13 Text Analysis Jobs

You will be joining a life sciences company that specializes in pharmaceutical regulatory solutions and utilizes AI to address intricate data challenges within specialized fields. As a Machine Learning Engineer, your primary responsibility will be to lead NLP-driven projects and contribute to the development of foundational AI models tailored for domain-specific applications. Your key tasks will involve designing and building machine learning systems in the Pharma Life Science domain, implementing relevant ML algorithms, conducting experiments, and keeping abreast of the latest advancements in the field. Your duties will include developing and refining machine learning models that focus on text analysis, data extraction, and NLP tasks. You will be involved in preprocessing and structuring large datasets to ensure high quality and consistency. Additionally, you will design and deploy efficient data pipelines to manage unstructured and semi-structured data sources effectively. You will collaborate with cross-functional teams to integrate machine learning models into production environments, ensuring their reliability and scalability. Furthermore, you will continuously test, evaluate, and optimize model performance to align with project requirements and user needs. To qualify for this role, you should possess 2-4 years of experience in a related field with a strong background in machine learning, particularly focusing on NLP and text-based data processing. Proficiency in ML frameworks such as PyTorch or TensorFlow, along with experience in NLP libraries like Hugging Face Transformers or SpaCy, is essential. You should have a solid understanding of data wrangling, feature engineering, and preparing datasets for model training. Knowledge of NLP models including BERT, GPT family, Transformers, etc., is required. Hands-on experience in deploying and optimizing machine learning models for production use, familiarity with cloud platforms (AWS, GCP, Azure), and version control systems like Git are important for this role. Strong problem-solving skills, a sense of ownership, and the ability to communicate complex concepts clearly are also key attributes that will contribute to your success in this position.,

At EY, you'll have the opportunity to shape a career that is as unique as you are, leveraging our global scale, support, inclusive culture, and cutting-edge technology to empower you to become the best version of yourself. We value your distinct voice and perspective, as they play a crucial role in enhancing EY's overall performance. By joining us, you'll not only create an exceptional experience for yourself but also contribute to building a better working world for all. As a Manager in the IT Consulting team, your primary role will involve working on diverse cloud implementation projects for our global clientele. Your responsibilities will include leading technical teams, collaborating with onsite coordinators, overseeing project deliverables, mentoring project teams, providing regular status updates, engaging with customer representatives, and being open to travel as required. In terms of people management, you will be expected to cultivate a quality-driven culture, oversee performance management for direct reports, promote teamwork, offer training and mentorship to project resources, and actively participate in organization-wide people initiatives. Mandatory skills for this role include 3-7 years of experience, proficiency in AS-ABAP on HANA, understanding of HANA Data Modelling Concepts, familiarity with custom code push down techniques, practical knowledge of ABAP development toolkit (ADT), project experience in CDS and AMDP, expertise in Module Pool Programming, Adobe Form, and Smart Form, strong ABAP programming skills with experience in RICEFW development, in-depth knowledge of User Exits, Customer Exits, BADIs, and new enhancement framework, familiarity with SAP data migration tools, SAP GATEWAY, and good-to-have skills in SAP HANA/ABAP, OData, and backend Fiori. Additional technical skills that would be advantageous include proficiency in HANA analytics for predictive and text analysis, knowledge of Fiori and SAP BO tools, as well as familiarity with HTML, CSS, and JavaScript. Preferred skills for this role encompass an understanding of software development best practices, excellent business communication skills, and strong leadership abilities. At EY, we strive to build a better working world by creating long-term value for our clients, people, and society, and instilling trust in the capital markets. With a global presence in over 150 countries, our diverse teams leverage data and technology to provide assurance, facilitate growth, transformation, and operational excellence for our clients across various services including assurance, consulting, law, strategy, tax, and transactions. EY teams are dedicated to asking the right questions to uncover innovative solutions for the complex challenges of today's world.,

