1830 Data Mining Jobs - Page 48

Role Overview: We are looking for a confident Security Engineer/Researcher position with experience in IT-Security for our Core Research labs in India. McAfee believes that no one person, product, or organization can fight cybercrime alone. Its why we rebuilt McAfee around the idea of working together. Life at McAfee is full of possibility. You ll have the freedom to explore challenges, take smart risks, and reach your potential in one of the fastest-growing industries in the world. You ll be part of a team that supports and inspires you. This is a hybrid position based in Bangalore. You must be within a commutable distance from the location. You will be required to be onsite on an as-needed basis; when not working onsite, you will work remotely from your home location About the Role: Understand threat telemetry trends and identify patterns to reduce time to detect. Develop automation to harvest malware threat intelligence from various sources such as product telemetry, OSINT, Dark Web monitoring, spam monitoring, etc. Develop early identification and alert systems for threats based on various online platforms and product telemetry. Utilize various data mining tools that analyze data inline based on intelligence inputs. Analyze malware communication and techniques to find Indicators of Compromise (IOC) or Indicators of Attack (IOA). Authoring descriptions for malware either via McAfee Virus Information Library, Threat Advisories, Whitepapers, or Blogs. About You: You should have 7+ years of experience as a security/threat/malware analyst. Programming Skills Knowledge of programming languages like Python and its packages like NumPy, Matplotlib, and Seaborn is desirable. Data source accesses like Spark and SQL are desirable. Machine Learning knowledge is added advantage. Familiarity with UI & dashboard tools like Jupyter and Databricks is an added advantage. Excellent Communication Skills It is incredibly important to describe findings to a technical and non-technical audience. #LI-Hybrid Company Overview McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment. Company Benefits and Perks: We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Bonus Program Pension and Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement Were serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Natural Language Processing (NLP) Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As an AI/ML Engineer specializing in Natural Language Processing (NLP), you will be responsible for developing applications and systems that utilize AI to improve performance and efficiency. Your typical day will involve working with deep learning, neural networks, chatbots, and NLP to create innovative solutions for our clients. Roles & Responsibilities: - Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. - Design and develop NLP-based applications and systems using deep learning, neural networks, and chatbots. - Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions. - Implement and optimize NLP algorithms and models to improve performance and accuracy. - Stay up-to-date with the latest advancements in NLP and AI technologies and integrate innovative approaches for sustained competitive advantage. - Communicate technical findings effectively to stakeholders, utilizing data visualization tools for clarity. - Build predictive models, develop advanced algorithms that extract and classify information from large datasets quantify model performance - Evaluate emerging technologies that may contribute to our analytical platform Identify and exploit new patterns in data using various techniques - Worked with ML data mining toolkits like NLP, Semantic Web, R, Core NLP, NLTK etc. Information retrieval libraries like Lucene, SOLR fast paced, test driven, collaborative and iterative programming environment Professional & Technical Skills: - Able to engage with customers for solving business problems leveraging Artificial Intelligent, Machine Learning - Solid understanding of machine learning algorithms and statistical analysis. Also, good understanding of machine learning algorithms such as CRFs , SVM - Identifying applicability of Machine Learning, Natural Language Processing (NLP) to use cases with ability to project both the business, Technology benefits - Experience in implementing various NLP algorithms and models. - Identify ways of embedding, integrating Artificial Intelligent, Machine Learning services into the enterprise architecture seamlessly - Keep abreast of new technology innovations in the field of Machine Learning, Natural Language Processing (NLP) bring it - Working experience in any of the NLP application areas, Sematic Web and Ontologies Machine Translation, Sentiment Analysis Document Classification, Question Answer Matching, Text Summarization - Have worked with RNN, LSTM etc. - Work exp in creating NLP pipelines for processing large amount of document corpus - Expertise with Python Additional Information: - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. -Be a self-starter and a fast learner - Possess strong problem-solving skills with the ability to methodically analyze and resolve tech challenges - Possess strong written, verbal, communication, analytical, technical, inter-personal and presentation skills

& Summary At PwC, our people in strategy consulting focus on providing strategic guidance and insights to organisations. They analyse market trends, assess business performance, and develop recommendations to help clients achieve their goals. These individuals work closely with clients to identify opportunities for growth, optimise operations, and enhance overall business performance. As a corporate and business strategy consultant at PwC, you will analyse client needs, provide consulting services across different strategic areas, and offer guidance and support to help clients develop and implement effective strategies that align with their business objectives and drive growth. & Summary P wC actively works as a management advisor to leading telecommunications and IT market players across the value chain, including fixed, cable and convergent service providers,mobile operators, tower operators telecom regulators, industry bodies etc. Ou rManagement Consulting TMT practice in India focuses on bringing together our Indian and global network resources around our clients needs, creating teams to help respond to challenges around almost every dimension of their business. Our clients are majorly spread across India, Africa, Middle East and South East Asia. Roles & Responsibilities A brief description of the work and roles and responsibilities are as below Candidate to have strong subject matter knowledge and think creatively to solve largescale problems for telecom clients across India and global markets. We look for selfdriven individuals that can work effectively in an unstructured work environment and work very closely with project teams to support clients needs. Understand and define the business problem and cocreate the proposed solution. Leverage essential knowledge of the leading practices in the industry to develop project scope and approach to solve client problems Perform quantitative and qualitative analysis including data mining, analysis, financial models, perform market and secondary research to collect business intelligence and insights Work collaboratively with the team in developing project deliverables meeting and exceeding PwCs client service and quality standards Deliver all client commitments within time/budget constraints Drive business development opportunities by proactively translating thought leadership and delivery execution to follow on project opportunities and analysis into consulting Develop internal knowledge collateral to help drive the thought leadership within and outside the firm Willing to travel internationally and work on site 5070% of the time at client locations. . Mandatory skill sets Essential Skills Essential Skills Excellent Interpersonal skills and ability to deal with top corporate clients, large enterprises including CXOs and Senior leadership. Consulting experience with similar firms or in industry. Candidate should be self drivenwith an ability to deliver in high pressure environment Excellent research, problem solving and analytical skills Attention to detail to ensure high quality output Preferred skill sets Good to have Experience in the areas of business process review/analysis, process design and re engineering pertaining to Telecom sector particularly in the following areas 1. Asset Lifecycle Management Processes 2. Procurement and Inventory Process 3. Financial Operations and Planning (including AP and AR) Processes 4. Business Governance Processes Experience with process tools such as ARIS, Signavio etc. Experience or certification in relevant process frameworks and standards like BPM, eTOM , ITIL, ITAM, SCOR etc Years of experience required 6+ experience across consulting or telecommunications industry (consulting experience preferable) Excellent verbal and written communication, and presentation skills Advance working knowledge of with MSOffice tools (Excel, Power Point, Visioand other tools). Education qualification MBA/BE/ B.Tech /CA with relevant qualification in Telecom and equivalent Education Degrees/Field of Study required Master of Business Administration, Chartered Accountant Diploma, Bachelor of Technology, Bachelor of Engineering Degrees/Field of Study preferred Required Skills AML Monitoring Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Analysis, Business Opportunities, Business Process Consulting, Business Process Improvement, Business Strategy, Business Transformation, Coaching and Feedback, Communication, Competitive Advantage, Competitive Analysis, Conducting Research, Consumer Behavior, Creativity, Customer Experience (CX) Strategy, Customer Insight, Customer Strategy, Data Analytics, Embracing Change, Emotional Regulation, Empathy, GotoMarket Strategies {+ 19 more} Travel Requirements Government Clearance Required?

