at Synchrony.,

As a Data Scientist within the People Analytics team, you will lead and contribute to all phases of workforce analytics projects, from data acquisition and modeling to advanced analysis and implementation. Your work will directly support strategic decision-making across the employee lifecycle by uncovering actionable insights from complex, large-scale people data. You will design and build robust data models to support workforce planning, talent management, and organizational effectiveness. Additionally, you will apply machine learning (ML) and artificial intelligence (AI) techniques to identify patterns and predict outcomes related to employee engagement, retention, and performance. Conducting advanced data mining and pattern analysis to surface trends and anomalies in workforce behavior and organizational dynamics will also be a key responsibility. Collaboration with cross-functional teams, including HRBPs, IT, and business leaders, to implement data-driven solutions into products and service offerings is essential. Moreover, ensuring data integrity, privacy, and ethical use of employee data in all analytics initiatives is crucial. The ideal candidate should have a university degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Psychology) or an equivalent combination of education and experience. A minimum of 6 years of experience in data science, preferably with a focus on people analytics or HR-related domains, is required. Proficiency in Python, R, SQL, and data visualization tools (e.g., Power BI, Tableau) is necessary. Experience with cloud-based data platforms and ML frameworks is also expected. Strong communication skills and the ability to translate complex findings into business-relevant insights are essential for this role.,

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the team: Offline Payment vertical caters to our merchant partners by offering them products like QR code, Soundbox, EDC, Loan. Paytm has been a pioneer in the merchant space by introducing innovative solutions like QR codes to accept payments and Sound-box to recon payments by voice alerts. We are also distributing loans to these partners via our 'Paytm for Business' App. About the Role:- We are seeking an experienced Business Analyst to join our team. The successful candidate will be responsible for analyzing and interpreting complex data sets, identifying trends and insights, and developing actionable recommendations to support our product development and strategy. Responsibilities 1) Collaborate with cross-functional teams to understand business needs and translate them into data requirements. 2) Design, build, and maintain data pipelines to ensure accurate and timely collection, transformation, and analysis of data 3) Develop and maintain data dashboards, reports, and visualizations to communicate insights to stakeholders 3) Identify patterns and trends in data, and provide recommendations to improve product performance, adoption, user experience and business outcomes 4) Work with the product team to design and execute experiments to validate hypotheses and measure the impact of product changes 5) Develop and implement statistical models to support forecasting, predictive analytics, and optimization 6) Help define and monitor key performance indicators for commerce products 7) Identify opportunities for data-driven innovation and contribute to the development of new product features and capabilities. Qualifications: 1) Bachelor's or Master's degree in Mathematics, Statistics, Computer Science, or a related field 2) 4+ years of experience in data analysis, preferably in a business development environment 3) Strong analytical skills and experience with statistical analysis, data mining, and machine learning techniques 4) Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment 5) Experience with data visualization tools such as Google Data Studio or Looker. 6) Proficiency in SQL and experience with database systems such as MySQL, PostgreSQL, or HiveQL. 7) Expertise with programming languages such as Python or R is a plus Why join us We aim at bringing half a billion Indians into the mainstream economy, and everyone working here is striving to achieve that goal. Our success is rooted in our people’s collective energy and unwavering focus on the customers, and that’s how it will always be. We are the largest merchant acquirer in India. Compensation: If you are the right fit, we believe in creating wealth for you.With enviable 500 mn+ registered users, 21 mn+ merchants, and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!

