539 Logistic Regression Jobs - Page 9

Data Science Analyst in Bangalore, , India ISP India - Bangalore Bangalore, India Date Added: Jun 27, 2025 Description ISP Data Science - Analyst Role Profile Purpose of Role We are seeking a highly skilled and data-driven Data Science - Analyst to join our team. The ideal candidate will leverage advanced data analytics and AI techniques along with business heuristics to analyse student enrolment and retention data, identify trends, and provide actionable insights to support ISP and its schools enrolment goals. This role is critical for improving student experiences, optimising resource allocation, and enhancing overall enrolment and retention performance. The successful candidate will bring strong expertise in Python or equivalent-based statistical modelling (including propensity modelling), experience with Azure Databricks for scalable data workflows, and advanced skills in Power BI to build high-impact visualisations and dashboards. The role requires both technical depth and the ability to translate complex insights into strategic recommendations. Begin with our children and students. Our children and students are at the heart of what we do. Simply, their success is our success. Wellbeing and safety are both essential for learners and learning. Therefore, we are consistent in identifying potential safeguarding and Health & Safety issues and acting and following up on all concerns appropriately. Treat everyone with care and respect. We look after one another, embrace similarities and differences and promote the well-being of self and others. Operate effectively. We focus relentlessly on the things that are most important and will make the most difference. We apply school policies and procedures and embody the shared ideas of our community. We make financial choices carefully based on the needs of the children, students and our schools. Learn continuously. Getting better is what drives us. We positively engage with personal and professional development and school improvement. ISP Data Science - Analyst Key Responsibilities Collect, clean, and preprocess, enrolment, retention, and customer satisfaction data from multiple sources. Analyse data to uncover trends, patterns, and factors influencing enrolment, retention, and customer satisfaction. AI and Machine Learning Implementation: Expertise in developing and deploying propensity models to support customer acquisition and retention activities and strategy. Experience with Azure, Databricks (and other equivalent platforms) for scalable data engineering and machine learning workflows. Develop and implement AI models, such as predictive analytics and propensity models to forecast enrolment patterns and retention risks. Use machine learning algorithms to identify high-risk student populations and recommend intervention strategies. Support lead scoring model development on HubSpot CRM. Collaborate with key colleagues to understand and define the most impactful use cases for AI and Machine Learning. Analyse cost/benefit of deploying systems and provide recommendations. Reporting and Visualisation: Create relevant dashboards on MS Power BI, reports, and visualisations to communicate key insights to stakeholders. Present findings in a clear and actionable manner to support decision-making. Collaboration: Work closely with key Group and Regional colleagues to understand challenges and opportunities related to enrolment and retention. Partner with IT and data teams to ensure data integrity and accessibility. Continuous Improvement: Monitor the performance of AI models and analytics tools, making necessary adjustments to improve accuracy and relevance. Stay updated with the latest advancements in AI, data analytics, and education trends. Skills, Qualifications and Experience Bachelor s degree in Data Science, Computer Science, Statistics, or a related field (Master s preferred). At least 2 years experience in data analytics, preferably in education or a related field Experience in implementing predictive models - propensity models and interpreting their results. Strong Python skills for statistical modelling, including logistic regression, clustering, and decision trees. Hands-on experience with Azure Databricks is highly preferred. Strong working knowledge of Power BI for building automated and interactive dashboards. Hands-on experience with AI/ML tools and frameworks and currently employed in an AI/ML role. Proficiency in SQL, Python, R, or other data analytics languages. Skills and preferred attributes: Strong understanding of statistical methods and predictive analytics. Proficiency in data visualization tools (e.g., Tableau, Power BI, or similar). Excellent problem-solving, critical thinking, and communication skills. Ability to work collaboratively with diverse teams. Experience in education technology or student success initiatives. Familiarity with CRM or student information systems. Knowledge of ethical considerations in AI and data privacy laws. ISP Commitment to Safeguarding Principles ISP is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. All post holders are subject to appropriate vetting procedures, including an online due diligence search, references and satisfactory Criminal Background Checks or equivalent covering the previous 10 years employment history. ISP Commitment to Diversity, Equity, Inclusion, and Belonging ISP is committed to strengthening our inclusive culture by identifying, hiring, developing, and retaining high-performing teammates regardless of gender, ethnicity, sexual orientation and gender expression, age, disability status, neurodivergence, socio-economic background or other demographic characteristics. Candidates who share our vision and principles and are interested in contributing to the success of ISP through this role are strongly encouraged to apply.

