988 Data Validation Jobs - Page 37

Hello Visionary! We know that the only way a business thrive is if our people are growing. That"™s why we always put our people first. Our global, diverse team would be happy to support you and challenge you to grow in new ways. Who knows where our shared journey will take you? We are looking for Software Developer You"™ll make a difference by Collaborating with global software product teams, comprising architects and developers To function in an efficient SAFe scrum team, where the work-life balance is very effective too Being part of a highly disciplined and influential work culture, where an individual's decision and contribution directly attribute to the success factor of the project Developing and to release a versatile and a robust software infrastructure platform, for more sophisticated tools to be built on top. Taking an ambitious role in the Product Quality & Reliability Assurance of a cloud-based offering with an easy-to-use interface that monitors, analyzes, and helps to optimize energy utilization of the buildings & campuses via multi-site performance dashboards visualizing historical and near real-time series data for energy consumption, costs, and emissions values Developing and implementing the comprehensive test plans and strategies to validate software functionality and ensure compliance with established quality standards. Crafting and completing automated test scripts using JavaScript E2E testing frameworks such as Playwright or Cypress or TestCafe to facilitate early detection of defects and quality issues. Conducting visual regression and snapshot testing using Playwright. Performing API testing using tools like Postman and Playwright, ensuring robustness and reliability of backend services. Engaging in contract testing using PACT to validate interactions between services. Collaborating closely with developers to conduct root cause analysis for identified defects, providing detailed information to support defect resolution. Continuously improve testing processes and methodologies to enhance software quality and reliability. Use GitLab and pipelines for version control and CI/CD processes. You"™ll win us over by BE/B. Tech/ M.Sc. / MCA - (in Electrical, Mechanical, Electronics, Instrumentation, Mechatronics, Computer Science, or Information Technology or equivalent). Holding 3 years of demonstrated ability of IT software verification and validation. Having excellent hands-on experience and willingness in writing test cases, for web applications Proficiency in frontend automation using JavaScript E2E testing frameworks (TestCafe, Playwright or Cypress) Having experience with visual regression and snapshot testing Solid API testing skills with tools, like Postman and Playwright Familiarity with contract testing, like PACT Working experience in GitLab and CI/CD pipelines Having good knowledge in QA principles, methodologies, and standard processes Effectively communicate in English, both written and spoken Potential to learn and to be self-motivated Proactiveness, enough to share knowledge, to voice out problems and to ask for help Passion towards programming, technology and problem solving Desirable to have Proven Understanding of Test management tools such as IBM Jazz, JIRA" Hands-on experience in scripting languages, like Python, Perl, or TCL Hands-on experience in tools, like Robot or Selenium ISTQB certification (Foundation) Working experience in cross platform product verification Working experience in agile software development (daily scrum, pair sessions, sprint planning, retro & review and self-organized), configuration, testing and release management International experience and communication, including a collaboration in virtual international teams Expertly and pragmatically approaching demeanor to any situation Create a better #TomorrowWithUs! This role, based in Pune, is an individual contributor position. You may be required to visit other locations within India and internationally. In return, you'll have the opportunity to work with teams shaping the future. At Siemens, we are a collection of over 312,000 minds building the future, one day at a time, worldwide. We are dedicated to equality and welcome applications that reflect the diversity of the communities we serve. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and imagination, and help us shape tomorrow Find out more about the Digital world of Siemens herewww.siemens.com/careers/digitalminds Find out more about Siemens careers atwww.siemens.com/careers

NUTRIS CROP SOLUTIONS INDIA PVT.LTD is looking for DATA ANALYST to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Department Data Quality Location Gurugram Shift Timings Rotational Shifts Job Description Testing data to ensure all programming instructions and directives have been implemented Downloading, Checking and Formatting Interim and Final data for review and delivery in different formats Programming data validation scripts using Python Skills Required Knowledge of Python, Numpy, Pandas (must) Should be available during day and night shifts (US hours) and over the weekend / extended hours, if required Ability to handle multiple projects and to prioritize, identify and solve problems individually Qualifications and Experience Min. 1 year currently working experience of programming using Python Experience / familiarity with programming, data validation/cleansing and basic stat concepts

Role: - ETL Testing Experience: - 4+ Years Work Location: - Hyderabad (Hybrid) Shift Timing: - 3 PM to 12 AM Job Proifle: - We are seeking a detail-oriented and technically skilled ETL / Fivetran Data Pipeline Tester to validate and ensure data accuracy, integrity, and performance across modern data pipelines. The role will focus on testing integrations involving Fivetran connectors and Snowflake data warehouse, ensuring end-to-end data consistency from source systems to reporting layers. Strong command over SQL (joins, aggregates, window functions) Familiarity with data quality validation, data profiling, and data integrity checks Hands-on experience with Fivetran connectors and understanding of CDC/incremental syncs Roles & Responsibilities: Validate data pipelines built using Fivetran for various source systems (e.g., NetSuite, Excel, Salesforce, S3, Navan, etc). Conduct end-to-end data validation from source to Snowflake, including schema, data type, and row-level validations. Perform incremental load testing, CDC validation, and schema drift assessments. Write and execute complex SQL queries for data comparison and transformation validation in Snowflake. Collaborate with developers, data engineers, and business analysts to understand requirements and test cases. Monitor and troubleshoot issues in Fivetran connector syncs using logs and dashboard insights. Validate data transformation logic using DBT or other transformation frameworks (if required). Document test cases, test results, and defect reports using tools like JIRA, Azure DevOps. Other Specifications: 4 to 7 years of ETL/data warehouse testing experience Hands-on experience with Fivetran connectors and understanding of DC/incremental syncs Strong command over SQL (joins, aggregates, window functions) Experience with Snowflake or similar cloud data warehouse platforms Experience with API testing (for Fivetran APIs or downstream apps) Familiarity with data quality validation, data profiling, and data integrity checks Understanding of ELT pipelines, schema mapping, and data transformation rules Experience with defect management and test documentation tools Familiarity with BI tools (e.g., Tableau, Power BI) for validating reporting layer data.

