958 Data Cleansing Jobs - Page 15

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Job Function: Finance Job Sub Function: Finance Business Partners Job Category: People Leader All Job Posting Locations: Bangalore, Karnataka, India, PH003 Paranaque, Suzhou, Jiangsu, China Job Description: Aim of job: The TranSCend Transformation Analyst Commercial Fixed Assets Accounting is responsible for driving the MedTech TranSCend Tech & Process transformation initiative for Global Services Finance within their respective process area. The role is responsible for the successful implementation of S4 HANA tech & process solution in finance and for leading the execution of key project deliverables and milestones across all project phases that will enable a successful go live. TranSCend is a multi-year digital transformation journey that will harmonize our many disparate global ERPs into a single SAP/S4 HANA platform to modernize our digital core and enable a digitized end-to-end (E2E) business for MedTech. Main accountabilities: Testing coordination (BST / UAT / BRT) Testing execution at all stages (BST/ UAT / BRT / Hypercare) Testing of SOX controls Collaboration with other workstreams to support the execution of end-to-end testing Defect / Incident Management (for what s coming from testing) Data cleansing, conversion & migration in production & quality environments Involvement in Change Impact Assessment Involvement in Documentation updates Involvement in production cutover planning & execution Stage gate support (incl. metrics) Acting as a change agent and super user towards service delivery teams Proactive sharing of process improvement and automation ideas Main Stakeholders Business Partners: MT TranSCend Finance Deployment teams MT TranSCend Testing Teams MT TranSCend GS Finance Transformation Teams Finance A2R service delivery teams Finance Global Process Owners Internal & External Stakeholders (J&J, Accenture, etc.) Qualifications - External Experience & Style: Has 3 to 5 Years of job experience in Finance, preferably in MedTech sector Professional Accountancy qualification Experience working with SQL / Alteryx, Python, SAP scripting Fluent in English and have good presentation skills Leadership Behaviours: LIVE OUR CREDO Demonstrate and model the heart of J&J CONNECT inclusively to address health needs SHAPE the future of health through innovation GROW self and others to become our best Technical Specific Skills: US GAAP SAP knowledge, S4 HANA is preferred ATR accounting, experience in Fixed assets or Commercial fixed assets is preferred Documentation e.g. DTP / Work Instructions Other Specific Job Skills: Ability to deal with competing priorities and complex issues Ability to work and lead under pressure Ability to work autonomously and independently Ability to adapt to changing environment Ability to assess business readiness for successful transition Ability to plan and coordinate multiple and complex deployment activities Strong verbal and written communication skills. Technical mindset Understanding of J&J finance processes Understanding of GS Finance organization / environment is a plus Experience in Finance Transformation (Tech & Process) is desirable Job Function: Finance Job Sub Function: Finance Business Partners Job Category: Professional Pay Grade: 25

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at Job Function: Finance Job Sub Function: Finance Business Partners Job Category: People Leader All Job Posting Locations: Bangalore, Karnataka, India, Paranaque, National Capital Region (Manila), Philippines, Suzhou, Jiangsu, China Job Description: Aim of job: The TranSCend Transformation Analyst ATR is responsible for driving the MedTech TranSCend Tech & Process transformation initiative for Global Services Finance within their respective process area. The role is responsible for the successful implementation of S4 HANA tech & process solution in finance and for leading the execution of key project deliverables and milestones across all project phases that will enable a successful go live. TranSCend is a multi-year digital transformation journey that will harmonize our many disparate global ERPs into a single SAP/S4 HANA platform to modernize our digital core and enable a digitized end-to-end (E2E) business for MedTech. Main accountabilities: Testing coordination (BST / UAT / BRT) Testing execution at all stages (BST/ UAT / BRT / Hypercare) Testing of SOX controls Collaboration with other workstreams to support the execution of end-to-end testing Defect / Incident Management (for what s coming from testing) Data cleansing, conversion & migration in production & quality environments Involvement in Change Impact Assessment Involvement in Documentation updates Involvement in production cutover planning & execution Stage gate support (incl. metrics) Acting as a change agent and super user towards service delivery teams Proactive sharing of process improvement and automation ideas Main Stakeholders Business Partners: MT TranSCend Finance Deployment teams MT TranSCend Testing Teams MT TranSCend GS Finance Transformation Teams Finance A2R service delivery teams Finance Global Process Owners Internal & External Stakeholders (J&J, Accenture, etc.) Qualifications - External Experience & Style: Has 3 to 5 Years of job experience in Finance, ATR accounting, preferably in MedTech sector Professional Accountancy qualification, experiences in multi ATR processes preferred Experience working with SQL / Alteryx, Python, SAP scripting Fluent in English and have good presentation skills Leadership Behaviours: LIVE OUR CREDO Demonstrate and model the heart of J&J CONNECT inclusively to address health needs SHAPE the future of health through innovation GROW self and others to become our best Technical Specific Skills: US GAAP SAP knowledge, S4 HANA is preferred ATR accounting experience Documentation e.g. DTP / Work Instructions Other Specific Job Skills: Ability to deal with competing priorities and complex issues Ability to work and lead under pressure Ability to work autonomously and independently Ability to adapt to changing environment Ability to assess business readiness for successful transition Ability to plan and coordinate multiple and complex deployment activities Strong verbal and written communication skills. Technical mindset Understanding of J&J finance processes Understanding of GS Finance organization / environment is a plus Experience in Finance Transformation (Tech & Process) is desirable Job Function: Finance Job Sub Function: Finance Business Partners Job Category: Professional Pay Grade: 25