Role & responsibilities The Assistant Manager/Deputy Manager is primarily responsible for using analytics tools to perform unstructured problem solving and in-depth analysis of programs and opportunities in the collections business. You will make recommendations to improve the business profitability or operational processes based on their analysis and design strategies to implement those recommendations. The role is also responsible to own syndication of findings with VP level leaders globally and manage implementation with support. PRINCIPAL RESPONSIBILITIES Coach new team members on technical skills and business knowledge Develop and implement analytics best practices and knowledge management practices Makes recommendations to improve business profitability or processes. Estimate opportunity size and develop business case. Manage implementation of ideas and project plans with minimal support. Present and share data with other team members and to leadership independently. Understand end-to-end business processes. Independently extract, prepare and analyze gigabytes of data to support business initiatives (e.g. profitability, performance, variance analysis etc). Develop solutions with minimal support. Develop techniques and computer algorithms for data analysis for making it meaningful and actionable. Preferred Qualifications (Education & Experience) Education: Bachelor's/Masters with strong and consistent academic record in engineering, quantitative or statistical field.. 2.5 to 7 years' experience in analytics or consulting including 2+ years in Financial Services. Expert knowledge of Azure / Python incl. Pandas, Pyspark / SQL. Demonstrated experience in unstructured problem solving and strong analytical aptitude. Advanced use of MS Office (Excel, PowerPoint). Strong Communication (Written and Verbal) Storyboarding and Presentation Skills Project Management. Ability to multitask. Need Excellent Communication skills.

: In Scope of Position based Promotions (INTERNAL only) Job TitleQuantitative Strategist Analyst LocationMumbai, India Role Description Group Strategic Analytics : Analytics and technology are seen as central to all the main units of the bank, including Investment Bank, Corporate Bank and to Risk and Control functions. The Strategic Analytics team combines expertise in quantitative analytics, modelling, pricing and risk management with deep understanding of system architecture and programming. The primary output is a scalable and flexible Front Office pricing and risk management system with consistent interface to both the Middle Office and Back Office. The consistency in analytics and the technology platform ensures that no arbitrage can exist between various parts of the Bank as well as rational allocation of constrained resources, including risk budget, balance sheet, funding, and capital. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Valuation Control Strats: The candidate is required to work in collaboration with London/New York/Berlin team on various quantitative and regulatory driven projects. Candidate is required to understand the business problem, gather information required for the implementation and provide an end-to-end optimized solution on a scalable platform. Implementation of the project needs to be done in Python programming language. Candidate should possess a very good English communication skill in order to coordinate and communicate work effectively with various stakeholders spread across globe. ROLE RESPONSIBILITIES Development of complex processes, framework or risk analysis as well as improvements Implement, enhance and maintain existing framework to measure market risks across the bank Understand and decipher business problem to convert into manageable smaller problem statements Coordinate and gather information from various stakeholders for deeper understanding of the business Design an automated solution which is optimized and scalable Develop and design tables and databases required for the storage of the data Develop applications/libraries for the implementation of the solution Remediation of regulatory as well as external and internal findings against the MR HS models in line with the assigned tasks Constant awareness and understanding of the key market risks taken by the business areas and communication to senior management and with external stakeholders, challenge the business within assigned areas when required Quality assurance (e.g. 4 eyes principle reviews) Your skills and experience Education/ Qualifications: Strong educational background in Engineering/Science, Economics, Statistics or other numerate discipline preferably from good colleges in India e.g. IIT, NIT, ISI , BITS etc. Good knowledge of financial instruments and markets across all asset classes Knowledge of financial pricing models, risk models would be desirable Certification courses like CFA/FRM/CQF Competencies: Programming Skills At least 2 years hands on experience in Python programming Good knowledge of OOPs programming concepts ( Class, Pointers, Data structure stacks, queue) Experience in pulling data from various Market data sources. Independent handling and mitigating methodological or process weaknesses identified by regulators, auditors and internal model validation team Strong communication skills and presentation ability with attention to detail Good problem solving instincts and strong analytical skills Personal characteristics: Ability to work independently as well as flexibly within intra or inter-departmental groups Continuous advancement of own skills and knowledge Can-Do attitude & Able to cope well under pressure and tight deadlines How well support you About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

