1143 Statistical Modeling Jobs - Page 23

Role & responsibilities Proficient in Excel, SQL, Python/R, and data visualization tools (Power BI, Tableau). Familiarity with SAP modules, KM dashboards, and IoT data sources. Knowledge of predictive modeling, statistical analysis, and machine learning techniques. Exposure to Industry 4.0 concepts, including CBMS and digital twins. Hands-on experience with scripting and automation of reports. Provide training and support to users on data interpretation, dashboard usage, and analytics tools. Preferred candidate profile Prefer candidates from manufacturing background or doing any project for manufacturing industry i.e Pharma, FMCG, cosmetic, chemical, etc. Candidate must have done B.tech in chemical, Instrumentation, Mechatronics field .

Position Specific Responsibilities: The Head of Model Risk Management India is responsible for management of the MoRM department located in India. This includes the application of validation standards to model validation performed by the Model Risk Management function based in India. Strategy: Defines the people strategy for MoRM India, including management, recruiting and retention and implementation of measures to operate within relevant scorecard metrics; Agrees Book of Work applicable to MoRM India with Model Risk Managers and Global Head of Governance, Control, & Analytics. Risk Management: Oversee validation of models in scope, including (for new models and periodic review of existing models): - Specifying and implementing validation testing across, validation documentation, and validation outcomes; - Assessing whether models are performing as expected, in line with their design objectives and intended scope and purpose, and working with model developers, Senior Model Users, and Model Owners to improve models, where required; - Provision of documented decision of the appropriateness of a model for its intended purpose, advising on conditions for use, limitations, and findings where appropriate; - The issuance of Validation Findings and subsequent review for closure following model developers and Model Owners submission; Providing regular monitoring and oversight of the models in scope to enable model risk is kept within the set appetites and limits and supports model risk governance related activities; Overseeing the remediation of internal and regulatory findings relevant for the covered models areas. Operations: Oversees the management and maintenance of operations in MoRM India, including the design and implementation of its operating model and people management; Oversees the development, implementation, and maintenance of the Model Risk control framework in India to ensure both internal and regulatory compliance, delivering remediating action where gaps in the control framework are identified; Contribute to framework enhancements across the department. 3. General Responsibilities The general responsibilities set forth below apply in respect of the particular area of competence, i.e. are generally limited to the scope of the respective Unit on the one hand, and to the regional coverage of the position on the other hand. Complies and procures compliance with applicable laws and regulations, taking particular account of compliance with applicable corporate and banking laws and regulations as well as compliance with anti-money laundering, anti-corruption, anti-fraud and anti-market manipulation rules, embargo requirements and any other rules aiming at preventing any kind of other criminal activities as well as data protection, confidentiality and (non-)disclosure requirements. Fulfils all obligations towards supervisory authorities and accredited investigators, including any due notifications and any requirements on submission of information. Complies and endorses compliance with DB Groups internal rules in general. Defines and ensures effective implementation of relevant strategies within defined Risk Appetite and Tolerance, ensuring that the Units strategy is in line with DBs Group risk strategy and monitors deliverables and performance targets. Ensures the implementation of Policies and Procedures by and within the Unit. Acts as escalation channel, being accountable for dispute resolution and for overseeing disciplinary processes. Ensures the Units proper and transparent organisation along the core organisational requirements as laid out in DBs Internal Corporate Governance Policy, and in particular also taking account of applicable segregation requirements and avoiding/ addressing conflicts of interest. Manages risks and oversees controls in respect of risk types which fall within the remit of the Unit by way of implementing and maintaining an adequate and effective risk management, including identification, assessment and management (incl. control, monitoring and reporting) of risks. Represents the Unit towards internal/ external stakeholders; maintains and fosters internal and external key (business) relationships. Ensures the remediation of issues and is accountable for delivery of Units remediation actions. Drives collaboration and trust-based relationships both within the Unit as well as across Units. 4. Responsibilities in the matrix Ensures proper information flow to all dimensions of the matrix (Unit, country and entity) and notifies in a timely manner the appropriate representative(s) of these dimensions on (intended) actions or decisions which may have a material impact on their operations. Involves Country Management in the decision-making processes, to the extent the respective decisions have a material impact on the respective country and in line with need to know and further confidentiality/ information restriction requirements. 5. Leadership Responsibilities Sets clear direction for the team in line with overall business strategy balancing both global and regional priorities. Manages performance systemically by considering delivery, behaviour and conduct in equal measure, setting and communicating clear role expectations and qualitative and quantitative priorities, promoting individual accountability and removing impediments to success. Ensures team members have regular and meaningful performance and career development discussions giving and listening to feedback. Holds direct reports accountable for systems, processes and control management practices which are efficient, cost-effective and in line with Bank standards and regulatory expectations. Ensures team decision-making processes are timely and place precedence on long-term considerations and client needs over the short term. Ensures each direct report has sufficient time and skills to perform the correspondent role and proactively manages and mitigates potential conflicts of interests. Proactively manages performance and business practices to ensure alignment with the Bank's goals, values and code of conduct and is clear on how to take action to ensure appropriate positive outcomes and negative consequences for individual employees. Builds capability for the future by prioritizing succession planning, continuous development of people and the mobility of high potentials within the team. Brings diverse teams together to collaborate on topics to achieve optimal ideas and recommendations. Creates an inclusive, open and speak up culture where team members are encouraged to express views and raise concerns. Acts as an escalation channel for the Group's benefit by ensuring matters are referred to the appropriate function within the Bank (i.e. HR, Compliance, AFC, Legal).