Prudential's purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people's career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed. As a Data Analyst, you will be responsible for turning data into information, information into insight, and insight into business decisions. You will conduct full lifecycle analysis to include requirements, activities, and design. Data analysts will develop analysis and reporting capabilities and will also monitor performance and quality control plans to identify improvements. Key Responsibilities: - Data Transformation: Convert raw data into meaningful information that can guide business strategies. - Lifecycle Analysis: Manage the entire lifecycle of data analysis, from gathering requirements to activity coordination and design implementation. - Develop reports and refine analysis and reporting tools to provide clear insights into business performance. - Continuously monitor and assess performance metrics to ensure optimal operation and identify areas for improvement. - Implement and oversee quality control measures to maintain the integrity and accuracy of data analysis. - Synthesize complex data sets to extract key trends and insights that drive decision-making processes. - Work closely with cross-functional teams to prioritize data and analytics needs and support data-driven decisions. - Proactively seek out and recommend process enhancements to streamline data collection and analysis procedures. - Constantly monitor, refine, and report on the performance of data management systems. - Maintain a corporate repository of all data analysis artifacts and procedures. Compliance: - Ensure that all company policies, procedures, programs, and instructions are carried out. - Be familiar with and understand Pru Life UK Compliance Standards. - Report all compliance matters openly and honestly to the Compliance Officer. - Operate a process within the department to ensure that all relevant compliance matters are identified and reported. Additional Functions: - Perform other functions as assigned. Job Competencies: - Proficiency Level 3 in Data and Analytics: Process of collecting, cleaning, analyzing, and interpreting data to extract meaningful insights. - Proficiency Level 3 in Architecture: Creation and management of models, policies, rules, or standards that govern data collection and usage in organizations. - Proficiency Level 4 in UI/UX/CX/Design/Ergonomics: Expertise in user interface, user experience, customer experience, design, and ergonomics. - Proficiency Level 3 in Development and Coding: Knowledge and proficiency in development and coding practices. - Proficiency Level 2 in Security and Cyber Security: Understanding and application of security measures. - Proficiency Level 3 in Tech Strategy and Service Delivery: Ability to strategize and deliver technological solutions effectively. - Proficiency Level 3 in Enterprise Solutions: Ability to implement solutions at an enterprise level. Job Specification: - Education: Bachelor or Masters degree in Computer Science, Engineering Mathematics, Industrial Engineering, or Management. - Professional Qualifications/Licenses: Relevant certifications in technical, product, or industry domains. - Years of Relevant Work Experience: 7+ years in data analysis, report development, with 3+ years in Life Insurance, Health Insurance, or Banking industry. - Skills critical to job success: Expertise in PowerBI reports development, database management, Agile methodologies, predictive modeling, data modeling tools, data mining, ETL tools, Unix, Linux, Solaris, MS Windows, Hadoop, NoSQL databases, data visualization. - Strong analytical and problem-solving capabilities. - Excellent communication skills. - Knowledge of the latest analytics developments and trends. This job requires a highly skilled individual with a strong background in data analysis, report development, and a deep understanding of the insurance and financial services industry. If you meet the qualifications and possess the required competencies, we encourage you to apply for this challenging and rewarding position at Prudential.,

As a Senior UX Researcher, you will need to leverage your 4+ years of experience working within an in-house research team or relevant work experience to conduct both quantitative and qualitative research methods. Your role will involve utilizing various research methods such as Contextual Enquiry, Dairy Studies, Thematic Analysis, Co-design, Storyboards, Wizard of Oz Testing, Ethnography, Focus Groups, and more to gather valuable insights. Your responsibilities will include writing reports and internal communications based on your research findings. Your excellent communication and analytical skills will be crucial in effectively conveying research results to internal stakeholders. You must have a proven ability to work independently while also collaborating with a cross-functional team to drive impactful outcomes. Experience with agile process and delivery models is essential for this role. Your rigorous approach to documentation and organization will ensure that research findings are well-documented and easily accessible to the team. Proficiency in tools such as Pendo, User Testing, Hotjar, Figjam, User Zoom, Jira, ChatGPT, Perplexity, Helpscout, Google Workspace, Quicksight, Miro, FigJam, Dovetail, and Maze will be beneficial. Candidates with SaaS experience will be given preference, and being a versatile thinker comfortable working with ambiguity will be an added advantage. This role specifically requires expertise in UX Research, and candidates with only UX Design experience will not be considered. If you are passionate about conducting research to uncover user insights and drive product improvements, and if you excel in a fast-paced, collaborative environment, then this Senior UX Researcher role is the perfect opportunity for you.,