About The Role : In Scope of Position based Promotions (INTERNAL only) Job Title Model Validation Specialist Associate Location Mumbai, India Role Description Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for: Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Supporting bank-wide Model Risk-related policies. This role spans all aspects of validation applicable to the portfolio of estimation approaches within the Deutsche Bank Combined US Operations (CUSO) across all relevant business units and risk types. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy: Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities The core responsibility will be to validate IB Stress testing models used within the larger CCAR PPNR umbrella for DB USA. Its important for incumbent to grasp and understand Investment Banking side of the banks business. However, the role might necessitate model validator to be flexible in moving around different risk areas within US model validation team outside of core area of responsibility. Key tasks include, but not limited to model performance testing, scenario analysis, sensitivity analysis, and conceptual assessment of model assumptions/limitations/weaknesses. Developing challenger models including independent data collection and by performing complex analysis and testing. Follow regulatory guidelines and the Banks policies and procedures for model risk management, especially CCAR-specific guidelines. Bringing efficiency by automating processes and uplifting frameworks. Your skills and experience 3-6 years of professional experience in model development/ validation or related areas. Previous experience in stress testing (DFAST/CCAR/ICAAP) would be a plus. Ability to analyse and understand financial statements (Balance sheet, Income statement) will be advantageous. Candidate needs to have decent knowledge about financial products and the associated risk factors. Candidate needs to have above average report drafting skills and should be able to independently compile model validation reports, follow-through on mitigation of validation findings, and documentation thereof. Very strong data management and analysis skills with experience in relevant software packages, e.g., R and Python. Good presentation & communication skills Candidates with Mathematics/Statistics/Economics/Engineering/ MBA or allied background holding Graduate/Post-Graduate degrees are preferred. CFA / FRM certification will be a plus for the role. How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

About The Role : Job TitleAI/ML Model Validation Analyst, NCT LocationMumbai, India Role Description The Risk division plays a critical role in identifying and managing a wide range of risks to which Deutsche Bank is exposed as part of its global operations from credit and market risks to non-financial risks. As an integral part of this division, Model Risk Management (MoRM) is tasked with performing independent model validation and actively managing model risk at a global level in line with Deutsche Banks risk appetite. Its teams are located in Mumbai, Frankfurt, Berlin, London and New York. Assigned to the AI/ML Validation unit in Mumbai, you will focus on developing and maintaining a central modelling and validation service covering all AI/ML Models. We have been investing heavily in digital technology and infrastructure with the aim of making Deutsche Bank more efficient, more resilient and less complex. This is your opportunity to make a valuable contribution and help drive our business forward in a fast-paced environment. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Review and analyse Machine Learning and Artificial Intelligence models applied across various business use cases in banks. Understand the ML or AI models and implementation methods used, where appropriate, verify models and their conceptual soundness, propriety of implementation and assess the assumptions, limitations and weaknesses of the model in context of the business and the control environment surrounding the business. Communicate outcomes of your review and analysis with key model stakeholders including business stakeholders, model developers and divisional control officers. Actively engage with the due diligence aspects of the new model approval process and Bank wide strategic initiatives Work on developing validation methods and automation, where possible. Your skills and experience Minimum 6 months - 2 years of experience in the relevant field Educated to Graduate / Masters level or equivalent qualification/ relevant work experience in a numerate subjects such as Data Science Mathematics, Statistics, Machine Learning, Physics or Engineering Some experience in a model validation or model development roles preferably in the AI/ML space. Excellent mathematical / statistical abilities and an understanding of the platforms like GCP, AWS, AZURE etc. Experience evaluating or validating Large Language Models (LLMs) and/or their output is an added advantage. Knowledge of Banking and Financial Industry is an added advantage. Excellent communication skills, both written and verbal Ability to author structured and concise validation reports. Fluent in English (written and spoken). How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

