Firms works with clients in globally in the area of Change Management Consulting and Change Analytics. This offering helps drive clients change strategy, change enablement efforts and development of change capability. The Change Management group offers Change Consulting experience in a distributed environment and client facing environment. The incumbent will be part of the Change Management offering group servicing clients globally from India or abroad as the case may be. Change Management professionals need to have the following experience - o Work Experience Has been part of Change management team or has been a lead for a technology/non-technology related change project. The candidate should have been involved in at least one full cycle within a Change Management work stream of a project. o Role Has work experience Stakeholder Engagement, Impact Assessment, Communication Planning, Change Measurement (Change Readiness/Surveys, Business Readiness). Additional experience in Organization Design/Culture and Change Diagnostics/Analytics areas would be beneficial. As part of project delivery the incumbent may need to:o Lead or support a lead in execution of change activities for a global region across client worksiteso Work with client global change and communication leads to ensure understanding of global change approach and execution requirementso Support regional deployment lead in establishing and driving local teams, from a change and communication perspectiveo Requirement o Work experience post MBA/Masters degree (emphasis on Human Resources, General Management, Organizational Behavior) off which at least 2+ years of experience in Change Management related projects is desired. General Skillso Excellent communication skills with strong written and verbal English. o Work in any of the growth markets is a plus: America, Europe, APAC would be a pluso Excellent team work and ability to work in a distributed delivery environmento Experience in managing change related to ERP such as SAP/Oracle etc is a plus.

Work from Office at Virar, Normal working days & timingsRole overviewOverseeing General Ledger ActivitiesManaging Accounts Payable and ReceivableConducting Regular Audits and ReviewsPreparing and Presenting Financial StatementsHandling Tax Planning and ComplianceMonitoring Cash Flow and Financial PerformanceFinancial AnalysisManaging Financial SystemsStakeholder CommunicationManaging the month-end closing process, financial statement generation, and work paper documentation and analysis.Ensuring compliance with accounting standards, accrual accounting, and revenue recognition.Overseeing budget preparation and forecasting, conducting financial analysis, and reconciling bank statements.Handling payroll processing and researching and analyzing financial statements.Collaborating with cross-functional teams to support financial goals.Supervising and mentoring accounting staff.Supervising accounting staff and collaborating with property-level accounting teams.Performing bank and balance sheet reconciliations, preparing financial statements, and analyzing cash flow.Collaborating with the leadership team on cash flow management, funding of mortgages, and accounts payable.Processing accounts payable batches and check runs on a weekly basis.Assisting in the preparation of documents and analysis for annual audits.Conducting research and analysis of financial discrepancies.Preparing budgets and forecasting reports, reconciling bank statements, and managing payroll.Proficiency in Excel and strong knowledge of accounting concepts, accrual accounting, and revenue recognition.Excellent time management and communication skills.

Book keeping General entries Accounts payable , receivable, Bills & invoicing updates in ERP Invoicing Tax entries Reconciliation Maintain accurate accounting records Assist the Finance team in day-to-day financial activitiesManaging the payroll process and preparing payroll reportsOverseeing the calculation of employee pay and deductions, including taxes and benefitsEnsuring compliance with government regulations, such as tax laws and provident fundResolving payroll issues and answering employee queriesPreparing monthly GST summaryConsolidating the time logs and preparing timesheets for clientsBe responsible for all the monthly reimbursements from employeesManaging the travel of employees to the clients site including hotel bookingsEffective and frequent communication with the stakeholders on all modes of communicationBalance sheet Closing of books Support Deptt Head in closing activities Manage and maintain financial records, including accounts payable and receivable, invoices, and bank statements.Prepare and review financial reports, such as balance sheets, income statements, and cash flow statements.Analyze financial data to identify trends, discrepancies, and opportunities for improvement.Assist in financial planning, budgeting, and forecasting activities.Ensure compliance with financial regulations and company policies.Communicate and collaborate with internal and external stakeholders, such as vendors, clients, and auditors.Provide support during audits and financial inspections.

