4689 Extract Jobs - Page 47

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. 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 a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands 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. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and data integration techniques. - Familiarity with cloud platforms such as AWS or Azure for data storage and processing. - Knowledge of data warehousing concepts and best practices. Additional Information: - The candidate should have minimum 5 years of experience in PySpark. - This position is based in Mumbai. - A 15 years full time education is required. 15 years full time education Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. 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 Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands 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. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Experience with data pipeline development and management. - Strong understanding of ETL processes and data integration techniques. - Familiarity with data quality frameworks and best practices. - Knowledge of cloud-based data solutions and architectures. Additional Information: - The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform. - This position is based in Mumbai. - A 15 years full time education is required. 15 years full time education Show more Show less

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry. Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies and will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities? Join us! We'll love to explore more about you if you have Qualification: B.E/ B.Tech/M.E/M.Tech/PhD from tier 1 engineering institutes with relevant work experience with a top technology company in computer science or mathematics-related fields with 3-5 years of experience in machine learning and NLP Knowledge and practical experience in solving NLP problems in areas such as text classification, entity tagging, information retrieval, question-answering, natural language generation, clustering, etc 3+ years of experience working with LLMs in large-scale environments. Expert knowledge of machine learning concepts and methods, especially those related to NLP, Generative AI, and working with LLMs Knowledge and hands-on experience with Transformer-based Language Models like BERT, DeBERTa, Flan-T5, Mistral, Llama, etc Deep familiarity with internals of at least a few Machine Learning algorithms and concepts Experience with Deep Learning frameworks like Pytorch and common machine learning libraries like scikit-learn, numpy, pandas, NLTK, etc Experience with ML model deployments using REST API, Docker, Kubernetes, etc Knowledge of cloud platforms (AWS/Azure/GCP) and their machine learning services is desirable Knowledge of basic data structures and algorithms Knowledge of real-time streaming tools/architectures like Kafka, Pub/Sub is a plus Your role at Level AI includes but is not limited to Big picture: Understand customers’ needs, innovate and use cutting edge Deep Learning techniques to build data-driven solutions Work on NLP problems across areas such as text classification, entity extraction, summarization, generative AI, and others Collaborate with cross-functional teams to integrate/upgrade AI solutions into the company’s products and services Optimize existing deep learning models for performance, scalability, and efficiency Build, deploy, and own scalable production NLP pipelines Build post-deployment monitoring and continual learning capabilities. Propose suitable evaluation metrics and establish benchmarks Keep abreast with SOTA techniques in your area and exchange knowledge with colleagues Desire to learn, implement and work with latest emerging model architectures, training and inference techniques, data curation pipelines, etc. To learn more visit : https://thelevel.ai/ Funding : https://www.crunchbase.com/organization/level-ai LinkedIn : https://www.linkedin.com/company/level-ai/ Show more Show less

Designation: - ML / MLOPs Engineer Location: - Noida (Sector- 132) Key Responsibilities: • Model Development & Algorithm Optimization : Design, implement, and optimize ML models and algorithms using libraries and frameworks such as TensorFlow , PyTorch , and scikit-learn to solve complex business problems. • Training & Evaluation : Train and evaluate models using historical data, ensuring accuracy, scalability, and efficiency while fine-tuning hyperparameters. • Data Preprocessing & Cleaning : Clean, preprocess, and transform raw data into a suitable format for model training and evaluation, applying industry best practices to ensure data quality. • Feature Engineering : Conduct feature engineering to extract meaningful features from data that enhance model performance and improve predictive capabilities. • Model Deployment & Pipelines : Build end-to-end pipelines and workflows for deploying machine learning models into production environments, leveraging Azure Machine Learning and containerization technologies like Docker and Kubernetes . • Production Deployment : Develop and deploy machine learning models to production environments, ensuring scalability and reliability using tools such as Azure Kubernetes Service (AKS) . • End-to-End ML Lifecycle Automation : Automate the end-to-end machine learning lifecycle, including data ingestion, model training, deployment, and monitoring, ensuring seamless operations and faster model iteration. • Performance Optimization : Monitor and improve inference speed and latency to meet real- time processing requirements, ensuring efficient and scalable solutions. • NLP, CV, GenAI Programming : Work on machine learning projects involving Natural Language Processing (NLP) , Computer Vision (CV) , and Generative AI (GenAI) , applying state-of-the-art techniques and frameworks to improve model performance. • Collaboration & CI/CD Integration : Collaborate with data scientists and engineers to integrate ML models into production workflows, building and maintaining continuous integration/continuous deployment (CI/CD) pipelines using tools like Azure DevOps , Git , and Jenkins . • Monitoring & Optimization : Continuously monitor the performance of deployed models, adjusting parameters and optimizing algorithms to improve accuracy and efficiency. • Security & Compliance : Ensure all machine learning models and processes adhere to industry security standards and compliance protocols , such as GDPR and HIPAA . • Documentation & Reporting : Document machine learning processes, models, and results to ensure reproducibility and effective communication with stakeholders. Required Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. • 3+ years of experience in machine learning operations (MLOps), cloud engineering, or similar roles. • Proficiency in Python , with hands-on experience using libraries such as TensorFlow , PyTorch , scikit-learn , Pandas , and NumPy . • Strong experience with Azure Machine Learning services, including Azure ML Studio , Azure Databricks , and Azure Kubernetes Service (AKS) . • Knowledge and experience in building end-to-end ML pipelines, deploying models, and automating the machine learning lifecycle. • Expertise in Docker , Kubernetes , and container orchestration for deploying machine learning models at scale. • Experience in data engineering practices and familiarity with cloud storage solutions like Azure Blob Storage and Azure Data Lake . • Strong understanding of NLP , CV , or GenAI programming, along with the ability to apply these techniques to real-world business problems. • Experience with Git , Azure DevOps , or similar tools to manage version control and CI/CD pipelines. • Solid experience in machine learning algorithms , model training , evaluation , and hyperparameter tuning Show more Show less

