1793 Data Mining Jobs - Page 11

The Global Solution Engineer - Advanced Chemical Engineer - Operations role offers you the opportunity to be a part of the world-class 24*7 Global Solution Control and Command Center (GSCCC) in Gurgaon, India. You will play a crucial role in transforming the UOP LST Connected Solutions by leveraging your Technical Analytical Data Science, Machine learning, and business knowledge skills to extract technical insights from live operating data of customers. Your work in developing technical insights will define the UOP Customer Experience and mark a significant milestone in your career. As a Global Solution Engineer, you will collaborate with a network of technical professionals to deliver exceptional technical insights that drive Customer Value. Your responsibilities will include reviewing operations with customers, identifying areas for improvement and optimization in UOP technologies processes, and providing technical solutions promptly. You will proactively communicate insights, troubleshoot solutions, and apply data mining techniques to derive technical insights from unstructured data. Moreover, you will be involved in performing descriptive and inferential statistics, analyzing historical data, and designing and developing pipelines to support products, systems, and solutions. Innovation will be a key aspect of your role as you work on next-generation BIG DATA monitoring tools and operation dashboards using Analytics, Artificial Intelligence, and Machine Learning. Aligning with the Intention of the LST Business and ensuring collective commitment to the GSC's Key results will be essential. This position requires you to have experience in designing/operating UOP Technology units, effective communication skills, and a passion for visualizing hidden relationships in technical data. A BS degree in Chemical Engineering is a basic qualification for this role. Additionally, being flexible to work in a 24*7 shift, having strong analytical skills, and a continuous learning mindset are crucial attributes for success in this role. Join us in this exciting opportunity to contribute to the success of the GSCCC Digital Insight operations and work towards making GSC a Center of Excellence.,

Job Requirements Key Responsibilities: Execute floorplanning, power planning, placement, CTS, routing, DRC/LVS, and timing closure for blocks/subsystems. Work on multi-voltage designs using UPF, level shifters, isolation cells, and retention strategies. Perform timing analysis and closure using PrimeTime and support IR/EM/Noise closure under guidance. Collaborate with DFT/RTL/STA teams to resolve integration and physical challenges. Run power optimization techniques at synthesis and post-route stage. Support subsystem-level integration and participate in debug and convergence discussions. Write scripts (Python, Tcl) for flow automation, data mining, and report generation. Required Skills: Hands-on experience with full RTL-to-GDS flow using Fusion Compiler, Innovus. Working knowledge of low power flows, UPF, VCLP, power intent checks. Familiarity with timing closure concepts, signal integrity, and power optimization. Good scripting skills in Python/Tcl/Perl for design automation. Enthusiastic team player with strong analytical and debugging skills. Work Experience Key Responsibilities: Execute floorplanning, power planning, placement, CTS, routing, DRC/LVS, and timing closure for blocks/subsystems. Work on multi-voltage designs using UPF, level shifters, isolation cells, and retention strategies. Perform timing analysis and closure using PrimeTime and support IR/EM/Noise closure under guidance. Collaborate with DFT/RTL/STA teams to resolve integration and physical challenges. Run power optimization techniques at synthesis and post-route stage. Support subsystem-level integration and participate in debug and convergence discussions. Write scripts (Python, Tcl) for flow automation, data mining, and report generation. Required Skills: Hands-on experience with full RTL-to-GDS flow using Fusion Compiler, Innovus. Working knowledge of low power flows, UPF, VCLP, power intent checks. Familiarity with timing closure concepts, signal integrity, and power optimization. Good scripting skills in Python/Tcl/Perl for design automation. Enthusiastic team player with strong analytical and debugging skills.

