2475 R Jobs - Page 50

Skill required: Delivery - Credit Risk Modeling Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? Data & AICredit risk modelling refers to the use of financial models to estimate losses a firm might suffer in the event of a borrower s default. What are we looking for? Primary Skills: Banking, Financial Services Credit Risk Model Development Market Risk Modelling Financial Regulations Quantitative AnalysisSecondary Skills: SQL SAS Python R Tableau VBA Qlik Sense Snowflake MatillionSoft Skills: Adaptable and flexible Commitment to quality Ability to work well in a team Agility for quick learning Written and verbal communication Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day-to-day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Qualification Any Graduation

Job Title - Data Eng, Mgmt. & Governance - Analyst – S&C Global Network Management Level: 11 Location: Hyderabad Must have skills: Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Good to have skills: Exposure to Retail, Banking, Healthcare projects and knowledge of PowerBI & PowerApps is an added advantage. Job Summary :As a Data Operations Analyst, you would be responsible to ensure our esteemed business is fully supported in using the business-critical AI enabled applications. This involves solving day-to-day application issues, business queries, addressing adhoc data requests to ensure clients can extract maximum value for the AI applications. WHAT'S IN IT FOR YOU? An opportunity to work on high-visibility projects with top clients around the globe. Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners, and business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everything"”from how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Opportunity to thrive in a culture that is committed to accelerating equality for all. Engage in boundaryless collaboration across the entire organization. Roles & Responsibilities: Monitor and maintain pre-processing pipelines, model execution batches and validation of model outputs. In case of deviations or model degradation, take up detailed root cause analysis and implement permanent fixes. Debug issues related to data loads, batch pipeline, application functionality including special handling of data/batch streams. As a Data Operations Analyst, you would be working on initial triaging of code related defects/issues, provide root cause analysis and implement code fix for permanent resolution of the defect. Design, build, test and deploy small to medium size enhancements that deliver value to business and enhance application availability and usability. Responsible for sanity testing of use cases as part of pre-deployment and post-production activities. Primarily responsible for Application availability and stability by remediating application issues/bugs or other vulnerabilities. Data Operations Analysts evolve to become Subject Matter Experts as they mature in servicing the applications. Professional & Technical Skills: Proven experience (2+ years) in working as per the above job description is required. Experience/Education on Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems is preferable. Proven experience (2+ years) in working as per the above job description is required. Exposure to Retail, Banking, Healthcare projects is added advantage. Proficiency and hands-on experience in Data Engineering technologies like Python, R, SQL, Spark, Pyspark, Databricks, Hadoop etc. Ability to work with large data sets and present findings/insights to key stakeholders; Data management using databases like SQL. Experience with any of the cloud platforms like AWS, Azure, or Google Cloud for deploying and scaling language models. Experience with any of the data visualization tools like Tableau, Qlikview, and Spotfire is good. Knowledge on PowerBI & PowerApps is an added advantage. Excellent analytical and problem-solving skills, with a data-driven mindset. Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good Client handling skills; able to demonstrate thought leadership & problem-solving skills. Additional Information: - The ideal candidate will possess a strong educational background in computer science or a related field.- This position is based at our Hyderabad office. About Our Company | Accenture Qualification Experience: Minimum 2 years of experience is required Educational Qualification: Bachelors’ or masters’ degree in any engineering stream or MCA.

Skill required: Delivery - Credit Risk Modeling Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years What would you do? Data & AICredit risk modelling refers to the use of financial models to estimate losses a firm might suffer in the event of a borrower s default. What are we looking for? Primary Skills: Banking, Financial Services Credit Risk Model Development Market Risk Modelling Financial Regulations Quantitative AnalysisSecondary Skills: SQL SAS Python R Tableau VBA Qlik Sense Snowflake MatillionSoft Skills: Adaptable and flexible Commitment to quality Ability to work well in a team Result Oriented Problem Solving Skills Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

