1575 Predictive Modeling Jobs - Page 12

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 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 maintaining a focus on quality and efficiency in your work. 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.- Mentor junior team members to enhance their skills and knowledge.- Continuously assess and improve application performance and user experience. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and SAP UI5.- Strong understanding of database management and optimization techniques.- Experience in developing and implementing custom reports and interfaces.- Familiarity with Agile methodologies and project management tools. Additional Information:- The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Natural Language Processing (NLP) Good to have skills : HanaMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentorship within the team to foster professional growth.- Continuously evaluate and improve existing processes and systems to enhance performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with programming languages such as Python or R for model development.- Knowledge of data preprocessing techniques and data pipeline construction. Additional Information:- The candidate should have minimum 12 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Computer Vision Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these solutions effectively into existing systems and pipelines. 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.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing and mentoring within the team to enhance overall performance.- Continuously evaluate and improve existing processes and systems to optimize efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of various machine learning algorithms and their applications.- Experience with cloud-based AI services and deployment strategies.- Familiarity with data preprocessing and feature engineering techniques.- Ability to work with frameworks such as TensorFlow or PyTorch. Additional Information:- The candidate should have minimum 12 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Machine Learning Good to have skills : NAMinimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing complex data sets, deriving insights, and presenting findings to stakeholders to support informed decision-making processes. Roles & Responsibilities:- Expected to be a Subject Matter Expert with deep knowledge and experience.- Should have influencing and advisory skills.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate workshops and training sessions to enhance team capabilities in AI and machine learning.- Continuously evaluate and improve existing AI and machine learning models to ensure optimal performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of data preprocessing techniques and feature engineering.- Experience with various machine learning frameworks such as TensorFlow and PyTorch.- Ability to implement and optimize algorithms for predictive modeling.- Familiarity with cloud platforms for deploying machine learning models. Additional Information:- The candidate should have minimum 15 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

We are looking for a Data Scientist who will support building AI tools for customers The candidate should be skilled at using large data sets to find opportunities for product and process optimization The candidate must have a proven ability to drive business results with their databased insights The candidate must be comfortable working with a wide range of stakeholders and functional teams Primary Skills Python, AI, ML (Machine Learning) Gen AI Generative AI + RAG, NLP, LLM, Deep Learning, Computer Vision, AWS, Cloud Or Azure Open AI (Any Cloud) Experience- 5 to 16 Years Location - Pune If anyone is interested please share your updated resume on my email id - Devyani.Pillai2@ltimindtree.com

As a MLOps Engineer/Data scientist, you will play a pivotal role in CEVA LogisticsGlobal IT Data & Digital organization, reporting directly to the Global IT Data & Digital BI & Advanced Analytics AI & Data Science Manager This hybrid role combines the expertise of data science with operational practices focused on the industrialization and deployment of AI and machine learning solutions at scale You will collaborate with cross-functional teams in IT, Corporate Support Functions, Business Development, and Operations to drive the development and industrialization of machine learning models Your work will ensure that AI-driven insights and use cases are seamlessly integrated, scalable, and continuously optimized to provide ongoing value to CEVA Logistics and its customers This position requires expertise not only in data science and machine learning but also in the processes that turn innovative solutions into robust, enterprise-grade systems WHAT ARE YOU GOING TO DO Expertise in data science and machine learning techniques with experience in designing, building, and deploying models to solve business challenges Proficiency in industrializing use cases, focusing on turning proof-of-concept models into full-scale, production-ready AI solutions that are both scalable and sustainable Hands-on experience with MLOps tools and technologies (such as Kubernetes, Docker, Jenkins, MLflow, TensorFlow, etc) for automating the deployment, monitoring, and maintenance of machine learning models Strong experience with cloud platforms (AWS, Google Cloud, Azure) and modern deployment architectures for AI/ML workloads Advanced proficiency in Python, SQL, and experience with big data technologies to work with large datasets Strong understanding of model governance, model monitoring, and model retraining to ensure AI solutions deliver consistent and ongoing business value Ability to work collaboratively across cross-functional teams to ensure smooth transitions from development to deployment and operationalization Excellent communication skills to explain complex technical concepts to non-technical stakeholders and influence business strategies through AI-driven insights WHAT ARE WE LOOKING FOR A minimum of 5 years of professional experience with proven results in AI, Data Science & MLOps Masters degree in computer science, Data Science, Engineering, Mathematics, or a related field Advanced certifications in AI, Data Science, Machine Learning, or MLOps would be plus Proven ability to collaborate effectively with cross-functional teams, including business stakeholders, IT, and operations, to translate business needs into technical solutions Strong written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences Technical Expertise: Data Science: Solid understanding of machine learning algorithms, statistical methods, and predictive modeling Proficiency in Python and libraries such as TensorFlow, Keras, scikit-learn, XGBoost, and PyTorch MLOps: Hands-on experience implementing MLOps practices for model deployment, automation, and continuous integration/continuous delivery (CI/CD) Familiarity with tools like MLflow, Kubeflow, Jenkins, Docker, Kubernetes, and Terraform for automating machine learning pipelines Data Integration & Management: Proficient in using Snowflake for data integration, storage, and processing at scale Experience with Dataiku for creating and managing end-to-end data science workflows Big Data Technologies: Familiarity with big data platforms and tools to process and analyze large datasets Data Visualization & Reporting: Expertise in using Qlik Sense, Streamlite, or other BI, webapp & data visualization tools for developing interactive and insightful dashboards and reports to communicate complex results to non-technical stakeholders Model Development & Industrialization: Experience in transitioning machine learning models from prototype to production at scale, ensuring robustness, scalability, and reliability in real-world applications Familiarity with best practices in model versioning, testing, monitoring, and retraining to maintain model accuracy and performance over time Cloud Platforms: Strong experience with cloud-based platforms like AWS, Google Cloud and Azure for deploying, managing, and scaling AI/ML models Collaboration & Communication: Proven ability to collaborate effectively with cross-functional teams, including business stakeholders, IT, and operations, to translate business needs into technical solutions Strong written and verbal communication skills, with the ability to explain complex technical concepts to non-technical audiences Problem Solving & Innovation: Strong analytical and problem-solving skills, with a creative mindset for leveraging AI and machine learning to solve business problems and drive innovation Ability to stay up to date with the latest developments in AI, machine learning, and MLOps, and apply cutting-edge techniques to business challenges Soft Skills: Self-motivated, adaptable, and able to thrive in a fast-paced and dynamic work environment Strong attention to detail with a focus on quality, accuracy, and reliability in all work Effective time management and organizational skills, with the ability to handle multiple projects simultaneously and meet deadlines Additional Information: This position offers the opportunity to work with both existing tools at CEVA and new, modern tools available in the Cloud, leveraging our newly developed CEVA Data Platform The role requires a proactive individual with a strong commitment to driving data-driven strategies and solutions within the organization WHAT DO WE HAVE TO OFFER With a genuine culture of recognition, we want our employees to grow, develop and be part of our journey You have access to the CEVA academy for training You receive healthcare benefits, reimbursement of the transportation card (50%) and meal vouchers for each working day We are a team in every sense, and we support each other and work collaboratively to achieve our goals together It is our goal that you will be compensated for your hard work and commitment, so if youd like to work for one of the top Logistics providers in the world then lets work together to help you find your new role