1 Month to ASAP joinees required As a Developer, you will play a crucial role in designing robust architectures and ensuring the successfulimplementation of our software products. You will work with a team of developers anddata engineers to leverage your expertise in Python, data engineering technologies, andcloud platforms to drive the development process. Additionally, you will work closely witha Technical Architect to understand and implement the solutionarchitecture and debug issues in production.Responsibilities:Design and implement scalable, efficient, and maintainable software solutions.Deliver high-quality, well-documented, and maintainable code.Implement and manage thorough testing processes, including automated testing.Develop processes and practices to debug issues that arise in productionenvironments.Implement best practices for coding standards, testing, and deployment.Develop and maintain data scraping/integration solutions to collect and processlarge volumes of data.Collaborate with product managers, machine learning engineers, and otherstakeholders to understand requirements and deliver high-quality products.Work closely with the Technical Architect to understand the solution architectureand implement it effectively.Stay updated with the latest industry trends and technologiesRequired Skills and Experience:Education: Bachelor's or Master's degree in Computer Science, Engineering, ora related field.Experience:Minimum 4 years experience in software development.Knowledge of data privacy and security best practices.Familiarity with agile development methodologies.Have a good knowledge of architecture, design patterns, and advancedsoftware development techniquesTechnical Skills:Python: Advanced proficiency in Python programming and experiencewith its libraries and frameworks such as Pandas, NumPy, Flask, Django,FastAPI etc.Data Scraping: Experience with data engineering tools and frameworkssuch as BeautifulSoup, Scrapy, Selenium, Playwright etc. Experience withdata pipeline tools such as Airflow, kafka, Spark would be a plusAWS:Compute Services: Experience with AWS compute services suchas EC2, Lambda, EKS and ECS.Storage Services: Experience with AWS storage services like S3and EBS.Databases: Knowledge of AWS database services including RDS(e.g., PostgreSQL, MySQL) and MongoDB.Networking: Understanding of AWS networking services like VPC,Route 53, and CloudFront.Security: Experience with AWS Identity and Access Management(IAM), AWS Key Management Service (KMS), and other securityservices.Deployment and Management: Experience with CI/CD pipelinesand tools like Jenkins, GitLab CI and Terraform/Terragrunt, Flux CDMonitoring and Logging: Familiarity with AWS CloudWatch andAWS CloudTrail, DataDog, PagerDutyContainerization: Experience with Docker and container orchestrationtools like Kubernetes. Ability to create and manage Docker containers fordeploying applications.Database Management: Experience working with SQL and databasemanagement systems such as PostgreSQL, MySQL, NoSQL databaseslike Mongodb, ElasticDB. Experience with graph databases would be anadvantageAPI Development: Experience in designing and consuming RESTfulAPIs. Familiarity with API management and documentation tools such asSwagger or Postman. Worked with FastAPI and/or FlaskAPI. Experiencewith Async.io would be a plusVersion Control: Proficiency with version control systems like Git,including branching, merging, and pull requests.Testing Automation: Experience in setting up and using automatedtesting tools and frameworks, such as Selenium, PyTest, or JUnit.Documentation: Ability to create and maintain detailed sequencediagrams and contribute to architectural documentation.Debugging: Worked on debugging issues that arise in productionenvironments.Soft Skills:Problem-Solving: Strong analytical and problem-solving skills.Communication: Excellent verbal and written communication skills.Collaboration: Ability to work collaboratively with cross-functional teams.Adaptability: Ability to adapt to new technologies and methodologies quickly.

We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights.- Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success.- Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field.- Minimum of 4 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus.- Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives.- Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn).- Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Pytorch.- Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing.- Experience of building & deploying machine learning models in cloud environment: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.)- Knowledge of the MLOps process and AI governance- Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making.- Excellent verbal and written communication skills- Proven experience leading data science projects, managing timelines, and delivering results within deadlines.- Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning.

We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights.- Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success.- Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field.- Minimum of 4 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus.- Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives.- Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn).- Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Pytorch.- Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing.- Experience of building & deploying machine learning models in cloud environment: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.)- Knowledge of the MLOps process and AI governance- Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making.- Excellent verbal and written communication skills- Proven experience leading data science projects, managing timelines, and delivering results within deadlines.- Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning.

We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights.- Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success.- Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field.- Minimum of 4 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus.- Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives.- Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn).- Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Pytorch.- Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing.- Experience of building & deploying machine learning models in cloud environment: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.)- Knowledge of the MLOps process and AI governance- Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making.- Excellent verbal and written communication skills- Proven experience leading data science projects, managing timelines, and delivering results within deadlines.- Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning.

