2259 Financial Planning Jobs - Page 34

Key Responsibilities Financial Strategy & Planning Assist in budgeting and forecasting aligned with business goals Identify areas for cost optimization and efficient resource use Accounting & Bookkeeping Maintain accurate financial records using Tally ERP, QuickBooks, or Zoho Books Manage day-to-day entries, account reconciliation, and ledgers GST Compliance & Taxation Ensure timely filing of GST returns (e.g., GSTR-1, GSTR-3B) Monitor input tax credits and stay current with regulatory changes Cash Flow & Expense Oversight Oversee daily cash flow to support smooth operations Manage payables and receivables for financial balance Reporting & Insights Prepare internal financial reports and statements Conduct variance analysis and suggest operational improvements Risk & Compliance Support audits and regulatory compliance Identify financial risks and propose mitigation strategies Requirements Experience: 2-5 years in finance, accounting, or a related field Education: Bachelor's in Finance, Accounting, or Economics (MBA, CPA, or CFA is a plus) Skills: Proficiency in Tally ERP, QuickBooks, or Zoho Books Strong knowledge of GST laws and compliance practices High attention to detail and analytical problem-solving skills Strong communication and organizational abilities

Key Responsibilities Financial Strategy & Planning Assist in budgeting and forecasting aligned with business goals Identify areas for cost optimization and efficient resource use Accounting & Bookkeeping Maintain accurate financial records using Tally ERP, QuickBooks, or Zoho Books Manage day-to-day entries, account reconciliation, and ledgers GST Compliance & Taxation Ensure timely filing of GST returns (e.g., GSTR-1, GSTR-3B) Monitor input tax credits and stay current with regulatory changes Cash Flow & Expense Oversight Oversee daily cash flow to support smooth operations Manage payables and receivables for financial balance Reporting & Insights Prepare internal financial reports and statements Conduct variance analysis and suggest operational improvements Risk & Compliance Support audits and regulatory compliance Identify financial risks and propose mitigation strategies Requirements Experience: 2-5 years in finance, accounting, or a related field Education: Bachelor's in Finance, Accounting, or Economics (MBA, CPA, or CFA is a plus) Skills: Proficiency in Tally ERP, QuickBooks, or Zoho Books Strong knowledge of GST laws and compliance practices High attention to detail and analytical problem-solving skills Strong communication and organizational abilities

Key Responsibilities Financial Strategy & Planning Assist in budgeting and forecasting aligned with business goals Identify areas for cost optimization and efficient resource use Accounting & Bookkeeping Maintain accurate financial records using Tally ERP, QuickBooks, or Zoho Books Manage day-to-day entries, account reconciliation, and ledgers GST Compliance & Taxation Ensure timely filing of GST returns (e.g., GSTR-1, GSTR-3B) Monitor input tax credits and stay current with regulatory changes Cash Flow & Expense Oversight Oversee daily cash flow to support smooth operations Manage payables and receivables for financial balance Reporting & Insights Prepare internal financial reports and statements Conduct variance analysis and suggest operational improvements Risk & Compliance Support audits and regulatory compliance Identify financial risks and propose mitigation strategies Requirements Experience: 2-5 years in finance, accounting, or a related field Education: Bachelor's in Finance, Accounting, or Economics (MBA, CPA, or CFA is a plus) Skills: Proficiency in Tally ERP, QuickBooks, or Zoho Books Strong knowledge of GST laws and compliance practices High attention to detail and analytical problem-solving skills Strong communication and organizational abilities

Key Responsibilities Financial Strategy & Planning Assist in budgeting and forecasting aligned with business goals Identify areas for cost optimization and efficient resource use Accounting & Bookkeeping Maintain accurate financial records using Tally ERP, QuickBooks, or Zoho Books Manage day-to-day entries, account reconciliation, and ledgers GST Compliance & Taxation Ensure timely filing of GST returns (e.g., GSTR-1, GSTR-3B) Monitor input tax credits and stay current with regulatory changes Cash Flow & Expense Oversight Oversee daily cash flow to support smooth operations Manage payables and receivables for financial balance Reporting & Insights Prepare internal financial reports and statements Conduct variance analysis and suggest operational improvements Risk & Compliance Support audits and regulatory compliance Identify financial risks and propose mitigation strategies Requirements Experience: 2-5 years in finance, accounting, or a related field Education: Bachelor's in Finance, Accounting, or Economics (MBA, CPA, or CFA is a plus) Skills: Proficiency in Tally ERP, QuickBooks, or Zoho Books Strong knowledge of GST laws and compliance practices High attention to detail and analytical problem-solving skills Strong communication and organizational abilities

Key Responsibilities Financial Strategy & Planning Assist in budgeting and forecasting aligned with business goals Identify areas for cost optimization and efficient resource use Accounting & Bookkeeping Maintain accurate financial records using Tally ERP, QuickBooks, or Zoho Books Manage day-to-day entries, account reconciliation, and ledgers GST Compliance & Taxation Ensure timely filing of GST returns (e.g., GSTR-1, GSTR-3B) Monitor input tax credits and stay current with regulatory changes Cash Flow & Expense Oversight Oversee daily cash flow to support smooth operations Manage payables and receivables for financial balance Reporting & Insights Prepare internal financial reports and statements Conduct variance analysis and suggest operational improvements Risk & Compliance Support audits and regulatory compliance Identify financial risks and propose mitigation strategies Requirements Experience: 2-5 years in finance, accounting, or a related field Education: Bachelor's in Finance, Accounting, or Economics (MBA, CPA, or CFA is a plus) Skills: Proficiency in Tally ERP, QuickBooks, or Zoho Books Strong knowledge of GST laws and compliance practices High attention to detail and analytical problem-solving skills Strong communication and organizational abilities

