1143 Statistical Modeling Jobs - Page 19

Job Title: AI/ML Engineer Location: Bangalore (Hybrid) Experience: 3+ years About the Role: We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation . You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities: Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment . Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models , leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate . Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon ) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions , ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications: 3+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers . Hands-on experience with LLMs, GenAI, and RAG architectures . Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms , deep learning architectures, and NLP techniques. Familiarity with cloud platforms ( AWS, GCP, or Azure ) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Nice-to-Have Skills: Experience with multi-modal AI models (text, image, video). Knowledge of MLOps tools (Kubeflow, MLflow, or Vertex AI). Familiarity with prompt engineering and fine-tuning strategies . Why Join Us? Work on cutting-edge AI projects in an innovative and collaborative environment. Opportunities for career growth and learning in the fast-evolving AI space. Competitive compensation, flexible work options, and great team culture. How to Apply: If youre passionate about AI and eager to build next-gen AI applications, wed love to hear from you!

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

Flipkart is looking for Senior Data Scientist to join our dynamic team and embark on a rewarding career journeyData Analysis: Analyze large datasets to identify trends, patterns, and correlations that can provide valuable insights for the organization's strategic decision-making process.Machine Learning: Develop and deploy machine learning models for various business applications, such as predictive modeling, classification, recommendation systems, and anomaly detection.Model Validation: Assess and validate the performance of machine learning models through rigorous testing, evaluation, and tuning to ensure high accuracy and reliability.Data Visualization: Create clear and compelling data visualizations to present complex analyses and results to both technical and non-technical stakeholders.Predictive Analytics: Utilize predictive modeling techniques to forecast business outcomes, customer behavior, and market trends to support business planning and strategy.Data-driven Decision Making: Collaborate with cross-functional teams to translate analytical findings into actionable insights and drive data-driven decision-making across the organization.Research and Innovation: Stay up-to-date with the latest advancements in data science, machine learning, and related fields, and explore new tools and techniques to improve analytical capabilities.Data Governance: Advocate for data integrity and quality, ensuring that data sources are reliable and appropriately managed, and comply with data privacy and security regulations.

We are seeking a motivated and skilled Data Scientist with 3 years of experience to join our dynamic team. The ideal candidate will have a strong foundation in machine learning, with a focus on implementing algorithms at scale. Additionally, knowledge of computer vision and natural language processing will be ideal Key Responsibilities: - Develop and implement machine learning models, offline batch models as well as real time online and edge compute models - Analyze complex datasets and extract meaningful insights to drive business decisions - Collaborate with cross-functional teams to identify and solve business problems using data-driven approaches - Communicate findings and recommendations to stakeholders effectively Required Qualifications: - Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field - 3+ years of experience in a Data Scientist role - Strong proficiency in Python and SQL - Solid understanding of machine learning algorithms and statistical modeling techniques - Knowledge of Natural Language Processing (NLP) and Computer Vision (CV) concepts and algorithms - Hands-on experience implementing and deploying machine learning algorithms - Experience with data visualization tools and techniques - Strong analytical and problem-solving skills - Excellent communication skills, both written and verbal Preferred Qualifications: - Experience with PySpark and other big data processing frameworks - Knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) Technical Skills: - Programming LanguagesPython (required), SQL (required), Java (basic knowledge preferred) - Machine LearningStrong foundation in traditional ML algorithms, and a working knowledge of NLP and Computer Vision - Big DataDeep knowledge of PySpark - Data Storage and RetrievalFamiliarity with databases/mlflow preferred - MathematicsStrong background in statistics, linear algebra, and probability theory - Version ControlGit Soft Skills: - Excellent communication skills to facilitate interactions with stakeholders - Ability to explain complex technical concepts to non-technical audiences - Strong problem-solving and analytical thinking - Self-motivated and able to work independently as well as in a team environment - Curiosity and eagerness to learn new technologies and methodologies We're looking for a motivated individual who is passionate about data science and eager to take on challenging tasks. If you thrive in a fast-paced environment and are excited about leveraging cutting-edge technologies in machine learning to solve real-world problems, we encourage you to apply! PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