As a Senior Consultant in the IT Consulting team at EY, you will have the opportunity to work on various cloud implementation projects for clients worldwide. Your role will involve leading technical streams of projects, communicating with onsite coordinators, planning and monitoring project deliverables, mentoring project teams, and providing regular status updates. You will be responsible for building a quality culture, managing performance for direct reports, fostering teamwork, providing training and mentorship to project resources, and participating in organization-wide initiatives. Mandatory skills for this role include 3-7 years of experience, working knowledge in AS-ABAP on HANA, HANA Data Modelling Concepts, custom code push down techniques, practical knowledge of ABAP development toolkit (ADT), project experience in CDS and AMDP, module pool programming, Adobe Form, and Smart Form. Additionally, you should have expertise in ABAP Programming with experience in RICEFW development, user exits, customer exits, BADIs, new enhancement framework, SAP data migration tools, and SAP GATEWAY. Good to have skills include SAP HANA/ABAP skills, OData, and backend Fiori skills, along with real-time knowledge and experience in implementation and migration projects. A BE/B.Tech/MCA degree with 3-7 years of industry experience is required. Additional technical skills that will be advantageous for this role include HANA analytics for predictive and text analysis, knowledge of Fiori and SAP BO tools, as well as proficiency in HTML, CSS, and JavaScript. Preferred skills for this position include understanding and experience of software development best practices, excellent business communication skills, and strong leadership skills. Join EY to build a unique career with global opportunities, support, an inclusive culture, and advanced technology to help you become the best version of yourself while contributing to creating a better working world for all.,

You have a total of 8+ years of experience, with at least 4 years in AI, ML, and Gen AI technologies. You have successfully led and expanded AI/ML teams and projects. Your expertise includes a deep understanding and practical experience in AI, ML, Deep Learning, and Generative AI concepts. You are proficient in ML frameworks like PyTorch and/or TensorFlow and have worked with ONNX runtime, model optimization, and hyperparameter tuning. You possess solid experience in DevOps, SDLC, CI/CD, and MLOps practices, with a tech stack that includes Docker, Kubernetes, Jenkins, Git, CI/CD, RabbitMQ, Kafka, Spark, Terraform, Ansible, Prometheus, Grafana, and ELK stack. You have deployed AI models at an enterprise scale and are skilled in data preprocessing, feature engineering, and handling large-scale data. Your expertise extends to image and video processing, object detection, image segmentation, and other computer vision tasks. In addition, you have proficiency in text analysis, sentiment analysis, language modeling, and various NLP applications. You also have experience in speech recognition, audio classification, and signal processing techniques. Your knowledge includes RAG, VectorDB, GraphDB, and Knowledge Graphs. You have extensive experience working with major cloud platforms such as AWS, Azure, and GCP for AI/ML deployments, and integrating cloud-based AI services and tools like AWS SageMaker, Azure ML, and Google Cloud AI. As for soft skills, you exhibit strong leadership and team management abilities, excellent verbal and written communication skills, strategic thinking, problem-solving capabilities, adaptability to the evolving AI/ML landscape, collaboration skills, and the capacity to translate market requirements into technological solutions. Moreover, you have a deep understanding of industry dynamics and a demonstrated ability to foster innovation and creative problem-solving within a team.,