Key Responsibilities Financial Strategy & Planning Assist in budgeting and forecasting aligned with business goals Identify areas for cost optimization and efficient resource use Accounting & Bookkeeping Maintain accurate financial records using Tally ERP, QuickBooks, or Zoho Books Manage day-to-day entries, account reconciliation, and ledgers GST Compliance & Taxation Ensure timely filing of GST returns (e.g., GSTR-1, GSTR-3B) Monitor input tax credits and stay current with regulatory changes Cash Flow & Expense Oversight Oversee daily cash flow to support smooth operations Manage payables and receivables for financial balance Reporting & Insights Prepare internal financial reports and statements Conduct variance analysis and suggest operational improvements Risk & Compliance Support audits and regulatory compliance Identify financial risks and propose mitigation strategies Requirements Experience: 2-5 years in finance, accounting, or a related field Education: Bachelor's in Finance, Accounting, or Economics (MBA, CPA, or CFA is a plus) Skills: Proficiency in Tally ERP, QuickBooks, or Zoho Books Strong knowledge of GST laws and compliance practices High attention to detail and analytical problem-solving skills Strong communication and organizational abilities

Key Responsibilities Financial Strategy & Planning Assist in budgeting and forecasting aligned with business goals Identify areas for cost optimization and efficient resource use Accounting & Bookkeeping Maintain accurate financial records using Tally ERP, QuickBooks, or Zoho Books Manage day-to-day entries, account reconciliation, and ledgers GST Compliance & Taxation Ensure timely filing of GST returns (e.g., GSTR-1, GSTR-3B) Monitor input tax credits and stay current with regulatory changes Cash Flow & Expense Oversight Oversee daily cash flow to support smooth operations Manage payables and receivables for financial balance Reporting & Insights Prepare internal financial reports and statements Conduct variance analysis and suggest operational improvements Risk & Compliance Support audits and regulatory compliance Identify financial risks and propose mitigation strategies Requirements Experience: 2-5 years in finance, accounting, or a related field Education: Bachelor's in Finance, Accounting, or Economics (MBA, CPA, or CFA is a plus) Skills: Proficiency in Tally ERP, QuickBooks, or Zoho Books Strong knowledge of GST laws and compliance practices High attention to detail and analytical problem-solving skills Strong communication and organizational abilities

Key Responsibilities Financial Strategy & Planning Assist in budgeting and forecasting aligned with business goals Identify areas for cost optimization and efficient resource use Accounting & Bookkeeping Maintain accurate financial records using Tally ERP, QuickBooks, or Zoho Books Manage day-to-day entries, account reconciliation, and ledgers GST Compliance & Taxation Ensure timely filing of GST returns (e.g., GSTR-1, GSTR-3B) Monitor input tax credits and stay current with regulatory changes Cash Flow & Expense Oversight Oversee daily cash flow to support smooth operations Manage payables and receivables for financial balance Reporting & Insights Prepare internal financial reports and statements Conduct variance analysis and suggest operational improvements Risk & Compliance Support audits and regulatory compliance Identify financial risks and propose mitigation strategies Requirements Experience: 2-5 years in finance, accounting, or a related field Education: Bachelor's in Finance, Accounting, or Economics (MBA, CPA, or CFA is a plus) Skills: Proficiency in Tally ERP, QuickBooks, or Zoho Books Strong knowledge of GST laws and compliance practices High attention to detail and analytical problem-solving skills Strong communication and organizational abilities

As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions across 600 branches across the country. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits (incl. structured solutions for NRI), investments, insurance, mortgages, credit cards and personal loans to help our customers realise their dreams and aspirations at every life stage. Job Purpose To deliver exceptional volume and revenue performance by acquiring and engaging with DBS Treasures clients having an AUM => INR 20 Million through need-based approach” and ensure client coverage and product penetration through cross-sell and up-sell of DBS products and services. To manage & maintain the highest customer satisfaction and service levels through pro-active client engagement & relationship management, coordinating internally with DBS Service and Distribution and Product team Key Accountabilities Acquire and upgrade quality Treasures clients in the branch location areas Engage with existing customers to deepen the wallet share through retention and growth of AUM. Accountable for achieving monthly & annual volume and revenue objective, as agreed. Ensure activation of e-Channels (I-Banking / M-Banking/ Online MF/Debit Card) and Savings Book growth Ensure proper implementation & execution of product strategies through effective relationship management. Develop the client trust and loyalty for entrenched relationship with DBS through lifestyle and beyond banking propositions Ensure optimum product mix and new- to- product clients aimed at customer level profitability and enhancing client coverage. Drive and deliver exemplary customer service in the local market and uphold DBS service standards. Ensure internal and regulatory compliance through strict adherence to DBS sales process, timely risk reviews and exercising due diligence while on-boarding. Ensure exemplary service delivery of these clients by building appropriate workflows and processes incl. doorstep banking etc. Job Duties & responsibilities Establish, manage and grow the AUM of the elite Treasures Client segment by acquiring and nurturing the client having AUM => INR 10 M Ensure timely portfolio review by jointly engaging with Wealth / Investment / Insurance specialist with clients. Ensure complete knowledge of all products & services through continuous skill and knowledge improvement. Resolve customer queries and complaints within the agreed TAT as per the DBS customer service policy. Provide feedback on market, competition and products, suggest innovations & ideas for continuous product and service improvements. Keep attuned to the current economic and financial markets to be current and proficient to ensure effective engagement with the elite segment of Treasures customers. Coordinate and work closely with CBG Relationship Manager peer groups and colleagues, Service teams, Product specialist at branches to ensure that team objectives are met through an environment that nurtures harmony and collaboration through team work Work closely with the Line Manager and City / Cluster Head to ensure achievement of common team and Branch objectives. Ensure internal and regulatory compliance and address operational risks if any, e.g. Health & Safety standards, security of premises, AML / KYC and ongoing risk reviews. To exercise appropriate due diligence while on-boarding and engaging with clients. Establish DBS as a primary banker for clients and as a prominent wealth management provider in India. Organize exclusive lifestyle, sports , music and such other elite engagement events and activities for prospect generation , entrench existing relationship and reinforce the DBS brand in the Private Wealth management space Requirements Sound understanding of financial planning and wealth management products in India In-depth knowledge of local market and competition. AMFI / IRDAI / FEDAI certified candidates with BCSBI certification would be an added advantage Education / Preferred Qualifications Graduate / Post Graduate with MBA in relevant field Core Competencies Effective probing and listening skills. Strong Relationship Management and influencing skills Self-driven and ambitious. Good written and verbal communication skills Results-orientated & the ability to deliver results under pressure Understanding of competitive positioning Strong service orientation, customer-centric behavior. Focused on developing image and good will of the brand Creative, inquisitive mind with problem solving abilities. Ability to deliver results within tight timelines. Attention to details, analyzing abilities. Technical Competencies Understanding of HNI Sales/ wealth management product suite, platforms and operational procedures Understanding of banking and para-banking guidelines issued by RBI (local regulations in India) and local laws and regulations that impact businesses in general. Understanding of KYC requirements & Anti-money Laundering Policies. Knowledge of financial markets and products to assist in meaningful engagement with clients. Work Relationship Management of clients and prospects for acquisition and deepening of wallet share. Close interaction with Treasures Elite Team Leader, City / Cluster Head, Branch Service and Operations team to ensure consistent delivery of volume and revenue targets. Close and regular interaction with Branch Product specialists for effective skill / knowledge development of self and explore potential in existing book through joint engagement with clients. Mandatory Training GCAP (Group Customer Acceptance Policy) BCAP (Business Customer Acceptance Policy) AML (Anti Money Laundering) and KYC Guidelines PIP (Personal Investment Policy) ORM (Operational Risk Management) Information Security Policy DBS India - Culture & Behaviors Performance through Value Based Propositions Ensure customer focus by delighting customers & reduce complaints Build pride and passion to protect, maintain and enhance DBS image and reputation Enhance knowledge base, build skill sets & develop competencies Execute at speed while maintaining error free operations Maintain the highest standards of honesty and integrity