Hi We are looking to hire for SAS+R Programming. Please go through the JD and Apply Roles & Responsibilities: Create data cleaning reporting solutions, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. Contribute to process improvements and development of programming standards using R. Minimum of 3 years of experience in R programming including familiarity with R packages (e.g., Tidyverse, ggplot2, survival) Familiarity with data visualization techniques and tools in R. Write clean, efficient, and well-documented R code, conduct R code reviews, and R programming validation. Strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization. Experience with POSIT Workbench, Connect, and/or Package Manager. Good to have python & SQL knowledge Develop library of reusable checks working closely with data engineers and config specialists. Collaborate with cross functional teams in creating business rules and automated check library across TAU. Serves as a technical resource for creating data analytics to help with data validation and cleaning. Provide programming expertise for data cleaning to efficiently ensure high quality data. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. Operational experience in pharmaceutical drug development with significant direct exposure to clinical development and data operations required for the reporting of clinical trial data (e.g. data review, regulatory submissions, safety updates, etc.) Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable. To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Bangalore Search : Job Code # 375 b) For Position in Hyderabad Search : Job Code # 376

Hi We are looking to hire for SAS+R Programming . Please go through the JD and Apply Roles & Responsibilities: Create data cleaning reporting solutions, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans. Contribute to process improvements and development of programming standards using R. Minimum of 3 years of experience in R programming including familiarity with R packages (e.g., Tidyverse, ggplot2, survival) Familiarity with data visualization techniques and tools in R. Write clean, efficient, and well-documented R code, conduct R code reviews, and R programming validation. Strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization. Experience with POSIT Workbench, Connect, and/or Package Manager. Good to have python & SQL knowledge Develop library of reusable checks working closely with data engineers and config specialists. Collaborate with cross functional teams in creating business rules and automated check library across TAU. Serves as a technical resource for creating data analytics to help with data validation and cleaning. Provide programming expertise for data cleaning to efficiently ensure high quality data. Ensure accurate delivery by creating macros for Standard listings for the department based on specifications. Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests. Ability to set up and configure analytics for coding reports, safety review and any risk-based monitoring activities. Operational experience in pharmaceutical drug development with significant direct exposure to clinical development and data operations required for the reporting of clinical trial data (e.g. data review, regulatory submissions, safety updates, etc.) Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable. To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Mumbai Search : Job Code # 373 b) For Position in Pune Search : Job Code # 374

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring the successful delivery of projects. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead the effort to design, build, and configure applications Act as the primary point of contact Manage the team and ensure successful project delivery Professional & Technical Skills: Must To Have Skills: Proficiency in PySpark Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 7.5 years of experience in PySpark This position is based at our Hyderabad office A 15 years full-time education is required Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Assist with the data platform blueprint and design. Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Develop and maintain data platform components. Contribute to the overall success of the project. Professional & Technical Skills: Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform. This position is based at our Pune office. A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Assist with the data platform blueprint and design. Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Develop and maintain data platform components. Contribute to the overall success of the project. Professional & Technical Skills: Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 7.5 years of experience in Databricks Unified Data Analytics Platform. This position is based at our Hyderabad office. 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Assist with the data platform blueprint and design. Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Develop and maintain data platform components. Contribute to the overall success of the project. Professional & Technical Skills: Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 7.5 years of experience in Databricks Unified Data Analytics Platform. This position is based at our Bengaluru office. 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Assist with the data platform blueprint and design. Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Develop and maintain data platform components. Contribute to the overall success of the project. Professional & Technical Skills: Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 7.5 years of experience in Databricks Unified Data Analytics Platform. This position is based at our Chennai office. 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the organization. Roles & Responsibilities: Expected to be an SME, collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Provide solutions to problems for their immediate team and across multiple teams. Assist with the data platform blueprint and design. Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Develop and maintain data platform components. Contribute to the overall success of the organization. Professional & Technical Skills: Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform. This position is based at our Chennai office. A 15 years full time education is required. Qualification 15 years full time education

Project Role : Business Process Designer Project Role Description : Analyzes, develops, and improves workflows. Identifies inefficiencies in existing processes and proposes solutions to optimize effectiveness. Collaborates with business users to identify and define detailed product requirements and use cases. Design continuous monitoring and feedback collection to help them refine processes over time. Must have skills : SAP Sales and Distribution (SD) Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business Process Designer, you will analyze, develop, and improve workflows, identify inefficiencies in existing processes, propose solutions to optimize effectiveness, collaborate with business users to define product requirements, and design continuous monitoring for process refinement. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Develop innovative process improvement strategies Lead process optimization initiatives Implement best practices for workflow efficiency Professional & Technical Skills: Must To Have Skills: Proficiency in SAP Sales and Distribution (SD) Strong understanding of process optimization techniques Experience in workflow analysis and improvement Knowledge of business process modeling tools Hands-on experience in continuous monitoring and feedback mechanisms Additional Information: The candidate should have a minimum of 7.5 years of experience in SAP Sales and Distribution (SD) This position is based at our Noida office A 15 years full time education is required Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. Roles & Responsibilities: Expected to be an SME. Collaborate and manage the team to perform. Responsible for team decisions. Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Lead the implementation of NLP algorithms for text analysis. Design and develop NLP models for sentiment analysis. Optimize NLP models for performance and scalability. Professional & Technical Skills: Must To Have Skills: Proficiency in Natural Language Processing (NLP). Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 12 years of experience in Natural Language Processing (NLP). This position is based at our Bengaluru office. A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead the effort to design, build, and configure applications Act as the primary point of contact Manage the team and ensure successful project delivery Professional & Technical Skills: Must To Have Skills: Proficiency in PySpark Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 5 years of experience in PySpark This position is based at our Hyderabad office A 15 years full-time education is required Qualification 15 years full time education