As an Associate Economics Analyst at Mastercard Economics Institute (MEI) in North America (NAM), you will play a crucial role in supporting the lab's mission of driving economic thought leadership to foster a more inclusive and sustainable digital economy. Established in 2020, MEI focuses on analyzing economic trends from a consumer perspective to provide customized insights on economic issues for customers, partners, and policymakers. The team, comprising economists and data scientists, leverages anonymized and aggregated data from the Mastercard network along with public data to deliver impactful insights through various channels such as presentations, global leadership, media engagement, and commercial projects using the company's product offerings. Your responsibilities will include collaborating with stakeholders across NAM, engaging with external clients, academic institutions, and industry partners, and conducting economic research and data analytics for the European region under the guidance of the Vice President, Lead Economist, NAM. You will be involved in hypothesis development at the intersection of economics and retail, creating proprietary diagnostic indices from large datasets, and deriving actionable insights to enhance existing products and develop new solutions. Additionally, you will contribute to thought leadership activities by sharing knowledge, best practices, and supporting new solution development in the realm of economic research related to retail and commerce. To excel in this role, you should hold a Bachelor's degree in Economics (preferred), Statistics, or Mathematics, with proficiency in SQL and data visualizations. Critical thinking, problem-solving skills, and a strong willingness to learn are essential qualities. Expertise in programming languages like R, Python, or similar, along with experience in data visualization tools such as Tableau or Power BI, will be beneficial. Familiarity with JavaScript for visualization and proficiency in key econometric and statistical techniques will be advantageous for this position. Moreover, as a member of the Mastercard team, it is imperative that you adhere to the organization's security policies, maintain the confidentiality and integrity of accessed information, report any security breaches, and undergo mandatory security training periodically to uphold information security standards. If you are passionate about economics, data analytics, and contributing to a more sustainable digital economy, this role offers a unique opportunity to make a meaningful impact by leveraging your skills and expertise at MEI in North America (NAM).,

As a Data Science Associate Consultant at ZS, you will design, develop, and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets to help clients make better fact-based decisions. Your responsibilities will include staying updated with the latest developments in Deep Learning and AI research, implementing and fine-tuning advanced models in deep learning, collaborating with cross-functional teams to develop and deploy machine learning models in production, contributing to research projects advancing AI and machine learning, and integrating engineering principles into data science workflows. You will be expected to have a Bachelor's or master's degree or PhD in Computer Science (or Statistics) from a premier institute, along with 4-7 years of Data Science experience. Proficiency in generative AI, deep learning, statistical techniques, and programming languages such as Java/Python/R is required. Additionally, you should have knowledge of big data/advanced analytics concepts and algorithms, excellent oral and written communication skills, strong attention to detail, critical thinking, problem-solving skills, motivation, work ethic, and maturity. Exposure to Generative AI is a plus. ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. The company is committed to providing employees with a flexible and connected way of working, allowing a combination of work from home and on-site presence at clients/ZS offices. Travel may be required based on the business needs of your project and client, providing opportunities for professional growth and diverse experiences. ZS is focused on building a diverse and inclusive company where individuals from all backgrounds can bring their passions to inspire life-changing impact. The company encourages candidates to apply even if they do not meet all the requirements listed. ZS is an equal opportunity employer committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. Candidates interested in applying must possess or be able to obtain work authorization for their intended country of employment. An online application, including a full set of transcripts, is required to be considered. More information can be found at www.zs.com.,