& Summary At PwC, our people in strategy consulting focus on providing strategic guidance and insights to organisations. They analyse market trends, assess business performance, and develop recommendations to help clients achieve their goals. These individuals work closely with clients to identify opportunities for growth, optimise operations, and enhance overall business performance. As a corporate and business strategy consultant at PwC, you will analyse client needs, provide consulting services across different strategic areas, and offer guidance and support to help clients develop and implement effective strategies that align with their business objectives and drive growth. & Summary P wC actively works as a management advisor to leading telecommunications and IT market players across the value chain, including fixed, cable and convergent service providers,mobile operators, tower operators telecom regulators, industry bodies etc. Ou rManagement Consulting TMT practice in India focuses on bringing together our Indian and global network resources around our clients needs, creating teams to help respond to challenges around almost every dimension of their business. Our clients are majorly spread across India, Africa, Middle East and South East Asia. Roles & Responsibilities A brief description of the work and roles and responsibilities are as below Candidate to have strong subject matter knowledge and think creatively to solve largescale problems for telecom clients across India and global markets. We look for selfdriven individuals that can work effectively in an unstructured work environment and work very closely with project teams to support clients needs. Understand and define the business problem and cocreate the proposed solution. Leverage essential knowledge of the leading practices in the industry to develop project scope and approach to solve client problems Perform quantitative and qualitative analysis including data mining, analysis, financial models, perform market and secondary research to collect business intelligence and insights Work collaboratively with the team in developing project deliverables meeting and exceeding PwCs client service and quality standards Deliver all client commitments within time/budget constraints Drive business development opportunities by proactively translating thought leadership and delivery execution to follow on project opportunities and analysis into consulting Develop internal knowledge collateral to help drive the thought leadership within and outside the firm Willing to travel internationally and work on site 5070% of the time at client locations. . Mandatory skill sets Essential Skills Essential Skills Excellent Interpersonal skills and ability to deal with top corporate clients, large enterprises including CXOs and Senior leadership. Consulting experience with similar firms or in industry. Candidate should be self drivenwith an ability to deliver in high pressure environment Excellent research, problem solving and analytical skills Attention to detail to ensure high quality output Preferred skill sets Good to have Experience in the areas of business process review/analysis, process design and re engineering pertaining to Telecom sector particularly in the following areas 1. Asset Lifecycle Management Processes 2. Procurement and Inventory Process 3. Financial Operations and Planning (including AP and AR) Processes 4. Business Governance Processes Experience with process tools such as ARIS, Signavio etc. Experience or certification in relevant process frameworks and standards like BPM, eTOM , ITIL, ITAM, SCOR etc Years of experience required 6+ experience across consulting or telecommunications industry (consulting experience preferable) Excellent verbal and written communication, and presentation skills Advance working knowledge of with MSOffice tools (Excel, Power Point, Visioand other tools). Education qualification MBA/BE/ B.Tech /CA with relevant qualification in Telecom and equivalent Education Degrees/Field of Study required Master of Business Administration, Chartered Accountant Diploma, Bachelor of Technology, Bachelor of Engineering Degrees/Field of Study preferred Required Skills AML Monitoring Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Analysis, Business Opportunities, Business Process Consulting, Business Process Improvement, Business Strategy, Business Transformation, Coaching and Feedback, Communication, Competitive Advantage, Competitive Analysis, Conducting Research, Consumer Behavior, Creativity, Customer Experience (CX) Strategy, Customer Insight, Customer Strategy, Data Analytics, Embracing Change, Emotional Regulation, Empathy, GotoMarket Strategies {+ 19 more} Travel Requirements Government Clearance Required?

Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India s first impact university, we are committed to revolutionizing learning, empowering students, and shaping the future of the tech industry. Backed by renowned professionals and industry leaders, we aim to solve the employability challenge and create a lasting impact on society. We are currently looking for a Data Engineer + Subject Matter Expert - Data Mining to join our Computer Science Department. This is a full-time academic role focused on data mining, analytics, and teaching/mentoring students in core data science and engineering topics. Key Responsibilities: Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", BigData and Data Analytics courses, covering the full syllabus from foundational concepts to advanced techniques. Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering. Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering and Anomaly Detections. Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software. Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs). Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle). Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge. Contribute to the academic and research environment of the department and the university. Required Qualifications: A Ph.D. (or a Masters degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field. Demonstrable expertise in the core concepts of data engineering and machine learning as outlined in the syllabus. Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn). Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging. Excellent communication and interpersonal skills. Preferred Qualifications: A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals. Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role. Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch). Experience in mentoring student teams for data science competitions or hackathons. Perks & Benefits: Competitive salary packages aligned with industry standards. Access to state-of-the-art labs and classroom facilities. To know more about us, feel free to explore our website: Newton School of Technology We look forward to the possibility of having you join our academic team and help shape the future of tech education! Newton School of Technology is on a mission to transform technology education and bridge the employability gap. As India s first impact university, ...

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? Responsible for contacting clients with overdue accounts to secure the settlement of the account. Also they do preventive work to avoid future over dues with accounts that have a high exposure. The Global Risk & Compliance (GRC) group within American Express is responsible for providing oversight and governance of risks to ensure that the company operates in a safe and sound manner within regulatory expectations. In a world increasingly subject to digitalization and the use of technology, technology risk management has become increasingly significant across organizations, becoming one of the key themes at board meetings. Cyberattacks have become increasingly commonplace and the trend continues to move upward. This individual contributor role is part of the second line technology risk management team within the GRC group, headed by the Chief Risk Officer (CRO) of the company. This is a unique opportunity to work with a team of diverse and talented professionals who are responsible for building the technology risk management program and providing independent risk oversight to the Information Technology (IT), Information Security (IS) and Business Continuity management (BCM) risks. Reporting to the Manager for Cybersecurity, Technology, and Resiliency Risk oversight, this position is responsible for supporting independent assessments and reporting of risks. The risks identified by this team are reported to the Senior Management, Risk Management Committees, Board of Directors, and Regulators. This position will be responsible for effectively collaborating with key stakeholders across lines of business and lines of defense to ensure risks are managed effectively and efficiently in accordance with the company policies and applicable regulatory requirements. Essential Job Functions: Assist in identifying and assessing IT and IS risks across applications, infrastructure, and third-party vendors. Support IT and IS risk assessments and recommend mitigation strategies. Monitor IT and IS risk trends and emerging threats to provide proactive recommendations. Assist in the testing and validation of IT and IS controls. Prepare IT and IS risk reports and dashboards for management review. Support internal and external audits related to IT and IS risk. Support the implementation of IT and IS risk management frameworks, policies, standards, and procedures. Maintain IT and IS risk registers and track remediation efforts for identified risks. Support independent, proactive risk management and oversight of information technology, information security and business continuity management risks generated within business processes or that occur due to use of Technology. Support data-driven reviews focused on technology, cyber security, and business continuity management risks. Support development and enhancement of data-driven key risk indicators and key performance indicators that provide real time and meaningful insights into the risk and performance trends. Stay knowledgeable of relevant regulations, guidelines & industry standards. Support the design of independent Information Technology risk oversight program which defines the engagement and integration with various risk management programs, including Risk and Control Self Assessments, Business Continuity Management, New Product Approval, Mergers & Acquisitions etc. Required Qualifications: Bachelor s Degree in related field. 3 + years of experience in IT and IS risk management across any of the three lines of defense. Proven ability to identify risks, analyze issues and derive meaningful insights about risk trends. by conducting interviews and analyzing large volumes of data. Excellent analytical skills with high attention to detail and accuracy. Excellent critical thinking and problem-solving skills. Excellent verbal, written and interpersonal communication skills. Willingness to challenge traditional thinking by actively engaging in constructive dialogue. Preferred: Educational background: Computer Science or Information Systems. Experience in risk management across cyber security, information technology, third party, business continuity management. Working knowledge of one or more of the data mining tools/technologies (e.g., Microsoft Excel: Pivot Tables SQL, SAS, Python, R). Industry certifications (e.g., CISSP, CISM, CISA, CRISC, ITIL, CBCM, CBCP, CBCI). Understanding of risk assessment methodologies, frameworks, and industry standards (e.g., COSO, COBIT, ISO 27001, ISO/IEC 20000-1, ISO 22301, FAIR or NIST RMF). Knowledge of relevant policies & regulations (e.g., OCC Heightened Standards, FFIEC IT booklets). Experience with Governance, Risk and Compliance tools (e.g., Archer)