As a Senior Consultant in the IT Consulting team at EY, you will have the opportunity to work on various cloud implementation projects for customers worldwide. You will play a crucial role as a team leader, contributing to different technical streams of the cloud implementation project. Your responsibilities will include interfacing with onsite coordinators, planning and monitoring project deliverables, mentoring the project team, providing regular status reports, and interacting with customer representatives as needed. You should be willing to travel to customer locations as required. In terms of people responsibilities, you will be tasked with building a quality culture, managing performance management for direct reportees, fostering teamwork, providing training and mentoring to project resources, and participating in organization-wide people initiatives. The mandatory skills for this role include working knowledge in AS-ABAP on HANA, HANA Data Modelling Concepts, Custom code push down techniques, practical knowledge of ABAP development toolkit, ADT, project experience in CDS and AMDP, Module pool programming, adobe form and smart form, proficiency in ABAP Programming with experience in RICEFW development, knowledge of User Exits, Customer Exits, BADIs, new enhancement framework, SAP data migration tools, and SAP GATEWAY. Good to have skills include SAP HANA/ABAP skills, OData, backend Fiori skills, and real-time knowledge and experience in implementation and migration projects. The ideal candidate will have a BE/B.Tech/MCA degree with 3-5 years of industry experience. Additional technical skills that would be advantageous for this role include HANA analytics, predictive and text analysis, knowledge of Fiori and SAP BO tools, HTML, CSS, and Java Script. Preferred skills for this position include understanding and experience of software development best practices, excellent business communication skills, and strong leadership abilities. By joining EY, you will be contributing to building a better working world, creating long-term value for clients, people, and society, and fostering trust in the capital markets. EY teams in over 150 countries leverage data and technology to provide assurance and help clients grow, transform, and operate across various domains including assurance, consulting, law, strategy, tax, and transactions.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself and a better working world for all. As a Senior Consultant in the IT Consulting team, you will be working on various cloud implementation projects for our customers across the globe. Your responsibilities will include working as a team leader (technical leader) to contribute to various technical streams of cloud implementation projects, interface and communicate with onsite coordinators, plan and monitor project deliverables, mentor the project team, provide regular status reports to the Manager and onsite coordinators, interface with customer representatives as needed, and be willing to travel to customer locations on a need basis. In terms of your people responsibilities, you will be required to build a quality culture, manage performance management for direct reportees as per organizational policies, foster teamwork, lead by example, train and mentor project resources, and participate in organization-wide people initiatives. Mandatory skills for this role include working knowledge in AS-ABAP on HANA, HANA Data Modelling Concepts, custom code push-down techniques, practical knowledge of ABAP development toolkit, ADT, project experience in CDS and AMDP, module pool programming, Adobe Form, and Smart Form. You should also be proficient in ABAP Programming with experience in RICEFW development, have sound knowledge of User Exits, Customer Exits, BADIs, new enhancement framework, SAP data migration tools, SAP GATEWAY, and ideally possess SAP HANA/ABAP skills, OData, and backend Fiori skills. Additionally, real-time knowledge and experience in implementation and migration projects are essential. A BE/B.Tech/MCA degree with 3-5 years of industry experience is required. Additional technical skills that will be advantageous for this role include HANA analytics, predictive and text analysis, knowledge of Fiori and SAP BO tools, as well as proficiency in HTML, CSS, and JavaScript. Preferred skills for this position entail understanding and experience of software development best practices, excellent business communication skills, and excellent leadership skills. EY exists to build a better working world by creating long-term value for clients, people, and society, and by building trust in the capital markets. Through data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate in various fields including assurance, consulting, law, strategy, tax, and transactions, asking better questions to find new answers for the complex issues facing our world today.,

