28 Sentiment Analysis Jobs - Page 2

Role Description As Analytics Senior Analyst you will be a member of our Data Analytics Center of Excellence (CoE) for Group Audit. You will pioneer and support Group Audit in implementing innovative and effective analytics processes that are critical to the success of our audit function. Based in the Mumbai office, you will work embedded in audit teams around the world, applying the latest analytics technologies while connecting with the central team in Germany to leverage our core analytics solutions. You will be responsible for supporting all Group Audit functions with data analytics services and audit automation solutions. Team / division overview Analytics is responsible for performing general analytics and statistical modelling in a timely manner to address current and future business needs across various areas of the business. Work includes: Defining data requirements, data collection, processing, cleaning, analysis, modelling, visualisation, development of analytical toolkit and research techniques Examining and identifying data patterns and trends to help answer business questions and improve decision making Identifying areas to increase efficiency and automation of data analysis processes Providing business functions with data insights to help them achieve their strategic goals. Where the roles have a specific focus on Data Science, work will predominantly focus on: Creating data mining architectures/models/protocols, statistical reports, and data analysis methodologies to identify trends in large data sets Researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions Representing the bank as a data science practitioner in industry initiatives At higher career levels, they may conduct scientific research projects with the goal of breaking new ground in data analytics Your key responsibilities Evaluate and provide analytics solutions to auditors to identify potential risk, anomalies, detect outliers and identify weaknesses in control activities using analytical tools like SQL and Python. Develop and maintain interactive dashboards using Tableau that effectively convey meaningful insight and track key metrics. Communicate findings and insights to stakeholders including Senior Management that support informed decision-making process and effectively drive business strategy. Collaborate closely with auditors, data owner and subject matter experts to understand business requirement and translate them into analytical solution in an agile and iterative manner. Proactively identify automation opportunities and develop solutions that simplify audit processes and make Group Audit more efficient. Core area for automation will be the Key Control automated testing for Technology, Data and Innovation. Drive innovation across Group Audit, leveraging the experience gained and data collected from successful data analytics projects. Focus here will be especially for IT related audit data and testing. Promote the adoption and integration of data science into the Group Audit organization and inspire Group Audit colleagues by sharing background on successful adoption. Apply highest quality standards as your solutions will become an integral part of audit execution processes. Support upskilling of auditors to gain competencies in data analytics method to transform Group audit into data-driven function. Your skills and experience Ideally first-hand experience in Audit function specifically in risk management and compliance focusing on data analytics and reporting. Masters or bachelors degree (or equivalent PhD appreciated) from an accredited college or university (or equivalent) in a quantitative field (Data Science, Mathematics, Statistics, Physics, Engineering, Computer Science, Economics, etc.) or equivalent work experience. Possess at least 8 years of relevant experience IT auditor experience highly appreciated. Proficiency in SQL and Python for data analysis. Proficiency in reporting and visualization using Tableau. Hands-on experience in ETL and data warehouse, Hadoop, Hive/Impala. Familiarity with GCP services and tools, OpenShift, CDSW. Familiarity with Sentiment Analysis and Natural Language Processing (NLP). Excellent verbal and written communication skills with the ability to convey complex information in clear and concise manner to Senior Management, Audit committees and other stakeholder. Strong problem-solving and analytical skill to interpret complex data and derive actionable insights. A creative technologist passionate about data and information with an intrinsic motivation and curious to learn new technologies and frameworks to adopt data analytics for new ways of auditing.

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your role Developing and implementing advanced analytical models to derive actionable insights from large datasets. Utilizing machine learning techniques, predictive modeling, and statistical analysis to solve complex workforce-related challenges. Utilizing deep learning techniques and frameworks (e.g., TensorFlow, PyTorch) for advanced predictive analytics. Publishing articles, presenting at conferences, and participating in relevant forums (Thought Leadership). Performing natural language processing (NLP) and sentiment analysis for extracting insights from unstructured data sources. Your Profile Minimum of 5 years of experience in data science, analytics, or a related role, with at least 2 years in a leadership capacity. Strong proficiency in data manipulation, analysis, and visualization tools such as Python, R, SQL, and Tableau. Excellent communication skills with the ability to translate complex analytical findings into business insights for non-technical stakeholders. Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) and distributed computing for handling large-scale datasets. What you will love about working here We recognize the significance of flexible work arrangements to provide support . Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI. About Capgemini Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Project Role :AI Platform Engineer Project Role Description :Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Must have skills :Natural Language Processing (NLP) Good to have skills :NA Minimum 10+ year(s) of experience is required Educational Qualification :15years fulltime of Education Key Reponsibilities :1 Able to engage with customers for solving business problems leveraging AI,NLP 2 Identifying applicability of ML,NLP to use cases with ability to project both the business,Technology benefits 3 Identify ways of embedding,integrating AI,ML services into the enterprise architecture seamlessly 4 Keep abreast of new technology innovations in the field of NLP, ML,bring it 5 Good understanding of machine learning algorithms such as CRFs , SVM 6 Expertise with Python Technical Experience : 1 Working experience in any of the NLP app areas Sematic Web and Ontologies Machine Translation Sentiment Analysis Document Classification Question Answer Matching Text Summarization Have worked with RNN, LSTM etc 2 Work exp in creating NLP pipelines for processing large amount of document corpus Professional Attributes :1 Be a self starter and a fast learner 2 Possess strong problem solving skills with the ability to methodically analyze and resolve tech challenges 3 Possess strong written, verbal,comm,analyitical,tech,inter personal and presentation skills 4 Excellent exp in interaction and handling of clients1 Working knowledge of relational and NO SQL database systems