Performance Objectives: Financial Leads marketing and account management activities to meet business development and revenue targetsDevelops and executes industry research and business development plans by identifying key target industries, groups, associations, etc.Work closely with others to assist them in implementing business plans that achieve profit and revenue goals through both sales and consulting activitiesAssess the marketplace for client opportunities, then nurture qualified leads into profitable new business wins Personally lead marketing and sales efforts for the Rewards practice in alignment with regional and company practices and initiativesActively represent Willis Towers Watson in the marketplace through varied public Relations initiatives that build a strong brand image for our consulting business and support thought leadership ExcellenceManages large and medium-sized projects paying strict adherence to strong project management and meeting client requirementsUnderstand key areas of work across job evaluation, executive compensation, rewards survey offerings etc. and deliver high-quality work independently and/or with others in the team.Focus on quality through checking/reviewing work done by others.People & ClientsCollaborate with others by conveying ideas, issues and information in a fluent and logical manner and providing constructive peer feedbackMentor junior members of the team in areas of client management, business development and delivery of projects.Develop competencies in rewards areas to support broad scope of projects.Support others on projects/bids to formulate unique approaches to solve their business problems.Build positive relationships with clients/ prospects through work interactions.QualificationsAt least 7 years of relevant experienceMasters degree in business management or human resourcesDemonstrated ability in selling and delivering across most areas of Rewards i.e. Data, Rewards Design, Executive Compensation and Job EvaluationDemonstrated ability in developing and participating in business presentationsDemonstrated capacity to propose and win profitable new businessDemonstrated ability to build strong client and associate working relationshipsAble to produce high quality written work, such as business reports or proposalsAble to convey ideas in coherent, fluent and logical mannerLeading projects across Rewards and also contributing to projects across Talent Management, Retirement Consulting etc.Understanding Compensation and Benefits, Project management, Client management and Sales / Bend for sales Proven project management skillsDemonstrated ability to lead and develop a team of high performing consulting professionals Self-driven achiever with a value for teaSkills : - HR change management, HR strategy, HR Consulting, Human consulting, compensation benchmarking, Executive compensation, Total rewards, Human capital consulting, compensation & benefits, HR advisory, HR business partner, OD intervention, Employee engagement, Employee lifecycle mgmt, organisational culture analysis, HR-Setup design, human capital advisory, human capital management, HR advisor, training & development, HR Consulting, HR consultant

Ideal qualifications, skills and experiences we are looking for are:- We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights.- Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success.- Doctorate/Master's/bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field.- Minimum of 3 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams. Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus.- Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives.- Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn).Very strong python and exceptional with pandas, NumPy, advanced python (pytest, class, inheritance, docstrings).- Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Py torch.1. Above 6 yrs team leading and handling projects with end-to-end ownership is a must2. Deep understanding of ML and Deep Learning is a must3. Basis NLP experience is highly valuable.4. Pyspark experience is highly valuable.5. Competitive coding experience (LeetCode) is highly valuable.- Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing.- Experience of building & deploying machine learning models in cloud environment: Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.)- Basic MLOPs experience with FastAPIs and experience of docker is highly valuable and AI governance- Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making.- Excellent verbal and written communication skills- Proven experience leading data science projects, managing timelines, and delivering results within deadlines.- Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning.