KPMG India is looking for Associate consultant- Data Governance Associate consultant- Data Governance to join our dynamic team and embark on a rewarding career journey Undertake short-term or long-term projects to address a variety of issues and needs Meet with management or appropriate staff to understand their requirements Use interviews, surveys etc. to collect necessary data Conduct situational and data analysis to identify and understand a problem or issue Present and explain findings to appropriate executives Provide advice or suggestions for improvement according to objectives Formulate plans to implement recommendations and overcome objections Arrange for or provide training to people affected by change Evaluate the situation periodically and make adjustments when needed Replenish knowledge of industry, products and field

Designation: Analyst- CAT Modelling Experience: 2 to 7 years Job Location: Pune (Work from Office), Night Shift Qualification: Graduate Skill Required: PC insurance, CAT Modelling Job Requirement: Experience in Catastrophe modelling (Data Modelling, Data Cleansing, Risk Analysis) In depth knowledge in property casualty insurance - policy admin - renewal, endorsement, cancellation etc. Must have at least 2 years of experience in NATCAT process, Policy Admin in PC Insurance Technical understanding of key insurance processes e.g. underwriting, claims handing, or non-trading processes Should be capable of acquiring in-depth knowledge of assigned process risks and sharing acquired expertise with the process owners and Underwriters Strong interpersonal skills including, collaborating, communication, facilitation, conflict management and team building 63626 | Underwriting | Professional | Non-Executive | Allianz Services | Full-Time | Permanent Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in. We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation. Join us. Lets care for tomorrow.

Job Title: Lead Generation Executive Job Overview: We are looking for a highly motivated and results-driven Business Development Lead Generation Executive to join our team. In this role, you will be responsible for generating new business leads, qualifying prospects, and supporting the business development process for our products and services. You will leverage various tools, platforms, and strategies to identify potential clients, engage them, and move them through the sales funnel. Key Responsibilities: Lead Generation: Identify and qualify new business opportunities across various industries through research, cold calling, LinkedIn outreach, email campaigns, and other channels. Data Cleansing: Ensure lead databases are accurate and up-to-date by regularly verifying, correcting, and removing duplicate or outdated records. Target Market Research: Conduct research to identify potential prospects and industries, tailoring outreach strategies for different market segments. Market Trend Analysis: Stay informed about industry trends and competitors to better position our offerings and outreach strategies. Requirements: 2 years to 4 years of experience in business development, lead generation, or sales, preferably in IT services or related fields. Experience with lead generation tools and email marketing platforms. Proficiency in LinkedIn for prospecting and outreach. Basic knowledge of Excel for tracking lead data and performance. Self-motivated, results-driven, and able to work independently. Ability to manage time efficiently and prioritize tasks in a fast-paced environment. A team player with the ability to collaborate with cross-functional teams. Preferred Qualifications: Experience with MS Dynamics or custom applications is a plus. Knowledge of email campaign tools. IT background

We are looking for a Data Migration Specialist to be a part of the Data Migration and Digitalization team based in Vadodara, India. Your primary responsibility will involve supporting the migration and digitalization of engineering documentation from legacy systems to the unified EDM, PDM, and ERP system. You will report to the Manager of the Data Migration and Digitalization team within SVS GBPS Business Line. The position is primarily situated in Vadodara, Gujarat, India and might entail up to 10% of travel. You will collaborate closely with the Global Engineering Team and Global Product Line Teams to facilitate the harmonization and globalization of technical documentation. The team's focus lies in executing Global Engineering guidelines and aligning with corporate policies and priorities. Your role will encompass various tasks including: - Conducting a comprehensive analysis of legacy data to comprehend its structure, quality, and volume. Defining the migration scope and developing a detailed plan outlining steps, timeline, and required resources. - Mapping legacy data fields to corresponding fields in EDM, PDM, and ERP systems to ensure consistency and accuracy. Transforming data into the required format, including standardizing naming conventions and ensuring data integrity. - Validating legacy data to identify and rectify errors, inconsistencies, or duplicates. Standardizing data to ensure uniformity across all systems. - Extracting legacy data from existing systems using automated tools or scripts. Loading transformed data into EDM, PDM, and ERP systems, ensuring accurate import and mapping. Performing thorough testing to verify data accuracy and system functionality. - Ensuring seamless integration between EDM, PDM, and ERP systems to allow real-time data exchange and synchronization. Implementing bi-directional updates to maintain data consistency. - Providing comprehensive training to users on the new systems and legacy data migration process. Offering ongoing support to address any issues or questions. - Documenting the entire migration process, including data mappings, transformation rules, and any encountered issues. Generating reports to track migration progress and ensure compliance with project requirements. To be successful in this role, you should possess: - Diploma in Mechanical Engineering - Understanding of engineering tools: 2D, 3D (AutoCAD, Inventor) - Proficiency in data tools and document management (DMS and Multi-CAD data harmonization) - Experience with Autodesk EDM Vault Solutions, Enovia PDM Solution, SAP ERP Solutions - Experience working in large organizations with extended review processes and cross-functional collaboration - Ability to work on multiple projects simultaneously, prioritize tasks, and deliver in a fast-paced environment - Strong focus on objectives and task completion - Capability to work independently and in a team environment, take initiative, and ownership across technical areas In return, you can expect: - An inspiring purpose of enabling sustainable modern life through transforming the industry and making a positive change - Wellbeing and safety benefits including occupational healthcare, generous benefits plan, mental well-being services, on-site gym, and more - Compensation and rewards tied to global incentive programs - A thriving culture committed to inclusivity and enabling everyone to reach their full potential - Extensive learning opportunities, internal mobility, mentoring programs, and global exposure - Worldwide support and collaboration through open and honest communication If you are ready to rise above the possible with us, click "Apply now" to submit your application.,