Software Engineering Senior Analyst Position Overview The job profile for this position is Software Engineering Senior Analyst. 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 Full Stack developer (React) completing delegated tasks assigned by a supervisor in the Engineering job family and will work on developing RESTful, Microservices Integrations, React UI components development 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 In developing reusable React UI components, able to write Restful webservices Proven record of working on complex UI component development and integration with Redux, JavaScript, TypeScript, HTML, CSS Exposure of Micro products development and integration Working knowledge of GIT Repository, CICD (Jenkins) & Splunk. Must have good analytical and problem-solving skills. Must have good communications skills both verbal and written. Preferred Skills: Experience in any cloud technology such as PCF, Open Shift, AWS highly preferred. Experience with Babel, GULP, Nodejs, MongoDB, PostgreSQL, AWS is highly preferred Knowledge of agile software development life cycle methodology. Prior industry experience (Pharmacy, Healthcare, etc.) preferred. Required Experience & Education: Must have a Bachelor of computer engineering degree 5+ years of experience in developing Progressive Web applications using Java, SprinBoot, React UI components as well Integration with SOAP/REST services 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) Equal Opportunity Statement About Evernorth Health Services

Company: Mercer Description: Mercer is seeking candidates for the following position based in their GGN Office This is a hybrid role that has a requirement of working at least three days a week in the office. Manager - Metrics, Analytics & Reporting No. of Open roles - 1 What can you expect? We are looking to hire a Manager in the UK Health Delivery Team The role will be responsible for working within the UK Teams, to deliver an excellent and consistent experience for the consultants to support them in renewal and market review of healthcare and protection policies for our clients This position is responsible for various professional activities for assigned moderate portfolios, including processing and technical checks of transaction, administration of Healthcare & Protection policies (covering Renewal and Market Review process), driving improvements, managing workflow, client communication, SLA monitoring and providing timely updates to the management. The incumbent in this role should have an overall understanding of the company strategy and the importance of their role in achieving the company targets and client satisfaction scores We will count on you to: Act as a process owner and subject matter expert for team members and stakeholders 70% Processing & technical check and 30% managerial activities Handling tasks for UK health insurance products - like GLA, GIP, PMI, Dental, Pension, etc. Excellent communication with clients, colleagues and providers Interpretation of policy terms and client requirements to draft Renewal or Market Review Report Good understanding of claims Underwriting process Enter, validate and provide data analysis for various data used in renewal process (employee headcount movement, claim history, underwriting details, premium changes etc.) Prepare various documents that are used in placement process and distributed by local client contacts to clients (Proposals, RFQ, Confirmation of Placement, Renewal Report, e-mails Creating reports, perform data analysis, including presentation of data insights Leading transition calls and creating process documents (e.g., SOPs, PMAPs etc.) Drive and Focus on the culture of First Time Right Mentoring and coaching new hires Ownership of timely delivery on all deliverables assigned to the team through effective planning and monitoring Mentoring a team directly on client deliverables in a transactional and project-based environment Accurate recording of time on appropriate financial system to ensure achievement of financial / chargeable hours target Own accountability by being able to help the teams troubleshoot issues in projects on both technical and business side Responsible for managing stakeholders and process SLAs Define, delegate and monitor the various employee engagement initiatives for the assigned shop viz; R&Rs, SPOT Award System and so on Drive improvement/ Lean ideas within the team Preparation of various process reports as and when delegated by managers Mailbox monitoring and ensuring effective SLA controls Identify the developmental and process training needs for team and ensuring trainings are organized for the team/individuals Complete ownership of the new-hire orientation and ensuring the new hire is settled Conduct the team meetings as per the set frequency and ensuring proper documentation Written and Verbal communication with onshore business partners Responsible for transactions processing and quality check Managing daily inventory and allocating work within the team Tracking the inventory status and sharing day end report with managers Act as a subject matter expert and providing floor support to colleagues Manage portfolio of complex client. Should act as a very strong point of contact for escalations for the entire offshore team for any assigned client deliverables. If there are any issues on the agreed deliverables, then should be able to articulate the same with the right message on the impact analysis. Define, delegate and monitor the various employee engagement initiatives for the assigned shop viz; R&Rs, SPOT Award System and so on Drive improvement/ Triple play ideas within the team Adhere to UK Health processes Ownership of delivery of tasks and proactively manage own workload Partner with internal/ external stakeholders to achieve best service for client Dealing with client and member queries (verbal and written), as appropriate in line with service level agreements to ensure timely client delivery Lead on continuous improvement within your team/location Develop and maintain appropriate technical knowledge and lead on market or legislative changes Support revenue reporting activity as appropriate Quality checking of colleagues work to ensure accuracy Attend client meetings as required Manage client relationships to support retention & growth Training, mentoring and technical lead for Consulting Delivery Participate in internal projects and lead when needed Be a champion of change within the team Support Team Leader on Risk and Compliance protocols Note: Applicants should be flexible working in shifts What you need to have? Knowledge & Skills: Graduate in any stream 6+ years experience Health products knowledge for UK Markets (preferred) Experience in Renewal and Market Review of Health insurance policies (preferred) Strong team collaboration and relationship building skills Good Interpretation and decision-making skills Strong command on MS office applications (Word, PowerPoint) Advanced knowledge of MS Excel (must) VBA knowledge will be an added advantage Strong experience in KT and transitions in BPO industry Strong verbal and written communication skills along with probing and articulation skills Advanced Logical, Data Analytical & Data Mining skills Strong knowledge/experience in project management Strong analytical, research and problem-solving skills, attention to details Ability to multitask, self-starter, positive attitude and an ability to adapt to an ever-changing environment Proficient in arithmetic calculations Knowledge of tools like HBB, GBM, MercerGold+ (preferred) What makes you stand out? (Additional Skills & Competencies Needed) Good knowledge and experience in health insurance Strong Communication and presentation Skills Strong analytical, research and problem-solving skills, attention to details Project Management Skills Knowledge of quality tools like six sigma, lean and kaizen Knowledge of VBA and BI Tools like power BI, QLIK etc. (Preferred) Why join our team? We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Mercer believes in building brighter futures by redefining the world of work, reshaping retirement and investment outcomes, and unlocking real health and well-being. Mercer s more than 20,000 employees are based in 43 countries and the firm operates in over 130 countries. Mercer is a business of Marsh McLennan (NYSE: MMC), the world s leading professional services firm in the areas of risk, strategy and people, with more than 85,000 colleagues and annual revenue of over $23 billion. Through its market-leading businesses including Marsh , Guy Carpenter and Oliver Wyman , Marsh McLennan helps clients navigate an increasingly dynamic and complex environment. For more information, visit mercer.com . Follow Mercer on LinkedIn and X . Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person