Role & responsibilities Looking for following Technical Expertise 1. Highly proficient in Python programming. 2. Strong understanding of data science algorithms, including classical machine learning, deep learning, and data preprocessing. 3. Experience with signal processing for digital data and statistical analysis of digital biomarker datasets. Day to day responsibilities: 1. Leverage digital signal processing and machine learning techniques to transform raw signals into actionable digital measures, from raw sensor data collected in key development programs. 2. Utilize statistical algorithms to evaluate potential digital measures through comparison with patient-reported outcomes (PROs) or clinical scores. 3. Contribute towards delivery of potential digital measures for consideration as digital endpoints. 4. Conduct thorough literature reviews and contribute to the development of Statistical Analysis Plans 2 of 2 (SAP) documents. 5. Engage in scientific writing by documenting and reporting analysis results for relevant projects and datasets.

Role Summary WSP is seeking a Senior Engineer – Tailings to join our large and growing technical team in Bengaluru , supporting our global Mining business . The successful applicant will perform specialist analyses related to mining projects, specifically focusing on tailings storage facilities (TSFs) , under the direction of a global team of mining, geotechnical, and tailings engineering professionals. The successful candidate will report to the Mining Team Leader as part of the WSP GCC-IN Mining Specialist Team , delivering the highest standards of technical work and contributing to the continued success of the mining business by supporting client-focused project delivery . The role involves close collaboration with WSP’s global mining leaders and will focus on numerical analyses of tailings storage facility . Technical duties will include conducting analyses, reviewing data, and preparing technical inputs for reports related to tailings storage facilities. Job Responsibilities – Senior Engineer – Tailings (Global Capability Centre - IN) As a Senior Tailings Engineer within the Global Capability Centre India (WSP-GCC-IN) , you will serve as a technical leader in the execution and delivery of mine waste engineering solutions for international mining projects. You will work as an integrated part of WSP’s global mining business, closely collaborating with lead country teams, contributing to high-quality project deliverables, mentoring technical staff, and supporting internal development initiatives. This is a delivery-focused role with no direct client interaction . Lead the technical execution and review of designs for mine waste facilities, including tailings storage facilities, water storage impoundments, waste rock dumps, heap leach pads, and integrated waste facilities. Ensure all deliverables meet design expectations in line with global industry standards, including GISTM, ICOLD, CDA, and country-specific guidelines, as directed by lead country teams. Provide specialized input on geotechnical and civil engineering aspects such as slope stability, seepage and deposition modelling, deformation modelling, etc for tailings storage facility. Prepare and review key technical documents including calculations, drawings, specifications, risk assessments and project reports. Lead the technical delivery of assigned project packages, working in close coordination with lead country Project Managers and Discipline Leads. Coordinate multi-disciplinary inputs from within the GCC team to ensure integration of design components and timely submission of deliverables. Track the progress of tasks and deliverables using tools such as Jira or other project management platforms, as required by the lead country teams. Ensure efficient and high-quality technical outputs that align with the scope, schedule, and budget set by lead countries. Mentor junior and intermediate engineers within the GCC team by providing technical guidance, reviewing outputs, and fostering a learning culture. Identify technical development needs and support the upskilling of team members through hands-on training and knowledge sharing. Provide QA/QC oversight on deliverables prepared by the GCC team. Actively participate in global mining technical networks and internal practice area groups to align with WSP’s global delivery standards. Collaborate with engineering specialists and design teams from other WSP offices to support multi-office project delivery. Contribute to the development and delivery of internal training modules, technical workshops, and knowledge-sharing sessions. Maintain and enhance contributions to internal experience databases and knowledge management systems. Provide technical input and support for internal strategy development and resource planning to enhance team capability and delivery efficiency. Assist lead countries in the preparation of technical proposal inputs and resource planning during the bidding stage, as requested. Promote and uphold WSP’s health, safety, environmental, and quality standards across all project work. Ensure compliance with international protocols for safety, risk management, data protection, and design quality. Mandatory Skills Excellent spoken and written English. A strong technical background in geotechnical, civil, or mining engineering, with proven expertise in numerical analyses. Willingness to learn new software tools and proficient in numerical modeling of tailings storage facility. Qualifications Master’s or Ph.D. degree in geotechnical, civil, or mining engineering. 8–12 years of experience in Tailings Management .