About Forsys: Forsys Inc. is a leading company specializing in Lead-to-Revenue transformation, utilizing a combination of strategy, technology, and business transformation to foster growth. The company boasts a team of over 500 professionals dispersed across various locations such as the US, India, UK, Colombia, and Brazil, with its headquarters situated in the Bay Area. Forsys is renowned for its commitment to innovation and excellence. As an implementation partner for major vendors like Conga, Salesforce, and Oracle, as well as an incubator for groundbreaking ideas and solutions, Forsys holds a unique position within the consulting industry. The company is dedicated to empowering its clients by uncovering new revenue streams and cultivating a culture of innovation. To learn more about our vision and the impact we are making, visit forsysinc.com. Data Migration Technical Lead: Forsys is currently seeking a full-time Data Migration Technical Lead who is a proficient Salesforce Revenue Cloud Data Migration Specialist. In this role, you will be responsible for overseeing and executing data migration activities as part of Revenue Cloud implementation and transformation projects. As a key member of the Forsys Data Migration team, you will analyze data from multiple source systems, consult with clients on data transformation, and manage end-to-end data and document migration processes. Responsibilities: - Possessing over 8 years of experience as a data migration technical lead, with a proven track record in handling complex migration projects. - Developing and implementing data migration strategies for Salesforce Revenue Cloud, including CPQ (Configure Price Quote), Billing, and related modules. - Collaborating with clients to assess their data requirements, creating data models, and establishing data mappings. - Evaluating source data quality, devising data cleansing strategies, and executing data cleaning processes as needed. - Building ETL/ELT pipelines using tools like Informatica, Talend, or native Salesforce tools. - Adhering to best practices for data migration and following established standards and protocols. - Assessing different source systems to determine optimal data transfer methods and managing large volumes of data effectively. - Designing and conducting data validation procedures pre and post-migration, and generating Data Reconciliation reports. - Implementing testing protocols to ensure data accuracy and consistency with client specifications. - Providing technical support throughout the data migration process to ensure efficiency and smooth operation. - Creating comprehensive documentation of the migration process to guide future projects. - Mentoring team members and fostering collaboration to achieve project deliverables effectively. - Demonstrating the ability to perform effectively in high-pressure environments. Eligibility: - Minimum of 8 years of experience in data migration or ETL roles, with at least 2 years focusing on Salesforce Revenue Cloud (CPQ + Billing). - Proficiency in utilizing ETL Tools such as Pentaho, Mulesoft, Informatica, Data Stage, SSIS, etc. - Strong understanding of the Salesforce data model and experience in various phases of Data Migration. - Advanced SQL skills, familiarity with APIs, and integration patterns. - Experience in data/process mapping for Data Migrations involving Salesforce, Oracle, and Legacy systems is preferred. - Extensive experience working with different databases and SQL queries. - Knowledge of Supply Chain/CRM/Quote to Cash/Quote to Order business processes. - Proficiency in handling various data formats (XML, JSON, etc.). - Expertise in SOAP & REST Services, API implementation, and Cloud services. - Strong communication skills, ability to work effectively in teams, both onshore and offshore, and driven to achieve goals. - Self-motivated, goal-oriented individuals with strong analytical and problem-solving skills. - Prior experience with source systems such as NetSuite, SAP, Zuora, or Oracle for migration to Salesforce Revenue Cloud is advantageous.,

As a Senior People & Culture (P&C) Manager at bp, you will play a crucial role in providing senior HR partnership to Senior Vice Presidents (SVPs) and other business leaders. Your primary responsibility will be to develop and deliver people strategies, priorities, plans, and projects that support the successful execution of strategic objectives on a global scale. Leveraging your significant HR expertise, you will drive various strategic people activities including organizational effectiveness & transformation, talent management, employee engagement, diversity & inclusion, and fostering an impactful culture. You will not have direct line/people manager responsibility in this role but will support partnering pools. Your role will involve driving business performance through effective HR solutions and ensuring a demonstrable return on investment on people initiatives. You will lead a team of allocated P&C partners, senior partners, and Center of Expertise (CoE) resources to implement relevant activities and projects across multiple geographies. Collaboration will be a key aspect of your role, as you will work across the P&C function and with other collaborators to drive strategic people activities. You will also act as a member of the respective business leadership team(s) and partner with senior leaders to implement various strategic people activities. Coaching and engaging allocated P&C partners, senior partners, and CoE resources will be essential to enable their professional growth and development. Your role will require maintaining business knowledge and intimacy to ensure deliverables are contextualized to the needs of the business. You will leverage data and insights to enable prioritization and future-focused thinking and proactively assess and mitigate people risks. Additionally, you will develop solutions to sophisticated problems and evolving/ambiguous situations. To be successful in this role, you should have a minimum of 15 years+ experience across a range of people & culture fields within commercial and operational environments. Your communication, influencing, adaptability, resilience, and global team player skills will be crucial. You should possess significant experience in various HR activities including business partnering, reward, performance management, talent management, employee relations, organizational development, diversity & inclusion, and more. At bp, we believe in supporting our people to learn and grow in a diverse and challenging environment. We are committed to creating an inclusive environment where everyone is respected and treated fairly. If you are ready to take on a transformative role and contribute to building a high-performing culture, then this opportunity is for you. Please note that up to 10% travel may be expected with this role, and relocation assistance is not available. This position is not eligible for remote working.,