SAP Datasphere Lead Remote Work Flexible Schedule 12months+ Skills: Senior SAP Datasphere consultant with 10-12 years of SAP Experience Datasphere Model Design, Report and Dashboard creation Data mapping and data extract for migration (From S4 Hana, Business Objects to Datasphere) Datasphere environment configuration, connection setups, etc. Gap analysis of reporting needs (all functional areas) SAP Public Cloud reporting and analytics capabilities Datasphere self-service reporting set up and Business access/security Datasphere best practices when building models and SAC dashboards SAP Analytics Cloud – dashboards SAP BOBJ and S4 HANA On-Premises beneficial (migration source) Excellent communications and client management skills Show more Show less

Company Overview Team Geek Solutions is a forward-thinking technology services provider dedicated to delivering innovative solutions that drive business success. Situated at the intersection of technology and creativity, we believe in fostering a collaborative environment that encourages growth and development. Our mission is to empower organizations through data-driven strategies and state-of-the-art technology solutions. We value teamwork, integrity, and excellence, ensuring our culture nurtures talent and inspires collective achievement. Job Title: Talend ETL Developer Job Location: Mumbai , Pune Role Responsibilities Design, develop, and maintain ETL processes using Talend. Implement data integration solutions to consolidate data from various systems. Collaborate with business stakeholders to understand data requirements. Develop and optimize SQL queries to extract and manipulate data. Perform data profiling and analysis to ensure data accuracy and quality. Monitor and troubleshoot ETL jobs to ensure smooth data flow. Maintain documentation for ETL processes and data model designs. Work with team members to design and enhance data warehouses. Develop data transformation logic to meet business needs. Ensure compliance with data governance and security policies. Participate in code reviews and contribute to team knowledge sharing. Support data migration initiatives during system upgrades. Utilize Agile methodology for project management and delivery. Manage workflow scheduling and execution of ETL tasks. Provide technical support and training to team members as needed. Qualifications Bachelor's degree in Computer Science, Information Technology, or related field. Proven experience as an ETL Developer, mandatory with Talend. Strong understanding of ETL frameworks and data integration principles. Proficient in writing and troubleshooting SQL queries. Experience in data modeling and database design. Familiarity with data quality assessment methodologies. Ability to analyze complex data sets and provide actionable insights. Strong problem-solving and analytical skills. Excellent communication and interpersonal skills. Ability to work collaboratively in a team-oriented environment. Knowledge of data warehousing concepts and best practices. Experience with Agile development methodologies is a plus. Willingness to learn new technologies and methodologies. Detail-oriented with a commitment to delivering high-quality solutions. Ability to manage multiple tasks and deadlines effectively. Experience with performance tuning and optimization of ETL jobs. Skills: data warehousing,troubleshooting,etl processes,workflow management,etl,data modeling,sql,performance tuning,data profiling and analysis,data governance,data integration,sql proficiency,agile methodology,talend Show more Show less

Company Overview Team Geek Solutions is a forward-thinking technology services provider dedicated to delivering innovative solutions that drive business success. Situated at the intersection of technology and creativity, we believe in fostering a collaborative environment that encourages growth and development. Our mission is to empower organizations through data-driven strategies and state-of-the-art technology solutions. We value teamwork, integrity, and excellence, ensuring our culture nurtures talent and inspires collective achievement. Job Title: Talend ETL Developer Job Location: Mumbai , Pune Role Responsibilities Design, develop, and maintain ETL processes using Talend. Implement data integration solutions to consolidate data from various systems. Collaborate with business stakeholders to understand data requirements. Develop and optimize SQL queries to extract and manipulate data. Perform data profiling and analysis to ensure data accuracy and quality. Monitor and troubleshoot ETL jobs to ensure smooth data flow. Maintain documentation for ETL processes and data model designs. Work with team members to design and enhance data warehouses. Develop data transformation logic to meet business needs. Ensure compliance with data governance and security policies. Participate in code reviews and contribute to team knowledge sharing. Support data migration initiatives during system upgrades. Utilize Agile methodology for project management and delivery. Manage workflow scheduling and execution of ETL tasks. Provide technical support and training to team members as needed. Qualifications Bachelor's degree in Computer Science, Information Technology, or related field. Proven experience as an ETL Developer, mandatory with Talend. Strong understanding of ETL frameworks and data integration principles. Proficient in writing and troubleshooting SQL queries. Experience in data modeling and database design. Familiarity with data quality assessment methodologies. Ability to analyze complex data sets and provide actionable insights. Strong problem-solving and analytical skills. Excellent communication and interpersonal skills. Ability to work collaboratively in a team-oriented environment. Knowledge of data warehousing concepts and best practices. Experience with Agile development methodologies is a plus. Willingness to learn new technologies and methodologies. Detail-oriented with a commitment to delivering high-quality solutions. Ability to manage multiple tasks and deadlines effectively. Experience with performance tuning and optimization of ETL jobs. Skills: data warehousing,troubleshooting,etl processes,workflow management,etl,data modeling,sql,performance tuning,data profiling and analysis,data governance,data integration,sql proficiency,agile methodology,talend Show more Show less