Let s do this. Let s change the world. In this vital role you will support the delivery of emerging AI/ML capabilities within Amgens Neural Nexus program. As part of the Commercial Technology Data & Analytics team, you will collaborate with product owners and cross-functional partners to help design, implement, and iterate on a layered ecosystem passionate about DIAL (Data, Insights, Action, and Learning). Collaborate with the Commercial Data & Analytics (CD&A) team to help realize business value through the application of commercial data and emerging AI/ML technologies. Support delivery activities within the Scaled Agile Framework (SAFe), partnering with Engineering and Product Management to shape roadmaps, prioritize releases, and maintain a refined product backlog. Contribute to backlog management by helping break down Epics into Features and Sprint-ready User Stories, ensuring clear articulation of requirements and well-defined Acceptance Criteria and Definitions of Done. Ensure non-functional requirements are represented and prioritized within the backlog to maintain performance, scalability, and compliance standards. Collaborate with UX to align technical requirements, business processes, and scenarios with user-centered design. Assist in the development and delivery of engaging product demonstrations for internal and external partners. Support documentation efforts to maintain accurate records of system configurations, processes, and enhancements. Contribute to the launch and growth of Neural Nexus product teams focused on data connectivity, predictive modeling, and fast-cycle value delivery for commercial teams. Provide input for governance discussions and help prepare materials to support executive alignment on technology strategy and investment. What we expect of you We are all different, yet we all use our unique contributions to serve patients. We are seeking a highly skilled and experienced Specialist IS Business Analyst with a passion for innovation and a collaborative working style that partners effectively with business and technology leaders with these qualifications. Basic Qualifications: Doctorate degree / Masters degree / Bachelors degree with 8 to 13 years of experience in Information Systems Experience with writing user requirements and acceptance criteria Affinity to work in a DevOps environment and Agile mind set Ability to work in a team environment, effectively interacting with others Ability to meet deadlines and schedules and be accountable Must-Have Skills Excellent problem-solving skills and a passion for solving complex challenges in for AI-driven technologies Experience with Agile software development methodologies (Scrum) Superb communication skills and the ability to work with senior leadership with confidence and clarity Has experience with writing user requirements and acceptance criteria in agile project management systems such as JIRA Experience in managing product features for PI planning and developing product roadmaps and user journeys Good-to-Have Skills: Demonstrated expertise in data and analytics and related technology concepts Understanding of data and analytics software systems strategy, governance, and infrastructure Familiarity with low-code, no-code test automation software Technical thought leadership Able to communicate technical or complex subject matters in business terms Jira Align experience Experience of DevOps, Continuous Integration, and Continuous Delivery methodology Soft Skills: Able to work under minimal supervision Excellent analytical and gap/fit assessment skills Strong verbal and written communication skills Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills Technical Skills: Experience with cloud-based data technologies (e.g., Databricks, Redshift, S3 buckets) AWS (similar cloud-based platforms) Experience with design patterns, data structures, test-driven development Knowledge of NLP techniques for text analysis and sentiment analysis What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Let s do this. Let s change the world. In this vital role you will support the delivery of emerging AI/ML capabilities within the Commercial organization as a leader in Amgens Neural Nexus program. We seek a technology leader with a passion for innovation and a collaborative working style that partners effectively with business and technology leaders. Are you interested in building a team that consistently delivers business value in an agile model using technologies such as AWS, Databricks, Airflow, and Tableau? Come join our team! Roles & Responsibilities: Establish an effective engagement model to collaborate with the Commercial Data & Analytics (CD&A) team to help realize business value through the application of commercial data and emerging AI/ML technologies. Serve as the technology product owner for the launch and growth of the Neural Nexus product teams focused on data connectivity, predictive modeling, and fast-cycle value delivery for commercial teams. Lead and mentor junior team members to deliver on the needs of the business Interact with business clients and technology management to create technology roadmaps, build cases, and drive DevOps to achieve the roadmaps. Help to mature Agile operating principles through deployment of creative and consistent practices for user story development, robust testing and quality oversight, and focus on user experience. Become the subject matter expert in emerging technology capabilities by researching and implementing new tools and features, internal and external methodologies. Build expertise and domain expertise in a wide variety of Commercial data domains. Provide input for governance discussions and help prepare materials to support executive alignment on technology strategy and investment. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Master s degree with 8 - 10 years of experience in Information Systems experience OR Bachelor s degree with 10 - 14 years of experience in Information Systems experience OR Diploma with 14 - 18 years of experience in Information Systems experience Excellent problem-solving skills and a passion for tackling complex challenges in data and analytics with technology Experience leading data and analytics teams in a Scaled Agile Framework (SAFe) Good interpersonal skills, good attention to detail, and ability to influence based on data and business value Ability to build compelling business cases with accurate cost and effort estimations Has experience with writing user requirements and acceptance criteria in agile project management systems such as Jira Ability to explain sophisticated technical concepts to non-technical clients Good understanding of sales and incentive compensation value streams Technical Skills: ETL tools: Experience in ETL tools such as Databricks Redshift or equivalent cloud-based dB Big Data, Analytics, Reporting, Data Lake, and Data Integration technologies S3 or equivalent storage system AWS (similar cloud-based platforms) BI Tools (Tableau and Power BI preferred) Preferred Qualifications: Jira Align & Confluence experience Experience of DevOps, Continuous Integration, and Continuous Delivery methodology Understanding of software systems strategy, governance, and infrastructure Experience in managing product features for PI planning and developing product roadmaps and user journeys Familiarity with low-code, no-code test automation software Technical thought leadership Soft Skills: Able to work effectively across multiple geographies (primarily India, Portugal, and the United States) under minimal supervision Demonstrated proficiency in written and verbal communication in English language Skilled in providing oversight and mentoring team members. Demonstrated ability in effectively delegating work Intellectual curiosity and the ability to question partners across functions Ability to prioritize successfully based on business value High degree of initiative and self-motivation Ability to manage multiple priorities successfully across virtual teams Team-oriented, with a focus on achieving team goals Strong presentation and public speaking skills What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

