1151 Statistical Modeling Jobs - Page 31

Work closely with the Regional Lending Team to advise and develop solutions for clients that meet their needs and remain within acceptable risk parameters for the Bank Develop and maintain a thorough understanding of the product suite offered in Private Lending. Ensure consistency in the underwriting process and with the standards prescribed in the Product Lending Guides Document the loan structure and analysis for credit approval and file documentation purposes Ensure that loan documentation is consistent with the approved terms and that appropriate risk ratings are assigned to each loan transaction Confirm compliance with all covenant and collateral monitoring procedures Ensure that loan approvals and policy exceptions are documented appropriately and that credit files are maintained in a satisfactory manner Interact with banking regulators on an as needed basis. Provide other support of GS Bank USA s loan portfolio as requested Foster strong communication with Regional Private Lending teams, Credit Risk Management, PWM teams, clients and GS Bank USA personnel Skills and experience we are looking for MBA CPA or CFA a plus 3.5 - 5 years of work experience in a financial field (mortgage or insurance underwriting is not relevant for this role) Relevant work experience in commercial banking and/or private banking underwriting or credit roles Key skills include detailed knowledge of financial accounting, analysis, and modeling Excellent communication skills, both oral and written Strong project management, multi-tasking, and work organization skills Flexible, personable, confident, and self-motivated while focusing on being a team player Desire to be part of a dynamic and growing business No licensing required for this role

Goldman Sachs Asset Management delivers innovative investment solutions through a global, multi-product platform that offers clients the advantages that come with working with a large firm, while maintaining the benefits of a boutique. We are a top 10 global asset manager with a leadership position across asset classes and key market segments. Our success is driven by a global team of talented professionals who collaborate to deliver innovative client solutions. Quantitative Strategists Quantitative strategists work in close collaboration with bankers, traders, and portfolio managers on complex financial and technical challenges. We work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, pricing, trading automation, data analysis and more. The strats platform is designed for people to express themselves by providing creative solutions to business problems. Strats own analytics, models for pricing, return and risk, as we'll as portfolio management platform. Responsibilities As a quantitative strategist your responsibilities will include Working with revenue-generating businesses to solve a broad range of problems, including quantitative strategy development, quantitative modelling, portfolio construction, portfolio optimization, infrastructure development and implementation, financial product and markets analytics Develop quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve portfolio construction process and implement fund management models to track longer term portfolio performance Develop sustainable production systems, which can evolve and adapt to changes in our fast-paced, global business environment Provide quantitative analytics to optimize investment structure, pricing, returns and capital sourcing Partner globally across multiple divisions and engineering teams to create quantitative modeling-based solutions Prioritize across competing problems, communicate with key stakeholders Basic Qualifications Bachelors / masters degree in a quantitative discipline with quantitative analytics/ research, financial modeling experience Strong understanding of mathematical concepts including probability and statistics, time series analysis, regression analysis, forecasting, optimization, machine learning, regression analysis, and other numerical techniques Strong fundamentals in design and analysis of algorithms, data structures Ability to implement coding solutions to quantitative problems, experience in developing finance and statistics-based applications and proficiency in at least one programming language such as Slang, Python, C, C++ Strong written, oral communication skills and ability to work in a team environment Ability to multi-task and prioritize work effectively Passion and self-motivation to deliver technology solutions in a dynamic business environment

Role & responsibilities Develop and implement a comprehensive analytics strategy to support the organization's business objectives. Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions on Microsoft Power BI and Snowflake. Driving key business impacting processes like demand forecast generation and SNOP processes. Generating sales recommendation for trade sales team. Optimizing business process like network, inventory, etc., with data modeling and predicting / prescribing algorithms. Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics. Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables. Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs. Apply advanced analytics techniques to improve commercial routines and processes. Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders. Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company. Ability to look, analyse, critically think, and communicate insights to support data-driven decisions. Preferred candidate profile With 10+ years of experience in a position monitoring, managing, manipulating and drawing insights from data, and someone with at least 3 years of experience leading a team Experience with data visualization tools: Power BI, Tableau, Raw, chart.js, etc. Experience in understanding and managing the data flow across multiple systems to datawarehouse. Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.