Key Responsibilities Conduct in-depth financial analysis, including variance analysis, trend analysis, and profitability analysis, to identify key drivers and areas for improvement. Support the annual budgeting process and periodic forecasting cycles, working closely with various departments to gather inputs and build comprehensive financial models. Prepare and present financial reports, dashboards, and presentations to senior management, highlighting key financial performance indicators and actionable insights. Assist in the preparation of accurate and timely financial statements and reports in accordance with accounting standards and regulatory requirements. Ensure compliance with internal financial policies and external regulations. Reconcile financial discrepancies by collecting and analyzing account information. Collaborate with cross-functional teams (Sales, Operations, Marketing, Project Management) to provide financial insights and support their decision-making processes. Perform ad-hoc financial analysis for specific projects, initiatives, or investment opportunities. Utilize financial modeling techniques to evaluate business scenarios, potential investments, and operational changes. Identify opportunities for cost reduction, revenue enhancement, and efficiency improvements. Work with large datasets to extract, transform, and analyze financial information. Required Skills Bachelor's degree in Finance, Accounting, Economics, Business Administration, or a related field. MBA or relevant professional certifications (CFA, CA) are a plus. 3-7 years of progressive experience in a Financial Analyst or similar role. Strong proficiency in financial modeling and data analysis. Expert-level proficiency in Microsoft Excel (pivot tables, VLOOKUP, financial functions, advanced formulas). Solid understanding of accounting principles and financial statements. Experience with financial planning and analysis (FP&A) software (SAP, Oracle, Hyperion, Workday Adaptive Planning) is a plus. Excellent analytical, problem-solving, and critical thinking skills. Strong attention to detail and accuracy. Exceptional written and verbal communication skills, with the ability to present complex financial information clearly and concisely. Ability to work independently, manage multiple priorities, and meet tight deadlines. Strong interpersonal skills and the ability to collaborate effectively with diverse teams (ref:iimjobs.com) Show more Show less

Job Purpose To plan, develop, implement and monitor entire FRC plant operations and maintenance work. To support ongoing trials and development projects of FRC to ensure continuous plant availability and delivery within targeted quality parameters with good safety practices. Job Context & Major Challenges &D team is expected to work on innovations that would enable the business to take a quantum leap through patented products and processes, and develop a portfolio of new investment opportunities for the business, that will strengthen the competitive positioning and continual sustenance of the business. R&D team will also actively support operations establishing bench mark quality and resolution of complex technical issues. Major Challenges Of The Job Include Ownership of all the plant activities which comprises of Viscose, Utilities, Spinning and Auxiliary operations. The job involves understanding the complexities of the operations and Maintenance. Owning/managing operations & Maintenance during shifts in all sections of FRC – Pulp Cutting, soda station, Pressing, Ripening, Spinning, after treatment, Dryer and Laboratory. Keeping the plant availability and reduction of downtime. Plant operations and Maintenance demands higher focus due to variety of equipment and operating under corrosive environment. Maintaining the plant within targeted Parameters. Proactively implement safety and housekeeping standards in FRC through following good management processes and standards. To extract output from semi-skilled/unskilled manpower through continuous engagement, training and toolbox talk. Appropriately respond to the emergency situations in the Plant in line with established guidelines and norms.bring together the independent efforts around innovation. The R&D team is thus expected to work on innovations that would enable the business to take a quantum leap through patented products and processes, and develop a portfolio of new investment opportunities for the business, that will strengthen the competitive positioning of the business. Job Challenges In today’s market scenario, there is fierce competition in market. Only quality product at competitive cost will survive .Market is turned from seller’s market to customer’s market. This has created many challenges as Understand internal customer needs, maintain the performance in terms of consistent quality & quantity i.e. Air, Dirt & Jelly free viscose with viscosity and RI as per limit at customer end, receiving customer feed back and translating the observations & experience in to deliverable action plans. Key Result Areas KRA (Accountabilities) (Max 1325 Characters) Supporting Actions (Max 1325 Characters) KRA1 Plant operation and quality initiative Generate reliable and sufficient data for the trial. Allocate resources depending upon Job plan and priorities. Continuously analyze process parameters and troubleshoot Responsible to support for preventive, proactive and breakdown maintenance Manage the Laboratory functions during the Shift hours. Manpower Management Ensure the plant operation, start up, shutdown and emergency response as per the safety norms, Standard work practices. KRA2 Process Safety and Projects execution Ensure overall safety in work confirming the execution is as per SOP, Permit Procedures and in line with JSA. Keep continuous engagement with team through Training and toolbox talk. KRA3 Delivery Keeping the plant availability and reduction of downtime. Execute trial plans. Supervise & troubleshoot during trials. Execute/coordinate activities for maintenance and infrastructure development. Follow up & implementation of various development schemes for statistical process control, quality initiatives, cost effectiveness, plant reliability and Automation. KRA4 Documentation Maintain and own trial log books, keep track of critical changes made during trial. Maintain and preserve work permits as per standard. KRA5 Cost Analyze and implement cost reduction measures. Eliminate and Reduce waste. KRA6 People Development – Nurturing and developing human resource to create a vibrant team Appraise, Inspire and stimulate subordinates to maximize their performance to achieve the departmental goals. Identify the training needs and skill gaps of Technicians. Show more Show less

Position Overview Job Title: Junior Product Owner in KYC Transformation Location: Bangalore, India Role Description You will be joining the Product Owner Team in the Corporate / Investment Bank Transformation Team and help further design the dbCLM platform, the KYC (Know Your Client) platform for the Corporate Banking / Investment Banking divisions. You will contribute to the evolution of dbCLM to ensure KYC compliance in an optimal and efficient manner. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll 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 You have end-to-end accountability for key product functionalities of the KYC platform and engage stakeholders throughout the product delivery cycle to ensure a successful feature delivery and rollout. You undertake business analysis, collaborate with business/operations Subject Matter Experts (SMEs) to understand business problems/needs, and identify solutions through leverage of existing capabilities or new capabilities/features that deliver value is aligned with business objectives and the overall program strategy. You document accurately and comprehensively current / target states, processes, story maps, features maps, and user stories. You collaborate with Chief Product Owners, and leads from Business, Production and Technology to define the delivery roadmap of initiatives and process components. You also guide and support junior Product Owners on Product Vision execution according to best practices and ensuring priority alignment of their respective feature teams. You participate as team member in development scrum ceremonies, building a shared sense of purpose and vision. You define deliveries via 3-Amigo sessions and represent business/KYC operations throughout. You understand the impact of your changes to ensure operational readiness of the KYC organization, identify and prepare for any training and communication needs. Your Skills And Experience You have agile experience and master a set of business analysis toolsets to deconstruct complex business problems and communicate effectively with people across different perspectives and seniority levels across business, operations and technology. You have a basic understanding of Anti Money Laundering frameworks and KYC processes. You can manage multiple challenging stakeholders to extract relevant information, devise requirements (business, functional, non-functional) and ensure buy-in throughout the development lifecycle. You are a team player who operates collaboratively in pursuit of common goals but can self-manage a book of work with timely transparency on progress and issues. You can communicate in English and know how to effectively use MS Office tools, and ideally have also already worked with JIRA and Confluence. 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. Show more Show less