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. About the Team The Transportation team in India is a part of the larger team that operates in Mooresville. We support our Mooresville team on various operational as well as reporting and project related activities. Our operations span across, Freight Pay, System Maintenance and Exception Management. We develop and support reporting for Purchase Orders, Carriers and 3PLs operating our DCC buildings. We also work on projects such as Utilization, Forecasting and Transportation Modeling. Job Summary: The primary purpose of this role is to help Lowe s become more efficient at managing our Transportation Operations and serving our internal customers by facilitating a center of excellence for data, analytics, insights, and reporting. In this role you will help drive the competitive advantage and assist Lowe s to model our transportation network by becoming a modeling expert. You will gain analytical and technical proficiencies as you design and help model our network and drive continuous improvement across Lowe s. You will work closely with the broader Supply Chain Team to understand requirements and provide analytical solutions, consulting and deliver business value. This role leverages multiple resources, advanced analytic methodologies and data streams to support recommendations for business decisions. This individual will lead strategic initiatives by collaborating across teams, if necessary, to solve identified business problems by gathering requirements and translating them into meaningful problem statements. The individual is expected to deliver results with high quality, timeliness and efficiency while identifying and implementing best methods and industry standards along the way. In addition, the individual will also support the team with process trainings within the team. To be successful, the individual in this role must have a strong understanding of analytical techniques and disparate data sources - both internal and external, and strong domain expertise. Roles & Responsibilities: Core Responsibilities: Develop skills to become an internal Super User of the Blue Yonder system Create and run simulations in Blue Yonder Transportation Modeling tool to evaluate different scenarios and predict outcomes Drive projects and initiatives that are of high priority to Supply Chain and deliver them as per timelines. Provide data, analytics, insights, and reporting expertise in support of transportation data flow, volume forecasting, rate optimization, load planning, non-retail movements, parcel, ecommerce, freight pay, lane analysis, carrier performance and real time metrics. Utilize your knowledge on how to best leverage disparate data sources, relevant external data and strong domain expertise, in order to deliver on the needs of the transportation team. Perform ad-hoc analyses supporting a vast array of business scenarios. Leverage your technical & analytical skills to perform analytical and project work ultimately ensuring a high quality deliverable that provides impactful as well as actionable insights to improve our network optimizations. Translates a business question into a qualtifiable problem statement and then collect, clean, transform and restructures data for mathematical or statistical analysis. Translates the results of your mathematical or statistical analysis back into business terms, present the findings and solutions in a comprehensible manner to the team before delivering the results to senior leadership so they can take necessary action. Manage multiple projects simultaneously and ensure deliverables are completed on time Responsible to continuously learn, share and implement new analytical methodologies and techniques. Collaborate with other stakeholders to identify transportation opportunities and refine model to drive cost savings and efficiencies for Lowe s Responsible for building best practices within the TMS and maintaining and improving the maintenance of the tool and optimization parameters Learn the Lowe s transportation network and the various modes and business we serve and identify areas where we have opportunity to model different scenarios Years of Experience: Overall 6+ years of Experience 6 years of experience in JDA TMS/T-MOD 5 years experience in Transportation, Logistics management 1-2 years experience reporting and data analytics 1-2 years experience of project management Education Qualification & Certifications (optional) Required Minimum Qualifications : Bachelor s Degree in Engineering, Supply Chain Management, Operations Research or Related Field MBA or master s degree in Supply Chain Skill Set Required Primary Skills (must have) Key skills: Blue Yonder Transportation Modeling tool, JDA TMS/T-MOD Knowledge of transportation planning principles and practices Supply Chain Management Expertise Transportation network modeling experience Experience in Data mining and visualization tool such as PoweBI, SQL, Python and Excel Ability to work independently and as part of a team, managing multiple projects and priorities Strong systems acumen Working knowledge of transportation operations Ability to manage and manipulate large data sets for use in analytical tools Excellent problem-solving and time management skills Experience with Python and Knime Analytics Secondary Skills (desired) Previous experience as a TMS super user, especially Blue Yonder or JDA Ability to manage projects end-to-end Experience in retail domain Experience in being part of a GCC Experience with handling different levels of stakeholders