We are seeking a highly skilled Advanced Analytics Specialist to join our dynamic team. The successful candidate will be responsible for leveraging advanced analytics techniques to derive actionable insights, inform business decisions, and drive strategic initiatives. This role requires a deep understanding of data analysis, statistical modeling, machine learning, and data visualization. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and implement advanced analytical models and algorithms to solve complex business problems, analyze large datasets to uncover trends, patterns, and insights that drive business performance. Collaborate with cross-functional teams to identify key business challenges and opportunities, Create and maintain data pipelines and workflows to ensure the accuracy and integrity of data, Design and deliver insightful reports and dashboards to communicate findings to stakeholders. Stay up to date with the latest advancements in analytics, machine learning, and data science. Provide technical expertise and mentorship to junior team members. QualificationsBachelor’s or master’s degree in data science, Statistics, Mathematics, Computer Science, or a related field. Proven experience in advanced analytics, data science, or a similar role. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools like Tableau, Power BI, or similar. Strong understanding of statistical modelling and machine learning algorithms. Excellent analytical, problem-solving, and critical thinking skills. Ability to communicate complex analytical concepts to non-technical stakeholders. Experience with big data technologies (e.g., Hadoop, Spark) is a plus Preferred technical and professional experience Familiarity with cloud-based analytics platforms (e.g., AWS, Azure). Knowledge of natural language processing (NLP) and deep learning techniques. Experience with project management and agile methodologies

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 : Data Science Good to have skills : NAMinimum 5 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.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and implement new technologies to improve system performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Good To Have Skills: Experience with machine learning frameworks such as TensorFlow or PyTorch.- Strong understanding of data analysis and statistical modeling techniques.- Experience in deploying AI models in cloud environments like AWS, Azure, or Google Cloud.- Familiarity with data preprocessing and feature engineering techniques. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Management Level: Ind&Func AI Decision Science Consultant Job Location: Bangalore / Gurgaon Must-have Skills: Excellent understanding of Pharma data sets commercial, clinical, Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Good-to-have Skills: Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI. Job Summary This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Key Responsibilities An opportunity to work on high-visibility projects with top Pharma clients around the globe. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Provide Subject matter expertise in various sub-segments of the LS industry. Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Additional Information Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Management Level: Ind&Func AI Decision Science Consultant Job Location: Bangalore / Gurgaon Must-have Skills: Excellent understanding of Pharma data sets commercial, clinical, Leverage ones hands on experience of working across one or more of these areas such as real-world evidence data, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Good-to-have Skills: Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI. Experience: Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Job Summary This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Key Responsibilities An opportunity to work on high-visibility projects with top Pharma clients around the globe. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Provide Subject matter expertise in various sub-segments of the LS industry. Support delivery of small to medium-sized teams to deliver consulting projects for global clients. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Acquire new skills that have utility across industry groups. Support strategies and operating models focused on some business units and assess likely competitive responses. Also, assess implementation readiness and points of greatest impact. Additional Information Proficient in Excel, MS Word, PowerPoint, etc. Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Proven experience (4+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Management Level: Ind & Func AI Decision Science Analyst Job Location: Bangalore / Gurgaon Must-have Skills: Life Sciences/Pharma/Healthcare projects and delivering successful outcomes, commercial, clinical, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Good-to-have Skills: Proficiency in Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI Experience: Proven experience (2+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field. Job Summary We are seeking an experienced and visionary - Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. Key Responsibilities Support delivery of small to medium-sized teams to deliver consulting projects for global clients. An opportunity to work on high-visibility projects with top Pharma clients around the globe. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Work on variety of projects in Data Modeling, Data Engineering, Data Visualization, Data Science etc., Acquire new skills that have utility across industry groups. Additional Information Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Proven experience (2+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Management Level: Ind & Func AI Decision Science Analyst Job Location: Bangalore / Gurgaon Must-have Skills: Life Sciences/Pharma/Healthcare projects and delivering successful outcomes, commercial, clinical, Statistical Models/Machine Learning including Segmentation & predictive modeling, hypothesis testing, multivariate statistical analysis, time series techniques, and optimization. Good-to-have Skills: Proficiency in Programming languages such as R, Python, SQL, Spark, AWS, Azure, or Google Cloud for deploying and scaling language models, Data Visualization tools like Tableau, Power BI Job Summary We are seeking an experienced and visionary - Accenture S&C Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. Key Responsibilities Support delivery of small to medium-sized teams to deliver consulting projects for global clients. An opportunity to work on high-visibility projects with top Pharma clients around the globe. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge, and capabilities. Responsibilities may include strategy, implementation, process design, and change management for specific modules. Work with the team or as an Individual contributor on the project assigned which includes a variety of skills to be utilized from Data Engineering to Data Science Develop assets and methodologies, point-of-view, research, or white papers for use by the team and the larger community. Work on variety of projects in Data Modeling, Data Engineering, Data Visualization, Data Science etc., Acquire new skills that have utility across industry groups. Additional Information Ability to solve complex business problems and deliver client delight. Strong writing skills to build points of view on current industry trends. Good communication, interpersonal, and presentation skills About Our Company | Accenture (do not remove the hyperlink) Qualification Experience: Proven experience (2+ years) in working on Life Sciences/Pharma/Healthcare projects and delivering successful outcomes. Educational Qualification: Bachelors or Masters degree in Statistics, Data Science, Applied Mathematics, Business Analytics, Computer Science, Information Systems, or other Quantitative field.

