3930 R Jobs - Page 39

Physical Design Engineer Experience 4-10 yrs Job Overview: Strong background of ASIC Physical DesignFloor planning, P&R, Extraction, IR Drop Analysis, Static Timing and Signal Integrity.. Hands-on experience on technology nodes like 5nm,7nm, 14nm, 10nm. Good knowledge of EDA tools from Synopsys, Cadence and Mentor Hands-on experience in floor planning, placement optimizations, CTS and routing. Hands-on experience in cadence or Synopsys tool (Encounter, ICC, PT/PTSI, TEMPUS, DC, RC, VOLTAS) Job Category VLSI (Silicon engineering) Job Location IndiaBangalore IndiaChennai IndiaHyderabad IndiaNoida

Required skills : - Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.

- Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.

such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation. Join crossfunctional teams to design, develop, deploy, and finetune generative AI systems , including LLMs, retrievalaugmented generation (RAG), and AI agents Build and maintain scalable, secure backend services commonly using Python and frameworks such as FastAPI

Overview The AI Engineering team at MSCI is seeking a Senior Associate to help build and scale our internal platform for deploying intelligent agents. This platform enables developers and non-technical teams to quickly build, test, and deploy agents that interact with internal APIs and data while respecting entitlements and data boundaries. You will work in close collaboration with engineers across cloud infrastructure, ML ops, and security to ensure the agent platform is robust, flexible, and easy to use. This role requires a passion for platform usability, developer experience, and pragmatic engineering in cross-cloud (Azure + GCP) environments. Responsibilities Implement and improve internal tooling and runtimes for deploying agent-based applications across MSCI teams. Integrate entitlement and data-privacy policies into AI workflows using internal security and identity layers. Develop reusable libraries and interfaces for agents to interact with MSCI services via MCP and additional integrations . Collaborate with UX and internal client teams to build low-friction, high-compliance agent deployment pathways. Contribute to observability, sandboxing, and monitoring capabilities for agent executions and workflows. Qualifications Experience building testing, validation, or observability systems in ML or production software environments. Working knowledge of common agent architectures, LLM prompting strategies, and feedback mechanisms. Comfort working with structured logging, tracing, and evaluation frameworks across GCP or Azure environments. Familiarity with common agentic development platforms like OpenAI agents sdk , google’s adk , langchain , etc Strong analytical mindset with a focus on automation and reproducibility of complex behaviour traces. Demonstrated ability to work across disciplines (engineering, product, risk) to define validation metrics and processes. What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Tasks Roles & Responsibilities: Responsible for Diagnostic Test software development and validation for the Hybrid/EV components Work closely with Development (R&D), Production and Aftersales Develop Test and Commissioning software as per Production Test requirements Collaborate with HIL team and Validate test software on HIL benches Root cause analysis for the defects found during validation and report issue to stakeholders Support in Production issues arising due to Test module implementation Innovative mindset and adapt to learn new technology, as required Onsite travel to Germany to learn and support Team player Qualification: B.Tech/M.Tech in ECE/EEE/EI Mandatory Skills: B.Tech/M.Tech in ECE/EEE/EI or similar 4-6 years of relevant experience in Automotive domain Having good exposure to programming language such as c/c++, Python, Perl Hands on experience on Vehicle and EE architecture Knowledge on various protocols such as CAN, Ethernet, Flexray OBD and Diagnostics relevant experience will be added advantage Exposure to HIL based testing Software: CANoe, CANalyzer, C/C++, Python Hardware: Knowledge on ECU, Topology CAN/Ethernet, Hybrid/EV concepts, HIL testing, Vehicle Diagnostics

SAP Financials (focus on FICO Controlling, Cost Centre Accounting, Profit Centre Accounting, Product Costing, Profitability Analysis, Project System, Results Analysis, Unsettled Costs, Month End Close, Overhead Assessment and settlement