The role will be responsible to oversee data analytics team and be the technical head of a global workforce across a multi-country team. The objective of the role is to ensure timely, robust, and accurate research, conception, delivery and ongoing monitoring of analytical products and frameworks. Effective communication between key stakeholders (actuarial, statistical, technology, and data teams) is vital to ensure delivery. Key requirements Must have exceptional data sense and prior experience in healthcare data analytics Strong experience with analytics products Prior experience with cloud environments (azure, aws, etc) & large datasets Experience writing and reviewing code in sql and pyspark; extreme attention to detail and quality Experience managing >=5 person teams Prior experience with clientsSoft skills: very strong communication, lots of initiative--but also comfortable asking for help, skill in coordinating across multiple teams, passion for learning new data and analyticsCore responsibilities include:Translate client's guidance on roadmap & key priorities into sprints, user stories, and requirements wikisEnsure high quality execution of product including:Gather requirements & scope tasks for the sprintsKeeping standards high, including defining acceptance criteria/testing plans plus code reviewReviewing the team's work:Full code review for the data analystsBusiness/requirements review for non-DAs Own the team Agile ceremonies includingRunning them with skill and receiving ongoing coaching from our Agile leaders within AH*Realize value from these ceremonies - focus on translating these ceremonies into constant team improvementScope: daily standup, backlog refinement, sprint kickoff, sprint review, retrospective, etcCommunicate with the client as part of IPP implementation Owning and executing distinct work streams within larger analytics engagement Delivering insights based on complex data analysis, within relevant verticals (insurance, health care, banking, etc.) Hands on experience in data manipulation skills in SQL/Python. Experience in exploratory data analysis and feature engineering Must have strong capabilities in problem solving, managing own work diligently, thoroughly documenting own work, succinctly communicating analysis process and outcomes, as well as effectively working with clients Basic understanding of at least one business area and its components (Healthcare, Insurance, Banking, Telecommunications, Logistics) Familiarity with / Exposure on cloud engineering (preferred) Ability to translate technical information to non-technical stakeholders and vice versa Strong verbal and written communications skills Actively seeks information to clarify customer needs to deliver better experience Acts promptly to ensure customer needs are fulfilled What skills do you need?Behavioral skills Exceptional leadership and communication skills across a wide range of stakeholders Ability to work cohesively in a team environment while balancing multiple priorities High level of attention to detail, resilience, enthusiasm, energy and drive Positive, can-do attitude focused on continuous improvement Ability to take feedback and constructive criticism to drive improved delivery Rigorous ability to solve complex analytical problems, optimize environments and communication with stakeholders Excellent management, co-ordination and communication skills Technical SkillsA deep understanding of the technical tools used in analytical domain is required as the bases for development of analytical products, as such the following core understandings are required: Practical experience in SQL, python, Power BI and advanced excel in the context of data exploration and manipulation. Knowledge of data science and solution architecture on the cloud -Azure cloud (preferred) Knowledge of cloud technologies such as data bricks, azure studio, data factory, etc. (preferred) Understanding of data science in patient health management, provider profiling, healthcare reporting, and other key healthcare technologies etc. is beneficial but not required Understanding of data science in fraud, operations, lifestyle, behavioral environment is beneficial but not required Qualifications Bachelors degree in engineering, Data Science, Statistics, Mathematics, or related quantitative field. MBA graduate from a Tier-1 institute or a masters degree in relevant field Minimum 5 years of experience in data and analytics Minimum 4 years of experience in leading analytical teams, project management and stakeholder management Additional key skills we are looking atStakeholder Management, Client Communication, Team Management, Project Management, Problem Solving, Python, SQL, Storytelling, Presentation Skills

Core responsibilities include:Owning and executing distinct work streams within larger analytics engagementDelivering insights based on complex data analysis, within relevant verticals (insurance, health care, banking, etc.)Hands on experience in data manipulation/processing skills using Python.Experience in exploratory data analysis and feature engineeringMust have strong capabilities in problem solving, managing own work diligently, thoroughly documenting own work, succinctly communicating analysis process and outcomes, as well as effectively working with clientsBasic understanding of at least one business area and its components (Healthcare, Insurance, Banking, Telecommunications, Logistics)Familiarity with / Exposure on cloud engineering (preferred)Ability to translate technical information to non-technical stakeholders and vice versaStrong verbal and written communications skillsActively seeks information to clarify customer needs to deliver better experienceActs promptly to ensure customer needs are fulfilledWhat skills do you need?Behavioral skillsExceptional communication skills across a wide range of stakeholdersAbility to work cohesively in a team environment while balancing multiple priorities.High level of attention to detail, resilience, enthusiasm, energy and drivePositive, can-do attitude focused on continuous improvementAbility to take feedback and constructive criticism to drive improved deliveryRigorous ability to solve complex analytical problems, optimize environments and communication with stakeholdersGood time management, co-ordination and communication skillsStrong problem-solvingTechnical SkillsA deep understanding of the technical tools used in analytical domain is required as the bases for development of analytical products, as such the following core understandings are required:Strong experience is writing code in SQL, python/PySparkAdvanced excel in the context of data exploration and manipulation.Knowledge of cloud technologies such as data bricks, azure studio, data factory, etc. (preferred)Understanding of large data and exceptional data sense is mandatoryAny knowledge of data or patient health management, provider profiling, healthcare reporting, and other key healthcare technologies etc. is beneficial but not required.Prior experience with clients is preferredHealthcare background is preferred.QualificationsBachelors degree in engineering, Data Science, Statistics, Mathematics, or related quantitative field.MBA graduate from a Tier-1 institute or a masters degree in relevant fieldMinimum 2 years of experience in data and analytics and stakeholder management.Additional key skills we are looking atStakeholder Management, Client Communication, Team Management, Project Management, Problem Solving, Python, SQL, Storytelling, Presentation Skills