Job Title - Ind & Func AI Decision Science Manager Management Level: 7-Manager Location: Bengaluru, BDC7C Must-have skills: Risk Analytics Good to have skills: Experience in financial modeling, valuation techniques, and deal structuring. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Accenture CFO & EV team under Data & AI team has comprehensive suite of capabilities in Risk, Fraud, Financial crime, and Finance. Within risk realm, our focus revolves around the model development, model validation, and auditing of models. Additionally, our work extends to ongoing performance evaluation, vigilant monitoring, meticulous governance, and thorough documentation of models. Get to work with top financial clients globally Access resources enabling you to utilize cutting-edge technologies, fostering innovation with the worlds most recognizable companies. Accenture will continually invest in your learning and growth and will support you in expanding your knowledge. Youll be part of a diverse and vibrant team collaborating with talented individuals from various backgrounds and disciplines continually pushing the boundaries of business capabilities, fostering an environment of innovation. What you would do in this role Engagement Execution Work independently/with minimal supervision in client engagements that may involve model development, validation, governance, strategy, transformation, implementation and end-to-end delivery of risk solutions for Accentures clients. Ability to manage workstream of small projects with responsibilities of managing quality of deliverables for junior team members. Demonstrated ability of managing day to day interactions with the Client stakeholders o Practice Enablement o Guide junior team members. o Support development of the Practice by driving innovations, initiatives. o Develop thought capital and disseminate information around current and emerging trends in Risk. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Development, validation, and audit of: Credit Risk- PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting and Revenue Forecasting Models, IFRS9/CECL Loss Forecasting Models across Retail and Commercial portfolios Credit Acquisition/Behavior/Collections/Recovery Modeling and Strategies, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios Regulatory Capital and Economic Capital Models Liquidity Risk Liquidity models, stress testing models, Basel Liquidity reporting standards o Anti Money Laundering AML scenarios/alerts, Network Analysis o Operational risk AMA modeling, operational risk reporting Conceptual understanding of Basel/CCAR/DFAST/CECL/IFRS9 and other risk regulations Experience in conceptualizing and creating risk reporting and dashboarding solutions. Experience in modeling with statistical techniques such as linear regression, logistic regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time series ARMA/ARIMA, ML interpretability and bias algorithms etc. Programing Languages - SAS, R, Python, Spark, Scala etc., Tools such as Tableau, QlikView, PowerBI, SAS VA etc. Strong understanding of Risk function and ability to apply them in client discussions and project implementation. Academic : Masters degree in a quantitative discipline mathematics, statistics, economics, financial engineering, operations research or related field or MBA from top-tier universities. Strong academic credentials and publications, if applicable. Industry certifications such as FRM, PRM, CFA preferred. Excellent communication and interpersonal skills. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

Job Title - S&C Global Network - AI - CMT - Consultant Data Science Management Level: 9-Team Lead/Consultant Location: Hyderabad, HDC2A Must-have skills: CMT Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Responsibilities/Authorities A Telco domain experienced and data science consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders. Should be able to travel or relocate to Japan as per business requirement. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Demonstrated experience in solving real-world data problems through Data & AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital & statistical modeling software (one or more) Python, R, PySpark, SQL, BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 8-10Years Educational Qualification: Any Degree