Job Responsibilities : ( Must have ) Six Sigma Green Belt OR Black Belt certification Graduate in any stream Analytics Good knowledge of MS Office Descent knowledge of statistical tools Drive the Six Sigma culture and initiative across the organization with commitment, passion and persistence Ensure Positive contribution to the companys Gross margins and Operating margins. Lead/ participate in Six Sigma and Lean projects. Identify and Mentor Six Sigma and Lean projects Mentor Green Belt Trainees Participate in consulting assignments Internally and at Client site Support/ Enable change management ensuing from the projects Value stream Mapping/ Process mapping Follow up on action items Recommend new/ improvements to delivery models Identify and ensure implementation automation projects, process improvements and cost optimization opportunities. Support maintenance of World Class Delivery standards Support Initiatives from CEOs office through CEO PMO Create reports for COO, Functional heads\Operational Heads and QPE. Monitor dashboards and issues for early warning signals and trends. Support for RFP, RFI, Sales Collaterals. Six Sigma and other (ARM grid) trainings. Participate in various meetings as part of the profile Job Responsibilities : (Desired) Should have done projects for Green Belt and Black Belt Good Communication skills Good interpersonal skills Criteria : (Must have) Must have driven process improvement plans/continuous improvement in customer service domain. Should be aware of DMAIC & Hypothesis Testing Graduate. Criteria : (Desired) Added advantage Mini Tab. Should be aware of 7 QC tools. Shifts timings: Flexible shifts Week Off : Saturday & Sunday Transport : NA

Produce written reports, problem statements, methods interpretation & business implications Data Analysis & Data Science using Agile principles Analyze claims, cases, data requirements Build models of severity analysis Exp Insurance Domain or Project Required Candidate profile Exp in EDA, Azure MS DevOps Snowflake, Databricks, Python/Spark, CI/CD, Sci-Kit Learn, Git AI implementation Algorithms Agile Principles Business & Data Analysis Statistics Random Forest Case Study

We are looking for a highly skilled and experienced Manager - Data Science to join our team in Mumbai. The ideal candidate will have 2 to 5 years of experience in the Indian BFSI sector, with a strong background in analytics and data science. Roles and Responsibility Drive analytics across Tata Capital using sophisticated statistical techniques. Design advanced analytical scorecards for customer acquisition, lifecycle management, and collection/recoveries. Manage Bureau relationships for market trends and insights. Enhance data through external/alternate data providers for better scoring. Implement machine learning algorithms for advanced analytics. Collaborate with business users to implement and monitor scorecards/solutions, assessing their impact on business and risk. Utilize IT platforms to implement analytical solutions. Engage with senior management and business stakeholders to drive business growth through analytical solutions. Job Post Graduate or Graduate in Engineering, MBA. Hands-on experience with scoring/data modeling. Proficiency in tools such as SAS, R, or Python. Knowledge of statistical techniques including logistic regression, segmentation, forecasting, machine learning, and optimization. Good interpersonal and presentation skills. Experience working in the Indian BFSI sector.