Job Title: Software Development Engineer Location: Bangalore, India Corporate Title: AVP Role Description At DB Investment Bank, Origination & Advisor group, we are aiming to build the next generation of systems around customer relationships, advisory, industry cross-references, data analytics all of which are extremely critical for Investment Banking growth. We aim to build products that provide seamless user experience, analytics driven and future proof. As an engineer at DB, you get to build products in the areas of search, analytics and full-stack for all of DBs international customers. You also get an opportunity to move to other groups of DB and also travel internationally to get an international working exposure Your key responsibilities Developing prototypes quickly Building full-stack applications Build REST APIs and ensure they follow OpenAPI standard Build front-end WebApp applications in React/Angular Follow proper software design guidelines of Git commits, CI/CD, unit testing & cloud deployment Your skills and experience A na l y tical skil l s Right attitude towards problem solving along with communication & learning skills will always scores better Any school projects, contribution to Open Source projects would add huge advantage (dont forget to add links) A solid foundation with strong competencies in data structures, algorithms, and software design. Has product development experience and brings in the ability to fail fast Minimum qualifications: Bachelor's degree in any of the Engineering streams of Computer Science, Statistics, Mathematics, Electrical electronics, Programming experience in Python, NodeJS, ReactJS Experience building Machine Learning (ML) models, statistical model is added advantage Preferred qualifications: Have a good grasp on software engineering concepts - SDLC, Algorithms, Data Structures, Operating system, OOPS, database concepts, testing concepts Full stack developer with experience in ReactJS, NodeJS and REST API development Should have the ability to build UI applications for desktop