Career Category Safety Job Description Join Amgen s Mission of Serving Patients At Amgen, if you feel like you re part of something bigger, it s because you are. Our shared mission to serve patients living with serious illnesses drives all that we do. Since 1980, we ve helped pioneer the world of biotech in our fight against the world s toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lie within them, you ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Group Purpose Integrated Signal Management group is responsible for the direction and strategy for safety signal detection and management, safety governance, and quality complaints trending and analytics. It drives policies, research, definition and implementation of innovation and best practices for safety data mining, signal detection planning, management, tracking, product complaints trending and analytics; risk management practices, benefit/risk assessment and safety communications while ensuring quality processes with proven metrics. Job Summary The Innovation Specialist will serve as a key strategic partner within the Signal Management and Post-Market Surveillance & Trending organization, focused on identifying, evaluating, and implementing emerging technologies and AI/ML-enabled analytical tools in collaboration with the ISM Data Science team. This role will bridge scientific, technical, and business functions to co-develop innovative surveillance capabilities that monitor the safety and quality of Amgen products. Key Activities Technology Scouting & Evaluation - Monitor and evaluate industry trends, emerging technologies, academic research, and vendor solutions related to AI/ML for post-market safety and product complaints surveillance. Maintain a landscape of external vendors offering signal detection, NLP, and data analytics solutions relevant to product surveillance. Collaboration & Innovation Development - Partner with the ISM Data Science team to assess feasibility, develop prototypes, and deploy AI/ML models for signal detection and augmentation of signal assessment Engage with stakeholders (e.g., TA Safety) to identify unmet needs and prioritize use cases. Facilitate workshops or ideation sessions to shape innovation roadmaps and pilot initiatives. Promote adoption of industry best practices and ensure compliance with regulatory guidance on AI/ML and surveillance in the context of combination products. Perform regulatory impact and risk analysis of proposed solutions Develop internal guidelines and documentation for use of advanced analytics in surveillance activities. Project Execution - Lead or support proof-of-concept and pilot initiatives for new surveillance technologies. Translate business needs into functional requirements for solution development. Track project progress, manage risks, and report findings to senior leadership. Knowledge and Skills Required Knowledge and Skills: Experience in post-market surveillance, pharmacovigilance, medical device vigilance, or related domain Knowledge of combination products and medical devices, including device safety monitoring regulations and standards Knowledge of software development concepts Experience with market scanning, vendor/product evaluation Knowledge of regulatory framework and guidance of principles for AI in the medicinal product lifecycle Preferred Knowledge and Skills: Demonstrated experience working with or evaluating AI/ML tools, safety analytics, natural language processing (NLP), or data mining. Strong project management, cross-functional collaboration, and communication skills Education & Experience 8-13 years of industry experience Experience with market scanning, vendor/product evaluation Experience working with AI/ML and/or automation tools Strong project management, cross-functional collaboration, and communication skills What you can expect from us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Let s do this. Let s change the world. In this vital role you will be responsible for developing and deploying advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets. This role involves creating analytics solutions to address customer needs and opportunities. Roles & Responsibilities: Ability to work on upgrades and manage the execution of Proprietary AI engine built to optimize Copay and other GTN initiatives Ensure models are trained with the latest data and meet the SLA expectations Act as a subject matter expert in solving development and commercial questions Work with a global cross functional team on the AI tool s road map Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Model/analytics experiment and development pipeline leveraging MLOps. Collaborate with technical teams to translate the business needs into technical specifications, particularly focusing on AI-driven automation and insights. Develop and integrate custom applications, intelligent dashboards, and automated workflows that incorporate AI capabilities to enhance decision-making and efficiency. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master s degree and 1 to 3 years of computer science, statistics or STEM majors with a minimum of 1 year of Information Systems experience OR Bachelor s degree and 3 to 5 years of computer science, statistics or STEM majors with a minimum of 2 years of Information Systems experience OR Diploma and 7 to 9 years of computer science, statistics or STEM majors with a minimum of 2 years of Information Systems experience Experience with one or more analytic software tools or languages like R and Python Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription Strong foundation in machine learning algorithms and techniques Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification Preferred Qualifications: Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD) Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills Experience with data engineering and pipeline development Knowledge of NLP techniques for text analysis and sentiment analysis Experience in analyzing time-series data for forecasting and trend analysis Experience with AWS, Azure, or Google Cloud Experience with Databricks platform for data analytics and MLOps Professional Certifications : Any AWS Developer certification (preferred) Any Python and ML certification (preferred) Soft Skills: Initiative to explore alternate technology and approaches to solving problems. Skilled in breaking down problems, documenting problem statements, and estimating efforts. Excellent analytical and troubleshooting skills. Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

As a Business Intelligence Engineer, you will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable. This role involves working closely with product managers, designers, and other engineers to create high-quality, scalable solutions and responding to requests for rapid releases of analytical outcomes. Design, develop, and maintain interactive dashboards, reports, and data visualizations using BI tools (e.g., Power BI, Tableau, Cognos, others). Analyse datasets to identify trends, patterns, and insights that inform business strategy and decision-making. Partner with leaders and stakeholders across Finance, Sales, Customer Success, Marketing, Product, and other departments to understand their data and reporting requirements. Stay abreast of the latest trends and technologies in business intelligence and data analytics, inclusive of AI use in BI. Elicit and document clear and comprehensive business requirements for BI solutions, translating business needs into technical specifications and solutions. Collaborate with Data Engineers to ensure efficient up-system transformations and create data models/views that will hydrate accurate and reliable BI reporting. Contribute to data quality and governance efforts to ensure the accuracy and consistency of BI data. What we expect of you Basic Qualifications: Master s degree and 1 to 3 years of Computer Science, IT or related field experience OR Bachelor s degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Functional Skills: 1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications: Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets AWS Developer certification (preferred) Soft Skills: Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way.

Data scientists at Thoughtworks are responsible for leading and executing data science projects. They employ their profound expertise in statistics, modeling, machine learning algorithms and data mining methodologies. They integrate this expertise with a comprehensive understanding of related domains to render business value and illuminate data-driven insights, facilitating clear and effective decision-making processes. Their responsibilities encompass devising strategies, executing plans, operationalizing solutions and articulating the tangible business outcomes achieved. Collaborating with cross-functional teams is pivotal, as they adeptly convey their discoveries to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. Job responsibilities You will lead and manage data science projects from inception to completion, including goal-setting, scope definition and ensuring on-time delivery with cross team collaboration You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues You will design, develop and implement data science strategies that drive measurable business results You will design experiments for the team to rapidly test ideas and assumptions, and identify future courses of action You will use quality metrics to select machine learning models that will be deployed in the production environment You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind You will contribute to the growth of the data science community along with promoting a culture of data literacy within the organization You will address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility) You will work with CD4ML practices and data versioning tools Job qualifications Technical Skills You have experience in leading the analysis and modeling of different datasets and overseeing an inception to deploying and productionizing the models You have experience with statistical modeling, hypothesis testing, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects You understand the specialized areas of AI and possess a speciality with at least one of them (i.e.: NLP/computer vision/Generative AI, etc)tc) You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations You ensure compliance with data privacy regulations and ethical standards when handling sensitive information Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives You dont shy away from risks or conflicts, instead you take them on and skillfully manage them You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work You enjoy influencing others and always advocate for technical excellence while being open to change when needed You are a proven leader with a track record of encouraging teammates in their professional development and relationships Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business