About Company: Bajaj Electricals Limited is a globally renowned Indian Consumer Appliances and Lighting Solutions company (its Power Transmission and Distribution projects business has been demerged to form Bajel Projects Limited). Headquartered in Mumbai with a turnover of INR 4,662 crores (FY 2023 - 2024), it is a part of the $100 bn multinational conglomerate Bajaj Group founded by Shri Jamnalal Bajaj. The Company was established in 1938 and has stood the test for almost 85 years. It continues to enjoy consumer trust across various sectors it operates in and remains at the forefront of developing modern, technologically superior, and aesthetic products and solutions. Bajaj Electricals business portfolio spans Consumer Products (Appliances, Fans, Cookware) and Lighting Solutions (Consumer and Professional Lighting). They are a front runner in the industry with their key brand offerings comprising BAJAJ, Nirlep, Morphy Richards and Nex. They have an expansive network of 18 branch offices, 660+ distributors, and ~ 2 lakh retail outlets across India, combined with over 620 consumer care centres reaching 19,000 pin codes, fortifying their dominant presence in the consumer products sector. Under their Lighting Solutions business, they offer a wide range of innovative LED lamps and fixtures, including panels and battens, to consumers and are known for their prowess in street lighting, sports lighting, industrial commercial and infrastructural lighting, and undertaking specialised illumination projects on a turnkey basis amongst other solutions. The Company believes in creating happiness with sustainability by focusing on the four key CSR pillars - Sustainability, Diversity & Inclusion, Employee Volunteering & Community Initiatives. Through their CSR initiatives, they enable sustained impact in environmental sustainability, education, health, arts & culture and community development achieved by direct implementation and via NGO partners. Website: http://www.bajajelectricals.com Industry: Appliances, Electrical, and Electronics Manufacturing Address: 27th Floor, One Unity Center, Senapati Bapat Marg, Prabhadevi/ Parel (West), Mumbai-400013 Position: Lead - Analytics Working Days: Monday to Friday Headquarters: Mumbai, Maharashtra Founded: 1938 JOB ROLE: Lead - Advance Analytics REPORTING TO: Chief Information Officer TYPE OF ROLE: Team Lead JOB PURPOSE The Analytics Manager will work closely with leaders across product, sales, supply-chain and marketing to support and implement high-quality, data-driven decisions. He/She will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. He/She will use advanced data modeling, predictive modeling and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business outcomes. The right person for the job will apply their exhaustive knowledge of data analysis to solving real-world problems faced by our company and finding opportunities for improvement across multiple projects, teams and business units. KEY RESPONSIBILITIES - Develop and implement a comprehensive analytics strategy to support the organization's business objectives. - Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. - Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions. - Driving key business impacting processes like demand forecast generation and SNOP processes. - Generating sales recommendation for trade sales team. - Optimizing business process like network, inventory, etc., with data modeling and predicting / prescribing algorithms. - Oversee the design and delivery of reports and insights that analyze business functions and key operations and performance metrics. - Manage and optimize processes for data intake, validation, mining and engineering as well as modeling, visualization and communication deliverables. - Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs. - Apply advanced analytics techniques to improve commercial routines and processes. - Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders. - Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company. - Ability to look, analyse, critically think, and communicate insights to support data-driven decisions EDUCATIONAL QUALIFICATIONS: B.E/ BTech / M.Tech (Computer Science, Statistics, Data Management, Business Intelligence) or MBA/ PGDM (Data Science/Business Analytics/Business Intelligence/Sales/Marketing) WORK EXPERIENCE With 7+ years of experience in a position monitoring, managing, manipulating and drawing insights from data, and someone with at least 3 years of experience leading a team Experience with data visualization tools: Power BI, Tableau, Raw, chart.js, etc INTERNAL / EXTERNAL INTERFACE Internal working with Supply Chain, Sales and Finance Teams. External working with Analytics vendors

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Salesforce CRM Analytics Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are aligned with business objectives and user needs, while maintaining a focus on quality and efficiency throughout the project lifecycle. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of milestones. Professional & Technical Skills: - Must To Have Skills: Proficiency in Salesforce CRM Analytics.- Strong understanding of data integration techniques and tools.- Experience with application design and architecture principles.- Ability to analyze business requirements and translate them into technical specifications.- Familiarity with agile methodologies and project management practices. Additional Information:- The candidate should have minimum 5 years of experience in Salesforce CRM Analytics.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Jubilant Biosys is looking for Trainee Research Associate to join our dynamic team and embark on a rewarding career journey. As a Research Associate, you will be responsible for conducting research and analyzing data to support various research projects. Conduct research studies and analyze data using a variety of research methods and tools. Analyze and interpret data using statistical software and other analytical tools. Prepare reports and presentations summarizing research findings and conclusions.