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

Position Summary MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science. Role Value Proposition: We are looking for you: high performing data and analytics professional - driven by passion and purpose, to drive quality standards and support end-to-end development of actionable, high-impact AI solutions for MetLifes enterprise functions and lines of businesses across markets. This position requires hands-on experience of developing an end-to-end Machine Learning/AI solution that can be leveraged for maximum business impact through on prem /cloud in both real time and batch mode depending upon business requirements. The role would collaborate with multiple stakeholders under the guidance of Lead/Director Data scientists to develop robust, stable, and scalable advanced analytics/machine learning solutions leveraging new age methodologies/techniques. Superior problem-solving ability, curiosity, strong coding skills and attention to detail are the key success factors. Job Responsibilities Expert-level proficiency in at least one statistical tool language (R, Python) with a strong preference towards Python with excellent debugging skills Strong conceptual understanding of machine learning algorithms including linear regressions, classification algorithms, time series techniques, topic modeling etc. Good written, oral communication with ability to communicate effectively with stakeholders Basic to mid-level understanding of the insurance risk selection, underwriting practices and experience in analyzing the insurance portfolios is a plus Mentoring skills are considered as a plus Experience with Big Data platforms Hadoop (Hive, Pig, Map Reduce, HQL)/Spark/H2O-Linux environment is considered as a plus Experience in technologies like Azure and advanced analytics concepts like Simulation, Deep Learning etc. are considered as a plus Knowledge, Skills and Abilities Bachelors degree in a quantitative field required; Masters or PHD preferred 5-8 years of experience in insurance analytics, data science or similar function Work with Lead Data Scientist to translate given business problem into analytical use-cases with defined outcomes Collaborate with Data Scientists to develop, implement and test most appropriate algorithms for a given use-case; be able to review the work of data scientists and provide guidance Translate statistical analysis to insights and recommendations and work with Data Engineers to automate / production Alize them Ensure coding standards as well as designing standards to ensure reusability Drive innovation by enhancing existing solutions and designing new ones Build collaboration and awareness in the global analytics community

The main purpose of this role is to maintain good data health and analytics practices in the company- This role would help the company adopt data-driven decision-making in all its functions- Key Performance Indicators Standardizing data practices for the company, creating dashboards and providing insights Key Responsibilities Gathering unstructured data from different departments in the company, collating and maintaining a data warehouse Building comprehensive reports and guiding different departments such as sales, marketing, supply chain and finance by identifying trends, formulating and testing hypotheses from data and providing actionable insights End-to-end problem solving for the business, right from identifying gaps/opportunities to proposing innovative changes Always supporting key functions by responding to ad-hoc data/dashboarding requests Potential future responsibilities: using sophisticated statistical techniques to solve business problems (predictive modelling, optimization algorithms, etc-) Experience & Qualification Preferred: 0-1 years of experience working on data manipulation (R, Python or similar), data visualisation (Power BI, Looker, etc) Mandatory: MS Excel, SQL Strong Problem Solving and Analytical Thinking

We are seeking a seasoned Data Analyst with a proven background in renowned analytics firms such as MuSigma, EXL, Fractal, or similar- This role requires a deep analytical mindset, problem-solving prowess, and the ability to unravel meaningful insights from data- You will work individually (reporting to Sales Strategy) and collaborate closely with Presales team, leverage complex data sets, and contribute to data-driven strategies that drive Lodha Groups Presales team s success- Responsibilities: Market Intelligence (Pre-Sales): Collaborate with Pre-Sales, Sales and Marketing teams to understand customer behavior, preferences, and demand patterns to enable better sourcing Provide actionable insights derived from data analysis to enable better customer targeting Data Visualization and Reporting: Create visually compelling dashboards, reports, and presentations using tools like Tableau, Power BI, etc-, to convey complex insights to stakeholders Craft intuitive visualizations to support strategic discussions and presentations Predictive Modeling: Design, validate, and refine predictive models to anticipate market trends, and customer preferences- Employ advanced analytical techniques to drive actionable insights from historical and real-time data- Data Quality Initiatives: Contribute to data cleansing, transformation, and quality enhancement initiatives-