upstox is looking for Data Science Intern to join our dynamic team and embark on a rewarding career journey Assist in data science projects and activities Conduct data analysis and visualization Develop and implement data science models and algorithms Monitor and report on data science performance metrics Collaborate with data science teams to optimize operations Gain practical experience in data science

Responsibilities Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements and skills Proven experience as a Data Scientist Experience in data mining Understanding of machine-learning and operations research Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. PowerBI) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills

Job Description: Job Title: Group Audit - Analytics Senior Analyst Corporate Title: Assistant Vice President Location: Mumbai, India 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 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 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. Master s or bachelor s 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. 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 https: / / www.db.com / company / company.htm

We are looking for a skilled and experienced Data Scientist to analyze large amounts of raw information to find patterns and insights Your primary responsibility will be to use data to develop solutions that will help drive business decisions and strategies ",jobkeywords:"Data Science, Data Analytics, Machine Learning, Spark, TensorFlow, PyTorch, scikit-learn", jobresponsibilities:"Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms using frameworks such as TensorFlow, PyTorch, and scikit-learn Utilize Apache Spark for large-scale data processing and analytics Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams ",jobProven experience as a Data Scientist or Data Analyst Experience in data mining and large-scale data processing Understanding of machine-learning and operations research Proficiency in programming languages such as Python and R, with experience in ML frameworks like TensorFlow, PyTorch, and scikit-learn Strong experience with Apache Spark Knowledge of SQL; familiarity with Scala or Java is an asset Experience using business intelligence tools (e g , Tableau) and data frameworks (e g , Spark) Analytical mind and business acumen Strong math skills (e g , statistics, algebra) Excellent communication skills ",

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . s Proficient in programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage. Proficient in Statistical modelling and Machine techniques such as time series forecasting, Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, etc. Good exposure to deep learning and associated frameworks (PyTorch, TensorFlow, and Keras). Ability to perform preprocessing of structured and unstructured data Processing, cleansing, and validating the integrity of data to be used for analysis. Strong working experience with cloud platforms build, train, and deploy ML Models on Azure/AWS/GCP. Good working knowledge in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.). Handon experience in the MLOps (Dockerization, REST APIs and the CI/CD/CT processes). Adaptation of foundation models/LLMs to address specific business challenges. Utilizing version control for maintaining codebase integrity and collaboration, fostering a collaborative and errorfree development environment. Design, deploy and manage promptbased models on LLMs for various NLP tasks. Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency. Familiarity with LLM orchestration and agentic AI libraries. Good understanding of business and ability to translate domain problems to data science problem. Ability to communicate effectively with both technical and nontechnical stakeholders. Mandatory skill sets Python, GenAI ,Machine learning, data science Preferred skill sets Data analysis, SQL, MLOPS Years of experience required 5+ Education qualification BE/B.Tech/MBA/MCA Education Degrees/Field of Study required Master of Business Administration, Bachelor of Technology, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Large Language Model (LLM) FineTuning, Python for Data Analysis Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} Travel Requirements Available for Work Visa Sponsorship