Greetings From Mind Pro Technologies Pvt ltd (www.mindprotech.com) Job Title : Data Scientist Work Location : Karur (Tamil Nadu) or Dharwad (Karnataka ) Np : 15days or Less JOB DESCRIPTION: Must have At least 4+ Years of experience in Python with Data Science. Must have worked on at least one Live project. Experience in relevant field such as Statistics, Computer Science or Applied Math or Operational Research. Must have Masters in (Maths/Statistics or Applied Mathematics/Machine Learning etc.) History of successfully performing customer implementations Strong customer facing skills, and previous consulting experience. Experience of handling high frequency streaming data for real time analysis and reporting. Familiarity with - Natural Language Processing, Statistical Analysis (distribution analysis, correlation, variance, deep learning. Experience in tools like AWS, IBM Watson is a plus. Experience with open source technologies is a must. Excellent communication Ability to lead & build strong teams Ability to work in an ambiguous environment Desired Skills and Experience Languages/Tools: Python/R. Approaches: Machine Learning Concepts: Supervised ANN, Bayesian, Gaussian, Vector Quantization, Logistic Model, Statistical, Predictive Modeling, Minimum Message Length, SVM, Random Forest, Ensembles, ANOVA, Decision Trees, Hidden Markov Models Unsupervised ANN, ARL, Clustering Hierarchical, Cluster Analysis Reinforcement Gen AI, LLM, LSTM, RNN, CNN, KNN Big Data (Good to have): Hadoop /Kafka / Storm / Spark streaming OS: Linux, Windows 32/64 bits. Note: should know supervised and unsupervised learning, semi-supervised learning, neural networks concepts, and how ML algorithms works with training and testing data. Experience on particular data set to train, test and roll-out for production use Tool sets : Python, R, MATLAB or any AI frame work, Neural network, Gen AI, LLM Contact Details: Recruitment Team Mindpro Technologies Pvt Ltd ( www.mindprotech.com ) +91-04324-240904 / +91-9600672304

What You Need 7+ years of relevant experience in market research, strategic consulting, or product marketing with a track record at top consulting (MBB) or leading SaaS technology companies. Experience in healthcare technology or healthcare IT is highly preferred, and a Master s degree is a plus. Proven White Paper & Thought Leadership Expertise: Demonstrated ability to craft in-depth, influential white papers, executive summaries, or reports that resonate with senior stakeholders and establish brand authority. Technical Proficiency: Expert-level understanding of survey design, data analytics, and research methodologies.Experience with SPSS, SAS, Power BI, Tableau, Python, or R is a plus. Healthcare Insight: Solid understanding of value-based care models, healthcare payment reform, and healthcare industry trends in the U.S. Marketing & Strategy Execution: Experience translating research insights into successful marketing strategies that drive measurable business outcomes. Ability to create high-impact research collateral, pitch decks, and sales enablement materials with the polished depth of consulting deliverables. Collaboration & Communication: Exceptional communication, interpersonal, and stakeholder management skills. Strength in presenting complex data to senior leadership in a concise, consultative manner. Campaign & Analytics Tools: Familiarity with marketing automation platforms, CRM systems, and analytics tools is an advantage. Work Ethic: Self-motivated, results-oriented, and comfortable thriving in a fast-paced, dynamic environment.