Role & responsibilities We are seeking a talented and self-motivated Data Science and Analytics Individual Contributor to join our Vehicle Technology team. This role is perfect for a highly skilled professional who excels in data science, data visualization, Python programming, and the creation of data pipelines for ETL (Extract, Transform, Load) processes. The individual in this position will play a pivotal role in shaping our data-driven decision-making processes and contributing to the success of the company. 1. Data Analysis and Exploration: Conduct thorough data analysis to uncover actionable insights and trends. Collaborate with cross-functional teams to define data requirements and extract relevant data. 2. Data Visualization: Create visually compelling and informative data visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). Develop interactive dashboards to present insights in an accessible and understandable manner. 3. Machine Learning and Predictive Modeling: Build, validate, and deploy machine learning models to solve business problems and predict outcomes. Optimize and fine-tune models for accuracy and efficiency. 4. Python Programming: Develop and maintain Python scripts and applications for data analysis and modeling. Write clean, efficient, and well-documented code for data manipulation and analytics. 5. ETL Pipeline Creation: Design and implement ETL pipelines to extract, transform, and load data from various sources into data warehouses. Ensure data quality, consistency, and accuracy within ETL processes. Enforce data governance best practices to maintain data quality, security, and compliance with industry regulations. Collaborate with IT and Data Engineering teams to optimize data storage and access. Work closely with cross-functional teams to understand business requirements and provide data-driven solutions. Effectively communicate findings and insights to both technical and non-technical stakeholders. Preferred candidate profile Proven experience in data science, data analysis, and predictive modeling. Proficiency in Python programming, data manipulation, and relevant libraries. Strong experience with data visualization tools (We prefer Power BI). Knowledge of ETL processes and pipeline creation. Familiarity with machine learning techniques and frameworks. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience with SQL and database management. Knowledge of CANBus protocol is a plus

Role & responsibilities We are seeking a talented and self-motivated Data Science and Analytics Individual Contributor to join our Vehicle Technology team. This role is perfect for a highly skilled professional who excels in data science, data visualization, Python programming, and the creation of data pipelines for ETL (Extract, Transform, Load) processes. The individual in this position will play a pivotal role in shaping our data-driven decision-making processes and contributing to the success of the company. 1. Data Analysis and Exploration: Conduct thorough data analysis to uncover actionable insights and trends. Collaborate with cross-functional teams to define data requirements and extract relevant data. 2. Data Visualization: Create visually compelling and informative data visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). Develop interactive dashboards to present insights in an accessible and understandable manner. 3. Machine Learning and Predictive Modeling: Build, validate, and deploy machine learning models to solve business problems and predict outcomes. Optimize and fine-tune models for accuracy and efficiency. 4. Python Programming: Develop and maintain Python scripts and applications for data analysis and modeling. Write clean, efficient, and well-documented code for data manipulation and analytics. 5. ETL Pipeline Creation: Design and implement ETL pipelines to extract, transform, and load data from various sources into data warehouses. Ensure data quality, consistency, and accuracy within ETL processes. Enforce data governance best practices to maintain data quality, security, and compliance with industry regulations. Collaborate with IT and Data Engineering teams to optimize data storage and access. Work closely with cross-functional teams to understand business requirements and provide data-driven solutions. Effectively communicate findings and insights to both technical and non-technical stakeholders. Preferred candidate profile Proven experience in data science, data analysis, and predictive modeling. Proficiency in Python programming, data manipulation, and relevant libraries. Strong experience with data visualization tools (We prefer Power BI). Knowledge of ETL processes and pipeline creation. Familiarity with machine learning techniques and frameworks. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience with SQL and database management. Knowledge of CANBus protocol is a plus