Dont miss this opportunity to be part of the world-class 24*7 Global Solution Control and Command Center (GSCCC) coming up at Gurgaon, India- to transform the UOP LST Connected Solutions. It is a time to put your Technical Analytical Data Science, Machine learning, and business knowledge skills to extract technical insights from Customers live operating data. The work done in assembling and developing technical insights will help define the UOP Customer Experience and be the next critical milestone for your career. You will be an integrated network of technical professionals working together to provide outstanding technical insights. Customer Value is the GSCs key result to ensure we generate relevant insights from the extracted data for improved outcomes. Basic Candidate Qualification: BS degree in Chemical Engineering Additional Candidate Qualifications: Experience in design/operation of UOP Technology unit is essential in at least one of the technologies (Naphtha / Aromatics / Oleflex / PSA / Merox / Gas Processing/Hydroprocessing). Effective presentation, and communication skills Effective written and verbal skill to communicate UOP recommendations to the customer Passion for visualizing hidden relationships in technical data with ProSight Excellent verbal, written, interpersonal communication & effective presentation skills English language (oral and written) Ability to multi-task Be flexible to come in a shift as a replacement on short notice Continuous learning and research-oriented mindset. Ability to think out of the box: Ability to come up with bright ideas and always look at the next big thing in technology. Have strong analytical skills; be able to interpret data, identify trends, and make suggestions for improvements Basic Candidate Qualification: BS degree in Chemical Engineering Additional Candidate Qualifications: Experience in design/operation of UOP Technology unit is essential in at least one of the technologies (Naphtha / Aromatics / Oleflex / PSA / Merox / Gas Processing/Hydroprocessing). Effective presentation, and communication skills Effective written and verbal skill to communicate UOP recommendations to the customer Passion for visualizing hidden relationships in technical data with ProSight Excellent verbal, written, interpersonal communication & effective presentation skills English language (oral and written) Ability to multi-task Be flexible to come in a shift as a replacement on short notice Continuous learning and research-oriented mindset. Ability to think out of the box: Ability to come up with bright ideas and always look at the next big thing in technology. Have strong analytical skills; be able to interpret data, identify trends, and make suggestions for improvements Be agile, innovative, and customer focused. Review operations with customers and assist with defining and quantifying customer benefits Monitoring different UOP technologies processes and identifying areas for improvement/optimization and assets requiring enhanced focus. Provide readily available technical solutions/ work to get the solution to our customers. Initial triage of technical issues with the escalation process to TS. Proactively communicate insights from trends, establish patterns, diagnostic investigations, and solutions to prevent future issues. Ensure monitoring of all solutions by troubleshooting the PM / PTA / PRA / POA / Benchmarking / EBA`s /Data Science /Future Solutions on time to ensure high on-screen availability of the running solutions Apply data mining to handle unstructured data to derive technical insights. Perform descriptive and inferential statistics to summarize datasets. Derive problem statement from ambiguous data, create a hypothesis, use analytics technology and tools to test hypothesis and form conclusions Analysis of large amounts of historical data, determining suitability for modeling, data clean-up and filtering, pattern identification, and variable creation, applying automated predictive analytics. The focus is to support products, systems, and solutions through designing and developing pipelines. Work with the team to innovate - next-generation BIG DATA monitoring tools (Analytics using exception-based /Artificial Intelligence/Machine Learning) and build an operation dashboard for the GSCs sustainability & efficient operation. Align with the Intention of the LST Business and ensure collective commitment to the GSCs Key results. Part of 24* 7 Operation of GSCCC Digital Insight Working in a 24*7 Shift is an integral part of this role. Work with the GSCCC Operation leader closely to make GSC a Center of Excellence Be agile, innovative, and customer focused. Review operations with customers and assist with defining and quantifying customer benefits Monitoring different UOP technologies processes and identifying areas for improvement/optimization and assets requiring enhanced focus. Provide readily available technical solutions/ work to get the solution to our customers. Initial triage of technical issues with the escalation process to TS. Proactively communicate insights from trends, establish patterns, diagnostic investigations, and solutions to prevent future issues. Ensure monitoring of all solutions by troubleshooting the PM / PTA / PRA / POA / Benchmarking / EBA`s /Data Science /Future Solutions on time to ensure high on-screen availability of the running solutions Apply data mining to handle unstructured data to derive technical insights. Perform descriptive and inferential statistics to summarize datasets. Derive problem statement from ambiguous data, create a hypothesis, use analytics technology and tools to test hypothesis and form conclusions Analysis of large amounts of historical data, determining suitability for modeling, data clean-up and filtering, pattern identification, and variable creation, applying automated predictive analytics. The focus is to support products, systems, and solutions through designing and developing pipelines. Work with the team to innovate - next-generation BIG DATA monitoring tools (Analytics using exception-based /Artificial Intelligence/Machine Learning) and build an operation dashboard for the GSCs sustainability & efficient operation. Align with the Intention of the LST Business and ensure collective commitment to the GSCs Key results. Part of 24* 7 Operation of GSCCC Digital Insight Working in a 24*7 Shift is an integral part of this role. Work with the GSCCC Operation leader closely to make GSC a Center of Excellence