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

Amazon Retail Financial Intelligence Systems is seeking a seasoned and talented Senior Data Engineer to join the Fortune Platform team. Fortune is a fast growing team with a mandate to build tools to automate profit-and-loss forecasting and planning for the Physical Consumer business. We are building the next generation Business Intelligence solutions using big data technologies such as Apache Spark, Hive/Hadoop, and distributed query engines. As a Data Engineer in Amazon, you will be working in a large, extremely complex and dynamic data environment. You should be passionate about working with big data and are able to learn new technologies rapidly and evaluate them critically. You should have excellent communication skills and be able to work with business owners to translate business requirements into system solutions. You are a self-starter, comfortable with ambiguity, and working in a fast-paced and ever-changing environment. Ideally, you are also experienced with at least one of the programming languages such as Java, C++, Spark/Scala, Python, etc. Major Responsibilities: Work with a team of product and program managers, engineering leaders, and business leaders to build data architectures and platforms to support business Design, develop, and operate high-scalable, high-performance, low-cost, and accurate data pipelines in distributed data processing platforms Recognize and adopt best practices in data processing, reporting, and analysis: data integrity, test design, analysis, validation, and documentation Keep up to date with big data technologies, evaluate and make decisions around the use of new or existing software products to design the data architecture Design, build and own all the components of a high-volume data warehouse end to end. Provide end-to-end data engineering support for project lifecycle execution (design, execution and risk assessment) Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers Interface with other technology teams to extract, transform, and load (ETL) data from a wide variety of data sources Own the functional and nonfunctional scaling of software systems in your ownership area. Implement big data solutions for distributed computing. As a DE on our team, you will be responsible for leading the data modelling, database design, and launch of some of the core data pipelines. You will have significant influence on our overall strategy by helping define the data model, drive the database design, and spearhead the best practices to delivery high quality products. About the team Profit intelligence systems measures, predicts true profit(/loss) for each item as a result of a specific shipment to an Amazon customer. Profit Intelligence is all about providing intelligent ways for Amazon to understand profitability across retail business. What are the hidden factors driving the growth or profitability across millions of shipments each day We compute the profitability of each and every shipment that gets shipped out of Amazon. Guess what, we predict the profitability of future possible shipments too. We are a team of agile, can-do engineers, who believe that not only are moon shots possible but that they can be done before lunch. All it takes is finding new ideas that challenge our preconceived notions of how things should be done. Process and procedure matter less than ideas and the practical work of getting stuff done. This is a place for exploring the new and taking risks. We push the envelope in using cloud services in AWS as well as the latest in distributed systems, forecasting algorithms, and data mining. 3+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with SQL Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Description Our mission at Enphase Energy is to advance a sustainable future for all. Today, our intelligent microinverters, which turn sunlight into an affordable, safe, reliable, and scalable source of energy, work with virtually every solar panel made, and when paired with our award-winning smart battery technology, we engineer one of the industrys best-performing clean energy systems. To date, we have installed more than 48 million microinverters on more than 2.5 million systems across 140 countries and well over 50 thousand homes use our energy storage products. Like our customers, our innovative teams are also worldwide, making Enphase Energy a truly global company. We are one of the fastest growing and most dynamic energy companies in the world. Nimble and acutely focused on developing ground-breaking solar energy management technology, each of our teams has a shared goal of creating a carbon-free future. Do you want to help change the worldLearn more about the role: For our Customer Experience team, we seek Hands-On AI/M L Staff Engineer who can work on designing implementing high quality scalable AI/ML applications and platforms, while providing technical leadership/mentoring to a small team of talented developers in agile environment. Your ability to lead the architecture, design, and implementation of maintainable, high-quality, and high-performing Machine Learning systems and AI applications is essential for success in this role. Provide hands-on technical expertise to design, engineer, deploy, and deliver highly scalable machine learning applications. Drive improvements in technical architecture, standards, and processes. Drive engineering excellence while managing/mentoring talented team of developers in agile environment. Work closely with product management and other stakeholders for system design and delivery. What you will be doing: Understanding the customer experience business use cases and technical requirements and being able to convert them into a technical design that elegantly meets the requirements. Implementation of sophisticated analytics programs, machine learning, and statistical methods to prepare enterprise data for use in predictive and prescriptive modeling. Accountable for the data science platform design in addition to the use of case-based application solution design. Work on complex unstructured datasets using advanced statistical and analytical methods. Work closely with other technical and operational functions to gather, organize and analyze datasets to extract meaningful insights. Who you are and what you bring: MS or Bachelors in Computer Science, Math, Machine Learning, or a relevant field with 4 + yrs. of experience in industry and/or academic research Strong Experience in Python for Data Science, Data Science on AWS, Data Science solutions, Communication and Collaboration, Statistics Probability. Ability to design and implement workflows of Linear Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python or Optimisation methodologies Demonstrable competency in Probability Statistics, ability to use ideas of Data Distributions, Hypothesis Testing, and other Statistical Tests. Demonstrable competency in Data Visualisation using the Python/R Data Science Stack. Hands-on experience in using statistical and analytical techniques to complex business problems. Hands-on experience in solving regression, prediction, classification, clustering, neural networks, and Bayesian problems. Advanced knowledge of statistical techniques, machine learning algorithms, Bayesian Models, data mining, and text mining. Experience in handling large datasets on cloud and on-premises setup, using distributed computing. Able to understand various data structures and common methods in data transformation. Strong Programming background and expertise in building models in languages like Python, R, Scala, etc. Good knowledge of visual techniques for data analysis and presentation skills Strong troubleshooting skills in different disparate technologies and environments Enthusiastic about different areas of work and exploring new technologies Clarity of thought and strong communication skills to effectively pitch solutions Ability to explore and grasp new technologies Mentoring your team members in projects and helping them keep up with new technologies Empowering the team members to be solution providers and enable a flat environment where every ones point of view is considered, and feedback is encouraged.

Company: Bajaj Electricals JOB ROLE Lead - Advance Analytics JOB ID JRO0143 ROLE CRITICALITY BAU PL ROLE / NON PL ROLE Non PL Role REPORTING TO Chief Information Officer TYPE OF ROLE Team Lead LOCATION Corporate Office, Mumbai. BU/ DIVISION Information Technology Digital JOB PURPOSE The Analytics Manager will work closely with leaders across product, sales, supply-chain and marketing to support and implement high-quality, data-driven decisions. He/She will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. He/She will use advanced data modeling, predictive modeling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business outcomes. The right person for the job will apply their exhaustive knowledge of data analysis to solving real-world problems faced by our company and finding opportunities for improvement across multiple projects, teams and business units. KEY RESPONSIBILITIES Develop and implement a comprehensive analytics strategy to support the organizations business objectives. Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions. Driving key business impacting processes like demand forecast generation and SNOP processes. Generating sales recommendation for trade sales team. Optimizing business process like network, inventory, etc., with data modeling and predicting / prescribing algorithms. Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics. Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables. Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs. Apply advanced analytics techniques to improve commercial routines and processes. Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders. Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company. Ability to look, analyse, critically think, and communicate insights to support data-driven decisions. . EDUCATIONAL QUALIFICATIONS B.E/ BTech / M.Tech (Computer Science, Statistics, Data Management, Business Intelligence) or MBA/ PGDM (Data Science/Business Analytics/Business Intelligence/Sales/Marketing) WORK EXPERIENCE With 7+ years of experience in a position monitoring, managing, manipulating and drawing insights from data, and someone with at least 3 years of experience leading a team Experience with data visualization tools: Power BI, Tableau, Raw, chart.js, etc. CERTIFICATIONS Prefer to have SAS / Microsoft / AWS Certified Analytics Professional PREFERRED/ ADDITIONAL REQUIREMENT W orking knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units. NO OF REPORTEES Will be working with multiple vendor teams INTERNAL / EXTERNAL INTERFACE Internal working with Supply Chain, Sales and Finance Teams. External working with Analytics vendors FUNCTIONAL COMPETENCIES WITH PROF LEVELS Strong problem solving, quantitative and analytical abilities. Strong ability to plan and manage numerous processes, people and projects simultaneously. Excellent communication, collaboration, and delegation skills. BEHAVIORAL COMPETENCIES WITH PROF LEVELS Critical Thinking. Exercise sound reasoning to analyze issues, make decisions and find innovative solutions. Professionalism. Demonstrate Integrity through work ethic, personal accountability, professional image, and ethical behaviour. Disclaimer: Bajaj Electricals Limited (BEL) offers a great work environment, professional development, challenging careers, and competitive compensation. BEL is an Equal Opportunity Employer. Employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Department Operations Location Gurgaon (Work from office) Shift Timings Rotational Shifts Job Description Finding relevant information from web reports and articles Proficient in managing projects such as, but not limited to, quantitative, with target respondents ranging from Senior Decision Makers to C-Level executives across industries Share daily updates on the daily progress with the manager and other internal stakeholders Managing the team to meet the required targets Attending client calls, including project kickoffs Reporting to the management about projects executed Ensuring projects are delivered within the specified time and budget Delivering projects within the timelines Managing the quality of the data deliveries Managing internal reporting Skills Required Excellent verbal and written communication skills Highly energetic and self-motivated Strong interpersonal skills Should possess good secondary research, data mining, and presentation skills Should have team management skills Qualifications and Experience 3 years of relevant experience