As a Data Scientist at Micron Technology in Sanand Gujarat, you will have the opportunity to play a pivotal role in transforming how the world uses information to enrich life for all. Micron Technology is a global leader in innovating memory and storage solutions, driving the acceleration of information into intelligence and inspiring advancements in learning, communication, and progress. Your responsibilities will involve a broad range of tasks, including but not limited to: - Developing a strong career path as a Data Scientist in highly automated industrial manufacturing, focusing on analysis and machine learning of terabytes and petabytes of diverse datasets. - Extracting data from various databases using SQL and other query languages, and applying data cleansing, outlier identification, and missing data techniques. - Applying the latest mathematical and statistical techniques to analyze data and identify patterns. - Building web applications as part of your job scope. - Utilizing Cloud-based Analytics and Machine Learning Modeling. - Building APIs for application integration. - Engaging in statistical modeling, feature extraction and analysis, feature engineering, supervised/unsupervised/semi-supervised learning. - Demonstrating proficiency in data analysis and validation, as well as strong software development skills. In addition to the above, you should possess above-average skills in: - Programming fluency in Python. - Knowledge of statistics, machine learning, and other advanced analytical methods. - Familiarity with javascript, AngularJS 2.0, and Tableau, with a background in OOPS considered an advantage. - Understanding pySpark and/or libraries for distributed and parallel processing. - Experience with Tensorflow and/or other statistical software with scripting capabilities. - Knowledge of time series data, images, semi-supervised learning, and data with frequently changing distributions is a plus. - Understanding of Manufacturing Execution Systems (MES) is beneficial. You should be able to work in a dynamic, fast-paced environment, be self-motivated, adaptable to new technologies, and possess a passion for data and information with excellent analytical, problem-solving, and organizational skills. Furthermore, effective communication with distributed teams (written, verbal, and presentation) and the ability to work collaboratively towards common objectives are key attributes for this role. To be eligible for this position, you should hold a Bachelors or Masters degree in Computer Science or Electrical/Electronic Engineering, with a CGPA of 7.0 and above. Join Micron Technology, Inc., where our relentless focus on customers, technology leadership, and operational excellence drives the creation of high-performance memory and storage products that power the data economy. Visit micron.com/careers to learn more about our innovative solutions and opportunities for growth. For any assistance with the application process or to request reasonable accommodations, please reach out to hrsupport_india@micron.com. Micron Technology strictly prohibits the use of child labor and complies with all applicable laws, rules, regulations, and international labor standards. Candidates are encouraged to use AI tools to enhance their application materials, ensuring accuracy and truthfulness in representing their skills and experiences. Fabrication or misrepresentation will lead to immediate disqualification. As a Data Scientist at Micron Technology, you will be part of a transformative journey that shapes the future of information utilization and enriches lives across the globe.,

Business Data Migration expert for Order to Cash on LDC ERP program ensures data is delivered according to global/deployment/country requirements and timelines and responsible for data migration activities in a deployment (above-country) for Data objects in his/her scope. The data includes but is not limited to Customer master, Product Pricing, Contracts. Acts as the functional SPoC for data migration on the assigned objects for a given release. Job Purpose: Business Data Migration expert for Order to Cash on LDC ERP program ensures data is delivered according to global/deployment/country requirements and timelines and responsible for data migration activities in a deployment (above-country) for Data objects in his/her scope. The data includes but is not limited to Customer master, Product Pricing, Contracts. Acts as the functional SPoC for data migration on the assigned objects for a given release. Major Accountabilities: - Perform or ensure data cleansing tasks are completed on time. - Complete data collection for manual/construction objects on time. - Work together with IT counterparts to prepare value mappings. - Create and maintain master lists if applicable for assigned objects. - Provide business insights and information to technical teams for extraction and conversion from the legacy system(s) for assigned data objects. - Work together with IT team and country Business Data Owners to identify objects in scope for country. - Ensure data readiness & verify quality throughout data journey for assigned data objects. - Verify that data is fit for purpose (incl. alignment with internal/external stakeholders). - Approve upload files before and after load for all assigned data objects (including formal approval). - Perform manual (type-in) data loads into target clients where applicable for assigned objects. - Perform dual maintenance. - Execution and approval of data verification scripts. - Act as SPoC for assigned objects as part of defect management process during Hypercare. Key Performance Indicators / Measures Of Success: - Data Cleansing completion for relevant data objects on project(s) within the region based on given data migration schedule. - Data Loads completion for relevant data objects on project(s) within the region based on given data migration schedule. - All major issues related to data quality for relevant data objects resolved based on given project(s) schedule. IDEAL BACKGROUND: Education & Qualifications: Bachelor or Master degree preferred. Languages: Fluent English (additional languages preferred). Experiences: 5+ years in country & global roles (ERP project implementation experience preferred). Competencies: Good communication and negotiation skills, good stakeholder management. Strategic and hands-on way of working (running meetings, tracking progress, managing issues). Strong Excel Skills. Technical/Functional Skills & Knowledge: Strong knowledge about the business processes in the area of Order to Cash, Contract management, Order to Cash, Pricing and good visibility to Customer master and sales view of Material master data. Data Migration experience preferred.,