Role: Lead Data Scientist Location: Bengaluru What you ll do We re MiQ, a global programmatic media partner for marketers and agencies. Our people are at the heart of everything we do, so you will be too. No matter the role or the location, we re all united in the vision to lead the programmatic industry and make it better. As a Lead Data Scientist in our data science department, you ll have the chance to: Drive building of end-to-end AI/ML based Ad-Tech solutions with a high performing team Own projects and processes and make sure you deliver with high quality Collaborate with wider capabilities and functions for a collective success Drive innovation in the Data Science team by continuously upskill, research, apply, and then inculcate innovative practices within the team Who are your stakeholders The Team Lead s internal customers / stakeholders include: Account Managers / Traders / Sales / Analysts: They drive building solutions that are used primarily by these internal customers through MiQ proprietary platforms like Lab and Hub. The Team Lead usually does not directly collaborate with these customers, and the market requirements and solution feedback is through Product Management team Product Management: The Team Lead drives development of solutions in his team, prioritised as part of the Product roadmap. Engineering Teams: Work collaboratively with the engineering teams to Program Management: They work with program managers to make sure the right project delivery processes are set and followed What you ll bring 7+ years of experience in solving data science problems using machine learning, data mining algorithms and big data tools. Strong experience with advanced SQL and good experience in big data ecosystem - Spark, Hive / Pig / MapReduce Experience of delivering at least one product with involvement in business problem identification, proposing solutions and evaluating them, identifying required data sources, building data pipelines, visualising the outputs and taking actions based on the data outputs. Strong Experience with at-least one programming language - e.g. Java, Python, R (Exposure to multiple is a plus) Storing Experience in delivering data science projects leveraging cloud infrastructure. Experience with Agile framework. Experience of leading a data science team is a plus. Highly passionate about making an impact on business using data science. Believes in continuous learning and sharing knowledge with peers. We ve highlighted some key skills, experience and requirements for this role. But please don t worry if you don t meet every single one. Our talent team strives to find the best people. They might see something in your background that s a fit for this role or another opportunity at MiQ. If you have a passion for the role, please still apply. What impact will you create You would drive the development of end-to-end data-driven / AI / ML / Statistics based Ad-Tech solutions that positions MiQ as the leading programmatic partner for advertisers across the lifecycle of a marketing campaign, which consequently contributes to MiQ s Revenue and Gross Profit. You will own your team s quarterly and yearly deliverables, making sure the roadmap solutions produced are of high quality and driving business impact. They are always looking for opportunities to help the team deliver solutions that would differentiate MiQ from competitors by researching & brainstorming on cutting edge AI techniques and technologies. You would drive team focus on ML/AI solutions that scale - from tech as well as functional point of view - with application of software development best practices and ML Ops so as to transition solutions smoothly to production and be hosted on MiQ s proprietary platforms. You would actively contribute to building the MiQ Brand of Data Science by bringing innovation and research to focus internally and externally, through submitting white papers, representing MiQ and presenting at conferences, participating in hackathons etc. What s in it for you Our Center of Excellence is the very heart of MiQ, and it s where the magic happens. It means everything you do and everything you create will have a huge impact on our entire global business. MiQ is incredibly proud to foster a welcoming culture. We do everything possible to make sure everyone feels valued for what they bring. With global teams committed to diversity, equity, and inclusion, we re always moving towards becoming an even better place to work. Values Our values are so much more than statements . They unite MiQers in every corner of the world. They shape the way we work and the decisions we make. And they inspire us to stay true to ourselves and to aim for better. Our values are there to be embraced by everyone so that we naturally live and breathe them. Just like inclusivity, our values flow through everything we do - no matter how big or small. We do what we love - Passion We figure it out - Determination We anticipate the unexpected - Agility We always unite - Unite We dare to be unconventional - Courage Benefits Every region and office has specific perks and benefits, but every person joining MiQ can expect: A hybrid work environment New hire orientation with job-specific onboarding and training Internal and global mobility opportunities Competitive healthcare benefits Bonus and performance incentives Generous annual PTO paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion initiatives. Employee resource groups are designed to connect people across all MiQ regions, drive action, and support our communities. Apply today! Equal Opportunity Employer

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Responsibilities B.Tech/M.Tech from a premier institute with hands on design / development experience in building and operating highly available services, ensuring stability, security and scalability 2+ years of software development experience preferably in product companies Proficiency in the latest technologies like Web Component, React/Vue/Bootstrap, Redux, NodeJS, Type Script, Dynamic web applications, Redis, Memcached, Docker, Kafka, MySQL. Deep understanding of MVC framework and concepts like HTML, DOM, CSS, REST, AJAX, responsive design, TestDriven Development. Experience with AWS with knowledge of AWS Services like Autoscaling, ELB, ElastiCache, SQS, SNS, RDS, S3, Serverless Architecture, Lambda, Gateway, and Amazon DynamoDB, etc... or similar technology stack Experience with Operations (AWS, Terraform, scalability, high availability & security) is a big plus Able to define APIs and integrate them into web applications using XML, JSON, SOAP/REST APIs. Knowledge of software fundamentals including design principles & analysis of algorithms, data structure design, and implementation, documentation, and unit testing and the acumen to apply them Ability to work proactively and independently with minimal supervision Mandatory skill sets Java React Node JS HTML/ CSS XML, JSON, SOAP/REST APIs. AWS Preferred skill sets Git CI/CD Docker Kubernetes Unit Testing Years of experience required 4 8 Years Education qualification BE/B.Tech/MBA/MCA Education Degrees/Field of Study required Master of Business Administration, Bachelor of Technology, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Full Stack Development Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} No