Data Engineer RESPONSIBILITIES/TASKS: - Work with Technical Leads and Architects to analyse solutions. - Translate complex business requirements into tangible data requirements through collaborative work with both business and technical subject matter experts. - Develop / modify data models with an eye towards high performance, scalability, flexibility, and usability. - Ensure data models are in alignment with the overall architecture standards. - Create source to target mapping documentation. - Subject matter knowledge guidance in source system analysis and ETL build. - Responsible for overseeing data integrity in the Smart Conductor system - Serves as data flow and enrichment “owner” with deep expertise in data dynamics, capable of recognizing and elevating improvement opportunities early in the process - Work with product owners to understand business reporting requirements and deliver appropriate insights on regular basis - Responsible for system configuration to deliver reports, data visualizations, and other solution components - SKILLS REQUIRED: - More than 5 years of software development experience - Proficient in Power BI/Tableau, Google data Studio, R, SQL, Python - Strong knowledge of cloud computing and experience in Microsoft Azure - Azure ML Studio, Azure Machine Learning - Strong knowledge in SSIS - Proficient in Azure services - Azure Data Factory, Synapse, Data Lake - Experience querying, analysing, or managing data required! - Experience within the healthcare insurance industry with payer data strongly preferred - Experience in data cleansing, data engineering, data enrichment, data warehousing/ Business Intelligence preferred. - Strong analytical, problem solving and planning skills. - Strong organizational and presentation skills. - Excellent interpersonal and communication skills. - Ability to multi-task in a fast-paced environment. - Flexibility to adapt readily to changing business needs in a fast-paced environment. - Team player who is delivery-oriented and takes responsibility for the team's success. - Enthusiastic, can-do attitude with the drive to continually learn and improve. - Knowledge of Agile, SCRUM and/or Agile methodologies. Required Skills Etl,Sql,Azure

Sony is looking for a Deep Learning engineer who has strong knowledge and experience in design and development of Deep learning models according to business objectives. In this role, the candidate must analyse the requirements, prepare design and implement Deep Learning solutions. This requires a sound understanding of ML and Deep Learning fundamentals, libraries and frameworks, end-to-end ML development pipeline. Literature survey of SOTA models as per business requirements and AS-Is reproduction of Deep Learning models. Design and development of CNN models according to the business objective, along with metrics to track their progress. Optimize the CNN models in terms of trainable parameters and MAC operations to meet the target platform. Debug the intermediate as well as final layer output of trained model using various explainable AI methods. Exploring and visualizing data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world and Evaluation approaches for model development Training models and tuning their hyperparameters Analysing the errors of the model and designing strategies to overcome them Skills set required: Advanced Python Programming Image processing using OpenCV. Keras, TensorFlow Good to have skills: Deep knowledge of math, probability, statistics and algorithms CNN Development Advanced OOPS concepts Roles and Responsibilities 1. Analyse customer requirements Design and Implement features requested by customer Verify, finetune solution and model and artefacts Validation of quality as per requirements 2. Customer communication 3. Also mentor junior members and ensure quality of deliverables in the project