We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser’s local storage. This includes cookies necessary for the website's operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve website's performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies. Press Tab to Move to Skip to Content Link Skip to main content Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook Search by Keyword Search by Location Home Page Home Page Life At YASH Core Values Careers Business Consulting Jobs Digital Jobs ERP IT Infrastructure Jobs Sales & Marketing Jobs Software Development Jobs Solution Architects Jobs Join Our Talent Community Social Media LinkedIn Twitter Instagram Facebook View Profile Employee Login Search by Keyword Search by Location Show More Options Loading... Requisition ID All Skills All Select How Often (in Days) To Receive An Alert: Create Alert Select How Often (in Days) To Receive An Alert: Apply now » Apply Now Start apply with LinkedIn Please wait... Sr. Principal Data Scientist - AI/ML Job Date: Jun 12, 2025 Job Requisition Id: 60912 Location: Hyderabad, TG, IN Pune, IN Pune, MH, IN Indore, MP, IN YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future. We are looking forward to hire AI/ML Professionals in the following areas : Designation: Sr. Principal Data Scientist Experience: 14+ Years Job Type: Full-time We are seeking a highly experienced and visionary Senior Principal Data Scientist to join our dynamic team. This role is pivotal in driving our organization's advanced analytics initiatives and shaping our data-driven strategy. As a thought leader, you will lead complex data science projects, mentor junior scientists, and collaborate with cross-functional teams to deliver impactful solutions that address critical business challenges. You will leverage your deep expertise in machine learning, statistical modeling, and data engineering to extract actionable insights and drive innovation. Responsibilities: Set vision for Gen AI adoption and innovation roadmap. Drive R&D, capability building, and solution frameworks. Influence customer strategy and support large digital transformation initiatives. Mentor senior talent, define best practices, IP creation. Required Skills: Thought leader in ML/AI/Gen AI, deep expertise in LLMs and vector architecture. Track record of designing scalable AI solutions in BFSI, healthcare, retail, etc. Experience in AI governance, ethical AI, and responsible AI practices. Strong publishing, client consulting, and leadership capabilities. At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale. Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture Apply now » Apply Now Start apply with LinkedIn Please wait... Find Similar Jobs: Careers Home View All Jobs Top Jobs Quick Links Blogs Events Webinars Media Contact Contact Us Copyright © 2020. YASH Technologies. All Rights Reserved. Show more Show less