About The Role : Job Title- Risk Reporting Analyst, NCT Location- Mumbai, India Role Description CRO Treasury Risk Management (TRM) provides a holistic coverage of all the risks managed by the Treasury function, including capital risk, liquidity risk, structural interest rate and FX risks, recovery and resolution planning. TRM Capital Risk Management acts as the 2nd line of defense control function for capital risk, which defines the control framework against the risk of insufficient capital at Group and entity level as well as coordinates DBs Internal Capital Adequacy Assessment Process (ICAAP). The Economic Capital Risk Management team sets the banks economic capital adequacy framework and establishes controls for certain economic risks. Economic capital adequacy framework comprises the banks principles for risk quantification approaches under the economic perspective and economic loss absorbing capacity. Controls for economic risks refer to Pillar 2 risk types such as step-in risk and insurance risk and risks related to intangible assets. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Support in the ongoing monitoring, reporting and escalation of DB Groups economic capital adequacy metrics. Maintain a robust control environment for DB Groups economic capital models, including data quality and model risk activities. Contribute to improvement initiatives related to the models that measure the risk related to the banks earnings volatility risk, software assets portfolio and risk type diversification. Analyze the changes in DBs risk profile and the differences between economic and regulatory capital models (i.e. mutual information between Pillar 1 and Pillar 2). Coordinate disclosure (e.g. Pillar 3 report) and external engagement points (DB Group supervisors) on economic capital models. Support in the implementation of measures required by supervisors, auditors and validators. Your skills and experience Education and Experience: Relevant university degree or equivalent necessary. Prior experience in risk frameworks, risk modelling or capital adequacy topics. Competencies: Knowledge about key regulations on capital adequacy/ICAAP Hands-on working approach with good analytical skills and strong attention to detail. Ability to present information to senior management in an appropriate way (quality & format). Ability to independently liaise with internal stakeholders. Ability to manage multiple tasks or projects at once and within given timeframes. Confident in management of models, handling and analyzing large amount of data. Proficient in Microsoft Office and Power Point. Personal characteristics: Excellent communication skills in business-fluent English, verbal and written. A team player, able to work collaboratively in a global diverse team within a complex management structure and virtual team across the globe. Focused and self-motivated with continuous improvement mind-set. Goal-oriented, positive and constructive attitude. Ability to cope well under pressure and within deadlines. How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

About The Role : In Scope of Position based Promotions (INTERNAL only) Job Title- Risk Frameworks Specialist, AS Location- Pune, India Role Description Market Risk Management (MRM) provides an independent view of market risks to Deutsche Banks senior management and manages Deutsche Banks Market Risk position in an independent and neutral way. The Market Risk Analysis and Control (MRAC) function is responsible for the provision of all official market risk metrics and core analysis in support of risk management decision making, on behalf of the Market Risk Management department. The team has a global presence with staff located in London, New York, Singapore, Mumbai and Pune. The team operates a business/asset class and risk metric aligned organisational matrix supported by central functions. Functionally the team is organised as follows: Asset Class Teams own the front to back process for the asset class, infrastructure optimization, market data optimization, MRM management interface. This team is divided by business e.g. Equity, Credit, FX, Rates, Emerging Markets, and Treasury etc. Metric Production and Analysis - risk position data validation, calculation and reporting of all official market risk exposures and metrics using Historical Simulation, provision of analysis and commentary across all relevant risk metrics Strategic Production FRTB calculations, processes, controls and reporting Run the Bank (RTB) Change - continuous improvement, business process reengineering, stability and process optimisation, test execution management Data Quality and Operational Governance - data standards, completeness and accuracy, BCBS compliance, governance, documentation (KOP) Reporting strategic reporting and related data requirements, optimisation of reporting inventory and production, branding and quality of key reports COO organisational development, audit management, regulatory liaison What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities This role focuses on a number of activities across Metric Production and Analysis , Data Quality and Reporting for individual asset classes and Deutsche Bank as a whole. The primary responsibilities will be: Risk feed validation, mapping and related control Running of daily, weekly and month risk metrics like VaR, SVaR, IRC etc Review of various risk metrics at a business & portfolio level Generation and review of critical risk reports across different risk metrics VaR/ SVaR, EC, PST, IRC/CVA Work closely with other MRAC functions, MRMs and Finance teams for risk analysis and resolve issues around respective asset classes Collate and analyse data to help highlight the issues that are impacting the daily production process and contribute to initiatives to resolve them. Contribute to governance forums around BCBS239 Support testing of the banks risk models e.g Stressed Period Selection etc. Your skills and experience Grad/post-grad degree. Qualified in a numerate discipline (Engineering/Maths/Statistics) will be plus. Strong understanding of financial markets, products, derivative pricing, and methodology Excellent communication skills ability to articulate technical and financial topics with global stakeholders A reliable team player with the motivation to work in a dynamic, international and diverse environment. A committed and motivated individual for self-development and growth Keen interest in various risk frameworks and how they are interconnected for banks capital Basic experience in using large datasets with experience in relevant software packages, e.g. MS Excel, MS Access, VBA, and SQL. Experience with additional programming languages is a plus, e.g. Python, Matlab, R, or C++. Knowledge of coding in Python and SAS tool useful Able to multi-task and deliver under tight deadlines Able to work different shifts Benefits: This is an exciting opportunity to work in a diversified role with exposure to global stakeholders and multiple business lines, including investment and commercial bank exposure. The team is a small, highly skilled group with a flat and globally aligned hierarchy. As part of the Deutsche Bank Risk Division this team has access to the industrys state-of-the-art risk management models. How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