Education - Bachelor Engineering degree Experience - 5 to 8 years of related experience (Automotive buying experience preferred) 1) Excellent research, data mining, analytical and problem-solving skills 2) Extremely good Presentation Communication skills (written and verbal) 3) Attitude to work in a challenging environment Attitude to improve is a must 4) Ability to understand cost drivers and achieve desired cost structures 5) Good Manufacturing Process knowledge of various commodities 6) Able to lead structured supplier meetings and drive desired outcomes 7) Be an excellent negotiator, drive creative solutions self-starter. 8) Keep up commitments on time; Be Proactive and question logically 9) Willing to learn/teach and share experiences with team members Manufacturing Process knowledge, Negotiation, Project Management, and GPDS skills Able to work in different time zone and manage relationships with regional supply base / Cross-functional / JV team; Proficiency in below competencies Negotiations Excellent Commodity Knowledge - Excellent Strategy Development - Excellent Analytical Skills - Part Cost Estimating - Good Buying Systems, Policies and Processes - Excellent Analytical Skills - Balance Sheet and Ratios - Good Analytical Skills - Lean Manufacturing - Good Project Management - Excellent Knowledge Transfer - Excellent Education - Bachelor Engineering degree Experience - 5 to 8 years of related experience (Automotive buying experience preferred) The primary responsibilities of the Buyer are the execution of strategies to deliver program targets, TVM goals, Global Commodity Business Plans covering regional objectives and execution of supply base development strategies

Job Title: Data Scientist Location: Chennai Experience: 4-8 Years Skills Required: 4 + years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering /classification/ decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms. Looking for qualified Data Scientists who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, and Optimization. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms. Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices. Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand.

The Opportunity Avantor is looking for a Senior Data Custodian for the Global Data Management team. He/She should be able to work under limited supervision. He/She should have the ability to organize, interpret, and present data to assist management in the evaluation of business performance and understanding of the customer experience. He/She should be responsible for creating customer/supplier accounts in SAP, thoroughly validating customer addresses, and maintaining account details. What were looking for Education Bachelors degree, preferably in Computer Engineering, Computer Science, Industrial Engineering/Operations Research, Statistics, Mathematics, Management Information Systems, Supply Chain Management, or a related field; or equivalent experience. Experience: 1-3 years applicable experience, preferably in product or sales data management, ACCESS experience. Preferred Qualification: High-level proficiency in Microsoft Office, Excel, etc Comprehensive knowledge of VWR systems is a plus Knowledge of SAP systems a plus Basic knowledge of VBA a plus Knowledge of Salesforce a plus Excellent analytical and communication skills (both written and oral) Excellent time management skills, ability to multi-task effectively, and comfortable working in a fast-paced, dynamic environment without close guidance or supervision. Knowledge of best practices and principles for data modeling, dashboards, report design, analytics, and data mining. Ability to organize, interpret, and present data to assist management in the evaluation of business performance and understanding of the customer experience. Strong data extraction skills required Strong interpersonal and presentation skills Proven ability to interface successfully within all levels of an organization Proven ability to handle high-stress situations with deadlines Strong organizational effectiveness skills; attention to detail Ability to manage multiple key projects with minimal direct supervision A willingness to embrace and drive change throughout an organization How you will thrive and create an impact: Assume ownership and responsibility for data accuracy, completeness, consistency, and integrity of customer master data fields. Own and execute the qualitative coding process to enable the creation of usable customer reporting. Responsible for analyzing and assigning sales reps to new customers. Identifies the segment, region, channel, and prioritization of customer accounts based on in-depth knowledge and research of customer opportunity, customer market segment, and business guidelines. Applies an in-depth understanding of customer needs within the segment and identifies available opportunities and service requirements for both new customers and existing customers. Partner with Sales and Customer Reporting and others to ensure the quality and accuracy of reports and analyses, implementing best practices. Develop business knowledge to effectively anticipate and define opportunities to apply business intelligence and analytics solutions to improve business outcomes including being a subject matter expert on customer data to be a resource to guide and mentor the sales force. Manage, monitor, and provide metrics on customer group coding and rep assignment by various customer segments. Collaborate with business partners to identify and document processes and procedures around customer data and VWR coding. Work with information technology and subject matter experts to understand data quality issues and drive the resolution of discrepancies. Works with large amounts of data and utilizes multiple systems to research and analyze information. Responsible for loading basic customer information, requirements, and internal reporting fields; loads sales rep assignment and customer prioritization into SAP. Researches and resolves complex customer issues including prioritization. Develop logical data models and analysis reports based on business analysis patterns. Develop dashboards, scorecards, and advanced analytics based on business requirements. Acts as subject matter expert for projects including new acquisitions data migration including analysis of legacy files, matching of customer data, and providing a seamless transition to SAP. This includes training on account structure, processes, and procedures. Performs other duties as assigned. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer. Why Avantor Dare to go further in your career. Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science. The work we do changes peoples lives for the better. It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his moms voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor. We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world. Apply today! EEO Statement: We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law. If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. 3rd party non-solicitation policy:

Qualification & Experience: Minimum of 8 years of experience as a Data Scientist/Engineer with demonstrated expertise in data engineering and cloud computing technologies. Technical Responsibilities Excellent proficiency in Python, with a strong focus on developing advanced skills. Extensive exposure to NLP and image processing concepts. Proficient in version control systems like Git. In-depth understanding of Azure deployments. Expertise in OCR, ML model training, and transfer learning. Experience working with unstructured data formats such as PDFs, DOCX, and images. O Strong familiarity with data science best practices and the ML lifecycle. Strong experience with data pipeline development, ETL processes, and data engineering tools such as Apache Airflow, PySpark, or Databricks. Familiarity with cloud computing platforms like Azure, AWS, or GCP, including services like Azure Data Factory, S3, Lambda, and BigQuery. Tool Exposure: Advanced understanding and hands-on experience with Git, Azure, Python, R programming and data engineering tools such as Snowflake, Databricks, or PySpark. Data mining, cleaning and engineering: Leading the identification and merging of relevant data sources, ensuring data quality, and resolving data inconsistencies. Cloud Solutions Architecture: Designing and deploying scalable data engineering workflows on cloud platforms such as Azure, AWS, or GCP. Data Analysis : Executing complex analyses against business requirements using appropriate tools and technologies. Software Development : Leading the development of reusable, version-controlled code under minimal supervision. Big Data Processing : Developing solutions to handle large-scale data processing using tools like Hadoop, Spark, or Databricks. Principal Duties & Key Responsibilities: Leading data extraction from multiple sources, including PDFs, images, databases, and APIs. Driving optical character recognition (OCR) processes to digitize data from images. Applying advanced natural language processing (NLP) techniques to understand complex data. Developing and implementing highly accurate statistical models and data engineering pipelines to support critical business decisions and continuously monitor their performance. Designing and managing scalable cloud-based data architectures using Azure, AWS, or GCP services. Collaborating closely with business domain experts to identify and drive key business value drivers. Documenting model design choices, algorithm selection processes, and dependencies. Effectively collaborating in cross-functional teams within the CoE and across the organization. Proactively seeking opportunities to contribute beyond assigned tasks. Required Competencies: Exceptional communication and interpersonal skills. Proficiency in Microsoft Office 365 applications. Ability to work independently, demonstrate initiative, and provide strategic guidance. Strong networking, communication, and people skills. Outstanding organizational skills with the ability to work independently and as part of a team. Excellent technical writing skills. Effective problem-solving abilities. Flexibility and adaptability to work flexible hours as required. Key competencies / Values: Client Focus : Tailoring skills and understanding client needs to deliver exceptional results. Excellence : Striving for excellence defined by clients, delivering high-quality work. Trust : Building and retaining trust with clients, colleagues, and partners. Teamwork : Collaborating effectively to achieve collective success. Responsibility : Taking ownership of performance and safety, ensuring accountability.