Job Description Build your best future with the Johnson Controls team As a global leader in smart, healthy and sustainable buildings, our mission is to reimagine the performance of buildings to serve people, places and the planet. Join a winning team that enables you to build your best future! Our teams are uniquely positioned to support a multitude of industries across the globe. You will have the opportunity to develop yourself through meaningful work projects and learning opportunities. We strive to provide our employees with an experience, focused on supporting their physical, financial, and emotional wellbeing. We are a Great Place To Work-Certified organization. Become a member of the Johnson Controls family and thrive in an empowering company culture where your voice and ideas will be heard – your next great opportunity is just a few clicks away! What We Offer Competitive salary Paid vacation/holidays/sick time On the job/cross training opportunities Encouraging and collaborative team environment Dedication to safety through our Zero Harm policy What You Will Do BIM professionals having a Fair understanding of MEP Drawings. Ability to create MEP models in Revit from CAD drawings/PDFs. BIM Revit designing for engineering services which includes Mechanical - Firefighting Sprinkler and suppression Systems as per the designed CAD drawings, markup, and able to perform detailed Design. Preparation BIM model with Placing Sprinklers & Mechanical Equipment’s, Valves & accessories provide Pipe routing & in Revit. Able to create Space/Room, extract the schedule using different categories. And optimize the MEP model. Checking the clashes within and between services using Navisworks Manage software and able to resolve them. Coordination with MEP services with the program schedule. Strong Knowledge and Preparation of Revit parametric families, schedules, construction documents, Shop Drawings, and as-built Drawings using Revit MEP. Working in BIM 360 Collaboration and ACC (In-hand experience). Manage medium-sized projects Individually and work with the Team on Big Projects. Meeting and coordinating with Global clients on project basis. How You Will Do It Autodesk Revit MEP tool software for Project and Parametric Families (Any Version) Autodesk BIM 360 – working Experience. Navisworks Manage, AutoCAD Tool (Any Version) What We Look For Minimum 4-5 years REVIT, – BIM, Navisworks, AutoCAD and MS-Excel experience. Revit experience and detailed understanding of its processing as per BEP. Including setting up and maintaining projects, files, families, and work sets & and work on BIM360 Projects Knowledge of clash detection in Navisworks and BIM 360 Knowledge of Revit-plugins or add-ins Bachelor’s degree in Mechanical Engineering. Experience in MEP Construction Field. Excellent interpersonal skills and written & and verbal communication skills. Johnson Controls is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, status as a qualified individual with a disability, or any other characteristic protected by law. For more information, please view EEO is the Law. If you are an individual with a disability and you require an accommodation during the application process, please visit www.johnsoncontrols.com/tomorrowneedsyou Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA The Senior Associate Data Engineer is a developing specialist role, tasked with supporting the transformation of data into a structured format that can be easily analyzed in a query or report. This role is responsible for developing structured data sets that can be reused or compliment other data sets and reports. This role analyzes the data sources and data structure and designs and develops data models to support the analytics requirements of the business which includes management / operational / predictive / data science capabilities. Key responsibilities: Contributes to the creation of data models in a structured data format to enable analysis thereof. Proactively supports the design and development of scalable extract, transform and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources. Participates in the transformation of object and data models into appropriate database schemas within design constraints. Interprets installation standards to meet project needs and produce database components as required. Receives instructions from various stakeholders to create test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations. Proactively supports the running of data migrations across different databases and applications, e.g. MS Dynamics, Oracle, SAP and other ERP systems. Support the definition and implementation of data table structures and data models based on requirements. Contributes to analysis, and development of ETL and migration documentation. Receives instructions from various stakeholders to evaluate potential data requirements. Supports the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives. Contributes to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models. To thrive in this role, you need to have: Knowledge of the definition and management of scoping requirements, definition and prioritization activities. Understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models. Knowledge of Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP. Understanding of data architecture landscape between physical and logical data models. Analytical mindset with good business acumen skills. Problem-solving aptitude with the ability to communicate effectively, both written and verbal. Ability to build effective relationships at all levels within the organization. Seasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.). Academic qualifications and certifications: Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field. Relevant certifications preferred such as SAP, Microsoft Azure etc. Certified Data Engineer, Certified Professional certification preferred. Required experience: Moderate level experience in data engineering, data mining within a fast-paced environment. Familiarity with building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale. Moderate level experience with architecture and design of secure, highly available and scalable systems. Familiarity with automation, scripting and proven examples of successful implementation. Familiarity with scripts using scripting language (Perl, bash, Shell Scripting, Python, etc.). Moderate level experience with big data tools like Hadoop, Cassandra, Storm etc. Moderate level experience in any applicable language, preferably .NET. Familiarity with working with SAP, SQL, MySQL databases and Microsoft SQL. Moderate level experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots. Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Your day at NTT DATA The Senior Associate Data Engineer is a developing specialist role, tasked with supporting the transformation of data into a structured format that can be easily analyzed in a query or report. This role is responsible for developing structured data sets that can be reused or compliment other data sets and reports. This role analyzes the data sources and data structure and designs and develops data models to support the analytics requirements of the business which includes management / operational / predictive / data science capabilities. Key responsibilities: Contributes to the creation of data models in a structured data format to enable analysis thereof. Proactively supports the design and development of scalable extract, transform and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources. Participates in the transformation of object and data models into appropriate database schemas within design constraints. Interprets installation standards to meet project needs and produce database components as required. Receives instructions from various stakeholders to create test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations. Proactively supports the running of data migrations across different databases and applications, e.g. MS Dynamics, Oracle, SAP and other ERP systems. Support the definition and implementation of data table structures and data models based on requirements. Contributes to analysis, and development of ETL and migration documentation. Receives instructions from various stakeholders to evaluate potential data requirements. Supports the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives. Contributes to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models. To thrive in this role, you need to have: Knowledge of the definition and management of scoping requirements, definition and prioritization activities. Understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models. Knowledge of Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP. Understanding of data architecture landscape between physical and logical data models. Analytical mindset with good business acumen skills. Problem-solving aptitude with the ability to communicate effectively, both written and verbal. Ability to build effective relationships at all levels within the organization. Seasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.). Academic qualifications and certifications: Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field. Relevant certifications preferred such as SAP, Microsoft Azure etc. Certified Data Engineer, Certified Professional certification preferred. Required experience: Moderate level experience in data engineering, data mining within a fast-paced environment. Familiarity with building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale. Moderate level experience with architecture and design of secure, highly available and scalable systems. Familiarity with automation, scripting and proven examples of successful implementation. Familiarity with scripts using scripting language (Perl, bash, Shell Scripting, Python, etc.). Moderate level experience with big data tools like Hadoop, Cassandra, Storm etc. Moderate level experience in any applicable language, preferably .NET. Familiarity with working with SAP, SQL, MySQL databases and Microsoft SQL. Moderate level experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots. Workplace type: Hybrid Working About NTT DATA NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Show more Show less

Company Description About Sopra Steria Sopra Steria, a major Tech player in Europe with 50,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2024, the Group generated revenues of €5.8 billion. Job Description The world is how we shape it. Role: SSIS Developer Skillset: SSIS, ETL (Extract Transform Load), TSQL Experience: 6-8 years Location: Noida and Chennai Job Description: At least 3 years of IT experience in Data Migration preferable SAP Data Migration. Extensive experience in ETL process. Thorough understanding of the Data migration activities like Data Cleansing, Data Mapping, Transformation and Data Load activities. Design and develop SQL Server stored procedures, functions, views and triggers to be used during the ETL process Experience working with SSIS packages Proficient with ETL tools such as Microsoft SSIS Knowledge in SAP ABAP, LTMC and LTMON will be an added advantage. Experience in managing data cutover activities and status reporting back to the cutover lead. Practical knowledge of SAP objects and import methods is good to have Worked on at least 2 E2E Data Migration projects. Understanding of SAP Finance, SAP SD, SAP MM, Business partner and Material Master migration from SAP ECC or Open-source system to S/4 HANA is preferable Extensively used Microsoft Excel, Project, Visio, PowerPoint, Word and MS Office products for data Analysis and data migration. Ability to communicate complex technical concepts to senior, non-technical audiences. In-depth understanding of Data Management and Migration strategies and methodologies. Good understanding of Agile and Waterfall methodologies. Qualifications B.E/ B.Tech/ MCA Additional Information At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences. All of our positions are open to people with disabilities. Show more Show less