As a global leader in e-commerce risk management, we are revolutionizing how digital commerce remains secure and trusted worldwide. Our innovative approach combines technology with commitment to customer safety, setting new industry standards in fraud prevention. The Core Services team stands at the forefront of this mission, leveraging advanced machine learning and real-time analytics to protect millions of transactions daily. Our sophisticated platform processes billions of evaluations annually, employing innovative statistical modeling and cloud computing technologies to stay ahead of emerging security challenges. Working here means joining an elite team of engineers and scientists who are redefining whats possible in risk prevention. You will collaborate with world-class machine learning experts to develop and deploy innovative solutions that operate at unprecedented scale. We are seeking exceptional talent who share our passion for innovation and customer trust. This role offers the unique opportunity to tackle complex challenges at global scale while working with advanced technologies that protect millions of customers worldwide. Your work will directly impact the future of digital commerce, as you help build and enhance systems that set industry benchmarks for trust and safety. As the Software Development Manager, you will have technical ownership of mission critical systems that drive the program. you'll lead a talented and nimble team of managers and engineers and will define the vision for the program. You will build the team to deliver the vision. Responsibilities include direct management of a team of 8-10 engineers, process and quality of service improvements, strategic planning, project management for software within the team, and management of resources across teams. Successful candidates will be strong leaders who can prioritize we'll, communicate clearly, and have a consistent track record of delivery. 7+ years of engineering experience 3+ years of engineering team management experience 8+ years of leading the definition and development of multi tier web services experience Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations Experience partnering with product or program management teams Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Join us as a "Quant Analytics Wholesale Credit Risk Modeller ? at Barclays Quantitative Analytics Team where you'll spearhead the evolution of our digital landscape, driving innovation and excellence You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences You will be responsible for developing best in class credit risk models using industry leading model development frameworks & methodologies, work in a global quant team, with regulators across the world and cutting-edge technology You may be assessed on the key critical skills relevant for success in role, such as experience with end-to-end model development , experience on coding languages like Python OR R OR C++, as well as job-specific skillsets To be successful as a Quant Analytics Wholesale Credit Risk Modeller you should have experience with: Hands on coding experience (as a full-stack developer / agile developer etc ) Preferable language is Python, C/C++ You must have knowledge of the following in Credit Risk (Pillar 1 Probability of Default (PD), Loss Given Default (LGD), Exposure of Default (EAD), Experience in IFRS9/CECL/ CCAR can also be considered You must have stress Testing/Scenarios Modelling), Model Development and/or Model Validation (core development experience), Statistical Modelling (preferably for Wholesale credit book) This role is based out of Mumbai Purpose of the role To design, develop, implement, and support mathematical, statistical, and machine learning models and analytics used in business decision-making Accountabilities Design analytics and modelling solutions to complex business problems using domain expertise Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them Provision of ongoing support for the continued effectiveness of analytics and modelling solutions to users Demonstrate conformance to all Barclays Enterprise Risk Management Policies, particularly Model Risk Policy Ensure all development activities are undertaken within the defined control environment Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness Collaborate closely with other functions/ business divisions Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard The four LEAD behaviours are: L Listen and be authentic, E Energise and inspire, A Align across the enterprise, D Develop others OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda Take ownership for managing risk and strengthening controls in relation to the work done Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc) to solve problems creatively and effectively Communicate complex information 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience Influence or convince stakeholders to achieve outcomes All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship our moral compass, helping us do what we believe is right They will also be expected to demonstrate the Barclays Mindset to Empower, Challenge and Drive the operating manual for how we behave