Perform gap analysis & assess the impact of AI implementations on business processes Develop prototypes & proof-of-concept AI solutions using tools like Python, TensorFlow, or R Support UAT Required Candidate profile Experience in AI/ML or data analytics projects, AI/ML concepts, data pipelines, statistical modeling Proficiency in Python, R, or SQL preferred, AI tools - Azure AI, AWS SageMaker, Google AI, OpenAI

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail Experience: Minimum 8 Years Of Experience

Department : Strategic Operations Reports To : Strategy Le ad Job Summary: We are seeking a dynamic and analytical Assistant Strategy Manager to support strategic planning and execution across our property management operations in Bangalore , Hyderabad, and Mumbai. The ideal candidate will assist in driving operational excellence, and user satisfaction through data-driven strategies, cross-functional coordination, and market analysis. Key Responsibilities: Regional Strategy Support: Assist in developing and implementing strategic initiatives for Bangalore , Hyderabad, and Mumbai in alignment with firms goals. Market Intelligence : Gather and analyze competitor activities, Latest industry trends Accommodate client needs Cross-functional Collaboration : Work closely with finance team to forecast budget Work closely with procurement team Reporting: Prepare business reports, presentations, and strategic updates for leadership review. Skills: Advanced MS Excel skills ability to structure and perform analysis independently. Proficiency in MS PowerPoint and MS Word to create professional presentations and reports. Strong grasp of financial concepts and numerical analysis. Ability to manage large datasets and extract meaningful insights. Experience in data handling, market research. Soft Skills & Competencies: Strong analytical and problem-solving abilities. Strong interpersonal and communication skills for cross-functional collaboration. Ability to work in a fast-paced environment with minimal supervision. Detail-oriented, proactive, and highly motivated

Role Description As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description As a Senior Data Reporting Services Specialist at Incedo, you will be responsible for creating reports and dashboards for clients. You will work with clients to understand their reporting needs and design reports and dashboards that meet those needs. You will be skilled in data visualization tools such as Tableau or Power BI and have experience with reporting tasks such as data analysis, dashboard design, and report publishing. Roles & Responsibilities: Design and develop reports and dashboards to help businesses make data-driven decisions. Develop data models and perform data analysis to identify trends and insights. Work with stakeholders to understand their reporting needs and develop solutions that meet those needs. Proficiency in data visualization tools like Tableau, Power BI, and QlikView. Technical Skills Skills Requirements: Strong knowledge of SQL and data querying tools such as Tableau, Power BI, or QlikView Experience in designing and developing data reports and dashboards Familiarity with data integration and ETL tools such as Talend or Informatica Understanding of data governance and data quality concepts Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Management Level: Ind & Func AI Decision Science Senior Manager Location: Gurgaon,Bangalore Must-have skills: Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, Time Series (ARMA/ARIMA), Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, PowerBI, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills: Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are seeking a highly skilled Ind & Func AI Decision Science Consultant to join the Accenture Strategy & Consulting team in the Global Network Data & AI practice. You will be responsible for risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role offers opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: Engagement Execution Lead client engagements that may involve model development, validation, governance, risk strategy, transformation, implementation, and end-to-end delivery of risk management solutions for Accentures clients. Advise clients on a wide range of Credit, Market, and Operational Risk and Management/Analytics initiatives. Projects may involve Risk Management advisory work for CROs, CFOs, etc., to achieve a variety of business, operational, and regulatory outcomes. Be a trusted advisor to senior executives and management on their business needs and issues. Develop and frame a Proof of Concept for key clients, where applicable, including scoping, staffing, engagement setup, and execution. Practice Enablement Mentor, groom, and counsel analysts, consultants, and managers to be successful and effective Management Consultants. Support development of the Risk Analytics Practice by driving initiatives around staffing, quality management, recruitment, capability development, knowledge management, etc. Develop thought capital and disseminate information around current and emerging trends in Financial Risk Management. Contribute to development of Accenture Points-of-View on a variety of risk analytics topics. Publish research and present ideas at industry conferences and seminars. Opportunity Development Identify business development opportunities for our Risk Management offerings in the Banking and Capital Market domains. Develop compelling business case/response to new business opportunities. Work with deal teams to provide subject matter expertise on credit, market, and operational risk-related topics and participate in development of client proposals and RFP responses. Client Relationship Development Develop trusted relationships with internal and external clients and have an eye for qualifying potential opportunities and negotiating complex deals. Build strong relationships with global Accenture Analytics and Risk Management teams, and further develop existing relationships based on mutual benefit and synergies. Professional & Technical Skills: 11-15 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services/Risk Advisory with significant exposure to Credit Risk: Risk Ratings, Credit Risk Methodology, PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios. Market Risk: Stress Testing, Liquidity Risk, Counterparty Credit Risk, PPNR/Revenue/Loss Forecasting, Pricing. Operational Risk: Fraud Risk, Collections and Recovery, Credit Policy and Limit Management, Fraud Risk, Counterparty Credit Risk. Regulatory Knowledge: Basel II/III, Solvency, FRTB, CCAR, IFRS9/CECL, etc. Strong understanding of banking products across retail and wholesale asset classes, and expertise in frameworks and methodologies used in risk analytics for banking portfolios. Expertise in risk strategy design and supporting analytics for banking portfolios. Modeling Techniques: Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias Algorithms. Programming Languages & Tools: SAS, R, Python, Spark, Scala, Tableau, QlikView, PowerBI, SAS VA, Moodys Risk Calc, Bloomberg, Murex, QRM. Additional Information: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities. Industry Certifications:FRM, PRM, CFA preferred. Excellent Communication and Interpersonal Skills. Willingness to travel up to 40% of the time. Qualification Experience: Minimum 11-15 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification: Masters degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities, Industry certifications such as FRM, PRM, CFA preferred