Role : Data Scientist Experience : 1 to 4 Years Work Mode : WFO / Hybrid /Remote if applicable Immediate Joiners Preferred Required Skills & Qualification : An ideal candidate will have experience, as we are building an AI-powered workforce intelligence platform that helps businesses optimize talent strategies, enhance decision making, and drive operational efficiency. Our software leverages cutting-edge AI, NLP, and data science to extract meaningful insights from vast amounts of structured and unstructured workforce data. As part of our new AI team, you will have the opportunity to work on real-world AI applications, contribute to innovative NLP solutions, and gain hands on experience in building AI-driven products from the ground up. Required Skills & Qualification Strong experience in Python programming 1-3 years of experience in Data Science/NLP (Freshers with strong NLP projects are welcome). Proficiency in Python, PyTorch, Scikit-learn, and NLP libraries (NLTK, SpaCy, Hugging Face). Basic knowledge of cloud platforms (AWS, GCP, or Azure). Experience with SQL for data manipulation and analysis. Assist in designing, training, and optimizing ML/NLP models using PyTorch, NLTK, Scikit- learn, and Transformer models (BERT, GPT, etc.). Familiarity with MLOps tools like Airflow, MLflow, or similar. Experience with Big Data processing (Spark, Pandas, or Dask). Help deploy AI/ML solutions on AWS, GCP, or Azure. Collaborate with engineers to integrate AI models into production systems. Expertise in using SQL and Python to clean, preprocess, and analyze large datasets. Learn & Innovate Stay updated with the latest advancements in NLP, AI, and ML frameworks. Strong analytical and problem-solving skills. Willingness to learn, experiment, and take ownership in a fast-paced startup environment. Nice To Have Requirements For The Candidate Desire to grow within the company Team player and Quicker learner Performance-driven Strong networking and outreach skills Exploring aptitude & killer attitude Ability to communicate and collaborate with the team at ease. Drive to get the results and not let anything get in your way. Critical and analytical thinking skills, with a keen attention to detail. Demonstrate ownership and strive for excellence in everything you do. Demonstrate a high level of curiosity and keep abreast of the latest technologies & tools Ability to pick up new software easily and represent yourself peers and co-ordinate during meetings with Customers. What We Offer We offer a market-leading salary along with a comprehensive benefits package to support your well-being. Enjoy a hybrid or remote work setup that prioritizes work-life balance and personal well being. We invest in your career through continuous learning and internal growth opportunities. Be part of a dynamic, inclusive, and vibrant workplace where your contributions are recognized and rewarded. We believe in straightforward policies, open communication, and a supportive work environment where everyone thrives. (ref:hirist.tech) Show more Show less

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 3+ years' experience in technology roles. Must have a minimum of 1 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com. Show more Show less

About Akira AKIRA is a bootstrapped Data & Analytics Services company driven by technology excellence, consultative practices and focus on building technology agnostic customer solutions helping organizations realize business value through data. We have grown over 3 times in the past 2 years across business, headcount and number of clients we serve once we started focusing on growing up. AKIRA is a growth engine, where we provide great opportunities to all our team members to extract as much learning and satisfaction for the work they deliver. We will double ourselves in the coming 6-9 months and want to be a great place to work. Job Title : AI/ML Engineer (Data Scientist) Location : Bangalore Job Description We are an innovative technology company committed to driving business transformation through AI and Machine Learning solutions. We specialize in solving complex business challenges by leveraging cutting-edge AI/ML technologies, delivering scalable, reliable, and maintainable solutions for our clients. We are looking for a skilled AI/ML Engineer to join our dynamic team and play a crucial role in building production-grade AI/ML pipelines and solutions. Responsibilities As an AI/ML Engineer, you will be responsible for designing, developing, and deploying AI and ML models to address complex business challenges. You will collaborate with cross-functional teams, including Data Engineers and Data Scientists, to build scalable, production-grade AI/ML pipelines. Your work will ensure the deployed models are reliable, maintainable, and optimized for performance in real-world : Design, Develop, and Deploy AI/ML Models : Address complex business challenges through AI and ML solutions, ensuring production-grade deployments Build Scalable AI/ML Pipelines : Work on data preprocessing, feature engineering, model training, validation, deployment, and ongoing monitoring of AI/ML models Collaboration with Cross-functional Teams : Collaborate with Data Engineers, Data Scientists, and other stakeholders to implement end-to-end AI/ML solutions Optimize AI/ML Models in Production : Ensure that deployed models are reliable, scalable, and continuously optimized for high performance in production environments Develop APIs and Microservices : Build APIs or microservices to integrate AI/ML models into business solutions, making them usable across different platforms Implement MLOps Practices : Optimize workflows using CI/CD pipelines, automated retraining of models, version control, and monitoring Apply State-of-the-art AI/ML Techniques : Utilize deep learning, NLP, computer vision, and time-series analysis to develop innovative solutions Ensure Ethical AI Practices : Adhere to data privacy, security, and ethical AI standards throughout the entire lifecycle of AI/ML models Stay Up-to-date with Industry Trends : Continuously explore and implement the latest AI/ML techniques, tools, and best practices Assist in Documentation & Best Practices : Help create and maintain standards, workflows, and documentation for data technology and AI/ML projects Required Skills & Qualifications Strong Expertise in AI/ML Frameworks : Proficiency with TensorFlow, PyTorch, or Scikit-learn for building and deploying models Proficiency in Programming Languages : Strong command of Python or R, including libraries/tools for data science and machine learning Experience with Cloud-based AI/ML Services : Hands-on experience with Microsoft Azure and Databricks MLOps Experience : Expertise in implementing automated pipelines, model versioning, monitoring, and lifecycle management Domain-Specific AI Expertise : Deep knowledge in NLP, computer vision, predictive analytics, or other specialized AI techniques Excellent Problem-Solving Skills : Ability to identify and address technical challenges with innovative and efficient solutions Effective Communication Skills : Strong ability to convey complex technical concepts to both technical and non-technical audiences Attention to Detail : Ability to handle and execute highly specialized projects with a focus on quality Desired Skills & Qualifications Familiarity with Distributed Computing : Knowledge of Apache Spark and scalable training techniques for large datasets Experience with GenAI : Hands-on experience in developing enterprise-level Gen AI applications and models for business use cases Knowledge of Data Privacy & Security Standards : Understanding of ethical AI principles and ensuring compliance with relevant privacy and security standards Interpersonal Skills : Excellent collaboration and relationship-building skills with colleagues, stakeholders, and external partners (ref:hirist.tech) Show more Show less