Position Summary: Interact directly with the mortgage servicing organization to identify and analyze special assets in the default cycle. Collect and synthesize a wide variety of information about each assigned special asset to create a comprehensive chronology of the default event timeline. Analyze chronologies to identify next steps to speed the asset to closure through retention or liquidation strategies. Monitor the implementation of the next step to ensure closure of the default cycle. Identify and track opportunities for improvement. As necessary, present information to external parties such as investors or clients. Job Functions and Responsibilities: Identifies data needs and facilitates the creation of reports and other data products utilizing servicing data. Identify and solve opportunities to automate the processes related to the work of the Special Assets Group. Presents data for investor and client, end-user and management needs. Comprehends the general capabilities of information technology and applications well enough to identify opportunities for process redesign and improvement. Works closely with the information technology group to define application requirements that enable reporting. Monitor the fulfillment of data products to ensure they are sent timely and are accurate. Maintain an inventory of data products by client and maintain data dictionaries for each product. Develop and implement timely reporting of assigned team efforts to meet established goals and deadlines. Effectively manage workloads and work schedules. Participate in team and project meetings, plan and coordinate meetings as necessary. Coordinate and participate in regular planning/debriefing meeting with the business team(s). Qualifications: Any graduate from an accredited university in Finance, Accounting, Economics, Business, Computer Science, Engineering or similar degrees concentrating on mathematics or analysis Understands information management and general financial and accounting concepts Knowledge of loan servicing Proficient with Microsoft Access and Excel with excellent mathematical understanding Familiar with data mining tools and/or SQL Ability to use Access, Visio, Microsoft Outlook, PowerPoint, and Word Diagnostic skills with the ability to analyze technical, business, and financial issues and alternatives Effective verbal (negotiating and presentation) and written communication skills Proven organizational skills, ability to effectively prioritize assignments and handle multiple projects/assignments Ability to read, understand, and analyze loan documents Ability to build and maintain effective business relationships, internal and external Ability to work well with associates, managers, and senior leaders Effective time management skills enabling achievement of deadlines in a timely manner A results-oriented team player demonstrating motivation for high-performance. Ability to identify areas for continuous improvement and make recommendations No documented disciplinary action in the past 12 months. Should have an Appraisal rating of Effective Performance or above in the last completed performance cycle. Should have completed 9 months in the current role

Position Summary: Interact directly with the mortgage servicing organization to identify and analyze special assets in the default cycle. Collect and synthesize a wide variety of information about each assigned special asset to create a comprehensive chronology of the default event timeline. Analyze chronologies to identify next steps to speed the asset to closure through retention or liquidation strategies. Monitor the implementation of the next step to ensure closure of the default cycle. Identify and track opportunities for improvement. As necessary, present information to external parties such as investors or clients. Job Functions and Responsibilities: Identifies data needs and facilitates the creation of reports and other data products utilizing servicing data. Identify and solve opportunities to automate the processes related to the work of the Special Assets Group. Presents data for investor and client, end-user and management needs. Comprehends the general capabilities of information technology and applications well enough to identify opportunities for process redesign and improvement. Works closely with the information technology group to define application requirements that enable reporting. Monitor the fulfillment of data products to ensure they are sent timely and are accurate. Maintain an inventory of data products by client and maintain data dictionaries for each product. Develop and implement timely reporting of assigned team efforts to meet established goals and deadlines. Effectively manage workloads and work schedules. Participate in team and project meetings, plan and coordinate meetings as necessary. Coordinate and participate in regular planning/debriefing meeting with the business team(s). Qualifications: Any graduate from an accredited university in Finance, Accounting, Economics, Business, Computer Science, Engineering or similar degrees concentrating on mathematics or analysis Understands information management and general financial and accounting concepts Knowledge of loan servicing Proficient with Microsoft Access and Excel with excellent mathematical understanding Familiar with data mining tools and/or SQL Ability to use Access, Visio, Microsoft Outlook, PowerPoint, and Word Diagnostic skills with the ability to analyze technical, business, and financial issues and alternatives Effective verbal (negotiating and presentation) and written communication skills Proven organizational skills, ability to effectively prioritize assignments and handle multiple projects/assignments Ability to read, understand, and analyze loan documents Ability to build and maintain effective business relationships, internal and external Ability to work well with associates, managers, and senior leaders Effective time management skills enabling achievement of deadlines in a timely manner A results-oriented team player demonstrating motivation for high-performance. Ability to identify areas for continuous improvement and make recommendations No documented disciplinary action in the past 12 months. Should have an Appraisal rating of Effective Performance or above in the last completed performance cycle. Should have completed 9 months in the current role