Position Manager Analytics - Trust & Safety About the Team- The PhonePe TnS teamis a high impact team which makes extensive use of data, statistical and quantitative analysis, rules-based methods, and explanatory and predictive modeling to identify and mitigate the fraud, risk and abuse patterns visible on PhonePe platform focusing on the consumer perspective. Our work increasingly employs specialized competencies, such as advanced analytics, data visualization, application development, and geographical trend analysis. As a Manager PhonePeTnS team, you will be leading the major analytics projects for keeping the platform safe for the consumer as well as identify any abusive behaviour. You would also be involved in development of new products and capabilities by working closely with the product teams. If your dream is to build processes and digital tools to better understand financial transactions and identify trends that would impact millions of customers, partnering with some of the best minds and executing on your dreams with purpose and speed, join us! Roles & Responsibilities : Supervise, lead & train a team of analysts and contribute actively to team development. Work closely with the operations, Product, Tech teams Create, manage, and utilize high performance relational databases (using SQL or other analytical tool) Query and mine large data sets to discover transaction patterns, examine financial data and filter for targeted information - using traditional as well as predictive/advanced analytic methodologies Explore, ideate and develop fraud, risk and abuse detection and mitigation methodologies, validate the existing ones, and look for opportunities to optimize the existing scenario thresholds backed by data insights. Design and development of user-defined application modules using BI tools (QlikView / Tableau/ QlikSense /PowerBI etc), perform data quality control, develop database reports and user interfaces, and normalize relational data Develop analysis on business problems and prepare and present complex written and verbal materials to senior management and stakeholders. Ability to understand and follow industry best practices for Fraud Prevention. Leverage information from regulatory changes, new regulations and internal policy changes to better identify new key risk areas. Monitoring and regulating high risk activities for various PhonePe business verticals. Identify automation opportunities and suggest process improvements. Analyze the customer transactional and behavioral data to identify the patterns, trends, anomalies and develop strategies to mitigate the suspicious activity. Support the ad-hoc reporting requirements Education & Preferred Qualifications : include, but are not limited to: Bachelors in engineering or Master's degree in Management, Mathematics, Statistics or related quantitative discipline Candidate should have demonstrated experience to work with Fraud and Risk Functions, technology and analytics. (Payment Industry experience preferred) 6+ years of experience in the field of analytics preferably in identifying fraud patterns and customer risk profiling. Strong quantitative abilities, distinctive problem-solving and excellent analytics skills Strong organizational, communication, presentation and project management skills Excellent SQL and Excel skills. Should be able to write queries to manipulate and consolidate data from multiple data sources. Data analytics project experience related to one or more of the followingtransaction monitoring data analysis and system implementation, development of customer risk rating models, customer segmentation, threshold tuning, customer/account/transaction data modeling, management and quality assessment, model validation, and/or Know-Your-Customer data remediation Working experience with BI tools (QlikView / Tableau/ QlikSense /PowerBI etc) will be an added advantage Strong background in statistical modeling and experience with tools such R /SAS /Python or SPSS. Ability to work independently and to liaise with other departments and coordinate with various stakeholders (internal / external). PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

What to expect from this role: We plan to expand our risk strategy team, and we are looking for experienced risk professionals who will work on building risk strategy for our lending business. They will work in a dynamic environment, and with cross-functional teams to help manage risk while continuously supporting the business to grow. They will be expected to work on: Build Risk strategies to manage Fraud and Credit Risk for Lending business Build best in class risk models Be able to clearly communicate results and recommendations to various stakeholders Manage the overall portfolio risk and predict ECL for the portfolio Evaluate alternate data sources to solidify the risk management Work with cross-functional teams to build the anomaly detection capabilities Collaborate with Product team to build the right product to manage risk Evaluate the effectiveness of the solutions and improve upon them in a continuous manner We expect them to have a mix of a strong technical background and to have a keen eye for business implications of their work The ideal candidate for this role should : BTech/ BE from Tier-I & II colleges 1-2 years of experience in Risk Analytics preferably with FinTechs Experience in SQL, Python, MS Excel Preferably experience with Statistical modeling such as Logistic Regression, Decision Trees, Gradient Boosting models etc. Be agile and highly collaborative, communicate impressively Strong analytical acumen and problem solving Be skilled in building and managing business alliances Be highly data-driven and adept at balancing needs with business goals Thrive in a competitive and a result-oriented work environment PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy Working at PhonePe is a rewarding experience! Great people, a work environment that thrives on creativity, the opportunity to take on roles beyond a defined job description are just some of the reasons you should work with us. Read more about PhonePe on our blog. Life at PhonePe PhonePe in the news