Join us as an Assistant Vice President (AVP) Research where you play a crucial role in making informed investment decisions. Our Research team is dedicated to producing proprietary products, differentiated market analysis, and actionable investment ideas for sophisticated investors worldwide. We strive to integrate research disciplines, asset classes, and geographies to provide a comprehensive view of the financial landscape. As an AVP Research, your primary responsibility will be to leverage alternative data and data science methods in collaboration with finance domain experts to enhance financial research. You will also focus on developing and refining methods and infrastructure to streamline research production, ultimately increasing our efficiency over time. This will involve creating software solutions to automate repetitive analyses for team-wide access. Additionally, you will engage in long-term projects aimed at enhancing our research capabilities, such as developing neural language models and pioneering new bias adjustment methods. Successful candidates for this role must possess strong interpersonal skills as they will work closely with global team members and analysts. Effective communication of technical concepts to both technical and non-technical audiences through written and oral channels is essential for this position. Key Responsibilities: - Collaborate on short research projects for publication on Barclays research platform. - Integrate new data sets and develop software to optimize their usability. - Inform analysis designs, particularly in causal and statistical inference. - Apply machine learning methods strategically to enhance research outcomes. - Propose and implement innovative methods for longer-term projects with high potential impact on financial research. Desirable Skillsets: - Proficiency in data analysis and machine learning. - Familiarity with data pipelining, automation, PySpark, SQL, and statistical applications. - Strong communication skills demonstrated through written publications. - Expertise in causal and statistical inference, including observational causal designs. - Previous experience in large-scale text analysis or geolocation data analysis. - Background in quantitative finance. Location: Nirlon Knowledge Park, Mumbai. This role is classified as a Certified position under the PRA & UK Financial Conduct Authority regulations, potentially requiring mandatory regulatory qualifications or minimum internal benchmarks. Purpose of the Role: To deliver differentiated market insights and actionable ideas through research to Barclays Clients. Key Accountabilities: - Analyze market, sector, corporate, and economic data to formulate investment theses for coverage universe. - Present research views to clients through various channels including face-to-face interactions, events, and written communications. - Engage with internal stakeholders to raise awareness of research insights. - Provide insights and research views to internal clients to navigate financial markets effectively. - Collaborate with compliance and supervisory analysts to ensure compliant delivery of research. Assistant Vice President Expectations: - Advise and influence decision-making, contribute to policy development, and ensure operational effectiveness. - Lead complex tasks, setting objectives, coaching employees, and driving performance outcomes. - Foster a collaborative environment, provide guidance on assignments, and identify new directions for projects. - Consult on complex issues, mitigate risks, and develop policies to enhance control and governance. - Engage in detailed data analysis, communicate complex information effectively, and influence stakeholders to achieve desired outcomes. All colleagues are expected to uphold Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive.,

Join us as an Assistant Vice President (AVP) Research where you will play a crucial role in making the best investment decisions. Our Research vision revolves around differentiation and integration, where we strive to provide proprietary products, unique market analysis, and actionable investment ideas to sophisticated investors across the globe. We integrate research disciplines, asset classes, and geographies to deliver comprehensive insights. As an AVP Research, your primary responsibility will be to utilize alternative data and data science methods in collaboration with finance domain experts to enhance financial research. You will focus on developing methods and infrastructure to enhance research productivity by creating software for repeatable analysis that can be shared within the team. Additionally, you will work on long-term projects aimed at improving our capabilities, such as developing neural language models on text and innovating bias adjustment methods. To excel in this role, you must possess strong interpersonal skills as data scientists work closely with global team members and analysts. Clear communication of technical concepts to both technical and non-technical audiences through written and oral channels is essential for success. Key responsibilities include collaborating on short research projects for publication, onboarding new data sets, informing analysis designs, applying ML methods strategically, and ideating and executing novel methods for longer-term projects. Desirable skillsets include strong data analysis and ML skills, understanding of data pipelining and automation, expertise in statistics for research design, and experience in large-scale text or geolocation data analysis. This role is based in Nirlon Knowledge Park, Mumbai, and is certified under the PRA & UK Financial Conduct Authority regulations. You will be responsible for producing and delivering research with differentiated market insights and actionable ideas to Barclays Clients. Your accountabilities include analyzing market data, presenting research views to clients, engaging with stakeholders, providing insights to internal clients, and ensuring compliance in research production and delivery. As an Assistant Vice President, you are expected to advise and influence decision-making, lead a team, set objectives, coach employees, and demonstrate leadership behaviours. You will collaborate with other functions, guide team members, consult on complex issues, mitigate risks, and contribute to the governance agenda. Additionally, you will engage in complex data analysis, communicate complex information, and influence stakeholders to achieve desired outcomes. All colleagues are expected to uphold the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship, as well as demonstrate the Barclays Mindset of Empower, Challenge, and Drive.,