Senior Geotechnical Engineer Work Location: Gurgaon/Hyderabad We invite you to bring your Geotechnics into play as you coordinate with other team members and the project manager for timely delivery of project. To succeed in this role you must have B.Tech in Civil Engineering and M.Tech in Geotechnical Engineering from premier colleges IITs/NITs/DTU. Are you our new Senior Engineer - Geotechnical - Bridges & Civils. Your key tasks and responsibilities will be: Interpretations of Geotechnical Investigation Reports and use of appropriate geotechnical design parameters. Geo- seismic hazard assessment (Good to have but not necessary). Ground improvement – CMC, PVD, Stone columns etc. Soil structural Interaction Analysis Modelling and Validation. Slope stability analysis and Support system design. Ground movement, Settlement Prediction and risk assessments for Urban structures. Instrumentation and Monitoring scheme proposals and data reviewing. Prepare Geotechnical/geological design specifications and design criteria. Sheet piles, Combi walls, Secant pile and other retaining system. Personal Attributes Excellent command of English language with proven report writing skills. Strong attention to detail and problem-solving ability. You take ownership for the deliverables, your learning and career growth. Ability to work independently and collaboratively in a multidisciplinary team. Your starting point for constant growth From the moment you join Ramboll, we will support your personal and professional development so that you grow with the company. For this role, we believe your starting point is: Must possess 6 plus years hands on design experience included in heavy civil structures foundation, Ground improvement, Marine, Earth retention system. Experience in Geo-seismic hazard analysis, seismic risk assessment, or a related field. Experience with the European design code (Euro codes/British Codes) will be added advantage. Candidates having experience in working with Multinational Companies/Overseas will be preferred. Proficiency in Plaxis 2D, Plaxis 3D, WALLAP, GeoStudio. Knowledge of Python scripting/Automation is big plus. Should be a good team member and should coordinate with other team members and the project manager for timely delivery of project. Qualification Additional Information

business development - Warehouse PPC/BD-W/1312211 Contract Logistics PPL Head Office Posted On 16 Apr 2025 End Date 31 May 2025 Required Experience 3 - 5 years ShareApply Basic Section No. Of Openings 1 Designation Grade Assistant Manager - M3 Freshers/Experience Experience Employee Bonus One Month Organisational GPCOMP Pon Pure Chemicals Group Company Name Pon Pure Logistics Private Limited Department Contract Logistics Country India State Tamil Nadu Region Chennai Branch PPL Head Office Skills Skill Sales & Marketing Skills Communication skills Customer Data Minimum Qualification Under Graduate CERTIFICATION No data available Working Language English Hindi Tamil About The Role Person should have experience in business development warehousing business and strong customer data base. person able to convert existing customers on a faced manner. Product knowledge and communication skills are essential capable enough to achieve the targets as per the time frame -from the date of joining within three JC business conversion should take place. .

Job Description We are seeking a highly skilled Senior Python Engineer with extensive experience in FastAPI and microservices architecture to join our dynamic team. The ideal candidate will have a strong technical background, proven leadership in technical teams, and expertise in building scalable, resilient, and secure applications. Key Responsibilities: Lead the design, development, and deployment of applications using microservice architecture. Develop and maintain FastAPI-based backend services with high performance and scalability. Implement best practices in logging, monitoring, health checks, scalability, resilience, service discovery, API gateways, and error handling. Ensure code quality, security, and performance optimization. Work with containerization technologies like Docker and Kubernetes for application deployment. Collaborate with cross-functional teams to define, design, and ship new features. Establish and manage CI/CD pipelines for seamless application deployment. Implement best practices for API design, development, and security. Set up and maintain monitoring and logging tools (e.g., Prometheus, Grafana). Ensure adherence to version control systems (e.g., Git) and collaborative workflows. Qualifications Proven experience in leading technical teams and developing applications using microservice architecture. Strong proficiency in Python and FastAPI. Deep understanding of Pydantic for data validation in FastAPI. Experience with containerization (Docker, Kubernetes). Familiarity with CI/CD pipelines and automation tools. Knowledge of API design and implementation best practices. Experience working with monitoring and logging tools (e.g., Prometheus, Grafana). Strong understanding of security best practices in microservices-based applications. Nice to Have: Experience with Retriever models, including implementation of chunking strategies. Familiarity with vector databases and their use cases. Understanding of optimal approaches in querying LLM models via API. Experience with prompt engineering and different strategies for effective interactions with LLMs. Exposure to various prompt engineering techniques in different scenarios

The purpose of this role is to take responsibility for conducting automated and manual tests to ensure the software created by developers functions properly and meets the business needs as well. Assessing code is one of the main duties of test engineers. This role is responsible for fully testing the product or system and tracking issues and defects at all levels of their testing. Job Description: Experience : 5- 7 years Requirements : Bachelors/Masters degree in Computer Science or related field. 5-6 years of experience in software quality assurance. Good understanding of Generative AI tools and platforms - especially LLMs. Foundation Knowledge of Gen-AI concepts, technologies, tools and frameworks Basic understanding of LLM models, prompt engineering, and some exposure to AI Art models and tools Solid knowledge of software testing methodologies, tools, and processes. Excellent analytical and problem-solving skills. Effective communication and collaboration skills. Proven ability to lead and mentor team members. Ability to lead quality assurance for data-driven and data-intensive apps and solutions Performing thorough data validation and verification to ensure accuracy and consistency of data. This includes developing and executing test plans, scripts, and tools for data verification. Build and execute test plans for workflow driven apps and solutions, and pipeline automation solutions Developing and implementing automated testing tools and frameworks to streamline QA processes. Optimize testing procedures for efficiency and effectiveness. Responsibilities : >Lead and execute comprehensive testing strategies for software applications, ensuring high quality and reliability. >Hands-on experience with API test tools (ex. Postman, SOAP UI, etc.) , API test automation >Proficient in designing, implementing, and maintaining automated test scripts. >Thorough understanding of Gen AI automation principles and implementation. > Proven experience on testing of creative apps . > Experience with testing mobile apps is an advantage (nice-to-have) >* Experience with testing game environments, and game developments is an advantage (nice-to-have) > Collaborate with cross-functional teams to define testing requirements and ensure effective test coverage. >Conduct test case reviews, identify gaps, and provide constructive feedback to improve overall test quality. >Analyze and troubleshoot complex issues in a timely manner, documenting and communicating findings. >Stay updated with industry best practices and emerging technologies in QA and automation. >Mentor and guide junior QA engineers, fostering a collaborative and knowledge-sharing environment. >Continuously improve testing processes and methodologies to enhance efficiency and effectiveness. Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Permanent