Mandates: Should have knowledge of SAP MDM object with S/4HANA, Data Architecture, Database Management, Master Data Management Additionally experience in the textile domain would be an added advantage for this role. Any Manufacturing or Pharma industries will also work. Experience in S4 Hana implementation projects. Must have Vendor Management & BOM exp Sap MM & Sap SD exp will be an added advantage 5-7 years of exp in total Role: Assists in the application and implementation procedures of data standards and guidelines on data ownership, coding structures, and data replication to ensure access to and integrity of data sets. Conducts data cleansing and data transformation to rid the system of old, unused data, or duplicate data for better management and quicker access. Researches, coordinates and installs software releases and database integration to ensure Work cross-functionally across lines of business to ensure their domains data is managed and understood Driving end-to-end the cleansing, maintenance, and governance of data by defining data standards for creation, completeness, and accuracy for attributes within the respective master. Responsible for ongoing data quality initiatives such as research, match/merging, and various aspects of data cleansing to remediate issues identified. Work with SI partner ad business to define data architecture and data rules for the respective data domain. Ensure the accuracy and quality of data as used across the organization Direct Data Quality activities to create and maintain good quality data. Work with other Data Owners to resolve data issues and dissonance across business units Second level review for issues identified by Data Champions Guide the analysis and discussion of data and/or process issues in Master data Monitor SLAs and identify opportunities for continuous improvement of Master Data processes and workflows Ensure teamwork and collaboration across data domains, business units, stakeholders, and support organizations. Periodically provide reports to the Steering Committee on data quality, compliance, policies, or regulatory requirements that impact the data domain.

For one of our international clients, RED Global is currently looking for an experienced SAP Business Master Data Expert - Procurement in India. Desired skills:Minimum 7 years of hands-on experience in Master Data from a business perspectiveStrong experience in procurement processes across the APAC regionProficient in data loading, data mapping, data cleansing and MS ExcelExperience working with stakeholders\/customers to validate migrated data aligns with business requirementsAbility to collaborate with cross-functional teams across locationsProject Details:Start date: ASAPDuration: 12 months + possibility of extensionLocation: Remote Rate: USD \/ dayLanguage: English

In the IBM Chief Information Office,you will be part of a dynamic team driving the future of AI and data science in large-scale enterprise transformations. We offer a collaborative environment where your technical expertise will be valued, and your professional development will be supported. Join us to work on challenging projects, leverage the latest technologies, and make a tangible impact on leading organisations. As a Data Scientist within IBM's Chief Information Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimisation of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyse complex datasets and generate actionable insights. Learn and utilise cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree is strongly preferred Experience: 5+ yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn

We are looking for a Senior Manager-ML Ops to join our Technology team at Clarivate. You will get the opportunity to work in a cross-cultural work environment while working on the latest web technologies with an emphasis on user-centered design. About You (Skills & Experience Required) Bachelors or masters degree in computer science, Engineering, or a related field. Overall 14+ years of experience including DevOps, machine learning operations and data engineering domain Proven experience in managing and leading technical teams. Strong understanding of MLOps practices, tools, and frameworks. Proficiency in data pipelines, data cleaning, and feature engineering is essential for preparing data for model training. Knowledge of programming languages (Python, R), and version control systems (Git) is necessary for building and maintaining MLOps pipelines. Experience with MLOps-specific tools and platforms (e.g., Kubeflow, MLflow, Airflow) can streamline MLOps workflows. DevOps principles, including CI/CD pipelines, infrastructure as code (IaC), and monitoring is helpful for automating ML workflows. Familiarity with cloud platforms (AWS, GCP, Azure) and their associated services (e.g., compute, storage, ML platforms) is essential for deploying and scaling ML models. Familiarity with container orchestration tools like Kubernetes can help manage and scale ML workloads efficiently. It would be great if you also had, Experience with big data technologies (Hadoop, Spark). Knowledge of data governance and security practices. Familiarity with DevOps practices and tools. What will you be doing in this role? Data Science Model Deployment & Monitoring : Oversee the deployment of machine learning models into production environments. Ensure continuous monitoring and performance tuning of deployed models. Implement robust CI/CD pipelines for model updates and rollbacks. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate project status, risks, and opportunities to stakeholders. Provide technical guidance and support to team members. Infrastructure & Automation : Design and manage scalable infrastructure for model training and deployment. Automate repetitive tasks to improve efficiency and reduce errors. Ensure the infrastructure meets security and compliance standards. Innovation & Improvement : Stay updated with the latest trends and technologies in MLOps. Identify opportunities for process improvements and implement them. Drive innovation within the team to enhance the MLOps capabilities.

We are looking for a ML Ops Engineer to join our Technology team at Clarivate. You will get the opportunity to work in a cross-cultural work environment while working on the latest web technologies with an emphasis on user-centered design. About You (Skills & Experience Required) Bachelors or masters degree in computer science, Engineering, or a related field. 5+ years of experience in machine learning, data engineering, or software development. Good experience in building data pipelines, data cleaning, and feature engineering is essential for preparing data for model training. Knowledge of programming languages (Python, R), and version control systems (Git) is necessary for building and maintaining MLOps pipelines. Experience with MLOps-specific tools and platforms (e.g., Kubeflow, MLflow, Airflow) can streamline MLOps workflows. DevOps principles, including CI/CD pipelines, infrastructure as code (IaaC), and monitoring is helpful for automating ML workflows. Experience with atleast one of the cloud platforms (AWS, GCP, Azure) and their associated services (e.g., compute, storage, ML platforms) is essential for deploying and scaling ML models. Familiarity with container orchestration tools like Kubernetes can help manage and scale ML workloads efficiently. It would be great if you also had, Experience with big data technologies (Hadoop, Spark). Knowledge of data governance and security practices. Familiarity with DevOps practices and tools. What will you be doing in this role? Model Deployment & Monitoring : Oversee the deployment of machine learning models into production environments. Ensure continuous monitoring and performance tuning of deployed models. Implement robust CI/CD pipelines for model updates and rollbacks. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate project status, risks, and opportunities to stakeholders. Provide technical guidance and support to team members. Infrastructure & Automation : Design and manage scalable infrastructure for model training and deployment. Automate repetitive tasks to improve efficiency and reduce errors. Ensure the infrastructure meets security and compliance standards. Innovation & Improvement : Stay updated with the latest trends and technologies in MLOps. Identify opportunities for process improvements and implement them. Drive innovation within the team to enhance the MLOps capabilities.