As a Senior Mobile User Experience Researcher, you will play a crucial role in driving user-centric improvements and championing research in strategic decisions. With 6+ years of experience in in-house research teams or relevant work settings, you will utilize a diverse range of research methods such as contextual enquiry, thematic analysis, ethnography, and usability tests to understand user needs and behaviors comprehensively. Your key responsibilities will include leading initiatives to enhance user experience, collaborating with the UX team to embed an evidence-based perspective into strategic decisions, and ensuring research insights are integrated into design solutions. Additionally, you will oversee UX research processes, implement best practices for collaboration, and facilitate knowledge sharing across touchpoints to shape the UX strategy in alignment with organizational goals. To excel in this role, you should possess excellent communication and analytical skills, experience in quantitative and qualitative research methods, and the ability to work independently while collaborating with cross-functional teams. A rigorous approach to documentation and organization, familiarity with agile processes, and proficiency in tools such as Pendo, User Testing, Hotjar, and Jira are essential. Moreover, staying updated on industry trends and advocating for research and design excellence will be crucial to keep the organization at the forefront of user experience. If you are a versatile thinker comfortable with ambiguity, have experience in SaaS, and demonstrate a passion for UX research excellence, we encourage you to apply for this role. Your role as a Senior Mobile User Experience Researcher will not only contribute to enhancing user satisfaction but also drive positive business outcomes through impactful and insights-driven solutions.,

As a Manufacturing Data Analyst at our high-growth company, you will be responsible for understanding manufacturing data from clients, devising strategies to address pain points, and enhance business value. Your role will involve data exploration, analysis, and automation of data cleaning tasks. You will collaborate closely with the data science and product teams to derive valuable insights from client data. You should hold a Bachelor's or Master's degree in engineering, mathematics, Mechanical/Aerospace Engineering, and possess 4-6 years of experience working with renowned manufacturing/aerospace/automotive/consumer product companies. Proficiency in working with spreadsheets and processing large volumes of data is essential, along with experience in Python (Pandas)/R. In this role, you will be expected to understand and define relationships among entities in manufacturing data, interpret technical statements, and engage in tasks ranging from understanding business objectives to data manipulation and web scraping solutions. Collaboration with stakeholders such as machine learning engineers, data scientists, data engineers, and product managers will be a key aspect of your responsibilities. We are looking for individuals who are entrepreneurial, driven, and eager to contribute to a fast-growing SaaS company. You should have excellent written and verbal communication skills, expertise in natural language processing (NLP) techniques for text and sentiment analysis, and ideally, experience working with startups. Joining our interdisciplinary team, you will have the opportunity to work with leaders from Palantir, McKinsey, GM, and Ford. We value collaboration, diversity of thinking, and setting high standards to deliver exceptional results in a startup environment.,

Key Responsibilities: Partner with business, product, and engineering teams to define problem statements, evaluate feasibility, and design AI/ML-driven solutions that deliver measurable business value. Lead and execute end-to-end AI/ML projects from data exploration and model development to validation, deployment, and monitoring in production. Drive solution architecture using techniques in data engineering, programming, machine learning, NLP, and Generative AI. Champion the scalability, reproducibility, and sustainability of AI solutions by establishing best practices in model development, CI/CD, and performance tracking. Guide junior and associate AI/ML engineers through technical mentoring, code reviews, and solution reviews. Identify and evangelize the adoption of emerging tools, technologies, and methodologies across teams. Translate technical outputs into actionable insights for business stakeholders through storytelling, data visualizations, and stakeholder engagement. We are looking for: A seasoned AI/ML engineer with 5 + years of hands-on experience delivering enterprise-grade AI/ML solutions. Advanced proficiency in Python, SQL, PySpark, and experience working with cloud platforms (Azure preferred) and tools such as Databricks, Synapse, ADF, and Web Apps. Strong expertise in applied text analytics, NLP , and Generative AI , with real-world deployment exposure. Solid understanding of model evaluation, optimization, bias mitigation, and monitoring in production. A problem solver with scientific rigor, strong business acumen, and the ability to bridge the gap between data and decisions. Prior experience in leading cross-functional AI initiatives or collaborating with engineering teams to deploy ML pipelines. Bachelor's or masters degree in computer science, Engineering, Statistics, or a related quantitative field. A PhD is a plus. Prior understanding in business domain of shipping and logistics is an advantage.