Not Applicable Specialism Deals Management Level Associate & Summary At PwC, our people in deals focus on providing strategic advice and support to clients in areas such as mergers and acquisitions, divestitures, and restructuring. They help clients navigate complex transactions and maximise value in their business deals. In capital markets accounting advisory services at PwC, you will focus on providing strategic guidance on a broad range of technical accounting, financial reporting, transaction structures and capital markets topics. You will advise clients on complex accounting advisory and financial reporting issues around deals (both public and private) and other transformational business events that may impact an organisation s value. Why PWC & Summary At PwC, our people in deals focus on providing strategic advice and support to clients in areas such as mergers and acquisitions, divestitures, and restructuring. They help clients navigate complex transactions and maximise value in their business deals. In capital markets accounting advisory services (IR team) at PwC, you will focus on providing strategic guidance on a broad range of technical accounting, financial reporting, transaction structures and capital markets topics. You will advise clients on complex accounting advisory and financial reporting issues around deals (both public and private) and other transformational business events that may impact an organisation s value. s Analyse financial statements and ratios Craft investor presentations Write press releases and other financial material like MD&A Data mining from multiple sources (research reports, databases, exchange websites, company websites etc.) Preparation of shareholding and stock movement reports Track, analyse and summarise research notes on the client and the peers Facilitating connects between the client and the targeted investors/sellside analysts Provide insights to the management regarding investor/analyst feedback, perception and competitive intelligence Mandatory skill sets Investor Relation Knowledge Preferred skill sets Equity Research / Investment Banking Years of experience required 13 years Education qualification Post Graduation Education Degrees/Field of Study required Master Degree Degrees/Field of Study preferred Required Skills Investor Relationship Management Accepting Feedback, Accepting Feedback, Accounting Advisory, Accounting Modeling, Accounting Policies, Active Listening, Alteryx (Automation Platform), Benchmarking, Capital Market Engagement, Capital Markets Transactions, Capital Raising, Carve Out Financial Statements, Communication, Corporate Governance, Deal Structures, Debt Raising, Emotional Regulation, Empathy, Equity Compensation, Financial Accounting, Financial Modeling, Financial Reporting, Financial Structuring, GAAP Financial Reporting, Generally Accepted Accounting Principles (GAAP) {+ 24 more} No

Data scientists at Thoughtworks apply a deep knowledge of statistics, modeling, machine learning algorithms and data mining techniques. This is coupled with awareness of adjacent areas, to make business value and data insights visible, enabling clear and effective decision making. They are responsible for the strategy, implementation, productionization and articulation of business impact. They collaborate with cross-functional teams and communicate findings to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. Job responsibilities You will work collaboratively with teams/products, crafting data science and machine learning solutions that generate a big impact on customers You will conduct experiments and develop hypotheses to solve business problems using advanced statistics techniques You will develop and implement data science strategies that drive measurable business results You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind You will interact with clients from diverse domains, addressing their challenging problems You will contribute to the growth and knowledge sharing within the data science community, with a focus on latest tech trends in the data science and machine learning space You will address ethical concerns in data science, including privacy, bias and fairness, while adhering to ethical guidelines Job qualifications Technical Skills You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects You understand the specialized areas of AI and possess experience with at least one of them (i.e.: NLP/computer vision/Generative AI, etc) You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations You are aware of data privacy regulations and ethical standards when handling sensitive information Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives You dont shy away from risks or conflicts, instead you take them on and skillfully manage them You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work You enjoy influencing others and always advocate for technical excellence while being open to change when needed

This position provides strategic, analytical, and technical support for data and business intelligence activities- This position leverages data to gain key insight into business opportunities, and effectively presents these insights to business stakeholders- This position participates in the creation, distribution, and delivery of analytics reports, tables, graphs, and communication materials that effectively summarize findings and support recommendations- RESPONSIBILITIES Designs, develops, and maintains reports and analytical tools and performs ongoing data quality monitoring and refinement- Identifies and analyzes errors and inconsistencies in the data and provides timely resolutions- Translates data results into written reports, tables, graphs, and charts to convey information to management and clients- Creates ad hoc reports and views on a frequent basis to assist management in understanding, researching, and analyzing issues- Uses data mining to extract information from data sets and identify correlations and patterns- Organizes and transforms information into comprehensible structures- Uses data to predict trends in the customer base and consumer populations and performs statistical analysis of data- Identifies and recommends new ways to support budgets by streamlining business processes- QUALIFICATIONS Requirements: Strong analytical skills and attention to detail- Proven ability to quickly learn new applications, processes, and procedures- Able and willing to collaborate in a team environment and exercise independent judgement- Excellent verbal and written communication skills- Ability to form good partner relationships across functions- Intermediate knowledge of SQL and tools that leverage SQL language Demonstrated experience in writing software requirements and test specifications, as well as using data to drive business decisions- Bachelor s degree, international equivalent, or at least 3 years of relevant UPS experience- Preferences: Bachelors Degree (or internationally comparable degree) - Business/Economics, Computer Science, Engineering, Marketing, MIS, Mathematics, or related discipline- Experience with data warehousing, data science software, or similar analytics/business intelligence systems

Amazon Business Customer Support (ABCS) is looking for a Business Intelligence Engineer to help build next generation metrics and drive business analytics that have measurable impactThe successful candidate will have a strong understanding of different businesses and customer profiles the underlying analytics, and the ability to translate business requirements into analysis, collect and analyze data, and make recommendations back to the businessBIEs also continuously learn new systems, tools, and industry best practices to help design new studies and build new tools that help our team automate, and accelerate analytics- As a Business Intelligence Engineer, you will develop strategic reports, design UIs and drive projects to support ABCS decision makingThis role is inherently cross-functional you will work closely with finance teams, engineering, and leadership across Amazon Business Customer Service- A successful candidate will be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail)You should be skilled in database design, be comfortable dealing with large and complex data sets, and have experience building self-service dashboards and using visualization tools especially TableauYou should have strong analytical and communication skills- You will work with a team of analytics professionals who are passionate about using machine learning to build automated systems and solve problems that matter to our customersYour work will directly impact our customers and operations- Members of this team will be challenged to innovate use the latest big data techniquesWe are looking for people who are motivated by thinking big, moving fast, and exploring business insightsIf you love to implement solutions to complex problems while working hard, having fun, and making history, this may be the opportunity for youOwn the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards on the key drivers of our business- Scope, Design, and build database structure and schema- Create data pipelines using ETL connections/ SQL queries- Retrieve and analyze data using a broad set of Amazons data technologies- Pull data on an ad-hoc basis using SQL queries- Design, build and maintain automated reporting and dashboards Conduct deep dives to identify root causes of pain points and opportunities For improvement: Become a subject matter expert in AB CS data, and support team members in Dive deep: Work closely with CSBI teams to ensure ABCS uses Globally alleged standard Metrics and definition: Collaborate with finance, business to gather data and metrics requirements- A day in the life We thrive on solving challenging problems to innovate for our customersBy pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment If you are not sure that every qualification on the list above describes you exactly, wed still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience writing complex SQL queries Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etcand using databases in a business environment with large-scale, complex datasets