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

: Job Title: AI Lead , VP LocationPune, India Role Description Engineer is responsible for managing or performing work across multiple areas of the bank's overall IT Platform/Infrastructure including analysis, development, and administration. It may also involve taking functional oversight of engineering delivery for specific departments. Work includes: Planning and developing entire engineering solutions to accomplish business goals Building reliability and resiliency into solutions with appropriate testing and reviewing throughout the delivery lifecycle Ensuring maintainability and reusability of engineering solutions Ensuring solutions are well architected and can be integrated successfully into the end-to-end business process flow Reviewing engineering plans and quality to drive re-use and improve engineering capability Participating in industry forums to drive adoption of innovative technologies, tools and solutions in the Bank. Deutsche Banks Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Proven ability to design, build, and deploy end-to-end AI/ML systems in production. Expertise in data science , including statistical analysis, experimentation, and data storytelling. Experienced in working with large-scale, real-world datasets for model training and analysis. Comfortable navigating urgency, ambiguity, and fast-changing priorities . Skilled at solving complex ML problems independently , from idea to implementation. Strong leadership experience building and guiding high-performing AI teams . Hands-on with deep learning, NLP, LLMs , and classical ML techniques. Fluent in model experimentation, tuning, optimisation , and evaluation at scale. Solid software engineering background and comfort working with data and full-stack teams . Experience with cloud platforms (GCP, AWS, Azure) and production-grade ML pipelines. Bias for action willing to jump into code, data, or ops to ship impactful AI products . Your skills and experience PhD in Computer Science, Data Science, Machine Learning, AI, or a related field. Strong programming skills in Python (preferred), with experience in Java, Scala, or Go a plus. Deep expertise with ML frameworks like TensorFlow, PyTorch, Scikit-learn. Experience with large-scale datasets , distributed data processing (e.g. Spark, Beam, Airflow). Solid foundation in data science statistical modeling, A/B testing, time series, and experimentation. Proficient in NLP, deep learning , and working with transformer-based LLMs . Experience with MLOps practices CI/CD, model serving, monitoring, and lifecycle management. Hands-on with cloud platforms (GCP, AWS, Azure) and tools like Vertex AI, SageMaker, or Databricks. Strong grasp of API design , system integration, and delivering AI features in full-stack products. Comfortable working with SQL/NoSQL , and data warehouses like BigQuery or Snowflake. Familiar with ethical AI, model explainability , and secure, privacy-aware AI development How well support you

: In Scope of Position based Promotions (INTERNAL only) Job Title Risk Data Validation & Control (RDV&C) LocationPune, India Corporate TitleAS Role Description Risk Data Validation & Control (RDV&C) team is responsible for quality assurance activities in relation to critical, complex and technical risks and regulatory topics that affect Deutsche Bank (DB). RDV&C are part of the Credit Risk Data Unit (CRDU) team within Group Finance and their key stakeholders include but are not limited to: Business Finance Risk Management (CRM/MRM) Group Reporting Regulatory Policy Adherence Group Production IT Support What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Completion of required month end Quality assurance controls and to validate variance Credit Risk RWA Exposure Analysis Leverage exposure regulatory metric Other reg metric like CVA, EC, EL, Calculation of the exposure wherever required and posting in relevant platforms Navigate through the complex algorithms built in the risk engine to perform root cause analysis on the exposure calculations. Ultimately the calculated output should reflect the economics of the portfolio. Data Quality proactively manage the investigation and resolution of month end issues on the regulatory metrics Liaising with relevant stakeholder for RCA and reporting Providing subject matter expertise and analytics to support Finance and the Risk team Presentation of the reg metric to senior audience across the globe Participation in CTB initiatives Optimisation Focus on the capital number Your skills and experience Good Knowledge of regulatory requirements like ECB CRR, CRD, Basel requirements Understanding of exposure calculation under different models e.g. SA-CCR and IMM Knowledge of Exposure Metrics like EPE/EE, Statistical Modelling (Monte Carlo Simulation etc.) An analytical mindset and good approach to problem solving Experience of process change Strong interpersonal and communication skills Organized and structured working approach Strong attention to detail Reliable team player who enjoys working in an international environment Preferred IT Skills: Python, Advance Excel(VBA), Microstrategy, MS Access How well support you