Head of Data Science Experience: 12+ years Salary: Competitive Preferred Notice Period : Within 30 Days Opportunity Type: Hybrid (Bengaluru) Placement Type: Full-time (*Note: This is a requirement for one of Uplers' Clients) Must have skills: Data Science OR Subject Matter Expertise AND Industrial Software OR Oil & Gas, Power, or Chemicals AND SaaS UptimeAI (One of Uplers' Clients) is looking for: About UptimeAI: UptimeAI is leading the way in predictive analytics and AI-driven solutions to optimize operational uptime and reduce downtime for industrial and enterprise clients. Our innovative platform harnesses cutting-edge data science to deliver actionable insights, ensuring maximum efficiency and reliability. UptimeAI uniquely combines Artificial Intelligence with Subject Matter Knowledge from 200+ years of cumulative experience to explain interrelations across upstream/downstream equipment, adapt to changes, identify problems, and give prescriptive diagnosis like a human expert would. Role: Head of Data Science Industry Subject Matter Expertise (SME) Oil & Gas / Power Location: Bangalore, India Experience: 15+ years Department: Data Science Role Overview: We are seeking a highly experienced Data Science Leader with strong domain expertise in Oil & Gas, Power Generation, or Process Industries, combined with deep exposure to Data Science, AI/ML, and Industrial Software. The ideal candidate will play a critical role in shaping and guiding the development of data-driven B2B SaaS solutions for industrial applications, leveraging deep operational insight and advanced analytics. Key Responsibilities: Lead AI/ML teams to design solutions that align with real-world industrial use cases Provide domain expertise and strategic guidance in Oil & Gas, Power, or Chemicals to product, engineering, and data science teams Define product requirements and influence roadmap based on domain knowledge and market needs Serve as a thought leader in industrial IoT, predictive maintenance, asset management, and reliability engineering Support GTM teams in customer discussions, industry presentations, and positioning of the product offering Lead knowledge transfer, training, and mentoring for internal teams on industry-specific processes and pain points Qualifications: 15+ years of total experience, with at least the last 5 years in a senior leadership role leading Data Science initiatives. Mandatory: Extensive experience in manufacturing operations within Oil & Gas, Power Generation, or Chemicals Proven track record in developing and launching B2B SaaS products for industrial environments Strong understanding of industrial IoT, predictive analytics, Process Optimization, machine learning, and digital transformation Hands-on experience with Data Science / AI / ML teams Familiarity with industrial asset management, maintenance operations, and reliability engineering Excellent communication skills with the ability to bridge the gap between business and technical stakeholders Preferred: MBA or relevant advanced technical degree (e.g., Engineering, Data Science, Operations Research) Nice to Have: Global exposure across different geographies and regulatory environments Prior experience working with digital twins, SCADA, CMMS, or EAM systems Published thought leadership or public speaking experience at industry forums Why to join UptimeAI: Impact Industry-Wide Change: Contribute to transformative solutions that significantly improve operational efficiency and reliability for global clients. Collaborative and Growth-Oriented Environment: Join a talented, passionate team that values innovation, continuous learning, and professional growth. Opportunities for Leadership and Innovation: Lead pioneering projects, influence product development, and shape the future of industrial AI solutions. How to apply for this opportunity? Easy 3 Step Process: Click On Apply and register or log in to our portal Upload updated Resume & complete the Screening Form Increase your chances of getting shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Company: Oliver Wyman Description: About The Role Job Title Actuarial Intern Life Office/Regions available: Bengaluru , Gurugram As an Actuarial Intern , you will work alongside and learn from Oliver Wymans industry leaders and other experienced consultants while contributing to a broad range of client projects. You will gain industry exposure with Oliver Wymans clients, which include top tier insurance companies, reinsurance companies, investment banks, law firms, state regulators, and private equity firms. Potential projects may include: Actuarial model development of Life and Annuity products, valuation, and analysis support Supporting the transformation of pre and post actuarial model data and processes, including systems and financial reporting integration, analytics, and workflow Assisting with actuarial model conversions and optimization Perform Actuarial model testing and validation Client and industry presentations, surveys, case studies and marketing support Supporting development and maintenance of intellectual capital Qualifications and Desired Skills Currently pursuing or having recently obtained a Bachelors or Masters degree, ideally in Actuarial Science, Mathematics, Statistics, Finance, or a related field Commitment to passing actuarial exams Desire for rapid learning, high performance, and professional growth Strong written and oral communication skills Excellent time management skills Understanding of the value of collaboration, and the ability to work effectively in a team setting Deep critical-thinking skills and problem-solving ability Highly motivated individual and willingness to work in a dynamic environment Exposure to MS Excel, MS Access or other database software, with VBA or other programming languages experience Why Work for Us Oliver Wyman seeks to invest in its people by fostering a safe and inclusive environment, respecting and welcoming different perspectives, promoting an ownership culture, providing opportunities for individuals to develop their personal brand, and celebrating successes and rewarding performance. Oliver Wyman offers a performance-based pay program that rewards colleagues for the contributions they make to our business results, including year-end bonuses based on personal and corporate performance. We also offer an impressive array of benefits. For more information, please visit our website at www.oliverwyman.com/actuaries. About Oliver Wyman Follow Oliver Wyman on X @OliverWyman. Marsh & McLennan Companies and its Affiliatesare EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. The Actuarial Practice of Oliver Wyman advises clients across a broad spectrum of risk management issues. We are a rapidly growing group with offices expanding across the globe. Our actuaries hold the highest professional qualifications and are nationally recognized as experts in their field(s). We use mathematical and statistical modeling skills and our qualitative assessment methodologies to assist clients in evaluating and addressing risk. Our solutions help clients manage and prepare for the potential financial consequences of uncertain future events. We bring a combination of broad-based expertise with specialized knowledge of specific risks, allowing us to provide independent, objective advice in the three primary areas of riskhealthcare, life and annuity, and property and casualty. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