UCFER is looking for Intern to join our dynamic team and embark on a rewarding career journeyAssist in day-to-day departmental operations under the guidance of assigned mentors or supervisors.Support in research, data collection, documentation, and analysis tasks relevant to the assigned function or project.Learn and apply industry-relevant tools, techniques, and procedures as per organizational standards.Participate in team meetings, training sessions, and knowledge-sharing activities to gain practical exposure.Collaborate with different teams to understand workflow and contribute to short-term project goals.

HSBC electronic data processing india pvt ltd is looking for Consultant Specialist to join our dynamic team and embark on a rewarding career journeyThe Consultant Specialist plays a critical role in providing specialized expertise and consulting services to clients or within the organization. This position involves offering strategic insights, solving complex problems, and delivering high-quality solutions tailored to the unique needs of clients or projects.Key Responsibilities:Consultation and Analysis:Conduct in-depth analysis and assessment of client needs, challenges, and objectives.Offer expert advice and guidance to clients on relevant industry trends, best practices, and strategies.Develop comprehensive solutions to address client issues and achieve desired outcomes.Project Management:Plan and execute consultancy projects, ensuring adherence to timelines and budgets.Monitor project progress, identify potential risks, and implement mitigation strategies.Collaborate with cross-functional teams to deliver integrated solutions.Data Analysis and Research:Collect, analyze, and interpret data to provide data-driven insights.Conduct research to stay updated on industry developments and emerging trends.Create reports and presentations to communicate findings effectively.Client Relationship Management:Cultivate strong, long-term relationships with clients and stakeholders.Communicate regularly with clients to ensure their needs are met and expectations are exceeded.Identify opportunities for additional services and business growth.Training and Knowledge Sharing:Provide training, workshops, or presentations to clients or internal teams as needed.Share expertise and knowledge with colleagues to enhance overall team capabilities.

About GlobalFoundries GlobalFoundries is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world s most inspired technology companies. With a global manufacturing footprint spanning three continents, GlobalFoundries makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com . Introduction: The Data Solutions Group is responsible for integrating manufacturing and engineering data out of a high variety of source systems used in the semiconductor engineering and production process. The data warehouse solutions are used in the GLOBALFOUNDRIES Fabs in Dresden, in the US and in Singapore, and the Data Solutions Group is responsible to conceptualize and provide timely, high-quality solutions that address analysis needs of engineers in a leading-edge semiconductor foundry Your Job : Understand the business case and translate to a holistic a solution involving Ab Initio (Cloud/On-prem) , Python, Data Ingestion and Cloud DB Redshift / Postgres, AWS cloud. PL/SQL development for high volume data sets. Experience in preparing data warehouse design artifacts based on given requirements (ETL framework design, data modeling, source-target-mapping), DB query monitoring for tuning and optimization opportunities Proven experience with large, complex database projects in environments producing high-volume data Demonstrated problem solving skills; familiarity with various root cause analysis methods; experience in documenting identified problems and determined resolutions. Makes recommendations regarding enhancements and/or improvements Provides appropriate consulting, interfacing, and standards relating to database management, and monitors transaction activity and utilization. Performance issues analysis and Tuning Data Warehouse design and development, including logical and physical schema design. Other Responsibilities: Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs Customer/stakeholder focus. Ability to build strong relationships with Application teams, cross functional IT and global/local IT teams Required Qualifications : Bachelor or master s degree in information technology, Electrical Engineering or similar relevant fields. Proven experience (3 years minimum) with ETL development, design, performance tuning and optimization, Very good knowledge of data warehouse architecture approaches and trends, and high interest to apply and further develop that knowledge, including understanding of Dimensional Modelling and ERD design approaches, Working Experience in Kubernetes and Docker Administration is added advantage Must have good experience in AWS services, Ab Initio, Big data, Python, Cloud DB RedShift. Good to have exp in PySpark Proven experience with large, complex database projects in environments producing high-volume data, Proficiency in SQL and PL/SQL Experience in preparing data warehouse design artifacts based on given requirements (ETL framework design, data modeling, source-target-mapping), Excellent conceptual abilities pared with very good technical documentation skills, e.g. ability to understand and document complex data flows as part of business / production processes, infrastructure. Familiarity with SDLC concepts and processes A strong candidate for being a great camaraderie builder. Additional Skill: Experience using and developing on AWS services. Experience in semiconductor industry, Knowledge of Semistructured datasets Experience with reporting data solutions and business intelligence tools Experience in collecting, structuring and summarizing requirements in a data warehouse environment, Knowledge of statistical data analysis and data mining, Experience in test management, test case definition and test processes Preferred Qualifications: Bachelor or master s degree with Minimum 10 Years relevant Exp along with people manager exposure. Must have exp in AWS Cloud Services , Ab Initio, Python, Cloud DB Redshift / Postgres and Data Ingestion Experience in preparing Data Warehouse design (ETL framework design, data modeling, source-target-mapping) GlobalFoundries is an equal opportunity employer, cultivating a diverse and inclusive workforce. We believe having a multicultural workplace enhances productivity, efficiency and innovation whilst our employees feel truly respected, valued and heard. As an affirmative employer, all qualified applicants are considered for employment regardless of age, ethnicity, marital status, citizenship, race, religion, political affiliation, gender, sexual orientation and medical and/or physical abilities. All offers of employment with GlobalFoundries are conditioned upon the successful completion of background checks, medical screenings as applicable and subject to the respective local laws and regulations. To ensure that we maintain a safe and healthy workplace for our GlobalFoundries employees, please note that offered candidates who have applied for jobs in India will have to be fully vaccinated prior to their targeted start date. For new hires, the appointment is contingent upon the provision of a copy of their COVID-19 vaccination document, subject to any written request for medical or religious accommodation.