Role Description As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Software Test Engineer at Trading Technologies, you will play a crucial role in ensuring the quality and functionality of our cutting-edge trading applications. Your main responsibilities will include designing, developing, and executing test plans and test cases based on software requirements and technical design specifications. You will collaborate with the Development team to investigate and debug software issues, recommend product improvements to the Product Management team, and constantly enhance your skills alongside a team of testers. Your expertise in testing multi-asset trade analytics applications, automated testing using Python or similar programming languages, and experience with cloud-based systems like AWS will be invaluable in this role. Knowledge of trade analytics standards such as pre- and post-Trade TCA, SEC & FINRA rule compliance, MiFID II, and PRIIPs analytics will be highly advantageous. Additionally, your understanding of performance and load testing for SQL queries and data pipelines will be essential. At Trading Technologies, we offer a competitive benefits package to support your well-being and growth. You will have access to medical, dental, and vision coverage, generous paid time off, parental leave, professional development opportunities, and wellness perks. Our hybrid work model allows for a balance between in-office collaboration and remote work, fostering team cohesion, innovation, and mentorship opportunities. Join our forward-thinking and inclusive culture that values diversity and promotes collaborative teamwork. Trading Technologies is a leading Software-as-a-Service (SaaS) technology platform provider in the global capital markets industry. Our TT platform connects to major international exchanges and liquidity venues, offering advanced tools for trade execution, order management, market data solutions, risk management, and more to a diverse client base. Join us in shaping the future of trading technology and delivering innovative solutions to market participants worldwide.,