At Aviato Consulting, you'll be at the forefront of innovation, building and deploying impactful AI solutions for some of Australia's largest enterprises As a Data Scientist, you'll leverage the power of Google Cloud and collaborative environments like Colab notebooks to develop, train, and optimize machine learning models that drive real business outcomes You'll be a key player in shaping our data science practice, working with diverse datasets, and directly contributing to our clients' success and our company's growth What Experience is Mandatory: Proven Data Science Expertise: Demonstrated experience in applying machine learning techniques, statistical modeling, and predictive analytics to solve complex business problems Google Cloud Platform (GCP) Proficiency: Hands-on experience with key GCP services relevant to data science, such as Vertex AI (for model training and deployment), BigQuery (for data warehousing), Cloud Storage, and Dataflow Model Training and Optimization: Strong background in the end-to-end lifecycle of machine learning models, including data preprocessing, feature engineering, model selection, training, evaluation, and hyperparameter tuning Python and Notebook Environments: Expert-level proficiency in Python for data manipulation, statistical analysis, and machine learning, with extensive experience using interactive environments like Jupyter or Google Colab notebooks for development and collaboration Working with Large Datasets: Experience handling, processing, and deriving insights from large and complex datasets, understanding data governance and security best practices Client-Facing Experience: Previous experience working directly with clients to understand requirements, present findings, and provide technical guidance What Experience is Beneficial (but Optional): MLOps Practices: Familiarity with MLOps principles and tools for automating and streamlining the machine learning lifecycle, including CI/CD for models Deep Learning Frameworks: Experience with deep learning frameworks such as TensorFlow or PyTorch Data Visualization Tools: Proficiency with data visualization libraries or tools (e g , Matplotlib, Seaborn, Looker) to communicate insights effectively What We Offer: Impactful Work & Ownership: You'll work on high-impact projects for large Australian clients, with significant autonomy and the opportunity to see your work directly influence business decisions Culture Built for Growth: Join a company founded by Ex-Googlers, fostering a culture of innovation, continuous learning, and collaboration, where your ideas are valued Shared Success: Become a part-owner of Aviato with an Employee Share Ownership Plan (ESOP) after 6 months, aligning your success with ours Rewarding Performance: Benefit from an annual bonus structure that recognizes your contributions and achievements True Flexibility: Enjoy the freedom of a fully remote work environment, allowing you to work from where you're most productive Certified Excellence: Be part of a "Great Place to Work" certified organization, reflecting our commitment to a positive and supportive employee experience Continuous Learning: We invest in your professional development, providing resources and opportunities to expand your skills and stay at the cutting edge of data science and Google Cloud technologies

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.

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.

About the Role: Grade Level (for internal use): 09 Data Scientist Location: Bengaluru The Team: The Automotive Insights - Supply Chain and Technology and IMR department at S&P Global is dedicated to delivering critical intelligence and comprehensive analysis of the automotive industry's supply chain and technology. Our team provides actionable insights and data-driven solutions that empower clients to navigate the complexities of the automotive ecosystem, from manufacturing and logistics to technological innovations and market dynamics. We collaborate closely with industry stakeholders to ensure our research supports strategic decision-making and drives growth within the automotive sector. Join us to be at the forefront of transforming the automotive landscape with cutting-edge insights and expertise. Responsibilities: Develop and implement advanced analytical models to support S&P Global Mobility's SCT and IMR business strategies. Lead projects leveraging generative AI and intelligent agents to enhance predictive capabilities and automate complex processes. Collaborate with cross-functional teams to generate data-driven insights and solutions for the automotive sectors. Design and optimize data pipelines for efficient data processing and integration across various platforms. Mentor junior data scientists, providing guidance on best practices in data analysis and model development. Required Qualifications: Bachelors or masters degree in computer science, Analytics, Data Science, Statistics, or a related field. 3 to 6 years of experience in building Machine learning or Generative AI applications Proven experience with data analysis tools such as Python, R, or SQL. Strong understanding of machine learning algorithms and frameworks. Expertise in AWS cloud services, including data storage, processing, and machine learning solutions. Experience in deploying and managing machine learning models on AWS. Familiarity with MLOps practices and tools for model lifecycle management. Knowledge of generative AI techniques and applications. Understanding of data engineering and data pipeline optimization. Soft Skills: Excellent communication skills for effective collaboration with cross-functional teams. Strong problem-solving abilities with a proactive approach to challenges. Ability to work independently and manage multiple projects simultaneously. Adaptability to rapidly changing environments and emerging technologies. About S&P Global Mobility At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow. For more information, visit www.spglobal.com/mobility . Whats In It For You Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technologythe right combination can unlock possibility and change the world.Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global. Health & WellnessHealth care coverage designed for the mind and body. Continuous LearningAccess a wealth of resources to grow your career and learn valuable new skills. Invest in Your FutureSecure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly PerksIts not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the BasicsFrom retail discounts to referral incentive awardssmall perks can make a big difference. For more information on benefits by country visithttps://spgbenefits.com/benefit-summaries Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, pre-employment training or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. ----------------------------------------------------------- Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf ----------------------------------------------------------- , SWP Priority Ratings - (Strategic Workforce Planning)