About Zscaler Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy. We're looking for an experienced Machine Learning Software Development Engineer to join our Engineering team. Reporting to the Senior Director, Machine Learning Engineering, you'll be responsible for: Leading the identification and resolution of performance issues by developing models that pinpoint root causes of poor experience and detect performance bottlenecks Developing, maintaining, and refining predictive models to forecast user behavior, system performance, and potential friction points Implementing AI/ML algorithms to detect and forecast anomalies in user performance data across multiple dimensions Overseeing the entire lifecycle of ML projects, including analysis, training, testing, building, and deploying ML models into production environments Designing and creating compelling visualizations to effectively communicate findings and insights to both technical and non-technical stakeholders What We're Looking for (Minimum Qualifications) Must have 3+ years of experience as a Software Engineer or ML platform engineer Proficiency with data science tools and platforms such as Python, R, TensorFlow, SQL, and related libraries and frameworks 7+ years of experience in Python and SQL Expertise in multi-dimensional anomaly detection algorithms, with a specific focus on time series data sets Experience in building and deploying ML models in production environments, including model orchestration using tools like Kubernetes and Airflow What Will Make You Stand Out (Preferred Qualifications) Network troubleshooting using tools like traceroute and understanding of various protocols such as HTTP, TCP, ICMP is highly advantageous Familiarity with Generative AI and NLP techniques Familiarity with networking and systems observability #LI-AN4 #LI-Hybrid At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

These professionals must experiment to gain results and push the boundaries of their research areas. Biotech companies might need molecular biologists to genetically engineer new crops to improve their health and consumption rate. Other molecular.

Role Definition: Data Scientists focus on researching and developing AI algorithms and models. They analyse data, build predictive models, and apply machine learning techniques to solve complex problems. Skills: • Proficient: Languages/Framework: Fast API, Azure UI Search API (React) o Databases and ETL: Cosmos DB (API for MongoDB), Data Factory Data Bricks o Proficiency in Python and R o Cloud: Azure Cloud Basics (Azure DevOps) o Gitlab: Gitlab Pipeline o Ansible and REX: Rex Deployment o Data Science: Prompt Engineering + Modern Testing o Data mining and cleaning o ML (Supervised/unsupervised learning) o NLP techniques, knowledge of Deep Learning techniques include RNN, transformers o End-to-end AI solution delivery o AI integration and deployment o AI frameworks (PyTorch) o MLOps frameworks o Model deployment processes o Data pipeline monitoring Expert: (in addition to proficient skills) o Languages/Framework: Azure Open AI o Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search o Databases and ETL: Azure Storage Account o Expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning) o Proficiency in deep learning frameworks (TensorFlow, PyTorch) o Strong mathematical foundation (linear algebra, calculus, probability, statistics) o Research methodology and experimental design o Proficiency in data analysis tools (Pandas, NumPy, SQL) o Strong statistical and probabilistic modelling skills o Data visualization skills (Matplotlib, Seaborn, Tableau) o Knowledge of big data technologies (Spark, Hive) o Experience with AI-driven analytics and decision-making systems

Tata Tele Business Services is looking for Cluster Lead to join our dynamic team and embark on a rewarding career journey. A Cluster Lead is responsible for overseeing and managing a group or cluster of related teams or departments within an organization The primary objective is to ensure efficient operations, productivity, and the achievement of strategic goals within the assigned cluster Key Responsibilities:Team Leadership:Lead and manage a team of managers or supervisors responsible for various functions within the cluster Provide guidance, mentorship, and support to team members, fostering a positive and collaborative work environment Strategic Planning:Collaborate with senior management to develop and execute cluster-specific strategies aligned with the organization's overall goals Monitor and report on progress toward strategic objectives Operations Management:Oversee the day-to-day operations and processes of the cluster, ensuring efficiency and effectiveness Identify opportunities for process improvement and implement solutions Resource Allocation:Allocate resources, including personnel, budget, and technology, to meet the cluster's operational requirements Performance Monitoring:Establish key performance indicators (KPIs) for the cluster and ensure teams are working towards these targets Regularly assess performance and take corrective actions as needed Communication and Collaboration:Foster communication and collaboration both within the cluster and with other departments or clusters Ensure the sharing of best practices and knowledge transfer Risk Management:Identify potential risks and challenges within the cluster's operations and develop strategies to mitigate them Budget Management:Develop and manage the cluster's budget, ensuring cost control and resource optimization