What You Need Masters in Computer Science, Computer Engineering or other relevant fields (PhD Preferred) 8+ years of experience in Data Science (healthcare experience will be a plus) Strong hands-on experience in Python - building enterprise applications along with optimization techniques. Strong experience with deep learning techniques to build NLP/Computer vision models as well as state of art GenAI pipelines - knowledge of implementing agentic workflows is a plus. Has demonstrable experience deploying deep learning models in production at scale with interactive improvements- would require hands-on expertise with at least 1 deep learning frameworks like Pytorch or Tensorflow. Has keen interest in research and stays updated with key advancements in the area of AI and ML in the industry. Deep understanding of classical ML techniques - Random Forests, SVM, Boosting, Bagging - and building training and evaluation pipelines. Demonstrate experience with global and local model explainability using LIME, SHAP and associated techniques. Hands on experience with at least one ML platform among Databricks, Azure ML, Sagemaker s Experience in developing and deploying production ready models Knowledge of implementing an MLOps framework. Possess a customer-focused attitude through conversations and documentation Here s What We Offer Generous Leave Benefits: Enjoy generous leave benefits of up to 40 days. Parental Leave: Experience one of the industrys best parental leave policies to spend time with your new addition. Sabbatical Leave Policy: Want to focus on skill development, pursue an academic career, or just take a break Weve got you covered. Health Insurance: We offer health benefits and insurance to you and your family for medically related expenses related to illness, disease, or injury. Pet-Friendly Office*: Spend more time with your treasured friends, even when youre away from home. Bring your furry friends with you to the office and let your colleagues become their friends, too. *Noida office only Creche Facility for children*: Say goodbye to worries and hello to a convenient and reliable creche facility that puts your childs well-being first. *India offices

Team Leadership & Development: Build, mentor, and manage a team of data scientists, and machine learning engineers. Foster a culture of collaboration, innovation, and technical excellence. Roadmap Execution: Define and execute on the quarterly AI/ML roadmap, setting clear goals, priorities, and deliverables for the team. Work with the business leaders and customers to understand their pain-points and build large-scale solutions for them. Define technical architecture to productize Innovaccer s machine-learning algorithms and take them to market with partnerships with different organization. Work with our data platform and applications team to help them successfully integrate the data science capability or algorithms in their product/workflows. Project & Stakeholder Management: Work closely with cross-functional teams, including product managers, engineers, and business leaders, to align AI/ML initiatives with company objectives. What You Need Masters in Computer Science, Computer Engineering or other relevant fields (PhD Preferred) 8+ years of experience in Data Science (healthcare experience will be a plus) Strong experience with deep learning techniques to build NLP/Computer vision models as well as state of art GenAI pipelines - Has demonstrable experience deploying deep learning models in production at scale with interactive improvements- would require hands-on expertise with at least 1 deep learning frameworks like Pytorch or Tensorflow. Strong hands-on experience in building GenAI applications - building LLM based workflows along with optimization techniques - knowledge of implementing agentic workflows is a plus. Has keen interest in research and stays updated with key advancements in the area of AI and ML in the industry. Having patents/publications in any area of AI/ML is a great add on. Hands on experience with at least one ML platform among Databricks, Azure ML, Sagemaker s Strong written and spoken communication skills

About this role BlackRock is one of the world s preeminent asset management firms and a premier provider of global investment management, risk management and advisory services to institutional, intermediary, and individual investors around the world. BlackRock s mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients. BlackRock offers a range of solutions from rigorous fundamental and quantitative active management approaches aimed at maximizing outperformance to highly efficient indexing strategies designed to gain broad exposure to the world s capital markets. Our clients can access our investment solutions through a variety of product structures, including individual and institutional separate accounts, mutual funds and other pooled investment vehicles, and the industry-leading iShares ETFs. About Aladdin Financial Engineering (AFE): Join a diverse and collaborative team of over 400 modelers and technologists in Aladdin Financial Engineering (AFE) within BlackRock Solutions, the business responsible for the research and development of Aladdin s financial models. This group is also accountable for analytics production, enhancing the infrastructure platform, and delivering analytics content to portfolio and risk management professionals (both within BlackRock and across the Aladdin client community). The models developed and supported by AFE span a wide array of financial products covering equities, fixed income, commodities, derivatives, and private markets. AFE provides investment insights that range from an analysis of cash flows on a single bond, to the overall financial risk associated with an entire portfolio, balance sheet, or enterprise. Role Overview: We are looking to hire a quantitative modeler (Associate) to join our Portfolio Risk Modeling team. This team builds and maintains risk models and analytics, including linear factor models, Value-at-Risk (VaR) methodologies, volatility and covariance matrix estimation, and portfolio stress testing & scenario analytics. These models span a wide variety of asset classes including fixed income, equity, and private markets. The models utilize sophisticated econometric/statistical methods, and are used by traders, portfolio managers and risk managers at BlackRock and Aladdin clients for risk management, portfolio construction, regulatory reporting, compliance and performance attribution. This individual would have a strong background in quantitative research, have demonstrable project management skills as well as proven experience to work in a team environment as well as collaborating with senior modelers from other groups/regions. This person is expected to join as an individual contributor and deliver on all aspects of model governance for our portfolio risk model suite and provide model governance representation to internal stakeholders and Aladdin clients. Key Responsibilities: Contribute to governance for Aladdin portfolio risk models including (but not limited to) equities, fixed income, commodities, derivatives, etc. Building and maintaining model governance controls, including (but not limited to) model performance monitoring, model documentation, model remediations and supporting internal & external client model validations Communicate (verbally and in writing) with internal stakeholders and external clients on model performance regularly, investigate exceptional model performance, diagnose issues and conduct corrective remediations Backtesting, documenting, and guiding new models and methodologies through validation Partner with engineering teams to integrate portfolio risk models into state-of-art production systems Qualification 3-6 years of experience in quantitative field / statistical modeling. Experience with portfolio risk analytics and/or model governance is strongly preferred Advanced degree in a quantitative discipline - master s degree in finance / economics / statistics / financial engineering / math finance, etc. Knowledge of investments, portfolio management, econometrics, and empirical asset pricing A strong background in quantitative research Hands-on experience with statistical software (e.g., Python, R) and strong background in programming. Proficiency with Python is strongly preferred Experience with data handling (ETL, data joining with SQL, cleaning, processing, summarizing, descriptive analysis), and building and back-testing statistical and econometric models Prior work experience in financial modeling (e.g., risk models, analytics, private markets) or data science and model deployment to production environment is a plus Ability to work effectively with a team of highly motivated individuals Time and project management skills Proven track record of guiding junior talent Positive attitude and ability to work both independently and as a part of a global team in a fast-paced environment Excellent communication and presentation skills