: Job TitleCDO/CLO Modeling Analyst LocationMumbai, India Role Description OverviewBusiness Division Deutsche Banks Corporate Bank (CB) a market leader in cash management, trade finance & lending, securities services and Trust & Agency Services. Focusing on the treasurers and finance departments ofcorporate and commercial clients and financial institutionsacross the globe, our universal expertise and global network allows us to offer truly integrated and effective solutions. OverviewBusinessTrust and Agency Service (TAS) With offices in New York, California, London, Frankfurt, Milan, Lisbon, Dublin, Hong Kong, Singapore and Tokyo, the Trust and Agency Services team at Deutsche Bank has long been recognized as a leader in the provision of administrative and fiduciary services to the global debt and equities markets. It supports structures from the simplest to the most complex, covering Asset Backed Securities, CLOs and Managed accounts, Corporate Debt, Escrows, Project Finance, Loan Agency, and Depositary Receipts. Overview Team The Trust & Agency Services (TAS) Corporate Trust Structured Finance Services business provides Trustee, Calculation Agent, Paying Agent, Custodian, and Tax Agent Services globally for all Structured Finance transactions (RMBS, ABS, CMBS, and CDO/CLOs). The Global Analytics Delivery (GAD) Group at DIPL is responsible for modelling and reporting (payment processing and tax calculations) of MBS, ABS and CDO Deals/issuances placed in the US, EMEA & Asian Capital Markets. The Asset Analytics team, which is a subgroup of GAD Group, provides analytics support to the Client Services Group in generating asset Compliance Reports relating to the CDO transactions for onward submission to the Collateral Manager/ Investors as required under the Governing Documents. The Reports need to be generated monthly and contain information about the health of the underlying collateral through reporting on compliance test results vis--vis their triggers. The successful candidate will be required to cover European working hours supporting the EMEA/Americas business. Corporate title will depend on the relative experience of candidate. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Read and interpret governing legal and issuer documents namely Prospectuses/Offering Circulars, Bond Indentures and Pooling and Servicing Agreements, Hedging Agreements, etc. Model various collateral compliance tests in SOLVAS Platform Model Crystal report based on the Document requirements Analyse gaps between the Document requirements and the system functionality, arrive at and implement a workable workaround solution in case of a gap Use SQL for issue analysis, creation of customized calculators and adhoc requirements Perform Self Review of the Compliance Model and Reports to ensure quality Understand and analyse Client issues on existing Models and offer effective solutions Provide active support for testing of new functionalities and perform regression testing in case of system releases Support ad hoc/ special projects for process improvement and implement technology initiatives Coordinate and liaison with on-site Team in Santa Ana, California and London Your skills and experience Bachelor of Science/Engineering or qualified CA/CFA with a high GPA and a minimum of 5 years of professional experience Good Knowledge of Relational Databases/SQL (able to understand and write complex queries) Knowledge of wide range of financial products Able to learn new concepts quickly and independently with strong motivation for developing new skills and understanding financial product. Able to demonstrate a logical approach to problem solving Highly numerate with excellent attention to detail is essential Possesses positive attitude and strong commitment to delivering high quality work Able to handle multiple and often competing projects and work under tight deadlines and pressure. Must have a Customer/ Client service focus Innovative and proactive Must be organized, focused, and possess strong communication skills Demonstrated ability to work and think independently, while supporting team goals/objectives Self-starter, responsible and highly committed, strong analytical and logical reasoning (handy for interpretation of logical statements embedded in legal documents) Should be ready to work in UK hours. Additionally, based on business requirements, the incumbent should be willing to work extended hours Experience in legal document interpretation (Preferred) Knowledge of Crystal Programming (Preferred) How well support you