Role - Data Analyst (Pyspark/SQL) Location - Bengalore Type - Hybrid Position - Full Time We are looking a Data Analyst who has strong expertise into PySpark & SQL Roles and Responsibilities Develop expertise in SQL queries for complex data analysis and troubleshooting issues related to data extraction, manipulation, transformation, mining, processing, wrangling, reporting, modeling, classification. Desired Candidate Profile 4-9 years of experience in Data Analytics with a strong background in PySpark programming language.

NTT DATA is looking for a SQL Developer to join their team in Bangalore, Karnataka, India. As a SQL Developer, you will be responsible for developing complex queries, extracting data using ETL tools, and cleansing and validating both structured and unstructured data. Additionally, you will be involved in creating insurance reports, visualizations, dashboards, and conducting analysis and analytics with a focus on life insurance. The ideal candidate should have a strong proficiency in SQL along with knowledge of tools like EXL, R, and Python. NTT DATA is a global innovator of business and technology services with a commitment to helping clients innovate, optimize, and transform for long-term success. They serve 75% of the Fortune Global 100 and have experts in more than 50 countries. If you are a passionate individual with strong SQL skills and a background in life insurance, this is a great opportunity to be part of an inclusive and forward-thinking organization. Apply now to grow with NTT DATA and contribute to their mission of driving innovation and digital transformation.,

As a Lead - Catalogue Quality & Visibility at ONDC (Open Network for Digital Commerce), you will play a crucial role in enhancing the quality and visibility of seller catalogues across the network. Your primary responsibility will be to ensure that product and service listings are accurate, complete, and well-presented on buyer applications, ultimately improving discoverability and user experience. You will be tasked with defining and developing a comprehensive strategy and framework for catalogue quality improvement, including setting data standards, quality metrics, and governance mechanisms. Your role will involve designing and implementing scalable processes for onboarding, monitoring, and enhancing the catalogue quality of sellers and seller network participants. In addition, you will establish and enforce data quality standards, guidelines, and best practices within the ONDC network, implementing mechanisms for data validation, cleansing, and enrichment. Your expertise in APIs will be crucial for facilitating data exchange and integration to ensure seamless catalogue management and quality checks across the network. Monitoring performance metrics, collaborating with ecosystem participants, and adopting a consultative problem-solving approach will be integral parts of your role. You will also evaluate and recommend tools and technologies to aid in catalogue quality management and visibility enhancement within the ONDC ecosystem. To be successful in this role, you should have a Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field, along with 5-8 years of relevant experience in data quality management, catalogue management, or e-commerce operations. Strong technical understanding of data management principles, APIs, and data exchange formats will be essential, along with excellent analytical and problem-solving skills. Preferred qualifications include experience in e-commerce, familiarity with PIM systems, knowledge of SEO principles, and proficiency in data analytics tools. Stay updated on industry best practices and trends to identify opportunities for continuous improvement within the ONDC network. If you are a proactive problem-solver with a strategic mindset and a passion for enhancing catalogue quality and visibility in the digital commerce space, we encourage you to apply for this challenging and rewarding position at ONDC.,

Seeking a new challenge where your professional and personal aspirations are not only possible but supported Kaufman Rossin might be just the place for you! As one of the top accounting firms in the country, our foundation is people first. In the words of James Kaufman, "We prioritize our people, their development, and their well-being. Our values are translated into action every day." Celebrated as the Best Place to Work in South Florida over a dozen times, Kaufman Rossin has grown to over 600 employees, with offices spanning the tri-county area, including sister entities Kaufman Rossin Wealth and Kaufman Rossin Alternative Investment Services. The Firm is ranked 49 among the top 100 firms in the US by Inside Public Accounting 2023. Internationally, the Firm has offices in Bangalore and Haryana in India and the Ivory Coast in Africa. Kaufman Rossin Professional Services Private Limited's (the Company) offices are located in the World Trade Center (WTC) in Bangalore, Karnataka, India, and at the Unitech Cyber Park in Gurgaon, Haryana, India. While the Bangalore office provides a range of services, including risk management, corporate governance, tax, assurance, and family office services, out of the Gurgaon office, we render highly specialized back office alternative investment services for global hedge funds and related fund types. Think you have what it takes We are looking for a detail-oriented Data Steward to join our India team. You will ensure data quality, Security, compliance by managing Data assets, implementing data governance policies, and collaborating with stakeholders to maintain data integrity and usability. How You'll Contribute: - Establish and enforce data quality standards and processes to ensure consistency and reliability across systems. - Proactively identify and resolve data quality issues, including data cleansing and standardization to maintain high-quality data. - Track and monitor data quality metrics to ensure data accuracy and address any discrepancies. - Ensure that data is complete, consistent, and accurate to support effective decision-making and business operations. Requirements: What Skills You'll Bring: - Bachelor's Degree in a related field. - Strong Understanding of Data Quality Standards. - Experience with Data Cleansing & Standardization. - Proficiency in Monitoring Data Metrics. - Proficiency in Microsoft Office Applications. - Ability to work overtime. How You'll Stand Out: - SQL experience is a plus. - STAR Practice Management experience is a plus. - BC365 experience is a plus. Benefits: - Work-Life Balance. - People First Company. - Hybrid work policy. - Working directly with peers in the US.,