The job profile for this position is Software Engineering Analyst, which is a Band 2 Senior Contributor Career Track Role. Excited to grow your career? We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position, you see is right for you, we encourage you to apply! Our people make all the difference in our success. We are looking for exceptional software engineers/developers in our PBM Plus Technology Organization. This role will require a Java Developer completing delegated tasks assigned by a supervisor in the Engineering job family and will work on developing RESTful, Microservices and deploying in on prem and/or AWS infrastructure. They are expected to work closely with Subject Matter Experts, developers, and business stakeholders to ensure that application solutions meet business/customer requirements. Responsibilities Delivers specific delegated tasks assigned by a supervisor in the Engineering job family, supporting the full software lifecycle of design, development, testing, and support for technical delivery. Designs, develops and implements standardized methods, processes and systems and data mining tools. Completes day-to-day Information Management tasks without immediate supervision but has ready access to advice from more experienced team members. Tasks involve a degree of forward planning and anticipation of needs/issues. Works with both onsite (Scrum Master, Product, QA and Developers) and offshore QA team members in properly defining testable scenarios based on requirements/acceptance criteria. Participate in daily team standup meetings where youll give and receive updates on the current backlog and challenges. Qualifications Required Skills: Experience writing SQL queries to check the data in databases such as Oracle, MongoDB Working knowledge of GIT Repository, CICD (Jenkins) & Splunk. Experience in cloud technology such as PCF, Open Shift, AWS highly desirable. Knowledge of agile software development life cycle methodology. Prior industry experience (Pharmacy, Healthcare, etc.) preferred. Must have good analytical and problem solving skills. Must have good communications skills both verbal and written. Required Experience & Education: High School diploma or equivalent required. College degree preferred, but not required. 2-3 years of experience in developing Java services or API using Spring Boot. These two sections will be standardized in the JD template and made not editable. Location & Hours of Work Full-time position, working 40 hours per week. Expected overlap with US hours as appropriatePrimarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)

Position Overview As an Application Development Analyst, you will be part of a team of analysts and engineers-on code triage and analysis, and quick fixes for issues impacting the Evernorth applications. The focus of the work is to identify and rectify any technical and functional challenges in Evernorth market-winning capabilities in the technology solutions space. Responsibilities Be a team contributor in a team of Engineers and Analysts in triaging technical and functional issues. Day to day ticket triage, monitoring of the ticket queues. Monitor OL comment trends. Regression Checkouts adhoc and planned. Create, co-ordinate and track resolution of stories required for fixing tickets. Data mining for checkouts Monitoring Jobs and reacting to job issues Release checkout pocs Ad hoc data research On call support should be able to arrive in any of 2 shifts. Rotate over weekends, with weekday comp offs. Qualifications: 1 - 3 years of Years experience in application evelopment or maintenance College degree (Bachelor) in related technical/business areas or equivalent work experience. Experience with Java/Spring Boot Experience using Splunk and Dynatrace Basic knowledge with any of the following technologies : Angular , Python, Mongo DB, Node JS and ability to understand complex architectures. Strong analytical skills Demonstrate ability to perform root analysis and suggest rectification options. Preferred Qualifications: College degree (BE or MCA). Exposure to Production environments Industry / Domain Experience Needed: Demonstrated experience in production maintenance. Ability to navigate a geographically diverse team and communicate effectively. Familiarity with cloud-based architecture and its usage in complex applications Passion for analysis and learning to grow, adapt to a fast-changing environment. Location & Hours of Work Full-time position, working 40 hours per week. Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required .