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

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

Lead IBM into the future by translating system requirements into the design and development of customized systems in an agile environment. The success of IBM is in your hands as you transform vital business needs into code and drive innovation. Your work will power IBM and its clients globally, collaborating and integrating code into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world’s technology leader Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and deploy models using CML workspaces, Build CI/CD pipelines for ML lifecycle Integrate with governance and monitoring tools,Enable secure model serving via REST APIs Preferred technical and professional experience Model governance, lineage, and versioning API exposure for real-time inference

Hiring for Multiple Roles 1. SAS, SQL, Marketing Analytics 2. SAS, SQL, Credit Risk Model 3. SAS, SQL Strategy Development 4. SAS, SQLCollection Strategy 5. SAS, SQL, MRM 6. SAS, SQL, Credit Risk Model

Job Title: Fraud & Credit Risk - Decision Science Location: Thane What does a successful Data Scientist, Fraud & Credit Risk - Decision Science do at FISERV? You'll be a part of Global Business Solutions (Merchant business) Fraud and Credit Decision Science team, responsible for developing and deploying predictive ML models in the form of automated risk controls that help in reducing fraud and credit risk losses as well as enabling top line growth. As a part of this team, youll be using internal and external data assets to generate insightful analytics, build models/rules, create data driven capabilities/ solutions to manage risk and identify new areas of opportunity.Key functions supported by the team include New Merchant On-boarding & Underwriting, Existing Merchant Risk Monitoring, Lending Products, and other/ commercial Risk Solutions. This position will be a critical interface with stakeholders within and outside Fiserv in building best-in-class analytical solutions. We'll help you to: Become a key enabler to develop data driven capabilities and implement automated decisions using existing and new data, advanced analytics and ML based predictive models Get great exposure to the payments industry, the merchant and transaction data that flows through payment networks as we apply innovative techniques to prevent fraud and credit losses, and support growth, specifically from digital channels. Measure and realize how your work contributes to reducing losses/ expenses and supporting business growth/revenue. What will you do? Designing and implementing ML / predictive models by utilizing internal and external data available and applying statistical techniques Tracking and monitoring model performance and provide analytical support to business partners for addressing their questions regarding automated decisions or automated alerts through informed analytics Conduct complex analysis using statistical and other industry leading quantitative techniques Evaluating and integrating data from internal and external sources to support modelling, analytics, and reporting Proactively using data to generate useful insights by assessing key performance indicators / trends and presenting to business leaders Partnering with business and technical SMEs to understand relevant data, analyze and perform necessary deeper-dives to solve given business problem, summarize and present key findings Supporting the transformation of risk data capabilities and decision systems through advanced and sustainable technology, new data sources and real-time decision Implementing models and decision rules in production in partnership with IT / deployment teams Develop documentation to support internal and external stakeholder requirements Develop and coach junior team members on daily basis Establish the scope of the project, lead internal communication with stakeholders, and ensure delivery of projects per commitment What will you need to know? You're the kind of person who: Loves to collaborate Can roll up their sleeves and make an impact Has superb communication and interpersonal skills Strong technical skills and problem-solving ability (analytically sound) Can work on multiple projects while still meeting deadlines Basic qualifications for consideration: Bachelors degree in a quantitative field (Mathematics /Statistics / Computer Science / Engineering) 7+ years of hands-on experience in one or more of the following areas: risk / marketing data analytics or predictive modelling Proficient in SQL/Python/SAS, Excel or other analytical tools / open-source programming languages What would be great to have? Master's Degree in a quantitative field (Mathematics / Statistics / Computer Science / Engineering) 7+ years of relevant experience Exposure to and knowledge of statistical / financial modelling in FINTECH / Payments domain Experience with credit bureaus and other external data sources Hands-on experience with AI / Money Laundering techniques Eligible to work in the India (Thane)