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

Educational Bachelor of Engineering Service Line Quality Responsibilities Data Science Consultant with machine learning and Python experience. Knowledge on end-to-end architecture of Data Science and machine learning project. Experience in productionizing machine learning models and guide development team for implementing machine learning use cases. The candidate should provide technology consulting for defining right Data Science and ML use cases.Responsibilities: Data collection, profiling, EDA & data preparation AI Model development, tuning & validation Visualization tools (e.g., PowerBI, tableau) Present findings to business users & project management teams Propose ML based solution approaches and estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoringguide other team members ML algorithms AI domainsNLP, speech, computer vision Supervised, Unsupervised, Reinforcement learning Tools for data analysis, auto ML, model deployment and scaling Knowledge of datasets ProgrammingPython Databases Knowledge of cloud platforms Azure/AWS/GCP. Preferred Skills: Technology-Artificial Intelligence-Artificial Intelligence - ALL

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 : Microsoft Azure IaaS 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. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are optimized for performance and usability while maintaining effective communication with stakeholders to align on project goals and timelines. 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 adherence to timelines and quality standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure IaaS.- Good To Have Skills: Experience with Microsoft Azure Windows Virtual Desktop.- Strong understanding of cloud architecture and deployment models.- Experience in managing and configuring virtual machines and networks in Azure.- Familiarity with automation tools and scripting for Azure management. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft Azure IaaS.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience: 2-4 yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other : Good communication skills, with the ability to explain technical concepts clearly. Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Advanced degree strongly preferred. * Good communication skills, with the ability to explain technical concepts clearly * Enthusiasm for learning and applying new technologies * Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment * Successful completion of Coding Assessment

Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will support AI-driven projects across the enterprise. You will apply your technical skills in AI, machine learning, and data analytics to assist in implementing data-driven solutions that align with business goals. This role involves working with team members to translate data insights into actionable recommendations. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Support the implementation and optimization of AI-driven strategies per business stakeholder requirements. Help refine data-driven methodologies for transformation projects. Data Science and AI: Design and implement machine learning solutions and statistical models, from problem formulation through deployment, to analyze complex datasets and generate actionable insights. Learn and utilize cloud platforms to ensure the scalability of AI solutions. Leverage reusable assets and apply IBM standards for data science and development. Project Support: Lead and contribute to various stages of AI and data science projects, from data exploration to model development. Monitor project timelines and help resolve technical challenges. Design and implement measurement frameworks to benchmark AI solutions, quantifying business impact through KPIs. Collaboration: Ensure alignment to stakeholders’ strategic direction and tactical needs. Work with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Contribute technical expertise to cross-functional teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Experience: 5+ yearsof experience in data science, AI, or analytics with a focus on implementing data-driven solutions Experience with data cleaning, data analysis, A/B testing, and data visualization Experience with AI technologies through coursework or projects Technical Skills: Proficiency in SQL and Python for performing data analysis and developing machine learning models Knowledge of common machine learning algorithms and frameworkslinear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks such as TensorFlow and PyTorch Experience with cloud-based platforms and data processing frameworks Understanding of large language models (LLMs) Familiarity with IBM’s watsonx product suite Familiarity with object-oriented programming Analytical Skills: Strong problem-solving abilities and eagerness to learn Ability to work with datasets and derive insights Other : Good communication skills, with the ability to explain technical concepts clearly. Enthusiasm for learning and applying new technologies Strong project management skills, with the ability to balance multiple initiatives, prioritize tasks effectively, and meet deadlines in a fast-paced environment Successful completion of Coding Assessment Preferred technical and professional experience . Education: Bachelor’s or Master’s in Computer Science, Data Science, Statistics, or a related field is required; an advanced degree strongly preferred Advanced degree strongly preferred