Apply now » .buttontext67bbcd0b84b126cf a{ border1px solid transparent; } .buttontext67bbcd0b84b126cf a:focus{ border1px dashed #00a3e0 !important; outlinenone !important; } Currently at TechnipFMC? Apply here. Intern/Apprentice Subsea/Surface Engineering Location: Hyderabad, IN #job-location.job-location-inline {displayinline;} Employment type: Employee Place of work: Office Offshore/Onshore: Onshore .buttontext3b34abe12d83182e a{ border1px solid transparent; } .buttontext3b34abe12d83182e a:focus{ border1px dashed #5B94FF !important; outlinenone !important; } .buttontexta77353c8ab1a0824 a{ border1px solid transparent; } .buttontexta77353c8ab1a0824 a:focus{ border1px dashed #5B94FF !important; outlinenone !important; } TechnipFMC is committed to driving real change in the energy industry. Our ambition is to build a sustainable future through relentless innovation and global collaboration – and we want you to be part of it. You’ll be joining a culture that values curiosity, expertise, and ideas as well as diversity, inclusion, and authenticity. Bring your unique energy to our team of more than 20,000 people worldwide, and discover a rewarding, fulfilling, and varied career that you can take in anywhere you want to go. Job Purpose About The Role You are meant for this job if: Skills .buttontextb2a1d6d26c880f7c a{ border1px solid transparent; } .buttontextb2a1d6d26c880f7c a:focus{ border1px dashed #5B94FF !important; outlinenone !important; } Being a global leader in the energy industry requires an inclusive and diverse environment. TechnipFMC promotes diversity, equity, and inclusion by ensuring equal opportunities to all ages, races, ethnicities, religions, sexual orientations, gender expressions, disabilities, or all other pluralities. We celebrate who you are and what you bring. Every voice matters and we encourage you to add to our culture. TechnipFMC respects the rights and dignity of those it works with and promotes adherence to internationally recognized human rights principles for those in its value chain. Learnmore about TechnipFMCand find other open positions by visiting ourCareer Page. Follow us onLinkedInfor company updates. Date posted: Apr 29, 2025 Requisition number: 12941 Apply now »