Overview We are an integral part of Annalect Global and Omnicom Group, one of the largest media and advertising agency holding companies in the world. Omnicom’s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services. Our agency brands are consistently recognized as being among the world’s creative best. Annalect India plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Science (data & analytics), Advanced Analytics, Market Research, Business Support Services, Media Services, Consulting & Advisory Services. We currently have 2500+ awesome colleagues (in Annalect India) who are committed to solve our clients’ pressing business issues. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together Responsibilities Translating data into clear, compelling, and actionable insights by leveraging advanced analytics tactics conducted by central resources. Developing and executing attribution and measurement projects. Ensuring timely follow through on all scheduled and ad hoc deliverables. With the leaders of the functional specialty teams, keeping track of projects being run by the Functional Specialists to ensure they are done on time and to right level of quality. Development of presentations to clients, including the results of attribution and modelling projects in a clear and insightful narrative, digestible by a lay person. Understanding of consumer and marketplace behaviours, particularly those that most impact business and marketing goals. Able to work successfully with teams, handling multiple projects and meeting client expectations. Qualifications 9-12 years of experience in a quantitative data driven field, media, or equivalent coursework or academic projects. Understanding of econometric analysis and advanced analytics solutions around survey data and of web analytics data as well. Good working knowledge and understanding of Market mix modelling/advance analytics is a must have skill. Data wrangling/story building are good to have Good knowledge in Shell Scripting, Unix/Linux, familiarity with Visualization tool and ETL tools is beneficial. Should be able to work independently, interpret data effectively, and deliver detailed reports for clients. Excellent communication skills. Familiarity with digital media concepts & tools and web analytics. Knowledge and experience with syndicated research sources/tools.

Proficient in capital markets analytics and statistical modeling. Experienced in Tableau and Power BI for building dashboards and data visualizations. Skilled in SQL, Databricks, R, and Python for analytical problem-solving. Strong understanding of leasing, financial, and market trend analysis with a focus on delivering actionable insights to stakeholders. Expertise in collaborating with business teams to develop analytical solutions, perform predictive modeling, and ensure continuous learning of emerging tools and methods. Location: Chennai, Hyderabad, Kolkata, Pune, Ahmedbad, Pan India

Job Title : Data Scientist Location : Gurugram Experience : 2-6Years Responsibilities : Data Analysis and Exploration : - Analyze large datasets to identify trends, patterns, and insights. - Perform exploratory data analysis (EDA) to understand data characteristics and relationships. - Develop and implement data preprocessing and cleaning techniques. Machine Learning Model Development : - Design, develop, and evaluate machine learning models for various applications (prediction, classification, clustering). - Select and implement appropriate algorithms and techniques based on project requirements. - Optimize model performance and ensure scalability. Statistical Analysis : - Apply statistical methods to analyze data and draw meaningful conclusions. - Conduct hypothesis testing and statistical modeling. - Develop and interpret statistical reports and visualizations. Data Visualization and Communication : - Create compelling visualizations to communicate data insights to technical and non-technical audiences. - Develop dashboards and reports to monitor key performance indicators (KPIs). - Present findings and recommendations to stakeholders. Collaboration and Communication : - Collaborate with engineers, product managers, and other stakeholders to define project requirements and deliver solutions. - Communicate complex technical concepts clearly and effectively. - Contribute to the development of data science best practices. Model Deployment and Monitoring : - Deploy machine learning models into production environments. - Monitor model performance and retrain models as needed. Qualifications : - Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. - 2-6 years of experience in data science. - Strong proficiency in Python and relevant libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). - Experience with SQL and database management. - Solid understanding of machine learning algorithms and statistical methods. - Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn). - Excellent problem-solving and analytical skills. - Strong communication and collaboration skills. - Experience with cloud platforms (AWS, Azure, GCP) is a plus.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: The Advanced Tech R&D team is looking for a research engineer with a passion for machine learning applied to generative audio, video, and natural language use cases. You will be working with a team of machine learning experts to develop advanced technology and solutions for mobile phones, headsets, and variety of IoT devices as well as cloud outlets. The team includes and works with algorithm, hardware and software engineers across company to develop, port newly designed solutions to real live prototypes shown at tradeshows and other customer events, and support commercialization activities in upcoming products. Responsibilities Develop innovative machine learning algorithms for Audio and speech generative models,; file corresponding papers and patent disclosures; achieve state-of-the-art performance and beyond in various /audio/NLP applications Combine features from multi-modalities such as video, audio, sensors, and location After successful demos to technical and business audiences, work with commercialization teams to transfer and deploy newly developed solutions onto Qualcomm platforms and customer devices Minimum Qualifications R&D experience of audio and speech generative networks, audio/speech synthesis, speech restoration, text to speech kind of models Familiarity with recent trends in machine learning (diffusion models, U-Nets, Transformer, BERT, BART, etc.) and traditional statistical modeling/feature extraction techniques Preferred Qualifications R&D experience developing generative models in audio and speech Proficiency in designing, implementing and training DL algorithms in high-level languages/frameworks (e.g. PyTorch, TensorFlow) Willingness to engage in hands-on R&D in modeling of audio/speech/text data Working in cross disciplinary, geographically-dispersed teams Education RequiredMaster's degree in Computer Engineering / Computer Science / Electrical Engineering PreferredDoctorate, Computer Engineering / Computer Science / Electrical Engineering 2+ years of R&D experience in Computer Vision/image/NLP/multimodal applications in academic/industry Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field.