Design and lead the development of various artificial intelligence initiatives to help improve health and wellness of patients Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them. Define technical architecture to productize Innovaccers machine-learning algorithms and take them to market with partnerships with different organizations Proven ability to break down complex business problems into machine learning problems and design solution workflows. Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows. Work with development teams to build tools for repeatable data tasks that will accelerate and automate development cycle. Stay updated on advancements in AI/ML technologies and apply them to enhance existing systems.

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

We are looking for a skilled Modeling Analytics Specialist to join our dynamic team. In this role, you will be responsible for leveraging advanced statistical and machine learning models to analyze complex data sets. Your insights and recommendations will drive strategic decision-making and optimize business processes. The ideal candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on the high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. The candidate should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options, and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. The role must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide development opportunities, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives. Senior Process Manager Roles and responsibilities: Develop and implement predictive models, segmentation analysis, and statistical analyses to extract insights from large datasets. Apply machine learning algorithms to solve business problems and improve operational efficiency. Collaborate with cross-functional teams to identify business requirements and translate them into analytical solutions. Utilize tools such as [list specific tools, e.g., Python, R] for data manipulation, modeling, and visualization. Create and automate reports and dashboards to present findings and actionable recommendations to stakeholders. Conduct deep dives into data to identify trends, patterns, and anomalies that can inform strategic initiatives. Ensure data accuracy and integrity by validating data sources and implementing quality assurance measures. Stay updated on industry trends and best practices in modeling, analytics, and data science. Technical and Functional Skills: Bachelors degree in Statistics, Mathematics, Computer Science, or a related field (preferred) with 7+ years of proven experience in statistical modeling, machine learning, and data analysis. Proficiency in programming languages such as [specific tools you use, e.g., Python, R]. Experience with data visualization tools (e.g., Tableau, Power BI) for presenting insights and findings. Strong analytical and problem-solving skills with the ability to interpret complex data sets. Excellent communication and collaboration skills to work effectively with diverse teams.

The leader must demonstrate an ability to anticipate, understand, and act on evolving customer needs, both stated and unstated. Through this, he/she must create a customer-centric organization and use innovative thinking frameworks to foster value-added relations. With the right balance of bold initiatives, continuous improvement, and governance, the leader must adhere to the delivery standards set by the client and eClerx by leveraging the knowledge of market drivers and competition to effectively anticipate trends and opportunities. Besides, the leader must demonstrate a capacity to transform, align, energize organization resources, and take appropriate risks to lead the organization in a new direction. As a leader, the candidate must build engaged and high-impact direct, virtual, and cross-functional teams, and take the lead towards raising the performance bar, build capability and bring out the best in their teams. By collaborating and forging partnerships both within and outside the functional area, the leader must work towards a shared vision and achieve positive business outcomes. Associate Program Manager Roles and responsibilities: Lead and provide strategic direction to teams, ensuring alignment with clients business objectives Actively collaborate with the Marketing, Marketing Operations, Marketing Technology, Risk & Controls, and Automation teams to consult and facilitate the seamless execution of marketing campaigns and initiatives Collaborate with client stakeholders to shape and execute the target operating model for data operations, data engineering, and insights teams Drive revenue growth by understanding client needs, proposing innovative commercial constructs, and capitalising on upsell & cross-sell opportunities Accountable for ensuring we are recruiting a highly skilled workforce of data engineers, data analysts and data scientists to support RTB and CTB initiatives of the Client Work closely with sales and consulting teams to expand current business and explore new transformation-led opportunities Stay updated with industry trends, and champion the adoption of cutting-edge tools, methodologies, and technologies Take ownership of team deliverables, ensuring quality checks, best practices and desired outcomes are achieved on the first attempt. Understand project requirements and equip team members with the necessary skills and training. Technical and Functional Skills: Masters / Bachelors degree in Management / Engineering / Mathematics / Statistics or any related quantitative discipline The ideal candidate must have a minimum of 8+ years of experience in Data Management, Analytics, or Decision Science, including P&L Management responsibilities Experience working in services/consulting space, building and leading large analytics business and demonstrated success in delivering to clients across industries and domains preferably Banking and Financial Services Proven track record of building and leading high growth teams; demonstrated experience in hiring, retaining, and scaling geographically dispersed, high-performing teams Experience in collaborating, communicating, and influencing different stakeholders to drive inclusion, efficiency, and creative solutions