insightsoftware is a global provider of comprehensive solutions for the Office of the CFO. We believe an actionable business strategy begins and ends with accessible financial data. With solutions across financial planning and analysis (FP&A), accounting, and operations, we transform how teams operate, empowering leaders to make timely and informed decisions. With data at the heart of everything we do, insightsoftware enables automated processes, delivers trusted insights, boosts predictability, and increases productivity. Learn more at insightsoftware.com Job Description As a Professional Services Consultant, you will be implementing insightsoftware s Budgeting, Planning, and Financial Consolidations based on the latest Cloud technology for leading, world-class customers reporting to the Professional Services Manager. Over time, you will become an expert at implementing our Budgeting, Planning, and Consolidation Solutions and eventually become a trusted advisor and coach to our customers. To be successful in this role, you will need a good understanding of the Finance function of larger organizations and the ability to quickly learn how to use and configure modern budgeting and reporting business applications, demonstrate excellent communication skills, devise and demonstrate disciplined execution. Primary Responsibilities: Understand customer s data flows and processes around budgeting, planning and financial consolidations Analyze customer requirements to create maintainable applications following best practice guidelines on application and information design Utilize knowledge in Financial Consolidation or Financial Planning & Analysis to provide strategic insights and drive business growth. Set-up, implement, and test components of customer solutions Integrate products with customers ERP systems and other data sources Ability to execute on a project implementation plan with or without help from Project Manager Regular accurate recording of worked hours and monitoring of project budget Demonstrate the business benefits and value of ISW solutions. Bring high energy and an entrepreneurial spirit to the team, contributing creative ideas and perspectives. Build and nurture strong customer relationships, ensuring their needs are met and their feedback is heard. Collaborate with project team members and cross-functional teams to develop and implement innovative solutions. Provide regular updates to senior management, highlighting project milestones and achievements. Coming up to a target billable utilization ratio in 6 months Qualifications 3+ years of experience in Financial Consolidations Planning and Analysis or accounting standards and practices, with a solid understanding of the challenges faced by finance and the broader business. Ability to understand and explain business and technical issues related to customer solutions. Strong Financial Modelling skills Experience in a customer services role (consulting) within the Finance function of an organization Strong troubleshooting and problem-solving skills Ability to multi-task and prioritize multiple competing tasks Proficient in Microsoft Office Excel and Corporate Performance Management (ex. Anaplan, One Stream, CCH Tagetik - understanding multi-dimensionality architecture, dimensions, objects, members and hierarchies), Understanding ERP financial software solutions Understanding software life cycle Demonstrated adherence to our core values: Results Orientation, Winning Attitude, Be One Team, Disciplined Execution, and Growth Mindset Ability to prioritize opportunities and tasks effectively.