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

Company: Oliver Wyman Description: Oliver Wyman DNA team is now looking to hire a Lead Data Analytics Specialist based in our Hyderabad office. OW DNA Overview The Oliver Wyman DNA is a distinguished center of excellence for business analytics and data analytics within Oliver Wyman. This group leverages data and information to provide business insights to Oliver Wyman consulting teams driving positive outcomes and tangible impact for Oliver Wymans clients. The group combines cutting edge data science expertise with core consulting expertise to augment engagement teams with analytical firepower to deliver outstanding results. Key Responsibilities: Serve as the primary analytical resource for client teams, building trusted relationships with key stakeholders. Collaborate with senior team members to identify risks and growth opportunities, utilizing analytical insights for client benefit. Extract and manipulate data from various sources using SQL and Python for business intelligence reporting. Engage with stakeholders to understand reporting needs and align KPIs with strategic objectives. Coordinate with stakeholders to collect, clean, and validate datasets, ensuring data integrity through coding techniques. Develop and implement data models in SQL and Python to uncover trends and enhance business performance insights. Conduct in-depth analyses with SQL and Python to provide actionable insights for client decision-making. Maintain and optimize BI reports through coding improvements to ensure accuracy and relevance. Stay updated on market trends and best practices in data analytics to enhance service offerings and quality standards. Mentor junior team members in analytical coding practices, fostering a collaborative learning environment. Education: Bachelors degree in science, Finance, Mathematics, Economics or equivalent. MS or Certificate courses in analytics preferred Experience: Over 4+ years of experience in data analytics, focused on SQL and Python coding. Proficient in data analytics tools such as SQL and Python, with a solid track record of managing complex analytical projects Strong analytical and problem-solving skills, delivering actionable insights through data modelling and analysis Excellent client-facing abilities, building relationships with senior stakeholders and influencing decision-makers. Strong written and verbal communication skills, effectively engaging with stakeholders at all levels. Adaptive learner with the ability to rapidly adopt new tools and platforms, including knowledge of Gen AI Entrepreneurial mindset with a collaborative approach to problem-solving and a commitment to mentoring and developing talent. Familiarity with creating visualizations in Power BI and Tableau is a plus. Oliver Wyman, a business of Marsh McLennan (NYSEMMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

Company: Marsh Description: We are seeking a talented individual to join our Actuarial team at Marsh Mc Lennan. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office Business Title Lead Specialist - Actuarial No. Of Roles1 LocationMumbai Last Date to Apply 18th June We will count on you to: Deliver internal and client-facing climate modelling projects within the APAC region. Contribute to the interpretation of catastrophic events within the framework of climate variability. Conduct data analysis and statistical modeling of climate trends and signals related to long-term climate change, ensuring accurate documentation of methodologies and results for a diverse range of audiences. Help organizations of all shapes and sizes access and benefit from climate risk analysis in a way relevant to their businesses. Work collaboratively in multi-disciplinary teams of engineers, actuaries, and catastrophe modelers. What you need to have: Masters degree + 2 years of work experience in the area climate modelling and/or climate risk or Ph.D., in climate risk and/or climate modelling. Advanced knowledge of current climate science research, the physical processes of climate change, global climate models, and methodologies related to CMIP, downscaling, and bias correction, including ability to work with NetCDF / raw climate data from ECMWF / reanalysis data. Demonstrated experience in integrating statistical methods with climate physical data to effectively address uncertainty. Proficiency in coding, particularly in R, Python, or any scripting language, is highly advantageous along with experience in RShiny or PowerBI for front end applications. Experience in spatial data analysis and presentation. An understanding of climate scenarios especially IPCC and NGFS would be considered a plus as would experience with econometric modeling. Ability to interact effectively with a diverse team and provide client focused insights. Exposure to consulting projects would be considered prefential Eligibility Minimum 12 months experience as Senior Specialist (C2) / Lead Specialist (D1) Should have at least On-Track or equivalent rating in last appraisal. Should not be under any Performance Counselling Plan or had any official disciplinary action within the last 3 months. Should not have applied for any other IJP in the last 3 months Disclaimer Please note that the relocation assistance shall not be provided for the said position Candidates who wish to apply for inter-location positions are required to check with the Transport Help Desk (THD) to confirm if their place of residence is within the served transport service zone Mention your employee id and official email address in the resume What makes you stand out Concepts of climate science including GCMs / RCMs and downscaling approaches. Basic concepts of statistics. Knowledge about current updates in the domain of climate risk analysis and impact of climate change in at least 2-3 sectors. Ability to communicate complex ideas effectively. Learnings from previous work experiences/academic projects. The candidate is expected to have clarity on their current career position and goals for 2-3 years. Why join our team: We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being. Guy Carpenter, a business of Marsh McLennan (NYSEMMC), is a leading global risk advisory and reinsurance specialist and broker. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businessesMarsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit guycarp.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one anchor day per week on which their full team will be together in person.