Immediate Openings on Data Scientist _India Experience : 5 + Skill:- Data Scientist Location : India Notice Period :- Immediate . Employment Type: Contract . Job Description: Strong problem-solving skills with an emphasis on product development. Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Experience 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 techniques. Were looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Masters in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools: Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience using web services: Redshift, S3, Spark, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Experience analyzing data from 3rd party providers: Google Analytics, Crimson Hexagon, Facebook Insights, etc. Experience visualizing/presenting data for stakeholders using different tools. Working knowledge of message queuing (Kafka or Google Pub/Sub), stream processing, and highly scalable data stores.

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.

MSCI is looking for a Data Scientist to join our Datadesk team in Hyderabad, Telangana, India . Datadesk is the go-to team for all data requirements and new vendor data on-boardings across MSCI's business units. As part of this centralized team, you'll be proficient in handling a diverse range of datasets, including Equity, Fixed Income, Crypto, Pharma, Thematic, ESG, and Private. We also manage the askData service, participate in the integration of recently acquired companies, and are early adopters of new technologies like AI, Cloud, and DSP. Your Key Responsibilities Utilize Python and frameworks like pandas, numpy, and dask to process, aggregate, and manipulate large financial datasets. Apply statistical modeling and AI techniques to improve data processing, forecasting, and decision-making. Identify opportunities for AI adoption in data processing, analytics, and decision-making. Ensure data quality, integrity, and consistency across different sources. Create presentations and reports that effectively communicate data findings to stakeholders. Take ownership of assigned tasks with minimal supervision, ensuring timely and high-quality deliverables. Your Skills and Experience That Will Help You Excel Degree in Computer Science, Statistics, Information Technology, and/or Finance . Proficiency in Python and its various frameworks like pandas, numpy, and dask . Good knowledge in statistics as well as statistical modeling for aggregating big datasets, resampling data, and explaining data. Data Visualization Frameworks like Power BI, Streamlit, or any other Python Frontend framework is a plus. Strong interest in Finance with work experience in finance and/or capital markets . Experience dealing with providers of financial data products (MSCI, Refinitiv, ICE, S&P, Factset etc.) preferred. Good communication skills (written and oral) and proficiency in creating presentations. You are an independent worker who can drive certain parts of the work with minimal oversight.

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

Description We are seeking an experienced Data Operator to join our team in India. The successful candidate will be responsible for managing and maintaining data, ensuring its accuracy and availability for various business needs. This role requires strong attention to detail and a commitment to maintaining high standards in data management. Responsibilities Enter and maintain data in databases and systems accurately and efficiently. Verify and validate data for accuracy and completeness. Generate reports and summaries based on data analysis. Assist in data cleaning and preparation for analysis. Collaborate with other departments to ensure data integrity and consistency. Skills and Qualifications Proficient in Microsoft Excel and data entry software. Strong attention to detail and accuracy. Good analytical and problem-solving skills. Familiarity with database management systems (e.g., SQL, Oracle). Basic knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus. Excellent communication skills, both verbal and written. Ability to work independently and as part of a team.