Business Function As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions across 600 branches across the country. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits (incl. structured solutions for NRI), investments, insurance, mortgages, credit cards and personal loans to help our customers realise their dreams and aspirations at every life stage. Job Purpose To deliver exceptional volume and revenue performance by acquiring and engaging with DBS Treasures clients having an AUM => INR 20 Million through need-based approach” and ensure client coverage and product penetration through cross-sell and up-sell of DBS products and services. To manage & maintain the highest customer satisfaction and service levels through pro-active client engagement & relationship management, coordinating internally with DBS Service and Distribution and Product team Key Accountabilities Acquire and upgrade quality Treasures clients in the branch location areas Engage with existing customers to deepen the wallet share through retention and growth of AUM. Accountable for achieving monthly & annual volume and revenue objective, as agreed. Ensure activation of e-Channels (I-Banking / M-Banking/ Online MF/Debit Card) and Savings Book growth Ensure proper implementation & execution of product strategies through effective relationship management. Develop the client trust and loyalty for entrenched relationship with DBS through lifestyle and beyond banking propositions Ensure optimum product mix and new- to- product clients aimed at customer level profitability and enhancing client coverage. Drive and deliver exemplary customer service in the local market and uphold DBS service standards. Ensure internal and regulatory compliance through strict adherence to DBS sales process, timely risk reviews and exercising due diligence while on-boarding. Ensure exemplary service delivery of these clients by building appropriate workflows and processes incl. doorstep banking etc. Job Duties & responsibilities Establish, manage and grow the AUM of the elite Treasures Client segment by acquiring and nurturing the client having AUM => INR 10 M Ensure timely portfolio review by jointly engaging with Wealth / Investment / Insurance specialist with clients. Ensure complete knowledge of all products & services through continuous skill and knowledge improvement. Resolve customer queries and complaints within the agreed TAT as per the DBS customer service policy. Provide feedback on market, competition and products, suggest innovations & ideas for continuous product and service improvements. Keep attuned to the current economic and financial markets to be current and proficient to ensure effective engagement with the elite segment of Treasures customers. Coordinate and work closely with CBG Relationship Manager peer groups and colleagues, Service teams, Product specialist at branches to ensure that team objectives are met through an environment that nurtures harmony and collaboration through team work Work closely with the Line Manager and City / Cluster Head to ensure achievement of common team and Branch objectives. Ensure internal and regulatory compliance and address operational risks if any, e.g. Health & Safety standards, security of premises, AML / KYC and ongoing risk reviews. To exercise appropriate due diligence while on-boarding and engaging with clients. Establish DBS as a primary banker for clients and as a prominent wealth management provider in India. Organize exclusive lifestyle, sports , music and such other elite engagement events and activities for prospect generation , entrench existing relationship and reinforce the DBS brand in the Private Wealth management space Requirements Minimum 10 years of experience in HNI Sales / Wealth Management / Private Banking segment. Sound understanding of financial planning and wealth management products in India In-depth knowledge of local market and competition. AMFI / IRDAI / FEDAI certified candidates with BCSBI certification would be an added advantage Education / Preferred Qualifications Graduate / Post Graduate with MBA in relevant field Core Competencies Effective probing and listening skills. Strong Relationship Management and influencing skills Self-driven and ambitious. Good written and verbal communication skills Results-orientated & the ability to deliver results under pressure Understanding of competitive positioning Strong service orientation, customer-centric behavior. Focused on developing image and good will of the brand Creative, inquisitive mind with problem solving abilities. Ability to deliver results within tight timelines. Attention to details, analyzing abilities. Technical Competencies Understanding of HNI Sales/ wealth management product suite, platforms and operational procedures Understanding of banking and para-banking guidelines issued by RBI (local regulations in India) and local laws and regulations that impact businesses in general. Understanding of KYC requirements & Anti-money Laundering Policies. Knowledge of financial markets and products to assist in meaningful engagement with clients. Work Relationship Management of clients and prospects for acquisition and deepening of wallet share. Close interaction with Treasures Elite Team Leader, City / Cluster Head, Branch Service and Operations team to ensure consistent delivery of volume and revenue targets. Close and regular interaction with Branch Product specialists for effective skill / knowledge development of self and explore potential in existing book through joint engagement with clients. Mandatory Training GCAP (Group Customer Acceptance Policy) BCAP (Business Customer Acceptance Policy) AML (Anti Money Laundering) and KYC Guidelines PIP (Personal Investment Policy) ORM (Operational Risk Management) Information Security Policy DBS India - Culture & Behaviors Performance through Value Based Propositions Ensure customer focus by delighting customers & reduce complaints Build pride and passion to protect, maintain and enhance DBS image and reputation Enhance knowledge base, build skill sets & develop competencies Execute at speed while maintaining error free operations Maintain the highest standards of honesty and integrity Apply Now We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements .

. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the As a Risk management specialist at ZS Associates, youll be responsible for identifying, and mitigating compliance and operational risks in line with the firms standards. Youll also provide subject matter expertise and technical guidance to technology-aligned process owners, ensuring that implemented controls are operating effectively and in compliance with regulatory, legal, and industry best practices. By partnering with various stakeholders, including Product Owners and Business function Managers, you will contribute to the reporting of a comprehensive view of technology risk posture and its impact on the business. Youll have advanced knowledge of risk management principles, practices, and theories will enable you to drive innovative solutions and effectively manage a diverse team in a dynamic and evolving risk landscape. What youll do: Develop the culture of risk management across the organisation, and ensure effective identification, quantification, communication, and management of risks focusing on root cause analysis and resolution recommendations across domains Cyber, HR, Legal, Finance, etc. Proactively monitor and evaluate control effectiveness, identify gaps, and recommend enhancements to strengthen risk posture and regulatory compliance. Provide SME support to functional managers or Internal stakeholders in understanding and applying responsibilities towards risk and compliance providing recommendations as appropriate. Support the CIO and CISO, and work with internal stakeholders to: Participate in consultation and conduct gap analysis against new requirements Coordinate and facilitate IT / cyber security audits. Support Risk Owners and Tech teams in documenting control procedures, guidelines, etc. Ensure risk and control activities are completed in a timely and appropriate manner applying the correct governance route Report and publish Risks to senior leadership inclusive of providing content for Senior Leadership risk and control review forums/Committees. Ensure all governance attestations and sign-off from Senior leadership are completed including the conduct risk measures. Co-ordinate and track the tickets / findings in areas like IT Operational Risks and Information Security Risks, Control Self assessments , Internal/External Audit findings with appropriate CAPA, BCP / Disaster recovery , Problem tickets with root cause analysis. Audit event co-ordination, Audit liaison and issue closure oversight (SOC 2 Type 2, ISO 27001, etc.) Lead pre-audit preparation activities with stakeholders (SOC 2 Type 2, ISO 27001, etc.) Provide first line of defense support in assessing risk and reviewing control issues Documentation of control procedures, standards and guidelines, etc. What youll bring: Bachelor s degree in IT or relevant field with a strong academic background A minimum of 7-10 Years of experience in Risk management and internal controls governance Strong communication & strategic influencing skills. Relevant experience working with senior leaders, building internal networks, and delivering high impact programs in complex -matrixed environments. Formal training or certification in Information Security, and/or 5+ years of experience or equivalent expertise in technology risk management, information security, or related field, emphasizing risk identification, assessment, and mitigation. Familiarity with risk management frameworks, industry standards, and financial industry regulatory requirements Proficient knowledge and expertise in data security, risk assessment & reporting, control evaluation, design, and governance, with a proven record of implementing effective risk mitigation strategies. Proficient in MS Office productivity suite (e.g., Word, Excel, PowerPoint, SharePoint). Advanced Excel skills strongly preferred CISM/CRISC/CISA/CISSP/CIA/MBA or relevant Risk Management / Audit certification Basic working knowledge of following (Majority of the points, if not all): -COBIT Control Objectives for Information and Related Technology -ISO/IEC 27001:2013 Code of Practice for Information Security Management -NIST SP 800-53 -NIST CSF -SOC1/SOC2/SOC3 -HIPAA/HITECH Security and Privacy Audit Protocol -Shared Assessments Standard Information Gathering (SIG) framework -US SOX Sarbanes Oxley Act -US HIPAA/HITECH Act -EU GDPR General Data Protection Regulation -US EU Privacy Shield -India Companies Act Additional Skills: Demonstrated ability to influence executive-level strategic decision-making and translating technology insights into business strategies for senior executives. Program level management up to and including Executive presentation and reporting. Knowledge and Experience of Technology Infrastructure. Understanding of Infrastructure Security Stakeholder management Willingness to adapt to evolving industry standards and technologies Ability to manage a wide variety of tasks and meet deadlines, and reliability/dependability Proven ability to work creatively and analytically in a problem-solving environment Perks & Benefits: . Travel: . Considering applying? . To Complete Your Application:

Experience with cloud technologies AWS, Azure or GCP Create container images and maintain container registries. Create, update, and maintain production grade applications on Kubernetes clusters and cloud. Inculcate GitOps approach to maintain deployments. Create YAML scripts, HELM charts for Kubernetes deployments as required. Take part in cloud design and architecture decisions and support lead architects build cloud agnostic applications. Create and maintain Infrastructure-as-code templates to automate cloud infrastructure deployment Create and manage CI/CD pipelines to automate containerized deployments to cloud and K8s. Maintain git repositories, establish proper branching strategy, and release management processes. Support and maintain source code management and build tools. Monitoring applications on cloud and Kubernetes using tools like ELK, Grafana, Prometheus etc Automate day to day activities using scripting. Work closely with development team to implement new build processes and strategies to meet new product requirements. Troubleshooting, problem solving, root cause analysis, and documentation related to build, release, and deployments. Ensure that systems are secure and compliant with industry standards. What you'll Bring A masters or bachelors degree in computer science or related field from a top university. 2-4+ years of hands-on experience in DevOps Hands-on experience designing and deploying applications to cloud (Aws / Azure/ GCP) Expertise on deploying and maintaining applications on Kubernetes Technical expertise in release automation engineering, CI/CD or related roles. Hands on experience in writing Terraform templates as IaC, Helm charts, Kubernetes manifests Should have strong hold on Linux commands and script automation. Technical understanding of development tools, source control, and continuous integration build systems, eg Azure DevOps, Jenkins, Gitlab, TeamCity etc Knowledge of deploying LLM models and toolchains Configuration management of various environments. Experience working in agile teams with short release cycles. Good to have programming experience in python / go. Characteristics of a forward thinker and self-starter that thrives on new challenges and adapts quickly to learning new knowledge.

Leverage quantitative skills to derive answers to clients ongoing business analytics and reporting questions. Work collaboratively with clients to ascertain the client s specific business information needs. Execute a specific plan for analyzing the data necessary to secure solutions to clients particular business information need(s ). Discuss and determine with clients which specific data may be best utilized in order to perform the necessary analysis. Evaluate, assess and analyze the data necessary to provide solutions to the client s particular business information needs. Communicate the data results to the client, with an emphasis on answering the business question as opposed to the analytical and reporting processes used. Gain immediate familiarity with client s internal processes. Develop expertise within a client analytics area. Be available for clients during regular working hours. What you'll Bring MBA with a bachelors (and often graduate) degree in a quantitative, analytical discipline, such as Operations Research, Applied Mathematics, Management Science, Data Science, Statistics, Econometrics, or Engineering. Alternately, candidates may possess a PhD in marketing, economics, decision sciences or related field with a business application. In lieu of an MBA or PhD, 5-8 years of relevant work experience may substitute. Up to 3 years of post-MBA relevant work experience, and 3-5 years of pre-MBA relevant work experience, with evidence of strong analytic work (including use of advanced modeling techniques and tools such as R, SAS, Tableau, or VBA High motivation, good work ethic, maturity and personal initiative Aptitude for, and enjoyment of, leading and managing teams. Effective oral and written communication skills that enable personal impact with senior-level decision makers. Strong attention to detail, with a quality-focused mindset Analytic problem-solving skills, with a creative and innovative outlook Client service orientation

Customer Success Associate Consultant design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to drive impact on client business (topline). This person will lead the engagement for AI based SaaS product deployment to clients across industries. Leverage their strong Data Science, analytics and engineering skills to build Advanced analytics processes, build scalable and operational process pipelines and find data-driven insights that help our clients solve their most important business problems and bring optimizations. Associate Consultants also engage with Project Leadership team and clients to help them understand the insights, summaries, implications and make plans to act on them. What you'll Do: Deep analytics-tech expertise: Develop and implement advanced algorithms that solve complex business problems in a computationally efficient and statistically effective manner leveraging tools like PySpark, Python, SQL on Client/ZS cloud environment Execute statistical and data modelling techniques (eg hypothesis testing, A/B Testing setup, marketing impact analytics, statistical validity etc) on large data sets to identify trends, figures and other relevant information with scalable and operational process implementations. Evaluating emerging datasets and technologies that may contribute to our analytical platform including good understanding of Generative AI capabilities and SaaS products. Communication, collaboration, unstructured problem solving and client engagement (in a high performing and high intensity team environment): Problem solving and Client engagement : Understand client business priorities, develop product use cases, do proforma analysis for estimating business opportunity, and deploy the use case for the clients. Collaboration: Work in a cross-functional team environment to lead the client engagement and collaborate on holistic solutions comprising of best practices from Frontend and Backend engineering, Data Science, and ML Engineering area. Storyboarding & impact communication : Build effective storyboards to communicate solution impact to clients and ZS Leadership Scaling mindset: Provide a structure to client engagement, build and maintain standardized and operationalized Quality Checks on team s work and ensuring high quality client deliverables Team management : Export best practices and learnings to broader team and mentor Associates on teams What you'll Bring: Bachelors degree in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytics and quantitative coursework is required Knowledge of programming - Python (Deep Expertise), Pyspark, SQL Expertise in machine learning, regression, clustering, and classification models (preferably in a product environment) Knowledge of big data/advanced analytics concepts and algorithms (eg social listening, recommender systems, predictive modeling, etc) Excellent oral and written communication skills Strong attention to detail, with a value-addition mindset Excellent critical thinking and problem-solving skills High motivation, good work ethic and maturity. 3-5 years of relevant post-collegiate work experience, preferably in industries like B2C, Product companies, in execution roles focused on Data & Decision Sciences, Data Engineering, Stakeholder management and building scalable processes. Should have hands on analytics experience where the candidate has worked on the algorithms / methodology from scratch and not merely executed existing codes and processes. Ability to coach, mentor juniors on the team to drive on the job learning & expertise building