Role: Senior Team Member Credit Risk Modelling Unit ECL Model Development and Implementation: Build and maintain statistical models to calculate Expected Credit Losses across different loan portfolios based on factors like borrower credit history, macroeconomic indicators, and industry trends. Implement the ECL model within the Bank's system to automatically generate provisioning requirements. Regularly review and update the ECL model to reflect changing market conditions and portfolio dynamics. Data Management and Analysis: Collect and cleanse loan data from various internal systems to ensure accuracy for ECL calculations. Perform data analysis to identify trends and patterns impacting credit risk. Develop data visualization tools to present insights on credit risk metrics to senior management. Regulatory Compliance: Ensure adherence to regulatory guidelines regarding ECL calculation and provisioning as per Ind AS 109. Prepare necessary reports and documentation to support regulatory audits. Collaboration and Communication: Work closely with the credit risk team, finance department, and IT team to ensure accurate ECL calculations and smooth implementation of the ECL model. Communicate ECL related insights and risks to senior management and stakeholders. Required Skills and Qualifications: Strong understanding of credit risk management and the ECL framework under Ind AS 109 Expertise in statistical modeling techniques, including regression analysis, decision trees, and time series analysis. Proficiency in data manipulation and analysis tools like SQL, SAS, or Python Financial modeling skills and understanding of financial statements. Excellent communication and presentation skills to convey complex financial concepts to non-technical audiences. Relevant experience in credit risk management within a banking or NBFC environment

Job Overview: We are looking for a skilled Python and Data Science Programmer to develop and implement data-driven solutions. The ideal candidate should have strong expertise in Python, machine learning, data analysis, and statistical modeling. Key Responsibilities: Data Analysis & Processing: Collect, clean, and preprocess large datasets for analysis. Machine Learning: Build, train, and optimize machine learning models for predictive analytics. Algorithm Development: Implement data science algorithms and statistical models for problem-solving. Automation & Scripting: Develop Python scripts and automation tools for data processing and reporting. Data Visualization: Create dashboards and visual reports using Matplotlib, Seaborn, Plotly, or Power BI/Tableau. Database Management: Work with SQL and NoSQL databases for data retrieval and storage. Collaboration: Work with cross-functional teams, including data engineers, business analysts, and software developers. Research & Innovation: Stay updated with the latest trends in AI, ML, and data science to improve existing models.