Senior Data Scientist – Enterprise Analytics Want to be part of the Data & Analytics organization, whose strategic goal is to create a world-class Data & Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters. We are looking for a highly motivated individual with strong organizational and technical skills for the position of Senior Data Scientist. You will play a critical role working on cutting edge of analytics, leveraging predictive models, machine learning and generative AI to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives. About The Role In this opportunity as Senior Data Scientist, you will: Engage with stakeholders, business analysts and project team to understand the data requirements. Work in multiple business domain areas including Customer Service, Finance, Sales and Marketing. Design analytical frameworks to provide insights into a business problem. Explore and visualize multiple data sets to understand data available and prepare data for problem solving. Build machine learning models and/or statistical solutions. Build predictive models, generative AI solutions. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI. Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. About You You're a fit for the role of Senior Data Scientist if your background includes: Experience- 6-8 Years in the field of Machine Learning & AI Must have a minimum of 3 years of experience working in the data science domain Degree preferred in a quantitative field (Computer Science, Statistics, etc.) Both technical and business acumen is required Technical skills Proficient in machine learning, statistical modelling, data science and generative AI techniques Highly proficient in Python and SQL Experience with Tableau and/or PowerBI Has worked with Amazon Web Services and Sagemaker Ability to build data pipelines for data movement using tools such as Alteryx, GLUE Experience Predictive analytics for customer retention, upsell/cross sell products and new customer acquisition, Customer Segmentation, Recommendation engines (customer and AWS Personalize), POC’s in building Generative AI solutions (GPT, Llama etc.,) Hands on with Prompt Engineering Experience in Customer Service, Finance, Sales and Marketing Additional Technical skills include Familiarity with Natural Language Processing including Feature Extraction techniques, Word Embeddings, Topic Modeling, Sentiment Analysis, Classification, Sequence Models and Transfer Learning Knowledgeable of AWS APIs for Machine Learning Has worked with Snowflake extensively. Good presentation skills and the ability to tell stories using data and Powerpoint/Dashboard Visualizations. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Consulting Experience with a premier consulting firm. What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com. Show more Show less

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 10+ years' experience in technology roles. Must have a minimum of 5 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com. Show more Show less

The Data Scientist organization within the Data and Analytics division is responsible for designing and implementing a unified data strategy that enables the efficient, secure, and governed use of data across the organization. We aim to create a trusted and customer-centric data ecosystem, built on a foundation of data quality, security, and openness, and guided by the Thomson Reuters Trust Principles. Our team is dedicated to developing innovative data solutions that drive business value while upholding the highest standards of data management and ethics. About the role: Work with low to minimum supervision to solve business problems using data and analytics. Work in multiple business domain areas including Customer Experience and Service, Operations, Finance, Sales and Marketing. Work with various business stakeholders, to understand and document requirements. Design an analytical framework to provide insights into a business problem. Explore and visualize multiple data sets to understand data available for problem solving. Build end to end data pipelines to handle and process data at scale. Build machine learning models and/or statistical solutions. Build predictive models. Use Natural Language Processing to extract insight from text. Design database models (if a data mart or operational data store is required to aggregate data for modeling). Design visualizations and build dashboards in Tableau and/or PowerBI Extract business insights from the data and models. Present results to stakeholders (and tell stories using data) using power point and/or dashboards. Work collaboratively with other team members. About you: Overall 3+ years' experience in technology roles. Must have a minimum of 1 years of experience working in the data science domain. Has used frameworks/libraries such as Scikit-learn, PyTorch, Keras, NLTK. Highly proficient in Python. Highly proficient in SQL. Experience with Tableau and/or PowerBI. Has worked with Amazon Web Services and Sagemaker. Ability to build data pipelines for data movement using tools such as Alteryx, GLUE, Informatica. Proficient in machine learning, statistical modelling, and data science techniques. Experience with one or more of the following types of business analytics applications: Predictive analytics for customer retention, cross sales and new customer acquisition. Pricing optimization models. Segmentation. Recommendation engines. Experience in one or more of the following business domains Customer Experience and Service. Finance. Operations. Good presentation skills and the ability to tell stories using data and PowerPoint/Dashboard Visualizations. Excellent organizational, analytical and problem-solving skills. Ability to communicate complex results in a simple and concise manner at all levels within the organization. Ability to excel in a fast-paced, startup-like environment. What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com. Show more Show less

Embark on a transformative journey as Senior Analyst - Data Scientist at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences.Advanced modelling team is responsible of developing machine learning models for business including new account Acquisition, Existing customer management marketing programs, and Loan cross-sell, with main focus on direct mail targeting. Additionally, modelling team explores new capabilities by evaluating new tools on AWS or Google cloud, new modelling approaches, and feature engineering on both new or existing data. To be successful in this role as a Senior Analyst - Data Scientist, you should possess the following skillsets: Machine learning modelling experience. Programming using Python. Data pulling and analysis. Communication and presentation. Some Other Highly Valued Skills Include Business knowledge. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in our Noida. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Show more Show less