As a data science expert, you will be responsible for developing strategies and solutions to address various problems using cutting-edge machine learning, deep learning, and GEN AI techniques. Your role will involve leading a team of data scientists to ensure timely and high-quality delivery of project outcomes. You will analyze large and complex datasets across different domains, perform exploratory data analysis, and select features to build and optimize classifiers and regressors. Enhancing data collection procedures, ensuring data quality and accuracy, and presenting analytical results to technical and non-technical stakeholders will be key aspects of your job. You will create custom reports and presentations with strong data visualization skills to effectively communicate analytical conclusions to senior company officials and other stakeholders. Proficiency in data mining, EDA, feature selection, model building, and optimization using machine learning and deep learning techniques is essential. Your primary skills should include a deep understanding and hands-on experience with data science and machine learning techniques, algorithms for supervised and unsupervised problems, NLP, computer vision, and GEN AI. You should also have expertise in building deep learning models for text and image analytics using frameworks like ANNs, CNNs, LSTM, Transfer Learning, Encoder, and decoder. Proficiency in programming languages such as Python, R, and common data science tools like NumPy, Pandas, Matplotlib, and frameworks like TensorFlow, Keras, PyTorch, XGBoost is required. Experience with statistical inference, hypothesis testing, and cloud platforms like Azure/AWS, as well as deploying models in production, will be beneficial for this role. Excellent communication and interpersonal skills are necessary to convey complex analytical concepts to diverse stakeholders effectively.,

Are you seeking an exciting opportunity to join a dynamic and growing team in a fast-paced and challenging environment This unique position offers you the chance to work with our team to collaborate with the Business and provide a comprehensive view of the operations. This role is a Quant Profile that supports the activities of the Quantitative Research Group (across asset classes) & Custody & Fund Services on a global scale, based in Mumbai. The QR team in Mumbai plays a crucial role in delivering effective, timely, and independent assessments of the Firm's booking models for exotic structures and contributes to the development of new models as required. As a Quantitative Research Associate/Vice President in the Quantitative Research Group, you will partner with the Business to offer a comprehensive view and support activities across asset classes globally. You will be instrumental in providing effective, timely, and independent assessments of the Firm's booking models for exotic structures while also contributing to the development of new models. Join a team that is revolutionizing business practices through data science and quantitative methods, where JP Morgan is a key player managing trillions of dollars of client assets. Responsibilities: - Conduct large-scale analysis on proprietary datasets to solve unprecedented problems - Discover new insights to drive feature modeling for nuanced insights - Develop models from prototype to full-scale production - Provide real-world, commercial recommendations through effective presentations to stakeholders - Utilize data visualization to communicate data insights and results - Document and test new/existing models in collaboration with control groups - Implement models in Python-based proprietary libraries - Provide ongoing desk support Required qualifications, capabilities & skills: - Master's or Ph.D. degree in computer science, statistics, operations research, or other quantitative fields - Proficient in data manipulation, extraction, and analysis - Strong understanding of statistics, optimization, and machine learning methodologies - Experience building models from prototype to full-scale production using ML/big data modeling techniques - Familiarity with developing models on cloud infrastructure - Integration and utilization of LLM models for advanced model development and enhancement - Basic knowledge of financial instruments and pricing - Proficiency in software design principles and development using C++, Python, R, Java, or Scala - Previous hands-on experience solving machine learning problems using open-source packages - Excellent communication skills (verbal and written) with the ability to present findings to a non-technical audience Preferred qualifications, capabilities & skills: - Participation in KDD/Kaggle competitions or contributions to GitHub are highly desirable.,