Write complex SQL queries for data extraction, perform exploratory data analysis (EDA) to uncover insights. Strong proficiency in Python and Py Spark for scalable data processing and analytics. Create, transform, and optimize features to enhance model performance. Train, evaluate, and maintain machine learning models in production. Write efficient, maintainable, and version-controlled code that handles large datasets. Regularly update internal teams and clients on project progress, results, and insights. Conduct hypothesis testing and experiment analysis to drive data-driven decisions using AB testing. Scaling machine learning algorithms to work on massive data sets and strict SLAs. Automate operations pipeline which runs on regular intervals to update required datasets. What you'll Bring: A masters or bachelors degree in computer science or a related field from a top university. 4+ years of hands-on experience in Machine Learning (ML) or Data Science with a focus on building scalable solutions. Strong programming expertise in Python and PySpark is must. Proven ability to write highly optimized SQL queries for efficient data extraction and transformation. Experience in feature engineering, inferencing pipelines, and real-time model prediction deployment. Strong fundamentals in applied statistics , with expertise in A/B test design and hypothesis testing. Solid understanding of distributed computing systems and hands-on experience with at least one cloud platform (GCP, AWS, or Azure) Additional Skills Understanding of Git, DevOps, CI / CD, data security, experience in designing on cloud platform. Experienced in automating operations using job scheduler like Airflow Experience in data engineering in Big Data systems

Undertake primary ownership in driving self and team effort across all phases of a project lifecycle; Translate business requirements into technical terms and drive team effort to design, build and manage technology solutions that solve business problems; Apply appropriate development methodologies (eg: agile, waterfall) and best practices (eg: mid-development client reviews, embedded QA procedures, unit testing) to ensure successful and timely completion; Partner with Project lead/ Program lead in delivering projects and assist in project management responsibility like - project plans, people management, staffing and risk mitigation; Collaborate with other team members across the globe and ensure seamless communication and sharing/ undertaking tasks; Manage team of diverse skill sets (programmer, cloud analyst, BI developer, reporting, operations, etc); Mentor/coach the junior members in the team; Lead task planning and task distribution across team members and ensure timely completion with high quality and report accurate status to seniors; Lead the project deliverables such as business case development, solution vision and design, user requirements, solution mockup, prototypes, and technical architecture, test cases, deployment plans, operations strategy and planning, etc; Manage direct / indirect client communications as per the assigned responsibility in the project; Exhibit outlook to bring continuous improvement, innovation and exhibit capability to learn new areas (technology, business domain, project management process) and drive the similar effort of team members: Understand the problem statement, client requirements and design and build complex solutions using Programing languages, ETL platform, etc; Ability to take right and timely decision on problem solving by considering broader picture, especially on approach, technical nuances and planning. Experience & Qualifications: Bachelors/Masters degree with specialization in Computer Science, MIS, IT or other computer related disciplines; 4-6 years of relevant consulting-industry experience working on medium-large scale technology solution delivery engagements: Big Data Technologies: Proficiency in working with big data technologies, particularly in the context of Databricks, which may include Apache Spark for distributed data processing. Databricks: In-depth knowledge of Databricks for data engineering tasks, including data transformations, ETL processes, and job scheduling. SQL and Query Optimization: Strong SQL skills for data manipulation and retrieval, along with the ability to optimize queries for performance in Snowflake. ETL (Extract, Transform, Load): Expertise in designing and implementing ETL processes to move and transform data between systems, utilizing tools and frameworks available in Databricks. Data Integration: Experience with integrating diverse data sources into a cohesive and usable format, ensuring data quality and integrity. Python/PySpark: Knowledge of programming languages like Python and PySpark for scripting and extending the functionality of Databricks notebooks. Version Control: Familiarity with version control systems, such as Git, for managing code and configurations in a collaborative environment. Monitoring and Optimization: Ability to monitor data pipelines, identify bottlenecks, and optimize performance for both Snowflake and Databricks. Security and Compliance: Understanding of security best practices and compliance considerations when working with sensitive data in AWS and Snowflake environments. Snowflake Data Warehouse: Experience in designing, implementing, and optimizing data warehouses using Snowflake, including schema design, performance tuning, and query optimization. Data Modeling: Proficient in data modeling concepts and practices, especially in the context of designing and maintaining data structures in Snowflake. Additional Skills Deep understanding of data management best practices and data analytics; Up to speed with latest technologies related (but not limited to) to cloud platform services, visualization, data management; Excellent verbal and written communication, with appropriate and logical structuring of thoughts process during discussion/ presentation; Lead project teams in driving end to end activities to meet set milestones and provide necessary mentorship/ guidance for the team growth; Ability to distill complex concepts into easy-to-understand frameworks and presentations; Strong verbal and written communication skills with ability to articulate results and issues to internal and client teams; Ability to work within a virtual global team environment and contribute to the overall timely delivery of multiple projects; Willingness to travel to other global offices as needed to work with client or other internal project teams.