Bringing together traditional and alternative investments, you will provide clients around the world with a dedicated partnership and focus on long-term performance. As the firm's primary investment area, you will offer investment and advisory services for some of the world's leading pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors, and individuals, overseeing more than $2 trillion in assets under supervision. Working in a culture that values integrity and transparency, you will be part of a diverse team passionate about the craft, clients, and building sustainable success. You are investors, advisors, thought leaders, and innovators spanning traditional and alternative markets, offering timely insights and using digital solutions to address complex challenges and meet financial goals. Operations is a dynamic, multi-faceted function partnering with all parts of the firm to provide banking, securities, and asset management services globally. Operations ensures essential risk management and controls to preserve and enhance the firm's assets and reputation. Your impact will be significant as part of the Asset and Wealth Management Division (AWM) team, collaborating with various groups to facilitate multi-asset, dynamic, and bespoke business in a high-growth investing environment. As a member of the Data Management & Controls Operations team within AWM, you will play a vital role in ensuring timely, complete, and accurate data across all investing products for business and regulatory reporting. You will drive the creation of a data quality program and governance strategy to improve data reliability, oversee administrative aspects of investments, and work with cross-functional teams to enhance data infrastructure. Your responsibilities will include data entry, cleansing, standardization, resolving data breaks, implementing governance models, analysing root causes, synthesizing data, collaborating with teams, establishing controls, and driving priorities while exhibiting excellent judgment and problem-solving skills. Basic qualifications for this role include a Bachelor's degree with a minimum of three years of experience in financial services, preferably in a data operations role. You should possess proven analytical skills, problem-solving ability, attention to detail, relationship-building aptitude, communication skills, self-motivation, proactive teamwork, organizational skills, ability to manage competing priorities, flexibility, and knowledge/experience in an Operations role. Goldman Sachs commits its people, capital, and ideas to help clients, shareholders, and communities grow. The firm fosters diversity and inclusion, offering opportunities for professional and personal growth through training, development, networks, benefits, wellness programs, and mindfulness initiatives. Goldman Sachs is an equal employment/affirmative action employer committed to finding reasonable accommodations for candidates with special needs or disabilities during the recruiting process.,

As a Data Engineer, you will play a crucial role in designing, implementing, and maintaining robust data pipelines on the Databricks platform. Your primary responsibility will be to ensure the smooth flow of data by collaborating with data scientists, analysts, and stakeholders to guarantee data availability and integrity for analytics and reporting purposes. Your key responsibilities will include designing and developing data pipelines using Databricks and Apache Spark to create scalable and efficient solutions. You will be responsible for integrating data from various sources such as databases, APIs, and external datasets, focusing on maintaining data quality and consistency throughout the process. In addition, you will be tasked with developing and optimizing ETL processes to support data analytics and business intelligence needs. Performance optimization will be a critical aspect of your role, where you will work on tuning Spark jobs and managing resource allocation to ensure optimal data processing efficiency. Collaboration will be key in your role as you will closely work with data scientists, analysts, and stakeholders to understand data requirements and provide effective solutions. Implementing data validation and cleansing procedures will be essential to guarantee data accuracy and reliability. Documentation plays a vital role in maintaining transparency and knowledge sharing within the team. Therefore, you will be responsible for documenting data pipelines, processes, and architecture to facilitate maintenance and enhance knowledge sharing among team members. Monitoring and troubleshooting data pipelines will also be part of your responsibilities. You will be required to monitor pipeline performance and reliability, as well as troubleshoot any issues that may arise to ensure the smooth functioning of the data infrastructure.,

At PwC, the focus in data and analytics revolves around leveraging data to drive insights and make informed business decisions. By utilizing advanced analytics techniques, our team helps clients optimize operations and achieve strategic goals. As a professional in data analysis at PwC, you will specialize in utilizing advanced analytical techniques to extract insights from large datasets, supporting data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. PwC US - Acceleration Center is currently seeking individuals with a strong analytical background to join our Analytics Consulting practice. As a Senior Associate, you will be an essential part of business analytics teams in India, collaborating with clients and consultants in the U.S. You will lead teams for high-end analytics consulting engagements and provide business recommendations to project teams. **Years of Experience:** Candidates should possess 4+ years of hands-on experience. **Must Have:** - Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCPs Vertex AI platform, AWS SageMaker) - Knowledge of predictive/prescriptive analytics, particularly in the usage of Log-Log, Log-Linear, Bayesian Regression techniques, Machine Learning algorithms (Supervised and Unsupervised), deep learning algorithms, and Artificial Neural Networks - Good knowledge of statistics, including statistical tests & distributions - Experience in Data analysis, such as data cleansing, standardization, and data preparation for machine learning use cases - Experience in machine learning frameworks and tools (e.g., scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib) - Advanced level programming in SQL or Python/Pyspark - Expertise with visualization tools like Tableau, PowerBI, AWS QuickSight, etc. **Nice To Have:** - Working knowledge of containerization (e.g., AWS EKS, Kubernetes), Dockers, and data pipeline orchestration (e.g., Airflow) - Good communication and presentation skills **Roles And Responsibilities:** - Develop and execute project & analysis plans under the guidance of the Project Manager - Interact with and advise consultants/clients in the U.S. as a subject matter expert to formalize data sources, acquire datasets, and clarify data & use cases for a strong understanding of data and business problems - Drive and conduct analysis using advanced analytics tools and mentor junior team members - Implement quality control measures to ensure deliverable integrity - Validate analysis outcomes and recommendations with stakeholders, including the client team - Build storylines and deliver presentations to the client team and/or PwC project leadership team - Contribute to knowledge sharing and firm building activities **Professional And Educational Background:** - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA,