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

Data Analyst Job Description: Interpret data, analyze results using statistical techniques, and provide ongoing reports. Develop and maintain dashboards and visualizations using tools like Power BI, Tableau, or similar. Identify, analyze, and interpret trends or patterns in complex data sets. Work closely with management to prioritize business and information needs. Acquire data from primary or secondary sources and maintain databases/data systems. Filter and clean data, and review reports and performance indicators to locate and correct problems. Provide actionable insights and recommendations based on data analysis. Experience Range: 0 - 1 years Educational Qualifications: Any graduation Skills Required: Data Analysis

Company: Mercer Description: Mercer is seeking candidates for the following position based in their Noida / GGN Office This is a hybrid role that has a requirement of working at least three days a week in the office. This is an IC (Individual contributor) role Senior Manager H&B Consulting - Group Benefits Underwriting What can you expect Mercer is seeking a Senior Health Benefits Analyst to join our team servicing US/Canada regions. This position is a part of a team that provides comprehensive group benefits and human resources solutions to client organizations. The work involves performing data analysis/audit/reconciliation activities and assisting with creating reports.In this critical & analytical role, you will apply your knowledge of functional and technical requirements in conjunction with client business requirements. We will count on you to Create experience reports by gathering necessary data and reviewing it to ensure it is complete, accurate and reasonable Prepare and send templated experience reports to local teams within agreed upon timelines Collect and review vendor renewal data for accuracy and reasonableness Analyze renewal proposals and arrive at a suggested negotiated position for client teams Prepare templated client renewal reports to cascade to local consulting teams Collect and review financial statements for accuracy and reasonableness Prepare a templated financial statement report for client teams Technical peer review other teammates work to ensure accuracy Assist in keeping workflow tracking tool up to date Assist in development and evolution of tools and templates used for workflow, experience reports, financial summaries and renewals to gain efficiencies and streamline work What you need to have: Graduate with minimum 5 - 8 years relevant experience (in group benefits underwriting or benefits consulting, not benefits administration) Intermediate to advanced level knowledge in MS Excel (Must) Proficiency with MS PowerPoint Strong experience in Project/Process/Task Requirements & translating requirements into working deliverables Excel VBA/Python and PowerBi (Preferred- Good to have) Knowledge of H&B domain (Preferred) Sound knowledge of process documentation, development of SOP, knowledge artifacts Ability to work independently and on a team Advanced Logical, Data Analytical & Data Mining skills Strong experience in Workflow, RCA, Defect Management Project management skills thorough understanding of projects and processes Excellent interpersonal skills, strong oral & written communication skills Ability to prioritize and handle multiple tasks in a demanding work environment Applicants should be flexible working in shifts What makes you stand out Adaptable communicator, facilitator, influencer and problem solver High attention to detail Good relationship skills, Proven ability to work on own initiative as well as in a team Ability to multi-task and prioritize time effectively Master s in Business Administration (MBA) Pharmacy benefit management experience Understanding of the US healthcare industry, including pharmacy claim payment systems Project management certifications Mercer believes in building brighter futures by redefining the world of work, reshaping retirement and investment outcomes, and unlocking real health and well-being. Mercer s more than 20,000 employees are based in 43 countries and the firm operates in over 130 countries. Mercer is a business of Marsh McLennan (NYSE: MMC), the world s leading professional services firm in the areas of risk, strategy and people, with more than 85,000 colleagues and annual revenue of over $23 billion. Through its market-leading businesses including Marsh, Guy Carpenter and Oliver Wyman, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment. For more information, visit mercer.com. Follow Mercer on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Job Summary - Bosch Research in India is seeking an accomplished and visionary Technical Manager with deep expertise in Applied AI/ML , a strong commercial delivery mindset, and a demonstrated ability to lead highly competent technical teams . This role is ideal for professionals who have successfully delivered enterprise-grade AI/ML solutions and are ready to scale their impact by leading innovation from experimentation and PoC to robust production systems . You will be instrumental in defining and executing strategic initiatives in areas like time-series analysis, process curve modeling, tabular data mining, foundation models and GenAI , while maintaining a focus on reliable, transparent, and responsible AI practices . Roles & Responsibilities: AI/ML Research and Development Lead the development of advanced machine learning models focused on time-series data analysis, anomaly detection, and forecasting. Design and implement models for process curve analysis and structured/tabular datasets with strong feature engineering. Drive innovation in deep learning applications including foundation models, multi-modal LLMs, RAG (Retrieval-Augmented Generation), and Agentic AI frameworks. Build and refine end-to-end ML systems for production, with an emphasis on reproducibility, scalability, and performance. From Prototype to Enterprise Delivery Manage the entire AI/ML development lifecycle from research experiments and PoCs to high-quality, enterprise-ready deployments. Align model outputs and insights with real-world use cases in industrial domains such as manufacturing, mobility, and automation. Translate technical capabilities into commercially valuable IP, solutions, and assets. Technical Leadership and Team Management Lead a compact, high-impact team of machine learning engineers and data scientists. Foster a culture of engineering excellence, knowledge sharing, and continuous learning. Develop and own the technical roadmap, aligning team deliverables with Bosch s strategic priorities. Guide hiring, performance management, training, and team capability development. Enterprise-Grade Engineering and Operations Architect and maintain robust CI/CD pipelines tailored for machine learning lifecycle management. Design and manage automated workflows for data ingestion, model training, evaluation, and monitoring. Ensure models meet performance, reliability, and explainability requirements in production environments. Promote reproducibility and strong documentation across workflows and pipelines. Customer Engagement and Collaboration Act as the primary technical point of contact for customer engagements, gathering requirements, understanding challenges, and ensuring satisfaction. Manage project delivery across cross-functional, geographically distributed teams. Represent the AI/ML practice within Bosch s global research and business ecosystem.