You believe that every candidate brings something special to the table, including yourself! Even if you feel that you're close but not an exact match, Gallagher encourages you to apply. They would be thrilled to receive applications from exceptional individuals like you. Gallagher, a global industry leader in insurance, risk management, and consulting services, boasts a team of over 50,000 professionals worldwide. Their culture, known as "The Gallagher Way," is driven by shared values and a passion for excellence. The Gallagher Center of Excellence (GCoE) in India, founded in 2006, upholds the values of quality, innovation, and teamwork. With 10,000+ professionals across five India locations, GCoE is where knowledge-driven individuals make a significant impact and build rewarding, long-term careers. Analytics is at the heart of decision-making at the GSC. Leveraging proprietary data, proven techniques, and expertise built over years, the teams at GSC help Gallagher with its business expansion and retention goals. The infrastructural capabilities allow the teams to source, forecast, visualize, model, and manage data seamlessly. The primary focus of the role is to provide guidance and assistance to account teams and clients by using financial decision-making tools and to speak effectively on behalf of the Financial Benefits Consulting team regarding core services. Responsibilities: - Provide and present financial monitoring reports that measure client financial status, track expenses by product line, renewal projections, funding levels, and rates - Maintain proficiency in various proprietary Models and Tools to calculate financial results - Analyze data from carriers on complex clients and provide recommendations to Client Servicing teams - Prepare and analyze various client deliverables as defined by the scope of services of the Financial Benefits Consulting team - Demonstrate understanding of analysis and think beyond the numbers on the page - Conduct special assignments as assigned by management - Collect required data and materials for successful project completion - Communicate effectively in a fast-paced work environment - Navigate through conflict effectively - Demonstrate competence with internal systems - Communicate effectively both orally and in writing - Demonstrate initiative and assertiveness in presenting new ideas Qualifications: - Background in Maths or Stats - Good knowledge of Applied Statistics at an Intermediate Level - Good knowledge of MS Excel & VBA - Intermediate Level proficiency in Python & R - Excellent analytical skills - Good communication skills Gallagher values inclusion and diversity, considering it a core part of their business. Inclusion and diversity are embedded into the organization's fabric, leading with a commitment to sustainability and supporting the communities where they live and work. Embracing employees" diverse identities, experiences, and talents allows Gallagher to better serve clients and communities. Inclusion is seen as a conscious commitment, and diversity is considered a vital strength. Gallagher extends equal employment opportunity in all aspects of the employer-employee relationship and makes reasonable accommodations for qualified individuals with disabilities.,

You are an experienced ETL (SSIS) Developer who will be an integral part of our Data Management team. Your primary responsibility will involve collaborating with various cross-functional teams to comprehend their data requirements and effectively transform raw data from SQL, Oracle, and AWS S3 into our DataWarehouse. Your key job functions and responsibilities will include: - Developing and optimizing ETL workflows to produce valuable data and reports. - Integrating data from SQL database, Oracle database, Flat files, AWS S3. - Troubleshooting and debugging existing SSIS packages to enhance performance and reliability. - Fine-tuning SQL queries and views for improved efficiency. - Working closely with both onshore and offshore data team members. - Engaging with business and sales teams to grasp their data and automation necessities. - Creating and maintaining detailed documentation for all systems and jobs. To excel in this role, you should meet the following qualifications: - Hold a Bachelor's Degree. - Possess a minimum of 5 years of ETL (SSIS) developer experience, with a proven track record of integrating various databases and flat files. - Demonstrate expert proficiency in SQL. - Exhibit strong English communication skills to effectively interact with business stakeholders. - Ideally, have experience in Agile Project Management methodology. - Familiarity with connecting to AWS services is preferred. - Knowledge in AI/ML and proficiency in Python or R for data analysis would be advantageous. Your work schedule will entail approximately 3 hours of overlap between onshore and offshore work hours, from 1:30 PM IST to 10:30 PM IST.,

You will be responsible for assisting in building and validating machine learning models as well as performing data cleaning, transformation, and feature engineering. Additionally, you will conduct exploratory data analysis using Python or R, support model tuning, performance tracking, and documentation. Collaboration with the team to apply AI/ML solutions to business use cases will be a key part of your role. You will also prepare clear reports and visualizations to present findings effectively. Applexus is a global technology leader that offers business consulting and SAP services to customers in the retail, fashion, and consumer products industries. Established in 2005, Applexus prioritizes customer satisfaction by developing technology solutions that facilitate business transformation. Headquartered in Seattle, Washington, Applexus operates across various centers in North America (Seattle & Canada), the United Kingdom, and India (Trivandrum & Chennai). The company is dedicated to making a positive impact by serving communities worldwide.,

