Data Scientist - Entry

ASC - Business Sys Analyst I (AI)

Finance Data Scientist ( Business Systems Analyst)

Artificial Intelligence Specialist

Role Description:The Data Scientist role will work in a team environment to deliver business solutions.This will involve engaging with clients, internal onsite experts, and contract resources to develop and support IT solutions.Responsibilities: Works on clearly defined projects involving a limited amount of complexity, with regular review of output.Applies basic knowledge of established systems software development principles and best practices to independently resolve problems and make minor changes to existing processes/systems.Good to have sound knowledge on Generative AI , machine learning concepts and principles.Knowledge of advanced predictive analytics using tools like Python or R.Knowledge of Frameworks such as Scikit-learn , Numpy, Pandas, Beautifulsoup, Matplotlib, Dash.Experience working with visualization tools like Power BI and Tableau.Strong written, verbal and interpersonal communication skills.Ability to work in teams and good team player.Requirements:0.6 -2 Years of Experience.Education: B.Tech/B.E. - Any Specialization, M.E/M.Tech - Any Specialization, MCA.Should have attended a Data Science Bootcamp / Course / Internship.

Responsibilities:Design, develop, and implement AI-powered solutions to automate manual tasks, optimize processes, and enhance data-driven decision-making in Financial Accounting, Treasury, Performance management and Investor Relations.Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions. Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementation.Develop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.Stay up-to-date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.Communicate technical concepts and findings effectively to both technical and non-technical audiences.Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.Organize and facilitate workshops with different users and consultants to document processes and drive transformation.Lead the delivery and execution of key digital initiatives.Participate in solutions development through projects and programs, collaborating with business and technology groups.Maintain, support and optimize digital solutions.Requirements:As the successful candidate you will hold a Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics or IT from a recognized and approved program. Possession of an advanced business degree (e.g. MBA) and/or relevant professional certification (e.g. CMA, CFA, CPA) is preferred but not required. You will have six to eight years’ experience in Data Science, Artificial Intelligence and other related advanced analytics implementation of financial systems.Expertise in Python programming languages and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is required. UI programming, such as with React, is requiredSkills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.You will be able to demonstrate a thorough understanding of the various aspects of implementing AI systems in Finance including articulation and measurement of benefits, evaluation of technical and execution options, critical success factors, and project risks.You must have project experience implementing AI solutions and will be able to analyze the business requirements, evaluate and recommend technical options and support the execution process for implementing such solutions.Ability to get involved in hands on technical solution management is preferred. 

Role Description:We are seeking a seasoned “Business System Analyst” to serve in the role of “Financial Data Scientist” to join the Digital Solutions & Data Management Division of the Digital Finance Department.Digital Finance Department (DFD) is responsible for the coordination, development, and management of information systems used in financial accounting, treasury, financial planning & forecasting, performance management and the entire suite of digital solutions for the Finance Business line.Digital Implementation Division is responsible for providing program management services for implementation, rollout and support of finance system solutions through digital technologies including advanced analytics, Robotic Process Automation (RPA) and Advanced Analytics technologies including Artificial Intelligence solutions and SAP solutions using Business Warehouse (BW) and Analytics Cloud (SAC).The department personnel are multidisciplinary professionals with key focus on Financial Applications functional experience and IT technical background.The Business System Analyst’s primary role is to champion the identification, evaluation, design, coordinate implementation and facilitate rollout of Artificial Intelligence centric solutions in the Finance organization.The analyst will also lead implementation initiatives where required in addition to managing post implementation support.Responsibilities:Pursue a robust value centric methodology to identify valuable opportunities enabled by AI/ML, Predictive/Prescriptive Analytics, Generative AI, Chatbots and other technologiesleverage best practices to recommend and advocate transformation of finance functions with AI Conduct exploratory data analysis, leverage AI algorithms to derive value for finance functions, such as for forecasting, anomaly detection etc. Ideate AI solutions, develop scope, design and facilitate implementation of digital solutions, and coordinate change management Continuous upkeep and training of AI models to ensure integrity and traceability Design, develop, and implement AI-powered solutions to automate manual tasks, optimize processes, and enhance data-driven decision-making in Financial Accounting, Treasury, Performance management and Investor Relations.Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions. Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementationDevelop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.Stay up-to-date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.Communicate technical concepts and findings effectively to both technical and non-technical audiences.Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.Organize and facilitate workshops with different users and consultants to document processes and drive transformationLead the delivery and execution of key digital initiatives. Participate in solutions development through projects and programs, collaborating with business and technology groups. Maintain, support and optimize digital solutions.Requirements:As the successful candidate you will hold a Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics or IT from a recognized and approved program. Possession of an advanced business degree (e.g. MBA) and/or relevant professional certification (e.g. CMA, CFA, CPA) is preferred but not required. You will have six to eight years’ experience in Data Science, Artificial Intelligence and other related advanced analytics implementation of financial systems. Expertise in Python programming languages and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is required. UI programming, such as with React, is required. Skills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.You will be able to demonstrate a thorough understanding of the various aspects of implementing AI systems in Finance including articulation and measurement of benefits, evaluation of technical and execution options, critical success factors, and project risks.You must have project experience implementing AI solutions and will be able to analyze the business requirements, evaluate and recommend technical options and support the execution process for implementing such solutions. Ability to get involved in hands on technical solution management is preferred. 