Person at this position has gained significant work experience to be able to apply their knowledge effectively and deliver results. Person at this position is also able to demonstrate the ability to analyse and interpret complex problems and improve change or adapt existing methods to solve the problem. Person at this position regularly interacts with interfacing groups / customer on technical issue clarification and resolves the issues. Also participates actively in important project/ work related activities and contributes towards identifying important issues and risks. Reaches out for guidance and advice to ensure high quality of deliverables. Person at this position consistently seek opportunities to enhance their existing skills, acquire more complex skills and work towards enhancing their proficiency level in their field of specialisation. Works under limited supervision of Team Lead/ Project Manager. Roles & Responsibilities Responsible for design, coding, testing, bug fixing, documentation and technical support in the assigned area. Responsible for on time delivery while adhering to quality and productivity goals. Responsible for adhering to guidelines and checklists for all deliverable reviews, sending status report to team lead and following relevant organizational processes. Responsible for customer collaboration and interactions and support to customer queries. Expected to enhance technical capabilities by attending trainings, self-study and periodic technical assessments. Expected to participate in technical initiatives related to project and organization and deliver training as per plan and quality. Education and Experience Required Engineering graduate, MCA, etc Experience: 2-5 years Competencies Description Data engineering TCB is applicable to one who 1) Creates databases and storage for relational and non-relational data sources 2) Develops data pipelines (ETL/ ELT) to clean , transform and merge data sources into usable format 3) Creates reporting layer with pre-packaged scheduled reports , Dashboards and Charts for self-service BI 4) Has experience on cloud platforms such as AWS, Azure , GCP in implementing data workflows 5) Experience with tools like MongoDB, Hive, Hbase, Spark, Tableau, PowerBI, Python, Scala, SQL, ElasticSearch etc. Platforms- AWS, Azure , GCP Technology Standard- NA Tools- MongoDB, Hive, Hbase, Tableau, PowerBI, ElasticSearch, Qlikview Languages- Python, R, Spark,Scala, SQL Specialization- DWH, BIG DATA ENGINEERING, EDGE ANALYTICS Must to have Skills

AI/ML Engineer Summary Apply Now Noida Full-Time 3-5 Years Industry IT/Artificial Intelligence Responsibilities Develop and deploy machine learning models for various use cases. Optimize and fine-tune models for better performance. Integrate AI models into business applications. Monitor model performance and update algorithms as needed. About The Role Design and implement AI models and machine learning algorithms. The role involves collaborating with data scientists to build intelligent systems and deploying models in production. Qualifications Develop and deploy machine learning models for various use cases. Optimize and fine-tune models for better performance. Integrate AI models into business applications. Monitor model performance and update algorithms as needed. Skills Proficiency in Python and machine learning libraries. Strong understanding of natural language processing (NLP). Experience with cloud-based AI services (AWS, Google AI). Strong problem-solving and analytical skills.

Overview We are seeking an experienced and strategic Business Analyst / Functional Lead to drive solution definition, business alignment, and successful delivery of Real-Time Decisioning initiatives and play a critical role in translating complex business needs into actionable functional requirements, guiding cross-functional teams, and shaping customer-centric decisioning strategies across digital channels. Responsibilities Gather, analyze, and document business and functional requirements for decisioning use cases (e.g., next-best-action, personalized offers, customer journeys). Act as the primary liaison between business stakeholders, product owners, and technical teams for real-time decisioning solutions. Define and maintain decision logic, business rules, and outcome scenarios in alignment with marketing and CX goals. Facilitate all Agile ceremonies including sprint planning, daily stand-ups, reviews, and retrospectives. Guide the team in Agile practices, track sprint progress, and manage delivery risks. Remove blockers and coordinate across business, design, tech, QA, and operations teams. Maintain ADO board, backlog grooming, sprint metrics, and continuous improvement initiatives. Collaborate with solution architects to design customer-centric, scalable real-time decisioning frameworks. Lead discovery and requirement workshops with marketing, data, and technology stakeholders. Own the functional design documents, user stories, and solution blueprints; ensure clarity, accuracy, and traceability. Work with engineering teams to define test scenarios and validate decisioning outputs. Support rollout, training, and adoption of decisioning platforms across business units. Continuously monitor and optimize decisioning logic and KPIs in partnership with analytics teams. Qualifications Candidate should have total 9 14 years of total IT experience and at least 3+ years of relevant work experience as an RTD Functional Lead and business analysis, functional consulting, or similar roles in MarTech, AdTech, or CX platforms. Bachelor's or Master's degree in computer science, information technology, or a related field. Strong understanding of real-time decisioning platforms such as Salesforce Marketing Cloud Personalization / Interaction Studio CleverTap Proven ability to map customer journeys and define decision strategies based on personas, behavior, and context. Skilled in requirement gathering, functional documentation, user story writing, and backlog management. Excellent understanding of data flows, business rules, segmentation, and targeting. Ability to translate business needs into logical rules, decision tables, and KPIs. Strong communication and stakeholder management skills across business and technical audiences.