As a Data Science & Data Analytics Faculty member with expertise in Full Stack Development, you will play a crucial role in delivering high-quality education to our students. You should possess a strong background in both theoretical and practical aspects of data science, analytics, and web development. Your responsibilities will include imparting knowledge in programming languages such as Python, R, JavaScript, HTML, CSS, and frameworks like Django, React, Node.js. To excel in this role, you are required to hold a Bachelor's or Masters degree in Computer Science, Data Science, Information Technology, or a related field. Prior industry experience in data science, analytics, or web development would be considered advantageous. Joining our team will provide you with opportunities for professional growth and development in a collaborative and supportive work environment. You will have the chance to make a significant impact on students" lives and careers by sharing your expertise and knowledge. This is a full-time position that requires the incumbent to work in person. The application deadline for this role is 31/07/2024.,

You have an exciting opportunity to join us as a Senior Software Engineer with expertise in Java within the Genomics/BioMedical domain. With a minimum of 6 years of experience, you will play a pivotal role in developing world-class software solutions that leverage genomic data for the betterment of human life. Your responsibilities will revolve around collaborating with scientists to understand requirements, developing data analysis strategies, and implementing bioinformatics data integration and analysis pipelines using Java and other relevant scripting languages. To excel in this role, you must possess a deep understanding of genomics, experimental data processing, high-throughput data analysis, and genomic databases. Your firm grasp of statistical analysis fundamentals, strong computational skills, and experience in data parsing, cleansing, modeling, analysis, and database design are essential. Proficiency in Unix/Linux, cluster computing, and multivariate statistics will be advantageous. Moreover, your expertise in object-oriented design and programming, development of multi-tier, scalable, browser-based applications, and experience with AWS will be highly valued. Your ability to work with scripting languages like Perl and Bash, alongside your enthusiasm for testing and testability, will set you apart. Additionally, your exceptional communication skills and the ability to work effectively within geographically distributed teams will be crucial. As a Senior Software Engineer, you will be responsible for designing and developing new software, creating high-level architectural specifications, and presenting results and methods effectively. Your role will involve representing the team in cross-organizational development forums, gathering customer requirements, and providing training to new software engineers. Your BS/MS in Computer Science, Physics, Mathematics, or related technical disciplines, along with your authentic, transparent, and collaborative approach, will be instrumental in driving innovation and success in this role. If you are a highly motivated individual who thrives in a fast-paced environment, possesses exceptional technical skills, and is passionate about leveraging technology for the betterment of human life, we encourage you to apply for this exciting opportunity. Join us in making a meaningful impact in the field of Genomics and BioMedical domain by sending your application to jobs@augustainfotech.com.,

The Head of R&D AI Engineering at Sanofi is a crucial role within the R&D Data & AI Products and Platforms Team, where you will play a pivotal part in driving the development and delivery of Data and AI products to enhance R&D operations. As part of the digital transformation program at Sanofi, you will lead the acceleration of data transformation and adoption of artificial intelligence (AI) and machine learning (ML) solutions to improve R&D, manufacturing, and commercial performance. Your main responsibilities will include developing and executing a vision and strategy for AI/ML product development, leading AI product development in alignment with R&D data strategy and business goals, and ensuring the deployment of AI/ML models through APIs/endpoints. You will collaborate closely with AI/ML model development teams, manage project timelines and resource allocation, and promote bias protection and fairness within AI/ML technologies. As the Head of R&D AI Engineering, you will also be responsible for building and leading a high-performing team of engineers, providing mentorship, training, and resources to empower the team to deliver engineering excellence. You will work towards continuous improvement in AI/ML product delivery and provide guidance and support to overcome any challenges faced by AI Engineers during product delivery. Furthermore, you will collaborate with Platform and Data Engineering Teams to maintain data pipelines and consistent ways of working across teams, and partner with Enterprise Digital to oversee AI/ML data protection, governance, and compliance. Your expertise in machine learning, deep learning, natural language processing, and other related ML/AI technologies, along with experience in programming languages such as Python, R, Java, and cloud platforms, will be essential in this role. Sanofi is committed to providing a supportive and future-focused environment where you can bring the miracles of science to life. With numerous opportunities for growth and career development, a well-crafted rewards package, and a wide range of health and wellbeing benefits, Sanofi offers an empowering and rewarding career journey. Join us in pursuing progress and discovering extraordinary possibilities in the field of science and healthcare.,