Role & responsibilities We are seeking a talented and self-motivated Data Science and Analytics Individual Contributor to join our Vehicle Technology team. This role is perfect for a highly skilled professional who excels in data science, data visualization, Python programming, and the creation of data pipelines for ETL (Extract, Transform, Load) processes. The individual in this position will play a pivotal role in shaping our data-driven decision-making processes and contributing to the success of the company. 1. Data Analysis and Exploration: Conduct thorough data analysis to uncover actionable insights and trends. Collaborate with cross-functional teams to define data requirements and extract relevant data. 2. Data Visualization: Create visually compelling and informative data visualizations using tools like Tableau, Power BI, or Python libraries (e.g., Matplotlib, Seaborn). Develop interactive dashboards to present insights in an accessible and understandable manner. 3. Machine Learning and Predictive Modeling: Build, validate, and deploy machine learning models to solve business problems and predict outcomes. Optimize and fine-tune models for accuracy and efficiency. 4. Python Programming: Develop and maintain Python scripts and applications for data analysis and modeling. Write clean, efficient, and well-documented code for data manipulation and analytics. 5. ETL Pipeline Creation: Design and implement ETL pipelines to extract, transform, and load data from various sources into data warehouses. Ensure data quality, consistency, and accuracy within ETL processes. Enforce data governance best practices to maintain data quality, security, and compliance with industry regulations. Collaborate with IT and Data Engineering teams to optimize data storage and access. Work closely with cross-functional teams to understand business requirements and provide data-driven solutions. Effectively communicate findings and insights to both technical and non-technical stakeholders. Preferred candidate profile Proven experience in data science, data analysis, and predictive modeling. Proficiency in Python programming, data manipulation, and relevant libraries. Strong experience with data visualization tools (We prefer Power BI). Knowledge of ETL processes and pipeline creation. Familiarity with machine learning techniques and frameworks. Strong problem-solving skills and attention to detail. Excellent communication and teamwork abilities. Experience with SQL and database management. Knowledge of CANBus protocol is a plus

Looking for Siemens Eda Ambassadors: Member Of Technical Staff Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. We Are Not Looking for Superheroes, Just Super Minds Weve got quite a lot to offer. How about you? Qualifications: Youre a Graduate / Postgraduate (Bachelors/Masters) in EEE) / ECE/Computer Science (CS) from top reputed Engineering colleges with significant experience in software development. Experience in EDA will be a great plus. Your sound understanding of C/C++ languages, design patterns along with data structure and algorithms will be key to development of software. Your good knowledge of Graph will enhance the development time. Must have ability to understand complex products, solutions, and problems Self-motivated, self-discipline, with high integrity Team person who is easy to talk to This role is in Noida, where youll get the chance to work with teams impacting entire cities, countries and the craft of things to come. This is dynamic environment where the learning curve is very high.

company name=Apptad Technologies Pvt Ltd., industry=Employment Firms/Recruitment Services Firms, experience=5 to 10 , jd= Job Title:-SAP CO Product Cost ControllingJob Location:- KolkataJob Type:- Full-Time:- Apptad is looking for SAP CO Product Cost Controlling Profile. It is a full-time/long-term job opportunity with us. Roles & Responsibilities: - Expected to be an SME - Collaborate and manage the team to perform - Responsible for team decisions - Engage with multiple teams and contribute on key decisions - Provide solutions to problems for their immediate team and across multiple teams - Lead the effort to design, build, and configure applications - Act as the primary point of contact for the project - Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP CO Product Cost Controlling - Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity, Title=SAP CO Product Cost Controlling, ref=6566364

The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard s efforts to build a more inclusive and sustainable digital economy MEI was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the company s product suites About the Role We are looking for an economic analyst to engage in on-soil data analytics and economic research for the European region. This individual will report to the Manager, Economist, U.S., and will have the following responsibilities: Support client and stakeholder engagements for MEI across U.S. Support collaboration with external clients, academic institutions, and industry partners. Develop and test hypotheses at the intersection of economics and retail and commerce. Assist in structuring work at the stream or small project level. Identify creative analyses and develop proprietary diagnostic indices by analyzing large and complex datasets, including big data and macroeconomic data Generate initial insights to help create effective, impactful, and quality-assured storylines and visuals at the stream or small project level. Synthesize analyses into clear, sound recommendations. Outline and help write reports and draft client presentations at the work stream or project level. Enhance existing products and partner with internal stakeholders to create new solutions. Proactively seek new knowledge and structure project work to facilitate the capture of intellectual capital with minimal oversight Actively participate in new solution development and support thought leadership activities by building knowledge, know-how, and best practices related to R&C economic research; share and leverage to continuously improve quality and productivity. All About You Bachelors degree in Economics (preferred), Statistics, or Mathematics. Proficiency in SQL and data visualizations Ability to think critically and problem solve, willingness to learn Excellent communication Expertise in R, Python, or other major programming language is essential Experience using data visualization tools like Tableau / Power BI. Knowledge of JavaScript for visualization is a plus. Proficiency in key econometric and statistical techniques such as predictive modeling, logistic regression, survival analysis, time series modeling, design of experiments, decision trees, and data mining methods desirable