About Info Edge InfoEdge’s mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behavior, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to empower our customers. At Info Edge, people are our core competitive advantage and we will continue doing all that is needed to attract and retain the best available talent. About BU: Corporate Function – Data Science Designation: AI Scientist Desired Experience: 0-3 Year Required Educational Qualification : PhD/ M.Tech / B.Tech with relevant experience from Tier 1 Campus As AI Scientist you will: Develop algorithms and build systems to extract seemingly unseen trends and information from user content such as resumes, job description and profile information available through various sources and in different modalities such as numeric, structure and unstructured texts and images. Identify potential new business problems that can be solved through machine learning. Ideate, formulate, create metrics and execute on such problems and get buy in from business. Identify potential data-driven machine learning solutions to improve user experience through personalization and prediction of user preferences. Build intelligent systems to capture and model the vast amount of behavior data to enrich the content understanding with behavioral information. Identify the appropriate and cutting edge machine learning tools for various supervised and unsupervised tasks in the NLP, deep learning, semantic search, LTR space for building highly accurate and scalable recommendation systems and information retrieval solutions. Design solutions for scalable and real-time performance on a significantly large data set. Use big data technologies to optimally use infrastructure and improve performance. Participate in external forums /discussions, publish research papers, keep up-to-date on latest publications and build external/internal networks. Required Skills: Strong fundamental understanding and research experience in machine learning/Deep Learning/NLP/Information Retrieval/Artificial Intelligence areas. Strong applied knowledge of machine learning in solving real-world business problems with a significantly broad number of algorithms covering the landscape of classification, regression; discriminative, generative; supervised, unsupervised, semi-supervised; linear and non-linear dimensionality reduction, feature-extraction, feature selection, feature-learning. Industry experience in applying a variety of machine learning solutions to real-world large-scale data to build intelligent systems. An excellent problem solving skills with a research oriented approach. Ability to capture, manage, create pipelines and process Big Data Desired Skills: Ability to understand Business challenges and define solutions aligned to the needs. Why Join us: This is a unique opportunity to work on innovative and disruptive technologies that are shaping the future of the industry. We are looking for candidates who are willing to work passionately in a fast- paced environment and are ready to enhance their skills by learning something new. Being a part of the InfoEdge team, you will be engaged in innovations, product development, integration with mobile and social media, technology, research and development, quality assurance, sales and marketing. To learn more about Info Edge visit http://www.infoedge.in/

Salary : 30 to 45 LPA Exp: 6 to 10 years Location :Hyderabad (Hybrid) Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 5+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

A career in Information Technology will provide you with the opportunity to support core business functions by deploying applications to enhance work efficiency and deliver high levels of service to clients. You will focus on managing the design and implementation of technology infrastructure within the organization, developing client and internal-facing applications, and providing technology tools to create a competitive advantage for strategic business growth. The Information Technology Quality team oversees operational processes, including configurations, change management, incident management, and third-party supplier oversight for Information Technology operations. To stand out and excel in a constantly changing world, each individual at the organization needs to be a purpose-led and values-driven leader. The PwC Professional, a global leadership development framework, sets expectations, provides transparency on necessary skills for success, and facilitates career progression. Responsibilities as a Senior Associate include working as part of a team to solve complex business issues, using feedback for self-awareness and development, delegating tasks for growth opportunities, demonstrating critical thinking, extracting insights from industry trends, ensuring quality and accuracy of work, utilizing tools effectively, seeking diverse opportunities for growth, communicating effectively, building relationships, and upholding ethical standards. Qualifications: - Any graduation with 7-10 years of experience Joining PwC Acceleration Centers (ACs) offers the opportunity to actively support various services, engage in challenging projects, provide distinctive services, and participate in training to enhance technical and professional skills. As part of the Risk and Compliance team, you will analyze complex problems, mentor others, maintain standards, build client relationships, understand business contexts, navigate complex situations, and enhance risk management practices. Responsibilities: - Conduct gap analysis and close process gaps - Define and implement risk management processes - Mentor junior team members - Build client relationships - Develop a profound understanding of business and compliance contexts - Navigate complex risk and compliance issues - Maintain elevated standards in risk management practices - Utilize metrics and audits to enhance process quality Qualifications: - Bachelor's Degree - 5 years of experience - Oral and written proficiency in English required Experience with CMMI Level 5 standards, data analysis, predictive modeling, quality process performance objectives, various audits, risk identification and mitigation, problem-solving, troubleshooting skills, and knowledge of Six Sigma and Lean methodologies are preferred.,