OverviewWe are seeking a seasoned “Business System Analyst” to serve in the role of “Financial Data Scientist” to join the Digital Solutions & Data Management Division of the Digital Finance Department.Digital Finance Department (DFD) is responsible for the coordination, development, and management of information systems used in financial accounting, treasury, financial planning & forecasting, performance management and the entire suite of digital solutions for the Finance Business line. Digital Implementation Division is responsible for providing program management services for implementation, rollout and support of finance system solutions through digital technologies including advanced analytics, Robotic Process Automation (RPA) and Advanced Analytics technologies including Artificial Intelligence solutions and SAP solutions using Business Warehouse (BW) and Analytics Cloud (SAC). The department personnel are multidisciplinary professionals with key focus on Financial Applications functional experience and IT technical background.The Business System Analyst’s primary role is to champion the identification, evaluation, design, coordinate implementation and facilitate rollout of Artificial Intelligence centric solutions in the Finance organization. The analyst will also lead implementation initiatives where required in addition to managing post implementation support.ResponsibilitiesDesign, develop, and implement AI-powered solutions to automate manual tasks, optimize processes, and enhance data-driven decision-making in Financial Accounting, Treasury, Performance management and Investor Relations.Work closely with business stakeholders to understand their needs, translate them into technical requirements, and deliver impactful solutions. Assess requirements related to Finance AI uses cases; Perform option evaluation; Provide support for implementationDevelop and maintain machine learning models for tasks such as financial forecasting, fraud detection, anomaly detection, risk assessment, and investor sentiment analysis.Clean, transform, and analyze large datasets from various sources to ensure data quality and prepare it for modeling.Stay up-to-date on the latest advancements in AI and machine learning, identify potential applications for the finance function, and propose relevant pilot projects.Communicate technical concepts and findings effectively to both technical and non-technical audiences.Participate in cross-functional initiatives to integrate AI and data science into broader business transformation efforts.Organize and facilitate workshops with different users and consultants to document processes and drive transformationLead the delivery and execution of key digital initiatives. Participate in solutions development through projects and programs, collaborating with business and technology groups. Maintain, support and optimize digital solutionsMinimum RequirementsAs the successful candidate you will hold a Bachelor’s degree in Engineering, Computer Science, Mathematics, Statistics or IT from a recognized and approved program. Possession of an advanced business degree (e.g. MBA) and/or relevant professional certification (e.g. CMA, CFA, CPA) is preferred but not required.  You will have six to eight years’ experience in Data Science, Artificial Intelligence and other related advanced analytics implementation of financial systems. Expertise in Python programming languages and libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch is required. UI programming, such as with React, is required. Skills to leverage Google Cloud or Azure Cloud for advanced analytics is desirable.You will be able to demonstrate a thorough understanding of the various aspects of implementing AI systems in Finance including articulation and measurement of benefits, evaluation of technical and execution options, critical success factors, and project risks.You must have project experience implementing AI solutions and will be able to analyze the business requirements, evaluate and recommend technical options and support the execution process for implementing such solutions. Ability to get involved in hands on technical solution management is preferred. 

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Data Scientist - Entry

ASC - Business Sys Analyst I (AI)

Finance Data Scientist ( Business Systems Analyst)

Artificial Intelligence Specialist

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Data Scientist - Entry

ASC - Business Sys Analyst I (AI)

Finance Data Scientist ( Business Systems Analyst)

Artificial Intelligence Specialist

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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