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

Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones. Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when theyre supported to live their best lives, and when they feel welcome to bring their whole selves to work. Thats one reason why diversity and inclusion are core to our business. Join Evolent for the mission. Stay for the culture. What You ll Be Doing: Senior ML Engineer We are seeking a highly experienced and innovative Senior Machine Learning Engineer to take end-to-end ownership of machine learning applications that directly impact our products and services. You will lead the design, development, release, and advancement of robust ML models, working closely with product owners, clinical stakeholders, and cross-functional engineering teams. Your role will be pivotal in translating complex business and clinical requirements into scalable, production-ready ML solutions. You ll be responsible not only for building models but also for managing their lifecycle from experimentation and validation to deployment, monitoring, and continuous improvement. This is a high-impact role for someone who thrives on accountability, collaboration, and delivering real-world value through machine learning. What You Will Be Doing: Design, develop, and deploy advanced machine learning models and algorithms to primarily improve the performance of our prior authorization platforms Construct advanced SQL queries, perform preprocessing, feature engineering, and transformations to analyze healthcare data and ensure high quality input for model training Collaborate with Product and Engineering teams to integrate and deploy ML models into development and production environments, spread across various locations in the US and India Work closely with clinicians and stakeholders to drive the development, efficacy, and improvement of our ML models Work with Infrastructure and Architecture teams to drive model efficiency, reliability, and scalability Leverage Azure DevOps for continuous integration and continuous deployment (CI/CD) of ML models Lead Machine Learning Operations (MLOps) to streamline the process of bringing a machine learning model into production, maintain, monitor, and identify opportunities for improvement Perform data mining as necessary to uncover insights, drive decision-making, and determine best channel approaches to drive automation across our platforms Implement feature flagging to rapidly pilot model enhancements, exception handling, and performance optimization Translate complex technical details into clear, actionable insights for stakeholders by telling stories through data Stay current with the latest advancements in ML and AI; testing and integrating new techniques into existing applications Mentor and guide junior engineers, fostering a culture of continuous learning and improvement Required Qualifications: Bachelor s Degree in Computer Science, Machine Learning, Data Science, or a related field Proficiency in Python for constructing data pipelines, and using ML frameworks and libraries such as Keras, PyTorch, Scikit-Learn, TensorFlow, and XGBoost Expertise in statistical methods, data structures, algorithms, feature engineering, transformations, and data mining 2+ years advanced experience in SQL, including experience writing new and efficient SQL queries for complex analytical tasks 2+ years of experience developing in a cloud environment (AWS, GCS, Azure) 2+ years of experience with Github, Github Actions, CI/CD, and source control 2+ years working within an Agile environment Passion for solving problems within healthcare that have tangible impacts on healthcare operations and patient lives Excel in solving ambiguous and complex problems, being able to navigate through uncertain solutions, breaking down complex challenges into manageable components, and developing innovative solutions Preferred Qualifications: Master s Degree or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field Healthcare experience, particularly using administrative and prior authorization data Proven experience with developing and deploying ML systems into production environments Proficiency using Azure cloud-based services and infrastructure, Azure ML Studio, and Azure MLOps Experience working with Product, Engineering, Infrastructure, and Architecture teams Experience with deep learning, reinforcement learning, NLP, and LLMs Experience with feature flagging Publications or contributions to the machine learning community To comply with HIPAA security standards (45 C.F.R. sec. 164.308 (a) (3)), identity verification may be required as part of the application process. This is collected for compliance and security purposes and only reviewed if an applicant advances to the final interview state. Reasonable accommodations are available upon request. Technical Requirements: We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations. Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. If you need reasonable accommodation to access the information provided on this website, please contact recruiting@evolent.com for further assistance. The expected base salary/wage range for this position is $. This position is also eligible for a bonus component that would be dependent on pre-defined performance factors. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts.

YOUR ROLE We are seeking a talented and driven Kinaxis Lead to join our team. The ideal candidate will be responsible for collecting, analysing, and interpreting complex data sets to drive informed business decisions. You will work closely & Directly with the Client & cross-functional teams to identify trends, patterns, and insights that will contribute to our company"s growth. In this role you will play a key role in Perform detailed discovery sessions with business users to understand and document Rapid Response configuration requirements, includingthe customers supply chain network, operating model, system landscape, planning processes, as well as objectives and targets for Kinaxis implementation. Select standard functionalities in Rapid Response and design data model changes, solution configuration and customizations. Lead solution blueprinting and detailed design activities and assign configuration tasks to project members according to their skills, review deliverables and track completion. YOUR PROFILE Should have 4 to 14 years of experience in Kinaxis Certified as a Kinaxis Solution Architect or has completed all requirements for Kinaxis Solution Architect certification. Thorough understanding of supply chain planning concepts, processes (demand planning, supply planning, inventory management, S&OP, etc.), KPIs and best practices in supply chain planning Strong analytical skills, data mining knowledge, and proficiency in handling and processing large volumes of data. Ability to identify key insights and critical thinking to prioritize. WHAT YOU"LL LOVE ABOUT WORKING HERE You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work. Were committed to ensure that people of all backgrounds feel encouraged and have a sense of belonging at Capgemini. You are valued for who you are, and you can bring your original self to work. At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges. Location - Tiruchirapalli,Mumbai,Salem,Bengaluru,Noida,Chennai,Pune

Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports. - Grade Specific Oversees the data science function within an organization and plays a crucial role in leveraging data-driven insights to drive business growth and innovation