Seeking applicants for full-time, remote position. Candidate will be highly experienced with AT&T’s portfolio of products/services and applicable processes and procedures required to contract, order, implement and/or provide project management and lifecycle support for those products/services. Major duties may include but not be limited to the following: · Use online tools to extract, analyze and customize data · Manage/track requests through CRM system · Interface with Sales, AT&T, and clients via email and calls to provide pre- and post-sales support efficiently and accurately in various capacities · Assist sales teams with data entry requirements related to custom pricing events · Assist sales teams with generating product-specific quotes · Create, maintain, and update Work-in-Progress tracker for both customer and sales team presentation · Function as liaison between Sales, customers, and AT&T teams to ensure successful projects and customer experience · Set proper expectations and advise customer of possible delays · Proactively monitor critical dates and take required action · Work with SDM to ensure timelines are met and/or pursue escalation procedures ASAP · Help schedule and attend TTU and/or LAN migrations as needed · Provide pertinent technical information to customer post service installation as applicable · Provide post installation verification documents to customer as applicable · Schedule post-project completion call with customer to advise of lifecycle support process · Help customers open trouble tickets and escalate as needed · Assist Sales in billing research and support engagement related to customer disputes · Assist Sales in obtaining customer inventories and billing information · Other duties as assigned Qualifications: Ideal candidate will possess the following: · Excellent written and verbal communication skills · Strong organizational skills · Strong attention to detail · Multi-tasking skills · Ability to provide expected deliverables to sales teams and customers reliably, accurately, and efficiently · Ability to understand and carry out general instructions · Ability to solve problems in standard situations Other Skills and Abilities: · Proficient use of AT&T systems: (e.g., ROME, ASAP, Sales Express, MyTracker, Support Center & RDS) · Proficient use of Microsoft Office Suite Products · Familiar with CRM systems and data entry Show more Show less

About Us Crafting intelligent business solutions to increase productivity, automate workflows, adhere to compliances, and gain insights to make financial decisions. Job Description Job Summary: We are looking for a Technical Project Manager who oversees end-to-end project delivery, ensuring adherence to timelines, budgets, and scope. The person will be leading cross-functional teams, managing resources, mitigating risks, and maintaining strong communication with the clients. With a focus on quality assurance, the Technical Project Manager combines technical expertise with effective leadership to drive successful project outcomes. Roles & Responsibilities Ensure accuracy of team plans and consider dependencies between teams. Coordinate internal resources for project execution. Manage client relationships. Perform risk management to minimize project risks. Ensure timely, quality, and within-scope project delivery. Conduct capacity planning and forecasting based on resource availability and skillset. Alert the team on available resources and assign work for skill improvement. Manage changes to project scope and schedule. Measure project performance using appropriate tools. Utilize tools like JIRA, Confluence, TFS, Github, Basecamp. Attend daily scrum and provide weekly status updates to clients. Generate and review timesheets post-project completion. Review weekly time logs, issue warnings for discrepancies. Provide improvement points to HR for team members' performance enhancement. Prepare sprint lifecycle documents (sprint plan, user story, acceptance criteria, progress report, retrospective analysis). Monthly reporting of team productivity to the CEO. Requirements Key Competencies: Effective communication with colleagues, clients, and stakeholders. Confidence to extract the best from the team and deliver quality for clients. Strong organizational skills with attention to detail, effective multitasking, and time management abilities for prioritizing tasks and meeting deadlines across multiple projects. Knowledge of complete SDLC (software development life cycle). Strong problem-solving skills. Ability to grasp technical concepts quickly and develop the appropriate test approach. Experience in handling large/mid-size enterprise projects in web development/mobile development/designing/testing. Experience in working in an agile environment. Hands-on experience with project communication tools (e.g., Basecamp or Trello) and project management tools like Jira, Azure DevOps. Analytical skills to find solutions to complex problems. Adaptability to learn quickly and adapt to new technologies and tools. Collaboration skills, both as part of a team and in a leadership role. Attention to detail to ensure code quality and avoid bugs. Continuous learning mindset to stay up-to-date with industry trends. Initiative to take proactive steps in finding solutions without waiting for instructions. Creativity for thinking innovatively and proposing creative problem-solving ideas. Educational Qualifications Bachelor's or Master’s Degree in Computer Science, Software Engineering, Master in Business Administration, or a related field. Benefits What We Offer: Opportunity to work directly with the CEO and leadership team. High-impact role in a fast-growing FinTech environment. Hybrid work model/flexible hours (if applicable). Competitive compensation and growth path. The Happiness Of Satva Solutions 5-day work-week Access to the latest technology and state-of-the-art equipment Emphasis on continuous feedback and improvement A flexible working model with a blend of remote and in-office work Employee financial assistance Collaborative and teamwork-oriented environment Superior and spacious workstations Rewards and recognition programs Access to top-notch training and development opportunities Scope for both professional and personal growth. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#0E5E89;border-color:#0E5E89;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> Show more Show less

Embark on a transformative journey as Senior Analyst - Data Scientist at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences.Advanced modelling team is responsible of developing machine learning models for business including new account Acquisition, Existing customer management marketing programs, and Loan cross-sell, with main focus on direct mail targeting. Additionally, modelling team explores new capabilities by evaluating new tools on AWS or Google cloud, new modelling approaches, and feature engineering on both new or existing data. To be successful in this role as a Senior Analyst - Data Scientist, you should possess the following skillsets: Machine learning modelling experience. Programming using Python. Data pulling and analysis. Communication and presentation. Some Other Highly Valued Skills Include Business knowledge. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in our Noida. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Back to nav Share job X(Opens in new tab or window) Facebook(Opens in new tab or window) LinkedIn(Opens in new tab or window) Show more Show less