You are a highly skilled and detail-oriented Senior SQL Data Analyst who will be joining a data-driven team. Your main responsibility will involve leveraging advanced SQL skills to extract, analyze, and interpret complex datasets, thus delivering actionable insights to support crucial business decisions. You will collaborate closely with cross-functional teams to identify trends, solve problems, and drive data-informed strategies throughout the organization. Your key responsibilities will include developing, writing, and optimizing advanced SQL queries to retrieve and analyze data from various sources. Additionally, you will be responsible for designing and maintaining complex data models, dashboards, and reports. Collaboration with stakeholders to comprehend business needs and translate them into analytical requirements will be a crucial aspect of your role. You will conduct deep-dive analysis to identify key business trends and opportunities for growth or improvement, ensuring data integrity and accuracy across systems and reporting tools. Automation of recurring reports and development of scalable data pipelines will also be part of your responsibilities. Furthermore, you will be required to present your findings in a clear, compelling manner to both technical and non-technical audiences. **Qualifications:** **Required:** - Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related field. - 5+ years of experience in data analysis or a similar role with a strong focus on SQL. - Expert proficiency in SQL (window functions, joins, CTEs, indexing, etc.). - Strong understanding of data warehousing concepts and relational database systems (e.g., PostgreSQL, SQL Server, Snowflake, Redshift). - Experience with BI tools like Tableau, Power BI, or Looker. - Excellent analytical, problem-solving, and communication skills. **Preferred:** - Experience with scripting languages (Python, R) for data manipulation. - Familiarity with cloud data platforms (AWS, Azure). - Knowledge of ETL tools and best practices. - Previous experience in a fast-paced, agile environment.,

The Credit Portfolio Senior Analyst position at our organization involves conducting credit reviews, credit approval, and monitoring the portfolio to identify credit migration in coordination with the Risk Management team. As an intermediate-level position, your role will be crucial in managing Citi's portfolio exposure to clients and counterparties globally. You should possess a minimum of 8 years of relevant work experience and have the ability to work with large and complex data sets, both internal and external, to evaluate, recommend, and support the implementation of business strategies. Utilizing tools like SAS, SQL, and Access, you will be responsible for identifying and compiling data sets to help predict, improve, and measure the success of key business outcomes. Documenting data requirements, data collection, processing, cleaning, and exploratory data analysis will be part of your responsibilities, along with experience in SAS, SAS/Stat, and SQL being essential. Experience with Digital, Big Data mining tools, and technology is advantageous, as is experience with end-to-end project or process management. An ideal candidate would have experience in a large, sophisticated credit granting organization with major credit card, financial services, retail, or consulting business. Strong quantitative and analytic skills, a data-driven mindset, and hands-on experience working with large datasets are also key requirements, along with proficiency in programming using SAS and Big Data (Hadoop preferred). You should be adept at leveraging technology and robust data management systems, statistics to support risk identification, measurement, and monitoring of production data and attributes. Knowledge of Credit cards and the use of Bureau data in Credit Underwriting is crucial. Effective communication, both written and verbal, is essential, along with the ability to create and deliver compelling presentations to various audiences. Having a solutions-oriented attitude, challenging the status quo, driving innovation through thought leadership, and maintaining an end-to-end view are also important attributes for this role. The ability to prioritize work, make decisions independently, and maintain high standards while being detail-oriented and intellectually curious are qualities we value in a candidate. A Bachelor's degree or equivalent experience is required for this position. Furthermore, skills in analytical thinking, constructive debate, escalation management, industry knowledge, policy and procedure, risk controls, and monitors, among others, are highly relevant to this role. If you require a reasonable accommodation to apply for this career opportunity due to a disability, please review Accessibility at Citi. Additionally, you can view Citis EEO Policy Statement and the Know Your Rights poster for further information.,