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description: Let’s do this. Let’s change the world. We are looking for highly motivated expert Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks. The ideal candidate will be responsible to design, develop, and optimize data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertise in big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management. Roles & Responsibilities: Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process large-scale datasets Understand the biotech/pharma or related domains & build highly efficient data pipelines to migrate and deploy complex data across systems Design and Implement solutions to enable unified data access, governance, and interoperability across hybrid cloud environments Ingest and transform structured and unstructured data from databases (PostgreSQL, MySQL, SQL Server, MongoDB etc.), APIs, logs, event streams, images, pdf, and third-party platforms Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring Expert in data quality, data validation and verification frameworks Innovate, explore and implement new tools and technologies to enhance efficient data processing Proactively identify and implement opportunities to automate tasks and develop reusable frameworks Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories. Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions Must-Have Skills: Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies. Proficiency in workflow orchestration, performance tuning on big data processing. Strong understanding of AWS services Ability to quickly learn, adapt and apply new technologies Strong problem-solving and analytical skills Excellent communication and teamwork skills Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices. Good-to-Have Skills: Data Engineering experience in Biotechnology or pharma industry Experience in writing APIs to make the data available to the consumers Experienced with SQL/NOSQL database, vector database for large language models Experienced with data modeling and performance tuning for both OLAP and OLTP databases Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Education and Professional Certifications Any Degree and 6-8 years of experience AWS Certified Data Engineer preferred Databricks Certificate preferred Scaled Agile SAFe certification preferred Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description We are looking for a skilled Validation Associate Analyst to ensure our Master Data Management solutions are of good quality , compliant and GxP validated . As a key contributor, you will collaborate closely with cross-functional teams to ensure that the data mastering solutions and pipelines follow the required validation processes, documentation, and comply with Amgen’s standard operating procedures, policies, and guidelines. Your expertise will be instrumental in ensuring quality and adherence to required standards so that the engineering teams can build and deploy products that are compliant. Roles & Responsibilities Plan, coordinate, and execute validation activities, including qualification and validation of data products and software applications. ? Develop validation documentation such as Validation Plans, Validation Protocols (IQ/OQ), and Validation Reports and get reviewed and approved Ensure validation strategies meet regulatory requirements and company standards Write Installation Qualification (IQ), Operational Qualification (OQ), and Computer System Validation documents and get reviewed, and approved Stay updated on relevant changes to Amgen’s SOPs and ensure validation practices are aligned with evolving standards. ? Collaborate with cross-functional teams, including quality assurance, system owners, business owners, RunOps , engineering, and data engineering teams to drive validation activities and meet project deadlines. ? Track the progress of validation activities and work closely with the product owner and scrum master to ensure validation activities timelines are aligned with the overall project plan. ? Ensure timely and effective completion of all validation activities in line with project objectives and schedules. ? Ensure proper documentation of validation activities, including deviations, change control, and non-conformance management. ? Identify opportunities for process improvements in validation activities. ? Stay current on new technologies , validation trends, and industry best practices to improve validation efficiencies. ? Collaborate and communicate effectively with the product teams. ? Basic Qualifications and Experience Master’s degree with 1 - 3 years of experience in Business, Engineering, IT or related field OR Bachelor’s degree with 2 - 5 years of experience in Business, Engineering, IT or related field OR Diploma with 6 - 8 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: 2 + years of experience in validation in a G x P -regulated environment (pharmaceutical, biotech, medical devices, etc.) Experience of working in software validation projects Strong experience on tools like ALM , JIRA etc Must have worked in Agile or SAFe projects Experience with automated and computer-controlled systems validation (21 CFR Part 11) Proficiency in developing and executing validation protocols (IQ, OQ, PQ), reports, and related documentation Candidate must be able to write validation scripts in ALM and execute them independently Experience with computer system validation and software validation is a plus Strong problem-solving and analytical skills Excellent communication and teamwork skills Good-to-Have Skills: Understanding of compliance and regulatory considerations in master data. In depth knowledge of GDPR and HIPPA guidelines . Good to have prior work experience in MDM domain Hand son experience on JIRA, Confluence Professional Certifications CSV Certified Agile or SAFe certified Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description: Let’s do this. Let’s change the world. We are looking for highly motivated expert Data Engineer who can own the design & development of complex data pipelines, solutions and frameworks. The ideal candidate will be responsible to design, develop, and maintain data pipelines, data integration frameworks, and metadata-driven architectures that enable seamless data access and analytics. This role prefers deep expertise in big data processing, distributed computing, data modeling, and governance frameworks to support self-service analytics, AI-driven insights, and enterprise-wide data management. Roles & Responsibilities: Design, develop, and maintain complex ETL/ELT data pipelines in Databricks using PySpark, Scala, and SQL to process large-scale datasets Understand the biotech/pharma or related domains & build highly efficient data pipelines to migrate and deploy complex data across systems Design and Implement solutions to enable unified data access, governance, and interoperability across hybrid cloud environments Ingest and transform structured and unstructured data from databases (PostgreSQL, MySQL, SQL Server, MongoDB etc.), APIs, logs, event streams, images, pdf, and third-party platforms Ensuring data integrity, accuracy, and consistency through rigorous quality checks and monitoring Expert in data quality, data validation and verification frameworks Innovate, explore and implement new tools and technologies to enhance efficient data processing Proactively identify and implement opportunities to automate tasks and develop reusable frameworks Work in an Agile and Scaled Agile (SAFe) environment, collaborating with cross-functional teams, product owners, and Scrum Masters to deliver incremental value Use JIRA, Confluence, and Agile DevOps tools to manage sprints, backlogs, and user stories. Support continuous improvement, test automation, and DevOps practices in the data engineering lifecycle Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions Must-Have Skills: Hands-on experience in data engineering technologies such as Databricks, PySpark, SparkSQL Apache Spark, AWS, Python, SQL, and Scaled Agile methodologies. Proficiency in workflow orchestration, performance tuning on big data processing. Strong understanding of AWS services Ability to quickly learn, adapt and apply new technologies Strong problem-solving and analytical skills Excellent communication and teamwork skills Experience with Scaled Agile Framework (SAFe), Agile delivery practices, and DevOps practices. Good-to-Have Skills: Data Engineering experience in Biotechnology or pharma industry Experience in writing APIs to make the data available to the consumers Experienced with SQL/NOSQL database, vector database for large language models Experienced with data modeling and performance tuning for both OLAP and OLTP databases Experienced with software engineering best-practices, including but not limited to version control (Git, Subversion, etc.), CI/CD (Jenkins, Maven etc.), automated unit testing, and Dev Ops Education and Professional Certifications Minimum 5 to 8 years of Computer Science, IT or related field experience AWS Certified Data Engineer preferred Databricks Certificate preferred Scaled Agile SAFe certification preferred Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Ability to learn quickly, be organized and detail oriented. Strong presentation and public speaking skills. EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