SQL developer with strong knowledge of SQL Programming and commands, querying, aggregation, joining and manipulating data. ETL, Data transformation and data warehousing, Data Manipulation, Data Visualisation

Operational Support & Issue Triage Provide first-line support for vendor-related inquiries, following established procedures to resolve routine issues. Assist in troubleshooting basic issues within enterprise systems like Coupa, SHIFT, and Salesforce. Accurately log all incoming requests and issues, ensuring all necessary information is captured. Escalate complex or non-standard issues to the Project Specialist or Manager for resolution. Process Adherence & Documentation Support Follow established SOPs and work instructions to execute tasks related to the vendor enablement lifecycle. Assist in maintaining process documentation, ensuring guides and work instructions are up-to-date with minor changes. Support the team by helping to prepare materials for process improvement workshops or meetings. Assist in tracking operational metrics by collecting and inputting data into dashboards and reports. Stakeholder & Vendor Communication Serve as an initial point of contact for basic inquiries, guiding stakeholders to the correct resources or FAQs. Assist in communicating status updates to internal requesters regarding their vendor setup or payment inquiries. Provide timely and professional follow-up on routine, open cases. Issue & Data Management Support Perform initial triage of vendor inquiries from the shared mailbox or intake form, assigning them based on predefined criteria. Log and track issues, ensuring case records are kept current. Perform routine data entry and data cleansing tasks to support vendor master data accuracy. Assist in auditing vendor records for completeness and flagging discrepancies for review by the team. Training & Team Support Assist in preparing and organizing training materials, job aids, and FAQs. Help schedule training sessions and workshops for internal stakeholders. Provide general administrative and operational support to the Vendor Enablement & Resolution team as needed. About you Experience: Experience or a strong interest in an operational, coordination, or customer support role. A bachelors degree in business, finance, or a related field is preferred. Soft skills: Excellent organizational skills, high attention to detail, strong written and verbal communication, a proactive and collaborative attitude, and an eagerness to learn. Technical Skills: Familiarity with Microsoft Office (Word, Excel, Outlook). Education: bachelors degree in Business, Communications, or a related field. Languages: English (fluent)

Job Title - + + S&C Global Network) > Management Level:07 - Manager Location:Bangalore/ Gurgaon/Pune/Mumbai Must have skills:Business Process Consulting Additional Skills: Problem definition, Architecture, Design, R&D, Innovation mgmt., PLM, BOM, Digital Twin and Thread space, Process Excellence, Digital Transformations, SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge Job Summary : Looking for Self-Driven and Seasoned Senior Manager/Manager with exceptional skills in coordinating, organizing and supporting execution of transformations/improvements in PLM Programs for our clients and to build and grow Engineering and R&D Digitization team.As Senior Manager/Manager in Engineering and R&D Digitization, will need to work closely with leadership to define and deliver in the areas of PLM Enablement, BOM Management, Master Data Management and Digital Twin & Thread Roles & Responsibilities: Key responsibilities include: Lead Engineering and R&D Transformation Programs to drive Innovation and Process Enablement for the Clients Lead and Curate relevent assets, offering in PLM Enablement, Integrated BOM, Product & Engineering Master Data Management and Digital Twin and Thread areas and develop and execute Go To Market for the same along with Leadership In-depth understanding of Product Data Management and able to drive Product Journey with capabilities in defining PLM Roadmap, Process Design, Value Realization and PLM Maturity Assessment areas Experience in Master/Material Data Management and Data Migration Tools and solutions that meet our clients needs in innovative ways. Enabling transformation in R&D utilizing the SAP PLM capabilities by creating business processes for Package/Product design, Bill of Material Management, Engineering Change Management, Product Research, Simulations, Prototyping, Product Testing (qualitative & quantitative) and supplier integration. Professional & Technical Skills: At least 10 years of experience in Business Process Consulting, problem definition, Architecture/Design /Detailing of Processes At least 7 years of experience in SAP PLM Packages (PDM functional knowledge and configuration, PPM, Master Data, EBOM, PS) with strong functional and implementation knowledge as well as general Project Management and Customer Management skills. At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 5 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM tools Additional Information: Experience of working in PLM, BOM, Master Data Management and Digital Twin and Thread space Expert in SAP PLM, Process Excellence, Data Governance, Digital Transformations and shaping end to end Engineering Transformations Concrete experience leading complex PLM Solution Design across multiple industries Ability to work in a rapidly changing environment where continuous innovation is desired. Analytical and quantitative skills and the ability to use hard data and metrics to back up assumptions and develop business cases. Ability to clearly communicate these data insights to others. General Manager / owner mentality, work closely with Team to deliver At least 6 years of industry experience with SAP PLM package implementations which includes strong knowledge in configuration, Agile architecture and all its components. Experience in Classification Migration, Master Data Cleansing and Engineering Master Data experience is preferred. At least 5 years of experience in Configuration/solutions evaluation/ Validation and deployment Project Management Experience with strong communication and teamwork skills Ability to work in Global Environment using Onshore Offshore model Sensitivity and skill at working with different cultures and styles Rapidly learn and apply new engineering technologies and exposure to other PLM toolsQualificationExperience:Minimum 5 years of experience is requiredEducational Qualification:Engineering & MBA Preferred