Educational Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Science,Bachelor Of Comp. Applications,Master Of Technology,Master Of Engineering,Master Of Comp. Applications,Master Of Science Service Line Engineering Services Responsibilities Master's degree in Computer Science, Statistics, Mathematics, or a related field. 3+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees Additional Responsibilities: Good knowledge on software configuration management systems Strong business acumen, strategy and cross-industry thought leadership Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management Technical and Professional : Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD). Experience with data warehousing and data lakes solutions like BigQuery or Snowflake. Familiarity with real-time data processing and streaming analytics. Passion for learning and staying at the forefront of data science and machine learning advancements. Preferred Skills: Technology-Analytics - Techniques-Cluster Analysis Technology-Analytics - Techniques-Decision Trees Technology-Analytics - Techniques-Linear Regression Technology-Machine Learning-Python

Building and maintaining systems for extracting, pre- processing and modelling for different data streams, as well as integrating data across different sources. Expertise in visualizations and data analysis. Creating predictive and prescriptive models that could have a positive impact on the business. Integrating data engineering and modelling algorithms/techniques and solutions into the backend systems Develop model monitoring infrastructure for periodic monitoring and upgradation of data science strategies and models Building & implementing state-of-the-art deep learning models. Working with various stakeholders to identify and capitalize on opportunities to leverage data to drive business solutions. R Programming / Python Scripting / SQL; Experience in Finance, R-Studio/Shiny. Experience 5 - 7 Years . Industry IT Software - Application Programming / Maintenance Qualification B.E Key Skills Data Analyst R Programming Python R Programmer

This role involves the development and application of engineering practice and knowledge in defining, configuring and deploying industrial digital technologies including but not limited to PLM MES for managing continuity of information across the engineering enterprise, including design, industrialization, manufacturing supply chain, and for managing the manufacturing data. - Grade Specific Focus on Digital Continuity Manufacturing. Fully competent in own area. Acts as a key contributor in a more complex critical environment. Proactively acts to understand and anticipates client needs. Manages costs and profitability for a work area. Manages own agenda to meet agreed targets. Develop plans for projects in own area. Looks beyond the immediate problem to the wider implications. Acts as a facilitator, coach and moves teams forward.

Essential Duties Responsibilities: o Perform basic descriptive data analysis o Implement and assess different ways of data transformation o Formulate business problems into math/statistics/machine-learning problems o Build math/statistics/machine-learning models in a scientific way o Carry out hypothesis tests in a scientific way o Do model selection and model diagnostics o Actively participate in research meetings o Support the research team by creating desired datasets Qualifications: o Good communication skills o Excellent analytical and data science skills with strong attention to detail o Good Python programmers with good knowledge of pandas/numpy/sklearn o Graduate level math and statistics knowledge is preferred o Knowledge in machine learning, NLP knowledge is a plus o Ability to communicate complex information clearly o Ability to work independently o Team player and open to new ideas