Validation Engineer I What you will do Let’s do this. Let’s change the world. We are seeking an experienced Validation Engineer to work on a GxP platform supporting the Regulatory Submission system and Clinical Trial Registry system. This role will be pivotal in ensuring compliance, efficiency, and innovation in the management of data validation processes. The successful candidate will work on a small team and support continuous improvements and automation within the program. This position combines technical expertise, validation experience, and a strong understanding of regulatory requirements. The role also leverages domain and business process expertise to drive ongoing improvements to validation and meets our regulatory and validation procedures. This role involves working closely with developers and business analysts to ensure that the technical requirements for upcoming development are thoroughly elaborated and validated. Roles & Responsibilities: Develop comprehensive test plans and strategies based on project specifications and requirements. Perform manual and automated testing of software applications, including functional, regression, and performance testing. Document and report defects identified during testing and collaborate with development teams for resolution. Maintain detailed records of test plans, test cases, and test results to ensure traceability and compliance. Validate test scenarios against feature acceptance criteria and customer expectations. Ensure system compliance with regulatory requirements for data integrity, traceability, and reliability. Identify opportunities to enhance testing efficiency and minimize manual efforts. Evaluate and adopt tools and technologies to improve automation capabilities. Keep validation documentation updated and aligned with GxP standards. Ensure strict adherence to change management processes for validated systems. Stay informed on industry trends, emerging technologies, and regulatory updates relevant to GxP. Provide expert technical support in validation to optimize quality, efficiency, and cost for developing, troubleshooting, and improving new and existing applications and platforms. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master’s degree and 1 to 3 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Bachelor’s degree and 3 to 5 years of Life Science/Biotechnology/Pharmacology/Information Systems experience OR Diploma and 7 to 9 years of Life Science/Biotechnology/Pharmacology/Information Systems experience Experienced in GxP validation process Have 4-5 years of experience in the Pharmaceutical Industry Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology Experience with Agile software development methodologies (Scrum) Excellent communication skills and the ability to interface with senior leadership with confidence and clarity Experience in writing requirements for the development of a modern web application Strong understanding of GAMP 5 guidelines, 21 CFR Part 11, and Annex 11. Proficiency in automation tools, data systems, and validation software. Preferred Qualifications: Experience in Clinical Trial Registry and Regulatory submission publishing systems and processes Knowledge of the Disclose application from Citeline and docuBridge from Lorenz Demonstrated expertise in a scientific domain area and related technology needs Understanding of scientific software systems strategy, governance, and infrastructure Familiarity with low-code, no-code test automation software Technical thought leadership Able to communicate technical or complex subject matters in business terms Knowledge of DevOps, Continuous Integration, and Continuous Delivery methodology Professional Certifications: SAFe for Teams certification (preferred) Soft Skills: Able to work under minimal supervision Skilled in providing oversight and mentoring team members. Demonstrated ability in effectively delegating work Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Skill required: Insight Engine - Analytics Insights Designation: Analytics and Modeling Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years What would you do? We are seeking a Machine Learning Data Scientist with 2 to 3 years of hands-on experience to join our growing Insights and Analytics team. The ideal candidate will be proficient in building ML models using supervised and unsupervised learning techniques, comfortable working with Python-based ML libraries, and experienced in data preparation workflows. Familiarity with Microsoft's AI/ML ecosystem is a strong advantage. What are we looking for? Preferred (Strong Advantage): Hands-on experience with Azure Machine Learning Studio and Automated ML. Familiarity with Azure Cognitive Services for vision, language, and decision tasks. Experience working with Microsoft Fabric and Synapse ML integration. Qualifications: Bachelor s or Master's degree in Computer Science, Data Science, Engineering, or related field. 2–3 years of experience in applied machine learning and data science projects. Solid understanding of model training, validation, and deployment workflows. Experience working with version control (e.g., Git) and collaborative development environments.Nice to Have: Familiarity with tools that help automate and manage the process of building, testing, and deploying machine learning models (MLOps and CI/CD pipelines). Basic understanding of cloud-based architecture and APIs. Roles and Responsibilities: Develop and implement machine learning models using supervised and unsupervised techniques. Apply appropriate machine learning algorithms for prediction tasks (e.g., linear regression, decision trees, neural networks) and data segmentation (e.g., k-means clustering, hierarchical clustering) based on project needs. Perform data preprocessing, feature engineering, and model evaluation. Use Python libraries such as scikit-learn, TensorFlow, and others to build and test models. Analyse and manipulate structured datasets using notebooks (e.g., Jupyter). Collaborate with data engineers, analysts, and product teams to translate business problems into ML solutions. Document model performance, data flows, and process pipelines. Qualification Any Graduation

Skill required: Property & Casualty - Catastrophe Risk Management Designation: CAT Modeling & Analytics Sr Analyst Qualifications: BE/BTech/Master of Business Administration Years of Experience: 5 to 8 years What would you do? 1.Perform Client's Commercial Line and Specialty lines Monthly and Quarterly rollup - explore various data topics to improve the data validation, reconciliation, and reporting by working closely with Account Modeling, Regional Portfolio and Corporate CAT Risk Aggregation teams2.Contribute to ongoing portfolio process transformation and reporting efforts3.Ability to perform quarterly CAT risk aggregation and deliver insightful and actionable reporting to internal stakeholders4.Understand complex treaty structure and apply to portfolio risks 5.Provide stakeholders explanation of portfolio results and trending over time, model change impacts, and data quality and limitations6.Support ad-hoc reporting, corporate and unit level reinsurance placements, and deliver quarterly CAT data to external partnersClaims settlements related any client property they own or any accidentsCatastrophe Risk Management refers to the process of guiding insurers how to manage risk aggregations, deploy capital, and price insurance coverage by using computer assisted calculations to estimate the losses that could be sustained due to a catastrophic event such as a hurricane or earthquake. What are we looking for? 1.Perform Client's Commercial Line and Specialty lines Monthly and Quarterly rollup - explore various data topics to improve the data validation, reconciliation, and reporting by working closely with Account Modeling, Regional Portfolio and Corporate CAT Risk Aggregation teams2.Contribute to ongoing portfolio process transformation and reporting efforts3.Ability to perform quarterly CAT risk aggregation and deliver insightful and actionable reporting to internal stakeholders4.Understand complex treaty structure and apply to portfolio risks 5.Provide stakeholders explanation of portfolio results and trending over time, model change impacts, and data quality and limitations6.Support ad-hoc reporting, corporate and unit level reinsurance placements, and deliver quarterly CAT data to external partners Roles and Responsibilities: 1.Perform Client's Commercial Line and Specialty lines Monthly and Quarterly rollup - explore various data topics to improve the data validation, reconciliation, and reporting by working closely with Account Modeling, Regional Portfolio and Corporate CAT Risk Aggregation teams2.Contribute to ongoing portfolio process transformation and reporting efforts3.Ability to perform quarterly CAT risk aggregation and deliver insightful and actionable reporting to internal stakeholders4.Understand complex treaty structure and apply to portfolio risks 5.Provide stakeholders explanation of portfolio results and trending over time, model change impacts, and data quality and limitations6.Support ad-hoc reporting, corporate and unit level reinsurance placements, and deliver quarterly CAT data to external partners Qualification BE,BTech,Master of Business Administration