You will be part of the global Marketing & Creative Services team and will be responsible for working with marketing teams (onshore & offshore) to Build enterprise data and analytics solutions generating meaningful KPI dashboards for Capgemini Group Drive BI and Data Analytics solutions for measuring strategies aligned to marketing and business objectives. Understand the overall digital landscape of the organization as well as that of key competitors. Key Responsibilities Participate in marketing/campaign briefing, solution architecture building and design activities. Manage the implementation of tracking tags using Google Tag Manager to measure web & marketing campaign performance Develop integrated corporate visualization solutions derived from multiple data sources using state-of-the-art tools to enable insight and decision-making at various levels Develop data models, including performance measures, to enable scorecard analysis Perform ad-hoc analysis and present results in a clear manner Learn and establish data visualization standards and explore new, cutting-edge tools to periodically raise those standards Ensure accuracy, completeness and timeliness of reporting through proactive awareness, alerts, testing and processes Perform exploratory data analysis and data pre-processing to arrive at patterns and trends. Communication Working closely with the platforms team, digital & marketing teams. Collaborate with wider business stakeholders from Group Good presentation skills for reports and dashboards Specification / Skills / Experience Must have high level of proficiency in data visualization tools - Power BI and/or Looker Studio, and/ or Tableau, DOMO Hands on experience in implementing and managing Google Tags solutions using GTM or other tag management tools Experience with JavaScript, HTML, and CSS for custom tag implementations will be an Add on Strong understanding of digital marketing KPIs & tracking methods. Capability to create data story with the help of dashboard in defined timelines Strong knowledge of data warehouse concepts including: data modelling, data quality, ETL, reporting, analytics, and visualization Good grasp over Amazon AWS/RedShift/Azure/GCP or other Datawarehouse providers Knowledge on data extraction and data cleansing methodologies Must have proficiency in SQL to write analytical queries, create filters and calculated data sets Strong critical thinking, analytical, organizational, interpersonal, verbal and written communication skills Highly motivated and able to work independently as well as in a team environment Ability to operate comfortably and effectively in a fast-paced, highly cross-functional, rapidly changing environment Excellent analytical skills with demonstrated ability to solve problems Agile mindset and good understanding of MVP / iterative development is desired

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. As a Data Engineer , you will leverage your expertise in Databricks , big data platforms , and modern data engineering practices to develop scalable data solutions for our clients. Candidates with healthcare experience, particularly with EPIC systems , are strongly encouraged to apply. This includes creating data pipelines, integrating data from various sources, and implementing data security and privacy measures. The Data Engineer will also be responsible for monitoring and troubleshooting data flows and optimizing data storage and processing for performance and cost efficiency. Responsibilities: Develop data ingestion, data processing and analytical pipelines for big data, relational databases and data warehouse solutions Design and implement data pipelines and ETL/ELT processes using Databricks, Apache Spark, and related tools. Collaborate with business stakeholders, analysts, and data scientists to deliver accessible, high-quality data solutions. Provide guidance on cloud migration strategies and data architecture patterns such as Lakehouse and Data Mesh Provide pros/cons, and migration considerations for private and public cloud architectures Provide technical expertise in troubleshooting, debugging, and resolving complex data and system issues. Create and maintain technical documentation, including system diagrams, deployment procedures, and troubleshooting guides Experience working with Data Governance, Data security and Data Privacy (Unity Catalogue or Purview) If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Experience: 3+ years of consulting or client service delivery experience on Azure Graduate/Postgraduate in computer science, computer engineering, or equivalent with minimum of 8 years of experience in the IT industry. 3+ years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases such as SQL server and data warehouse solutions such as Azure Synapse Extensive hands-on experience implementing data ingestion, ETL and data processing. Hands-on experience in and Big Data technologies such as Java, Python, SQL, ADLS/Blob, PySpark and Spark SQL, Databricks, HD Insight and live streaming technologies such as EventHub. Experience with cloud-based database technologies (Azure PAAS DB, AWS RDS and NoSQL). Cloud migration methodologies and processes including tools like Azure Data Factory, Data Migration Service, etc. Experience with monitoring and diagnostic tools (SQL Profiler, Extended Events, etc). Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes. Experience with relational databases and expertise in writing and optimizing T-SQL queries and stored procedures. Experience in using Big Data File Formats and compression techniques. Experience in Developer tools such as Azure DevOps, Visual Studio Team Server, Git, Jenkins, etc. Experience with private and public cloud architectures, pros/cons, and migration considerations. Excellent problem-solving, analytical, and critical thinking skills. Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail. Communication Skills: Must be able to communicate with both technical and nontechnical. Able to derive technical requirements with the stakeholders. Preferred Technical And Professional Experience Cloud platform certification, e.g., Microsoft Certified: (DP-700) Azure Data Engineer Associate, AWS Certified Data Analytics – Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization. Experience working with EPIC healthcare systems (e.g., Clarity, Caboodle). Databricks certifications (e.g., Databricks Certified Data Engineer Associate or Professional). Knowledge of GenAI tools, Microsoft Fabric, or Microsoft Copilot. Familiarity with healthcare data standards and compliance (e.g., HIPAA, GDPR). Experience with DevSecOps and CI/CD deployments Experience in NoSQL databases design Knowledge on , Gen AI fundamentals and industry supporting use cases. Hands-on experience with Delta Lake and Delta Tables within the Databricks environment for building scalable and reliable data pipelines. Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer. You will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. You’ll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses. Responsibilities: Lead the development and implementation of AI/ML, Generative AI and LLM projects, ensuring alignment with business objectives. Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications. Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses. Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.). In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modelling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally. Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle. Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation. If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Experience: Minimum of 5 years of experience in Data Science and Machine Learning, with expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture. Familiarity with business processes in 1-2 domains (e.g., Financial, Telecom, Retail, Manufacturing) to quickly understand requirements and develop solutions. Graduate/Postgraduate in computer science, computer engineering, or equivalent with minimum of 10 years of experience in the IT industry. Past experience in responding to or solutioning for RFPs, customer proposals, and customer presentations/orals. Strong understanding of Transformers, LLMs, Fine Tuning, Agents, and RAG techniques. Experience using LLM models on cloud platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI). Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS). Understanding of how to deploy LLMs on cloud/on-premise and use APIs to build industry solutions. Strong knowledge in programming, specifically in Python / R. Be well equipped to understand machine learning algorithms and be versatile enough to implement them in pure NumPy, TensorFlow or PyTorch as required Good understand of Mathematics Fundamentals like Statistics, Probability, Linear Algebra, and Calculus Experience in Data mining and providing data insights using visualization Knowledge in MySQL or NoSQL Databases will be added advantage Preferred Technical And Professional Experience Certification in one or more of the hyperscale's (Azure, AWS, Google Cloud Platform) Open Certified Data Scientist (Open CDS) – L2/L3 Familiarity with Agentic AI frameworks Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