Create and maintain optimal data pipeline architecture. Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, re-designing infrastructure for scalability. Design, develop and deploy high volume ETL pipelines to manage complex and near-real time data collection. Develop and optimize SQL queries and stored procedures to meet business requirements. Design, implement, and maintain REST APIs for data interaction between systems. Ensure performance, security, and availability of databases. Handle common database procedures such as upgrade, backup, recovery, migration, etc Collaborate with other team members and stakeholders. Prepare documentations and specifications. What you'll bring: bachelors degree in computer science, Information Technology, or related field 1+ years of experience SQL, TSQL, Azure Data Factory or Synapse or relevant ETL technology. Prepare documentations and specifications. Strong analytical skills (impact/risk analysis, root cause analysis, etc) Proven ability to work in a team environment, creating partnerships across multiple levels. Demonstrated drive for results, with appropriate attention to detail and commitment. Hands-on experience with Azure SQL Database

Direct customer service and sales to existing MLI customers through relationship building. Existing Customer database will be provided by company. KEY RESPONSIBILITIES Service through relationship management Establishing and strengthening relationship with the allocated customer base. Ensure retention of his/her allocated Book of Relations (existing customer database). Act as single point of contact for customers for any customer walk-in/query/complaint. Identify financial goals of customers and providing financial planning assistance. Competition Analysis for giving professional advice to customer Fix self-appointments every day from the given customer database as per the campaign Sales Focus on cross-sell & up-sell opportunity in allocated customers and walk-ins MEASURES OF SUCCESS TAT adherence for updating System - CSG Successful completion of cross-sell/ up-sell Business Goals month on month Collection of payment/premium from 91-180 days due policies Complaint Resolution /Customer satisfaction Achievement of Retention Targets > 45 unique customer meetings in a month More than 90% attendance (of total working days) Successfully score >=80% in the Functional Trainings imparted DESIRED QUALIFICATIONS AND EXPERIENCE Graduate with 1 - 3 years experience in sales of Insurance/ Mutual Fund/ CASA/ Investments/ Loans/ Real Estate. Minimum 6 months exposure to Life Insurance Age Bracket 25-32 years Must own a conveyance KNOWLEDGE / SKILLS / ABILITIES Process & Result orientation Customer centricity & relationship building Basic Computer Knowledge. Good communication skills- English and regional language

IT MANAGER, DATA ENGINEERING AND ANALYTICS will lead a team of data engineers and analysts responsible for designing, developing, and maintaining robust data systems and integrations. This role is critical for ensuring the smooth collection, transformation, integration and visualization of data, making it easily accessible for analytics and decision-making across the organization. The Manager will collaborate closely with analysts, developers, business leaders and other stakeholders to ensure that the data infrastructure meets business needs and is scalable, reliable, and efficient. What you'll Do: Team Leadership: Manage, mentor, and guide a team of data engineers and analysts, ensuring their professional development and optimizing team performance. Foster a culture of collaboration, accountability, and continuous learning within the team. Lead performance reviews, provide career guidance, and handle resource planning. Data Engineering & Analytics: Design and implement data pipelines, data models, and architectures that are robust, scalable, and efficient. Develop and enforce data quality frameworks to ensure accuracy, consistency, and reliability of data assets. Establish and maintain data lineage processes to track the flow and transformation of data across systems. Ensure the design and maintenance of robust data warehousing solutions to support analytics and reporting needs. Collaboration and Stakeholder Management: Collaborate with stakeholders, including functional owners, analysts and business leaders, to understand business needs and translate them into technical requirements. Work closely with these stakeholders to ensure the data infrastructure supports organizational goals and provides reliable data for business decisions. Build and Foster relationships with major stakeholders to ensure Management perspectives on Data Strategy and its alignment with Business objectives. Project Management: Drive end-to-end delivery of analytics projects, ensuring quality and timeliness. Manage project roadmaps, prioritize tasks, and allocate resources effectively. Manage project timelines and mitigate risks to ensure timely delivery of high-quality data engineering projects. Technology and Infrastructure: Evaluate and implement new tools, technologies, and best practices to improve the efficiency of data engineering processes. Oversee the design, development, and maintenance of data pipelines, ensuring that data is collected, cleaned, and stored efficiently. Ensure there are no data pipeline leaks and monitor production pipelines to maintain their integrity. Familiarity with reporting tools such as Superset and Tableau is beneficial for creating intuitive data visualizations and reports. Machine Learning and GenAI Integration: Machine Learning: Knowledge of machine learning concepts and integration with data pipelines is a plus. This includes understanding how machine learning models can be used to enhance data quality, predict data trends, and automate decision-making processes. GenAI: Familiarity with Generative AI (GenAI) concepts and exposure is advantageous, particularly in enabling GenAI features on new datasets. Leveraging GenAI with data pipelines to automate tasks, streamline workflows, and uncover deeper insights is beneficial. What you'll Bring: 12+ years of experience in data engineering, with at least 3 years in a managerial role. Technical Expertise: Strong knowledge of data engineering concepts, including data warehousing, ETL processes, and data pipeline design. Proficiency in Azure Synapse or data factory, SQL, Python, and other data engineering tools. Data Modeling: Expertise in data modeling is essential, with the ability to design and implement robust, scalable data models that support complex analytics and reporting needs. Experience with data modeling frameworks and tools is highly valued. Leadership Skills: Proven ability to lead and motivate a team of engineers while managing cross-functional collaborations. Problem-Solving: Strong analytical and troubleshooting skills to address complex data-related challenges. Communication: Excellent verbal and written communication skills to effectively interact with technical and non-technical stakeholders. This includes the ability to motivate team members, provide regular constructive feedback, and facilitate open communication channels to ensure team alignment and success. Data Architecture: Experience with designing scalable, high-performance data systems and understanding cloud platforms such as Azure, Data Bricks. Machine Learning and GenAI: Knowledge of machine learning concepts and integration with data pipelines, as we'll as familiarity with GenAI, is a plus. Data Governance: Experience with data governance best practices is desirable. Open Mindset: An open mindset with a willingness to learn new technologies, processes, and methodologies is essential. The ability to adapt quickly to evolving data engineering landscapes and embrace innovative solutions is highly valued.