Company: Marsh Description: We are seeking a talented individual to join our Data Science team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office. Senior Manager - Data Science (AI - CoE) This role at Knowledge Services aims to provide colleagues with an exposure towards key risks faced by businesses and utilize Artificial intelligence to manage, transfer or mitigate them. Incumbent is expected to be an expert of Generative AI (OpenAI APIs), Prompt Engineering, Data Science algorithms, Business Analytics and Data Manipulation. Incumbent will also have an opportunity to contribute to cutting edge analytics platform and products. Expertise in Python is a must. Experience with Insurance or Banking industry is a plus. This position is for an individual contributor in AI and Data Science, who will develop and implement leading-edge techniques in artificial intelligence, machine learning, predictive modeling, and natural language processing as applied in commercial insurance and risk management. This position consults with senior colleagues on complex financial and statistical analyses, and develops approaches for new, market-leading AI-based tools. We will count on you to Understand and refine the Math and Statistics behind the complex AI models Build AI and machine learning algorithms based on the business ask Keep up pace with new trends in the AI world Mine and analyze data to drive optimization and implement business strategies Deploy APIs on the cloud platforms by understanding the technical ask Develop statistical custom data models and algorithms from scratch to enhance current value proposition and new product development What you need to have: Develops solutions based on Large Language Models, Advanced transformers, Advanced deep learning/Neural networks models Expertise in image based advanced models, Object detection, Video/Image processing, multimodal RAGs and other image and video models Develops and deploys API based business solutions on AWS platforms Coordinates with technology colleagues within and outside the team for support, manage, enhance and retrains deployed models Keeps pace with the fast-evolving world of AI, large language models and other type of AI solutions in the market and able to apply research level knowledge to benefit Marsh advisory businesses Designs, develops and contributes to Data architecture for complex enterprise level applications Deploys solutions on AWS cloud platforms Understands business problems to create an approach that starts with determining structured and unstructured data needs and availability, builds AI/ML models, and finalizes with results that unlock insight for clients/colleagues, deploy these solutions on web framework and enterprise wide platforms Demonstrates skill in advanced statistical analysis, data mining, and/or research techniques, combined with broader awareness of the business and ongoing research, while functioning in a collaborative role with the Data Science team and across the wider organization Stays current with ongoing research in the field and brings new approaches to the team Coaches team members on the delivery of AI-based tools and analyses and presentation of findings Masters Degree in Engineering, Computer Science, Data Science or related field 7+ years of experience in the field of Data Science, AI research or similar fields Expert Data Scientist, including expertise with AI and machine learning model building Ability to influence others within and outside of the job function regarding approach and procedures Superior detail orientation, excellent communication and interpersonal skills Expertise of modern programming languages such as Python, including NumPy, Keras, TensorFlow, SQL, and PyTorch etc Familiar with Hugging face and is library of models What makes you stand out Building, training and deploying advanced models from the scratch to the production Business impact with AI models Understanding of insurance and risk management Knowledge and demonstrated experience of advance AI concepts like training language, voice, image or computer vision models Experience of building data visualization in Plotly/Dash/D3.js Hands on experience with stochastic or econometric modelling Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.