Skill required: Talent Development - Learning Delivery Operations Designation: Learning Operations Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years What would you do? "This Role involves deeper understanding of the Learning Administration & Leveraging expertise to solve specific problems pertaining to Learning .Train & develop Team s Functional knowledge Administer Satisfaction surveys & General Support to Client employees and communication."Talent Development processEnsure successful delivery of learning solutions and review their effectiveness and applicability. What are we looking for? Bachelor's degree (Any discipline)"Essentials : 4-6 Years overall experience 3+ Years Learning admin process experience with similar background Desirable : HR Domain certification Certification would be a plus Successfactors Experience is a plus Exposure to BPO industry" Roles and Responsibilities: "Process Support : Read, understand and analyze client process as per the business rules as a subject matter expert. Execute the process accurately and timely as a hands-on processor. Master the given process and help the team members to overcome process related queries Escalate issues and seek advice when faced with complex issues/problems. Pay close attention to quality of written and verbal English skills within Team. Creates a logical plan, realistic estimates and schedule for an activity or project segment. Ensure LWI's are followed and updated regularly and train the team members on process updates. Ensure process controls are followed; Maintain, validate and update process documentations as applicable to ensure compliance with documentation requirements. Perform "Root Cause Analysis" on issues faces and suggest appropriate corrective action for current remediation and future control. Must be able to propose process improvement ideas which can reduce time, improved accuracy or enhance controls Participates in Knowledge Transfer of any process/client and acquires in depth knowledge of process as an SME. Participates in various internal or client initiatives related to Process. Must have clear understanding of the existing performance metrics in the process, how they are measured and improvise the measurement system to make it more effective and transparent.Team Support : Plan proper allocation of work. Support Team lead / Manager with Daily stats / reporting and MOS. Update process metrics on daily basis and maintain MIS. To be available on the floor through the day to resolve process related issues. Participate in Team building activities & Organizational initiatives. Complete training need analysis for the team on timely manner through quality reports and knowledge tests Follow the Quality Check and Audit mechanism within process to ensure delivery on SLA's. Ensure and maintain the security and confidentiality of client data. Assist in training/educating team assigned team members on learning and acquireing skills in process." Qualification Any Graduation

Seeking a Data Scientist to develop AI-driven data conversion apps, automate code generation, ensure data quality, and collaborate across teams. Requires 5+ yrs exp, Python, AI/ML skills, and strong problem-solving. Fintech experience is a plus.

Job description Consultant ( US Consultant/ Canadian Consultant / Australian Consultant ) Location : Hiring for Bangalore Mandatory Points : 1. Good English Communication is required. 2. Should be Flexible with Night shits. 3. Looking for 2024 and 2025 Freshers. 3. Must have original Degree marksheets with PDC. Consultant: responsible for meeting individual key performance metrics related to business processes assigned while adhering to quality standards under the guidance/supervision of identified mentor/lead. The employee is accountable for following process standard operating procedures. Also needs to identify various process related scenarios, perform proactive analysis around it and propose a solution or process improvement. Competencies: Ability to understand the basic nature of the domain and relating that to the entire value chain of mortgage and title insurance solutions, Timeshare property, Claims Servicing & Claims Prevention etc. Ability to Retrieve relevant information using appropriate Online Business-related Websites Ability to use these tools to perform required search and collate information. Ability to Process Simple, Medium and High complexity tasks o Follow the set guidelines/framework while structuring all work products o Maintain compliance to the Quality metrics o Ability to display the culture of FTR (First Time Right) While processing orders o Ability to quickly unlearn / learn various tools, processes and controls to deliver effectively Technical Skills : Educational Qualification and Experience: Minimum of 15 years of formal education Graduate Interested Candidate can send there 'RESUME' in this below mention mail pooja_halder@trigent.com or contact at 886191338 Role: Associate / Consultant Industry Type: BPM / BPO Department: Consulting Employment Type: Full Time, Permanent Role Category: Management Consulting Education UG: B.Com in Any Specialization, B.Sc in Any Specialization, B.B.A/ B.M.S in Any Specialization

KDataScience (USA & INDIA) is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Leading the full audit cycle by checking tax compliance, verifying financial records, and inspecting accounts. Analyzing the results of the audit and presenting possible solutions for ineffective financial practices to management. Evaluating company accounting procedures, payroll, inventory, and tax statements to guide financial policymaking. Conducting risk assessments to recommend aversion measures and cost savings. Following up with management to ensure remediations are implemented into the company's financial practices. Supervising junior auditing personnel and implementing their research work into the auditing process. Preparing and reviewing annual audit memorandums. Researching applicable federal and state laws and regulations to ensure the company's books are compliant.

Leading the full audit cycle by checking tax compliance, verifying financial records, and inspecting accounts. Analyzing the results of the audit and presenting possible solutions for ineffective financial practices to management. Evaluating company accounting procedures, payroll, inventory, and tax statements to guide financial policymaking. Conducting risk assessments to recommend aversion measures and cost savings. Following up with management to ensure remediations are implemented into the company's financial practices. Supervising junior auditing personnel and implementing their research work into the auditing process. Preparing and reviewing annual audit memorandums. Researching applicable federal and state laws and regulations to ensure the company's books are compliant.