Your mission and responsibilities Drive digitalization and automation in the financial controlling and reporting processes of our IT Infrastructure Organization to provide transparency on cost structures and enable data-driven decision making across the organization. Task and responsibilities You drive the implementation a holistic IT financial management process in the global IT infrastructure organization, including assessment of the status quo, definition of processes, benchmarking, reporting, and stakeholder engagement. You own and develop the reporting framework to create transparency on cost structures, charging and allocations, consumption-driven IT costs, etc. You identify and implement digital solutions to automate controlling and reporting workflows. You support projects and services with business case calculations, make-or-buy- or insource/outsource-decisions and champion a data-driven decision-making culture. You facilitate zero-based budgeting initiatives with the corresponding stakeholders. You identify and drive cost optimization measures to increase productivity. You work closely with different stakeholders across the organization, like e.g., IT management, Finance, Procurement, Strategy as well as service/product owners and project managers. Qualifications: You have successfully completed a master's degree in business administration, business informatics, accounting or comparable. You convince through several years of experience in the implementation and operation of IT financial management processes in globally active companies, ideally at Siemens Healthineers You have very in-depth work experience in the environment of international, cross-functional teams. You have strong knowledge of financial and data analytics tools (SAP modules FI and CO, PowerBI, etc.) Additionally: To be able to operate successfully in our international working environment, you have business fluency in English and German is a plus. You have a very strong IT affinity and understanding of technologies and processes in global IT organizations. Planning and organizational skills in a global IT organization are necessary for your daily work in the efficient support of your stakeholders. You have the ability to comprehensively communicate value in the languages of IT, Finance, and Business.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Oracle Procedural Language Extensions to SQL (PLSQL) Good to have skills : Informatica PowerCenterMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while ensuring that all development adheres to best practices and standards. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in Oracle Procedural Language Extensions to SQL (PLSQL).- Good To Have Skills: Experience with Informatica PowerCenter.- Strong understanding of database design and optimization techniques.- Experience in developing and maintaining complex SQL queries.- Familiarity with application development methodologies and best practices. Additional Information:- The candidate should have minimum 5 years of experience in Oracle Procedural Language Extensions to SQL (PLSQL).- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Educational Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Science,Bachelor Of Comp. Applications,Master Of Technology,Master Of Engineering,Master Of Comp. Applications,Master Of Science Service Line Engineering Services Responsibilities Master's degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in data science and machine learning with a strong focus on model development and deployment. Expert-level knowledge of statistics, including probability theory, hypothesis testing, and statistical inference. In-depth knowledge of machine learning algorithms, including linear regression, logistic regression, decision trees Additional Responsibilities: Good knowledge on software configuration management systems Strong business acumen, strategy and cross-industry thought leadership Awareness of latest technologies and Industry trends Logical thinking and problem solving skills along with an ability to collaborate Two or three industry domain knowledge Understanding of the financial processes for various types of projects and the various pricing models available Client Interfacing skills Knowledge of SDLC and agile methodologies Project and Team management Technical and Professional : Experience with Natural Language Processing (NLP) and Computer Vision (CV) techniques. Knowledge of DevOps methodologies and practices for continuous integration/continuous delivery (CI/CD). Experience with data warehousing and data lakes solutions like BigQuery or Snowflake. Familiarity with real-time data processing and streaming analytics. Passion for learning and staying at the forefront of data science and machine learning advancements. Preferred Skills: Technology-Analytics - Techniques-Cluster Analysis Technology-Analytics - Techniques-Decision Trees Technology-Analytics - Techniques-Linear Regression Technology-Machine Learning-Python

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Apache Spark Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring the functionality and efficiency of the applications, as well as collaborating with the team to provide solutions to work-related problems. A typical day in this role involves designing and implementing application features, troubleshooting and debugging issues, and actively participating in team discussions to contribute to the development process. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Design and implement application features based on business requirements.- Troubleshoot and debug issues to ensure the functionality and efficiency of applications.- Collaborate with the team to provide solutions to work-related problems.- Stay updated with the latest technologies and industry trends.- Conduct code reviews and provide constructive feedback to improve code quality. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in Apache Spark.- This position is based at our Indore office.- A 15 years full-time education is required. Qualification 15 years full time education

Educational Bachelor of Engineering Service Line Data & Analytics Unit Responsibilities Preferred Proficiency with statistical analysis tools (e.g., SAS, SPSS, R & Python) Hands on experience in Statistical Techniques & Deep Learning such as Decision Tree, Segmentation, Logistic and Multiple Regression, and others Experience of Forecasting, Campaign Management andCustomer Segmentation is desirable Strong Excel, Access and PowerPoint skills Familiarity with database query tools (SQL) Basic understanding of data warehouse architecture Understanding of various Analytical Tools, Platform & Frameworks. Technical and Professional : Data science . machine learning Good to have PySpark/Databricks Preferred Skills: Technology-Data Science-Machine Learning

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the application development process and ensuring successful project delivery. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the application development process effectively- Ensure timely project delivery- Provide guidance and mentorship to team members Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform- Strong understanding of data analytics and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on experience in implementing various machine learning algorithms- Solid grasp of data munging techniques Additional Information:- The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