The candidate will leverage their expertise in customer relationship management (CRM) systems especially the Opportunity Management Sales Cloud to analyze business requirements, design solutions, and implement CRM strategies that drive customer engagement and operational efficiency. Key responsibilities include gathering and analyzing stakeholder requirements, optimizing CRM tools for the AgriTech sector, ensuring seamless integration with other business systems. Key Responsibilities: Analyze business processes and translate them into CRM system requirements. Implement and optimize CRM solutions Salesforce Sales Cloud Opportunity Management - tailored to the AgriTech industry. Collaborate with cross-functional teams to ensure CRM strategy aligns with business goals. Provide ongoing support, troubleshooting, and training for CRM users. Utilize CRM analytics to drive customer insights, sales strategies, and retention initiatives. Qualifications: Proven experience as a CRM Business Analyst, preferably in AgriTech or a related field. Strong knowledge of CRM platforms - Salesforce, Microsoft Dynamics, etc. Excellent analytical, problem-solving, and communication skills. Experience in gathering requirements, process mapping, and delivering CRM solutions. B.Tech. MBA Must Have: Salesforce Sales Cloud, Opportunity Management, AgriTech Industry Experience Good to have: Salesforce Manufacturing Cloud Certifications: Salesforce Sales Cloud, Admin, Advanced Admin, Experience Cloud, PD1,

We are seeking an experienced professional in AI and machine learning with a strong focus on large language models (LLMs) for a 9-month project. The role involves hands-on expertise in developing and deploying agentic systems and working with transformer architectures, fine-tuning, prompt engineering, and task adaptation. Responsibilities include leveraging reinforcement learning or similar methods for goal-oriented autonomous systems, deploying models using MLOps practices, and managing large datasets in production environments. The ideal candidate should excel in Python, ML libraries (Hugging Face Transformers, TensorFlow, PyTorch), data engineering principles, and cloud platforms (AWS, GCP, Azure). Strong analytical and communication skills are essential to solve complex challenges and articulate insights to stakeholders.

Analyze workforce data to forecast staffing needs, develop strategic workforce plans, collaborate with departments, and prepare reports to support operational decisions. Required Candidate profile 3–5 years in workforce planning, data analysis, forecasting; proficiency in statistical tools; Bachelor's degree required, MBA/MS preferred; strong analytical and communication skills.