We are seeking an exceptional Data Scientist to join a team of experts in the field of machine learning, and work together to tackle challenging problems across diverse compliance domains. We leverage multi-modal and large-language-models (LLMs) to detect illegal and unsafe products across the Amazon catalog. We work on machine learning problems for multi-modal classification, intent detection, information retrieval, anomaly and fraud detection, and generative AI. This is an exciting and challenging position to deliver scientific innovations into production systems at Amazon-scale to make immediate, meaningful customer impacts while also pursuing ambitious, long-term research. You will work in a highly collaborative environment where you can analyze and process large amounts of image, text and tabular data. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. There will be something new to learn every day as we work in an environment with rapidly evolving regulations and adversarial actors looking to outwit your best ideas. Explore and evaluate state-of-the-art algorithms and approaches in multi-modal classification, large language models (LLMs), intent detection, information retrieval, anomaly and fraud detection, and generative AI Translate product and CX requirements into measurable science problems and metrics. Collaborate with product and tech partners and customers to validate hypothesis, drive adoption, and increase business impact A day in the life Understanding customer problems, project timelines, and team/project mechanisms Proposing science formulations and brainstorming ideas with team to solve business problems Writing code, and running experiments with re-usable science libraries Reviewing labels and audit results with investigators and operations associates Sharing science results with science, product and tech partners and customers Contributing to team retrospectives for continuous improvements Participating in science research collaborations and attending study groups with scientists across Amazon About the team We are a team of scientists building AI/ML solutions to make Amazon Earth s most trusted shopping destination for safe and compliant products. 2+ years of data scientist experience 2+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience Experience applying theoretical models in an applied environment Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. Experience in Python, Perl, or another scripting language Experience in a ML or data scientist role with a large technology company

Job Title: Sales Excellence COE Data Engineering Specialist Locations: Mumbai / Bangalore / Gurgaon / Hyderabad Experience: 1012 Years Level: Team Lead / Specialist (Level 9) Job Role Lead data engineering efforts to support sales insights through scalable pipelines, statistical modeling, and ML workflows across cloud platforms. Required Skills Proficiency in Python Advanced SQL (Views, Functions, Procedures) Experience with Google Cloud Platform (GCP) ML workflow setup Strong in Data Modeling and ETL Development Excel skills including VBA, Power Pivot, Cube Functions Solid understanding of Sales Processes

Job Title: Analytics and Modeling AssociateLocation: Bengaluru Experience: 02 Years Education: 15 Years Full-TimeJob SummaryWe are seeking a motivated Analytics and Modeling Associate to support data-driven decision-making through insightful analysis, statistical modeling, and reporting Ideal for early-career professionals with a passion for data and problem-solving Key ResponsibilitiesCollect, clean, and analyze data to support business goalsBuild and maintain statistical models and dashboards Collaborate with stakeholders to define analytical needsPresent findings and provide actionable insightsSupport continuous improvement through data innovationMust-Have Skills Strong knowledge of Excel, SQL, and Python/R Understanding of statistical modeling and data visualization Familiarity with tools like Power BI / Tableau Excellent analytical and communication skills

Department : Business Analytics Job Overview: We are seeking a talented R Analytics to join our analytics team. The ideal candidate will possess a strong background in data analysis, statistical modeling, and proficiency in the R programming language. You will be responsible for analyzing complex datasets, providing insights, and developing statistical models to support business decisions. Key Responsibilities: Utilize R programming to analyze large and complex datasets, performing data cleaning, transformation, and analysis. Develop and implement statistical models (regression, time series, classification, etc.) to provide actionable insights. Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Visualize data through plots, charts, and dashboards to effectively communicate results to stakeholders. Collaborate with cross-functional teams to define business problems and develop analytical solutions. Build and maintain R scripts and automation workflows for repetitive tasks and analysis. Stay updated with the latest developments in R packages and data science techniques. Present findings and insights to stakeholders through clear, concise reports and presentations. Qualifications : Bachelor's/Master's degree in Statistics, Mathematics, Data Science, Computer Science, or a related field. at least the last 6-10 years in a senior role specifically focusing on R Language, R Studio, and SQL. Strong knowledge of statistical techniques (regression, clustering, hypothesis testing, etc.). Experience with data visualization tools like ggplot2, shiny, or plotly. Familiarity with SQL and database management systems. Knowledge of machine learning algorithms and their implementation in R. Ability to interpret complex data and communicate insights clearly to non-technical stakeholders. Strong problem-solving skills and attention to detail. Familiarity with version control tools like Git is a plus.