As consumer preference for digital payments continues to grow, ensuring a seamless and secure consumer experience is top of mind. Optimization Soltions team focuses on tracking of digital performance across all products and regions, understanding the factors influencing performance and the broader industry landscape. This includes delivering data-driven insights and business recommendations, engaging directly with key external stakeholders on implementing optimization solutions (new and existing), and partnering across the organization to drive alignment and ensure action is taken. The Role: Work closely with global optimization solutions team to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support data insights and analytical needs across products, markets, and services The candidate for this position will focus on Building solutions using Machine Learning and creating actionable insights to support product optimization and sales enablement. Prototype new algorithms, experiment, evaluate and deliver actionable insights. Drive the evolution of products with an impact focused on data science and engineering. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Perform data ingestion, aggregation, and processing on high volume and high dimensionality data to drive and enable data unification and produce relevant insights. Continuously innovate and determine new approaches, tools, techniques & technologies to solve business problems and generate business insights & recommendations. Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions. All about You A superior academic record at a leading university in Computer Science, Data Science, Technology, mathematics, statistics, or a related field or equivalent work experience Experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis Strong analytical skills with track record of translating data into compelling insights Prior experience working in a product development role. knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. proficiency in using Python/Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), and SQL to build Big Data products & platforms Experience with Enterprise Business Intelligence Platform/Data platform ie Tableau, PowerBI is a plus. Demonstrated success interacting with stakeholders to understand technical needs and ensuring analyses and solutions meet their needs effectively. Ability to build a strong narrative on the business value of products and actively participate in sales enablement efforts. Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor.

Project description Do you have the know-how to apply business analysis techniques to deliver Power BI projects in Cyber Security areaAre you a committed and visionary team player with an analytical and logical mind-setAre you motivated to work in a complex, diverse and global environment We're looking for a Power BI Engineer to join our client's team in Pune. Security is a global organization within Group Technology Infrastructure and Security Engineering. Our services focus on access management for applications and infrastructure, identity management for users, directories, detecting/preventing measures for cyber threats, and exchanging/storing data securely. We provide consolidated and reliable security services that implement secure design principles and create best-fit solutions. You'll be working as part of our global team. As an Power BI Engineer, you'll play an important role in ensuring the on-going cyber-security of our client. We offer flexibility in the workplace and equal opportunities to all our team members. Our team is global, diverse and collaborative as we work across organizations to keep our technology, applications and the businesses they support secure. Responsibilities Design and develop high quality reports for measuring financial risk in close cooperation with the business users. Transform raw data into relevant insights via interactive and simple-to-understand dashboards and reports. Analyze existing reports and optimize them for standardization and performance optimization Mentoring IT development team and business users in development and deployment of data models, reports, and dashboards. Collect and analyze business requirements, produce relevant documentation, be able to communicate effectively with stakeholders on their needs vs platform capabilities. Skills Must have At least 5 years of experience as Power BI Engineer / Analyst Experience managing Business and Technical from initiation to final implementation Experience with data design (e.g. dimensional modelling) and data mining Experience with Business Process analysis (documentation of as-is and to-be processes, process improvement) In-depth understanding of SQL queries, database management systems Familiarity with BI technologies and ability to design, build and deploy BI solutions (e.g. reporting tools). Familiarity working with agile methodology Ability to work independently on assigned tasks and driving them from start to completion. Ability to challenge and propose possible improvements Use to work with stakeholders on different levels of the organization, including managers Use to work in a demanding and variable environment Fluent in English Nice to have preferably IT Security or infrastructure projects background Other Languages EnglishC1 Advanced Seniority Senior

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Are you ready to dive headfirst into the captivating world of data engineering at Kyndryl? As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips. As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. This role is not just about code and databases; it's about transforming raw data into actionable insights that drive strategic decisions and innovation. In this role, you'll be engineering the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets. With a well-defined methodology, critical thinking, and a rich blend of domain expertise, consulting finesse, and software engineering prowess, you'll be the mastermind of data transformation. Your journey begins by understanding project objectives and requirements from a business perspective, converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. But it doesn't stop there. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset—a true data alchemist. Armed with a keen eye for detail, you'll scrutinize data solutions, ensuring they align with business and technical requirements. Your work isn't just a means to an end; it's the foundation upon which data-driven decisions are made – and your lifecycle management expertise will ensure our data remains fresh and impactful. So, if you're a technical enthusiast with a passion for data, we invite you to join us in the exhilarating world of data engineering at Kyndryl. Let's transform data into a compelling story of innovation and growth. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Skills and Experience •Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes •Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc •Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB •Excellent problem-solving, analytical, and critical thinking skills •Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail •Communication Skills: Must be able to communicate with both technical and non-technical colleagues, to derive technical requirements from business needs and problems Preferred Skills and Experience •Experience working as a Data Engineer and/or in cloud modernization •Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes •Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization •Cloud platform certification, e.g., AWS Certified Data Analytics– Specialty, Elastic Certified Engineer, Google CloudProfessional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate •Experience working with Kafka , ElasticSearch, Kibana & maintaining data lake •Managing interfaces, monitoring for production deployment including log shipping tool. •Experience in updates, upgrade, patches, VA closure, support with industry best tools •Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Your Role and Responsibilities As a Technical Support Professional, you should have experience in a customer-facing leadership capacity. This role necessitates exceptional customer relationship management skills along with a solid technical grasp of the product/s they will support. The Technical Support Professional is expected to adeptly manage conflicting priorities, thrive under pressure, and autonomously navigate tasks with minimal active guidance. The successful applicant should possess a comprehensive understanding of IBM support, development, and service processes and deliveries. Knowledge of other IBM business procedures and professional training in mediation or conflict resolution would be advantageous. Your primary responsibilities include: Direct Problem-Solving Experience:Previous experience in addressing client issues is valuable, along with a demonstrated ability to effectively resolve problems. Strong Communication Skills: Ability to communicate clearly with both internal and external clients through spoken and written channels. Business Networking ExperienceIn-depth experience and understanding of the IBM and/or OEM support organizations, facilitating effective networking and collaboration. Excellent Coordination, Leadership & Organizational Skills: Exceptional coordination and organizational abilities, capable of leading diverse teams and multitasking within a team-based business network environment. Proficiency in project management is beneficial. Excellence in Client Service & Client Satisfaction:Personal commitment to pursuing client satisfaction and continuous improvement in the delivery of client problem resolution. Language Skills: Proficiency in English is required, with fluency in multiple languages considered advantageous. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor's Degree Experience5+ years Basic knowledge in Operating system administration (Windows, Linux) Basic knowledge in database administration (DB2, Oracle, MS SQL) EnglishFluent in speaking and writing Analytical thinking, structured problem-solving techniques Strong positive customer service attitude with sensitivity to client satisfaction. Must be a self-starter, quick learner, and enjoy working in a challenging, fast paced environment. Strong analytical and troubleshooting skills, including problem recreation, analyzing logs and traces, debugging complex issues to determine a course of action and recommend solutions. Preferred technical and professional experience Master's Degree in Information Technology Knowledge with OpenShift Knowledge with Apache Flink and Kafka Knowledge with Kibana Knowledge with Containerization and Kubernetes Knowledge with scripting (including Python, JavaScript) Knowledge with products of IBM's Digital Business Automation Product Family Knowledge with Process/Data Mining Knowledge with Containerization Basic knowledge of process/data mining Basic knowledge of LDAP Basic knowledge of AI technologies Fluent in speaking and writing in English Experience in Technical Support is a plus