Our team has deep understanding of EDC tools like Rave, Veeva, InForm, openClinica, clinical data repositories like SAS LSAF, Oracle LSH, eCS elluminate, Metadata Repositories like Nurocor, Sycamore, Formedix, statistical computing environments like Sycamore, Domino, Sas Viya systems, Clinical data review systems, RBQM systems, and more. With experience as solution architects, business analysts, or techno-functional SMEs in GXP compliant validated environments, they guide the creation of solution, data flows and strategies for building clinical development and data management systems. Their offerings encompass technical advisory, consultancy, developing of clinical data platforms and products, system integration, and intelligent automation. Additionally, the team has created innovative tools through advanced technology and data science, aiding numerous clients in expediting the drug development process. What you'll Do: You will design & implement various innovative solutions in the realms of Clinical data management, analytics Work in clinical data management and analytics area as part of strategy building, assessment and technology implementation project as business and data analyst Lead and participate in clinical business process discussions with clients, identify requirements and user stories Conduct online interviews and workshops to gather requirements to support the business needs of users Author high-level user stories and develop related tasks, acceptance criteria and review test cases Participate in clinical business process discussions with clients, identify requirements and user stories Work closely with project teams in creating Requirement Specifications, RTM and other project documents Plan and facilitate various Agile meetings and artefacts, including sprint planning, review & retrospectives, daily stand-ups Perform business process modelling, data flow, user experience modeling, and basic solution architecture diagramming Act as techno-functional Liaison between client business user and project engineering team to provide correct business context, business rules The ideal candidate will have a strong background in the project lifecycle, with experience in large and complex programs. They will have a track record of successfully managing people, and be able to provide support and escalation routes for queries, define and plan analysis deliverables, and agree on analysis approaches. Experience in building a Business Analysis capability, mentoring and upscaling more junior colleagues, and contributing to the growth of a BA community is also essential. What you'll Bring bachelors degree Pharma/ Bioinformatics / Medicine or related disciplines Masters degree in Business Analyst, Engineering or Science preferred. 5-10 years of experience working within Life Science Domain as solution architect / business analyst / data analys t is required. Experience of working in building solution around drug development - clinical data management areas like discrepancy management, clinical data repositories, clinical issue management, Operational data repositories, operational reports Experience working in end-to-end Clinical Data Repository implementation with Biometrics space will be preferred. Experience working in Clinical data management area as BA or Subject matter expert Understand the end to end process for clinical data management and Analysis Exposure to clinical data coordination and clinical data management area. Experience in building and delivering GxP compliant solutions for large enterprise program is required. Exposure to programming language like R, Python and SAS is preferred.

ZSs Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What you'll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What you'll Bring A masters degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (eg, text mining, social listening, recommender systems, predictive modeling, etc). A proficiency in at least one programming language (eg, Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English.

A key enabler of our services is leveraging data in delivering client solutions. The data available about customers is getting richer and the problems that our customers are trying to answer continue to evolve. In our endeavor to stay ahead in providing solutions to these evolving complex problems, ZS has set up an Advanced Data Science which has three major focus areas: Research the evolving datasets and advanced analytical techniques to develop new offerings/solutions Deliver client impact by collaboratively implementing these solutions Provide thought leadership by developing the ZS Point of View in this space Data Science Managers (DSMs) design, develop and execute analytic techniques on large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. DSMs will develop new offerings/solutions, drive client impact by delivering client solutions and shape the ZS point of view in this space. You will be responsible for applying analytical techniques to model complex business problems, uncovering insights, and identifying opportunities using statistical, algorithmic, mining, and visualization techniques. What you'll Do: Lead and mentor a team of data scientists, providing guidance and support to ensure the successful execution of client projects. Develop and implement data science strategies that align with the overall goals of the AI team and the organization. Drive business and strategy development through project delivery and client relationship management; Develop/sell new business opportunities Direct multiple projects simultaneously, honing analytic and project management skills; Play a key role in development of data science capabilities and offerings that create scale and advance our analytic platform; Motivate, coach and serve as a role model for project team members Provide thought leadership and innovation through research and publication. What you'll Bring: PhD degree in Computer Science, Statistics or related discipline; 8+ years of relevant post-collegiate work experience; in lieu of a PhD, 10+ years of work experience may substitute. Experience with big data, claims analytics, advanced analytics concepts and algorithms (eg text mining, social listening, recommender systems, predictive modeling, Gen AI, proficiency with large language models etc); Relevant programming background (eg Python/R); Strong understanding of relevant tools/platforms (eg cloud platforms such AWS/Azure); Proven track record of business development Agile project planning and project management experience; Team management and skill development experience; Relevant domain knowledge preferred; (healthcare, pharma); Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem solving skills;

Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What you'll Bring A masters degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (eg, text mining, social listening, recommender systems, predictive modeling, etc A proficiency in at least one programming language (eg, Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English.

Build, Refine and Use ML Engineering platforms and components. Scaling machine learning algorithms to work on massive data sets and strict SLAs. Build and orchestrate model pipelines including feature engineering, inferencing and continuous model training. Implement ML Ops including model KPI measurements, tracking, model drift & model feedback loop. Collaborate with client facing teams to understand business context at a high level and contribute in technical requirement gathering. Implement basic features aligning with technical requirements. Write production-ready code that is easily testable, understood by other developers and accounts for edge cases and errors. Ensure highest quality of deliverables by following architecture/design guidelines, coding best practices, periodic design/code reviews. Write unit tests as we'll as higher level tests to handle expected edge cases and errors gracefully, as we'll as happy paths. Uses bug tracking, code review, version control and other tools to organize and deliver work. Participate in scrum calls and agile ceremonies, and effectively communicate work progress, issues and dependencies. Consistently contribute in researching & evaluating latest architecture patterns/technologies through rapid learning, conducting proof-of-concepts and creating prototype solutions. What you'll Bring A masters or bachelors degree in Computer Science or related field from a top university. 4+ years hands-on experience in ML development. Good understanding of the fundamentals of machine learning Strong programming expertise in Python, PySpark/Scala. Expertise in crafting ML Models for high performance and scalability. Experience in implementing feature engineering, inferencing pipelines, and real time model predictions. Experience in ML Ops to measure and track model performance, experience working with MLFlow Experience with Spark or other distributed computing frameworks. Experience in ML platforms like Sage maker, Kubeflow. Experience with pipeline orchestration tools such Airflow. Experience in deploying models to cloud services like AWS, Azure, GCP, Azure ML. Expertise in SQL, SQL DBs. Knowledgeable of core CS concepts such as common data structures and algorithms. Collaborate we'll with teams with different backgrounds / expertise / functions