The Role and Responsibilities We have open positions ranging from Data Scientist to Director, providing talented and motivated professionals with excellent career and growth opportunities. We seek individuals with relevant prior experience in quantitatively intense areas to join our team. Youll be working with varied and diverse teams to deliver unique and unprecedented solutions across all industries. In the data scientist track, you will be primarily responsible for managing and delivering analytics projects and helping teams design analytics solutions and models that consistently drive scalable high-quality solutions. Your responsibilities will include Working alongside Oliver Wyman consulting teams and partners, engaging directly with global clients to understand their business challenges Exploring large-scale data and crafting models to answer core business problems Working with partners and principals to shape proposals that showcase our data science and analytics capabilities Explaining, refining, and crafting model insights and architecture to guide stakeholders through the journey of model building Advocating best practices in modelling and code hygiene Leading the development of proprietary statistical techniques, ML algorithms, assets, and analytical tools on varied projects Travelling to clients locations across the globe, when required, understanding their problems, and delivering appropriate solutions in collaboration with them Keeping up with emerging state-of-the-art modelling and data science techniques in your domain Your Attributes, Experience & Qualifications Bachelor's or Masters degree in a quantitative discipline from a top academic program (Data Science, Mathematics, Statistics, Computer Science, Informatics, and Engineering) Prior experience in data science, machine learning, and analytics Passion for problem-solving through big-data and analytics Pragmatic and methodical approach to solutions and delivery with a focus on impact Independent worker with the ability to manage workload and meet deadlines in a fast-paced environment Impactful presentation skills that succinctly and efficiently convey findings, results, strategic insights, and implications Excellent verbal and written communication skills and complete command of English Willingness to travel Collaborative team player Respect for confidentiality Technical Background Proficiency in modern programming languages (Python is mandatory; SQL, R, SAS desired) and machine learning frameworks (e.g., Scikit-Learn, TensorFlow, Keras/Theano, Torch, Caffe, MxNet) Prior experience in designing and deploying large-scale technical solutions leveraging analytics Solid foundational knowledge of the mathematical and statistical principles of data science Familiarity with cloud storage, handling big data, and computational frameworks Valued but not required: Compelling side projects or contributions to the Open-Source community Experience presenting at data science conferences and connections within the data science community Interest/background in Financial Services in particular, as well as other sectors where Oliver Wyman has a strategic presence

Responsibilities Should act as a business analyst with technical expertise who is the main contact from business users including Financial Risk I.e. Credit, Market etc. Elicit the functional and non-functional requirements from the business stake holder the and manage those requirements through development, test, UAT and post-implementation support, including maintaining traceability to high level requirements and business processes. Good understanding of Risk application and should also have understanding of business flow within other upstream or downstream application. Should have working knowledge on any risk applications like SaS Should be able to understand and remediate any gaps in application and if required should be able to independently lead the discussions with business teams. Engage with business users to understand their requirements or should be able to translate the functional requirements into Technical Design Document. Supporting the preparation of training material and supporting users through user acceptance testing. Implement and follow best industry practices ensuring that designs/solutions are both efficient and sustainable Must have Experience Minimum 10-15 years of experience in banking and/or financial services IT Knowledge and experience in the area of risk modelling Participated in the implementation of sophisticated financial/risk models in live operating environments Experienced in designing and delivering complex solution for Banks and financial institutions Excellent stakeholder management skills Experience with lending, credit, and/or special asset risk management Experience with business analysis methodologies and applicable IT architectures; Should have strong communication and presentation skills. Flexible and constructively critical attitude, strong analytic mind-set, result oriented Experience in agile environment Knowledge of developing and designing analytical solutions and models in Base SAS, Advance SAS, SAS/SQL will be a plus.

Immediate Openings on Data scientist _ Bangalore_ Contract Experience 7+ Years Skill Data scientist Notice Period Immediate Employment Type Contract Work Mode WFO/Hybrid Classic time series analysis tools Machine learning models Python R coding SQL coding