As a visionary Director of Analytics, you will lead our analytics efforts to drive impactful insights and shape the future of consumer experiences. Your role will involve spearheading the use of data to inform strategic decisions across the organization. You will play a pivotal role in designing analytics frameworks, leading a high-performing team, and providing insights that contribute to business growth and customer satisfaction. Your responsibilities will include developing and executing a comprehensive analytics strategy aligned with the company's goals, overseeing the development of advanced analytical models such as predictive modeling, machine learning, and AI, and implementing state-of-the-art analytics tools for efficient data exploration and visualization. You will drive the adoption of a data-driven decision-making culture, collaborate with various teams to embed analytics into key processes, and mentor a diverse team of data analysts, business intelligence professionals, and data scientists. To excel in this role, you should possess a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field. An MBA or equivalent qualification is considered a plus. You should have at least 8 years of experience in analytics, business intelligence, or data science in consumer technology, e-commerce, or a similar fast-paced industry. Strong proficiency in data analysis, predictive modeling, statistical methodologies, data visualization tools (e.g., Tableau, Power BI), and programming languages (e.g., Python, R, SQL) is essential. Experience in integrating AI/ML models into real-world applications, building and leading high-performing analytics teams, and translating complex analytical findings into actionable business insights is required. Strong business acumen, excellent communication, and interpersonal skills are also necessary for effective collaboration with technical and non-technical stakeholders. In this role, you will have the opportunity to stay updated on industry trends and best practices to continuously enhance the analytics capabilities of the organization, providing thought leadership in leveraging AI/ML to develop innovative, data-driven products and solutions.,

As a Senior Business Analyst specializing in Wealth Management Transformation, you will play a crucial role in a dynamic team dedicated to driving strategic initiatives across various sectors such as Managed Investments, Private Markets, Portfolio Management, Investment Advisory, and Discretionary Portfolio Management. Your expertise in wealth management products and services will be instrumental in leading large-scale business analysis and transformation projects, working closely with stakeholders to identify areas for improvement, and creating detailed business requirements aligned with transformation goals. Your responsibilities will include conducting gap analyses, proposing data-informed optimizations, facilitating workshops to align strategy and execution, and delivering actionable insights to senior leadership. You will collaborate with advisors, investment teams, and IT professionals to drive end-to-end transformation projects in financial services and banking environments. Additionally, you will mentor junior analysts and foster a culture of continuous improvement within the team. To excel in this role, you should have at least 7 years of experience in business analysis, with a minimum of 3 years in wealth management or financial services. Your strong domain knowledge across various wealth management domains and proven track record in driving transformation projects will be essential. Proficiency in financial modeling, investment analysis, and tools such as Excel, PowerPoint, Visio, JIRA, and Confluence is required. Exposure to SQL, Python, and data visualization tools like Tableau, Power BI, or QlikView is highly preferred. Familiarity with Agile methodologies and excellent communication skills are also crucial for success in this position. Joining our team will provide you with the opportunity to work on mission-critical transformation projects in a globally-aligned Wealth Management platform. You will collaborate with leaders in investment strategy, advisory, and digital innovation, leveraging cutting-edge tools in financial modeling, analytics, and machine learning. We offer a supportive culture that encourages learning, leadership development, and career advancement, along with competitive compensation, work-life balance programs, and access to next-gen investment platforms. If you are a data-savvy analyst passionate about driving transformation in the wealth management domain, and eager to make a meaningful impact, we invite you to apply now and become a valuable member of our future-focused team.,

Solenis is a leading global provider of water and hygiene solutions with a diverse product portfolio aimed at enhancing operational efficiencies, product quality, and environmental impact. Headquartered in Wilmington, Delaware, Solenis operates 70 manufacturing facilities worldwide and employs over 16,500 professionals in 130 countries. At the Global Excellence Center (GEC) in Hyderabad, we play a key role in supporting Solenis" global operations by driving excellence in IT, analytics, finance, and other critical business functions. Situated in the heart of the IT hub, the GEC offers a vibrant work environment with ample career development opportunities in a stable and rapidly growing organization. Employees at GEC enjoy world-class infrastructure, including on-campus gym facilities, recreational amenities, creche services, and easy access to public transport. We are currently looking for a Sourcing Analyst to join our team at Hyderabad, India, in a full-time permanent position. The responsibilities of this role include: - Enhancing data analytics quality and establishing reporting mechanisms for spend and savings data analysis. - Developing dashboards, reports, and visualizations to convey insights to procurement teams. - Creating and maintaining KPI tracking for procurement performance evaluation. - Implementing automation and advanced technologies like AI for improved reporting. - Utilizing advanced analytics techniques such as predictive modeling, clustering, and optimization to identify value opportunities. Benefits for employees at the GEC include access to a wide range of internal and external training courses, language training, health and wellness benefits, professional development opportunities, creche facilities, company car and phone if required, and a hybrid work arrangement. Qualifications for this role include proficiency in written and spoken English, strong Excel skills, experience with data visualization tools (e.g., Power BI, Tableau, Qlik), working with large datasets, SQL or similar tools for data analysis, SAP proficiency with direct material experience preferred, and excellent communication and stakeholder management skills. At Solenis, we value diversity and inclusivity, recognizing our people as our greatest asset. We are committed to providing competitive compensation, comprehensive benefits, and abundant opportunities for professional growth and development. If you are passionate about contributing to meaningful work in a world-class organization, we welcome your application. Solenis is an Equal Opportunity Employer.,