Department - Business Intelligence Unit A. Position Summary: This leadership role combines the strategic oversight of the Business Intelligence Unit with technical depth in software engineering. The role will drive data-driven decisions and innovation by leading analytics, AI, and engineering functions, while ensuring robust data platforms, scalable applications, and agile product delivery across departments. will be responsible for driving data-driven decision-making by developing and managing business intelligence strategies, analytics, and reporting frameworks. This role will ensure effective data utilization to enhance business performance, improve customer insights, and support strategic initiatives while ensuring compliance with regulatory and business requirements. B. Key Responsibilities: Business Intelligence & Analytics Define and implement BI and AI strategy for actionable business insights Lead analytics, visualization, and reporting frameworks for functional teams (sales, claims, underwriting, operations) Champion predictive and prescriptive analytics using ML and GenAI Guide business performance reviews via dashboards, KPIs, and deep-dive analyses Collaborate with stakeholders to convert business needs into data-backed solutions Maintain high data quality, governance, and regulatory compliance Software Engineering & Technology Leadership Oversee design, development, and deployment of scalable BI and data apps Lead end-to-end data platform engineering, including cloud-native services and APIs Spearhead automation and digitization of reporting and analytics ecosystems Collaborate with product and IT teams to build reusable data services and APIs Ensure modern DevOps practices, CI/CD pipelines, and agile delivery of BI tools Evaluate and integrate open-source and enterprise tools to strengthen BI stack Team & Stakeholder Management Lead and mentor a high-performing team of BI engineers, analysts, and data scientists Foster a culture of engineering excellence, agility, and innovation Build cross-functional partnerships with senior business and technology leadership C. Job Specifications: Education: Bachelors/Masters in Computer Science, Data Science, Analytics, Statistics, or a related field Experience: 12+ years in BI, data engineering, or software development—preferably in insurance/financial services 5+ years in a leadership role managing cross-functional analytics or engineering teams Demonstrated experience with full software development lifecycle in an agile environment Certifications Preferred: Power BI, Tableau, AWS/Azure Data Engineering, Python, ML, DevOps, or related credentials D. Key Technical Skills and Core Behavioral Competencies BI & Analytics: Power BI, Tableau, SQL, Python, R, statistical modeling, GenAI, ML libraries (e.g. scikit-learn, TensorFlow). Expertise in BI tools (Power BI, Tableau) and data visualization. Strong command of SQL, Python, R, statistical modelling and GenAI techniques. Advanced knowledge of AI, machine learning, predictive analytics and GenAI Proficiency in data warehousing, ETL processes, and cloud-based analytics solutions. Software Engineering: Node.js/Python/Java, REST APIs, Git, CI/CD, containerization (Docker), orchestration (Kubernetes), and cloud (AWS, Azure) Data Infrastructure : Data lakes, data warehouses, ETL pipelines, cloud-based data engineering (e.g. Snowflake, Redshift, BigQuery) Core Behavioural Competencies Strong analytical and problem-solving skills. Strategic thinking with a data-driven approach. Excellent leadership and team management abilities. Effective stakeholder collaboration and business acumen. High attention to detail and accuracy. Ability to drive innovation and process automation.

We are looking for a highly skilled Data Scientist with 7 to 10 years of experience to join our team as a Senior Process Manager in eClerx Services Ltd., located in Mumbai. Roles and Responsibility Develop and implement data-driven solutions to enhance business processes. Collaborate with cross-functional teams to identify areas for improvement and optimize workflows. Design and maintain databases and data systems to support business intelligence initiatives. Analyze complex data sets to inform strategic decisions and drive business growth. Develop and maintain reports and dashboards to track key performance indicators. Ensure data quality and integrity by implementing data validation and testing procedures. Job Requirements Strong understanding of data analysis, machine learning, and statistical modeling techniques. Experience with data visualization tools such as Tableau or Power BI. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong communication and collaboration skills to work effectively with stakeholders. Ability to design and implement process improvements to increase efficiency and productivity. Strong knowledge of data management principles and practices.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Conducting data analysis using SQL and Python to extract insights from large data sets Conducting exploratory data analysis to identify trends, patterns, and insights from data Developing AI/ML models and algorithms to automate and optimize business processes Staying up-to-date with the latest advancements in AI/ML techniques and tools and identifying opportunities to apply them to enhance existing solutions Documenting and communicating findings, methodologies, and insights to technical and non-technical stakeholders Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelors degree in Computer Science, Statistics, or related field 2+ years of experience in SQL, Python, and Snowflake Experience with exploratory data analysis and generating insights from data Knowledge of machine learning algorithms and techniques Proven solid problem-solving skills and attention to detail Proven excellent communication and collaboration skills Proven ability to work in a fast-paced environment and manage multiple projects simultaneously At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyoneof every race, gender, sexuality, age, location and incomedeserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes an enterprise priority reflected in our mission. #Nic