52 Model Building Jobs - Page 2

About Client Hiring for One of the Most Prestigious Multinational Corporations! Job Description Job Title : Anaplan Sr Model Builder Qualification : Any Graduate or Above Relevant Experience : 9 to 12 Years Required Technical Skill Set (Skill Name) : Anaplan Model Builder , Location : Hyderabad CTC Range : 20 LPA- 30 LPA Notice period : Any Shift Timing : N/A Mode of Interview : Virtual Mode of Work : WFO( Work From Office) Pooja Singh KS IT Staffing Analyst Black and White Business solutions PVT Ltd Bangalore, Karnataka, INDIA. 8067432472 I pooja.singh@blackwhite.in I www.blackwhite.in

About Client Hiring for One of the top most MNC!! Job Description Job Title : Anaplan Sr Model Builder Qualification : Any Graduate or Above Relevant Experience : 5 to 14 Years Overview The focus of this position will be to help design, build, and manage financial and operational models within Anaplan in order to provide key business and financial insights to business stakeholders. The candidate will be a part of a global team that is on a digital transformation mission and is working to integrate different business platforms in order to create a seamless architecture that will help facilitate intelligent and intuitive financial, as well business, planning along with generating material business insights. The individual will work closely with Anaplan solution architects, Anaplan junior-level model builders and the Anaplan team, along with various functional stakeholders. The individual will help translate existing business processes into Anaplan. The candidate must also demonstrate excellent communication and technical skills. Must-Have 1+ year modeling with Anaplan or end-to-end Anaplan implementations Anaplan Certified Model Builder or above Anaplan model building experience is must and having exposure to other EPM technology for e.g., SAP BPC, SAP SAC, Oracle Hyperion, TM1, etc. will be an added advantage. Understanding of forecasting process and various business functions (Sales, Operations, Finance, etc.). Strong understanding of Planning Budgeting & Forecasting is a must. Ability to collaborate effectively and work as part of a team Strong attention to detail Critical thinking and analytical problem-solving skills Project management certifications and agile certifications will be an added advantage Responsibility of / Expectations from the Role Assist in the collection of business requirements Assist in current-state process mapping exercises Articulate design and documentation for Anaplan models (process map, user guide, solution design document) Translate business requirements in the form of Excel models and/or user stories into efficient and scalable, high-functioning Anaplan models. Successfully build and identify various dimensions, lists (hierarchies) and line items, and create a user-friendly solution Create Hub-Spoke structures along with dynamic user Pages Work with subject area data experts to identify new or enhanced data to support the new or enhanced planning capabilities Collaborate with Business Architects to stay current with business design as well as to support deployed solutions for the associated stakeholders Develop test cases and assist in UAT for technical and functional acceptance Closely follow Anaplan model building best practices (e.g. DISCO, PLANS, Planual) Location : Hyderabad CTC Range : 20 LPA TO 40PA Notice period : Any Shift Timing : N/A Mode of Interview : VIRTUAL Mode of Work : WORK FROM OFFICE Vardhani IT Staffing Analyst Black and White Business solutions PVT Ltd Bangalore, Karnataka, INDIA. 8686127477 I vardhani@blackwhite.in I www.blackwhite.in

Position: Anaplan Consultant Location: Hyderabad, India Duration: Full time What we are looking for: Candidate should have total experience of 4-8 years in IT Industry. Minimum 3-5 Yrs. experience in relevant Anaplan development. Hands on experience on Model Builder, Financial Planning & Analysis. Hands on experience in implementing/support Agile projects in Financial/Sales Forecasting/Workforce planning using Anaplan Technology. Integration experience with any tool to lead the Anaplan data integrations with different systems. Experience with AM & Anaplan Way implementation Methodology Should be certified in Level-1, Level-3 & Level-3. Should have deep understanding of multi-dimensional modelingL. Preferred to have very good functional knowledge in FP&A or Supply Chain areas. Should be able to lead and mentor the team members. Good verbal/written communication skills is a must Working at TekLink(HGS) At TekLink our employees get an open and collaborative environment and gain experience working for customers in various industries while solving complex business problems. They get support to learn new technologies as well as to enhance existing skills to further their career growth. We offer: Very competitive renumeration Excellent Benefits including Hot Skills allowance, Shift allowance, Health, accidental and Life coverage. Excellent performance based annual increments. Fast paced growth opportunities International work experience Opportunity to participate in various sports and CSR activities.

* Working experience with Snowflake & ADF. * Experience in cloud based ETL implementations. * Good experience in working ETL tool and very good knowledge with SQL. * Creating of ETL Mappings to load data from files (& other feeds) and SQL server databases to Data Warehouse on cloud. * Create & execute SQL tasks. * Deploying ETL packages to SSIS production servers. * Understanding the SSIS packages, analyse queries in SSIS packages and build models using DBT. * Good Communication * Ability to work individually Primary Skills: Snowflake, DBT, ADF, Azure DevOps and good with SQL queries Secondary Skills: Any ETL experience (SSIS is preferred)

Anaplan Sr Consultant Looking for a world of opportunities and a fulfilling career? We are a creative digital consultancy. We combine leading digital and creative capabilities with the deep industry knowledge and experience Deloitte is known for. That means, our clients can bring us their biggest challenges, knowing we have what it takes to bring a business vision to life. Work you’ll do - Practitioners will integrate and learn from talented colleagues who have focused around core domains that we may not have had visibility into. - Our move towards integrated solutions demands that everyone adopt a growth mindset and invest in expanding their understanding of what we bring to the marketplace. - Practitioners will be able to develop skills in a Portfolio that represents the unification of the some of the most diverse, globally recognized brands and businesses in the organization—an exciting opportunity for their career development. - Understanding clients’ Sales Management Strategy and transforming them to multidimensional technologies - Articulate design and documentation of requirements to cover business processes - Translate these requirements to enterprise models with associated modules, lists / line items, and calculations as supported by multi-dimensional Anaplan platform - Deliver Planning Solutions which meets their Business requirements in a time efficient manner - Reviewing use cases to conceive and execute proof-of-concept models - Leverage the following hands-on experiences to deliver work - - Anaplan cloud tool - Overall planning knowledge would be an added advantage - Leverage good communication, presentation and articulation skills in both verbal and non-verbal communication - Communicate and collaborate with team members across locations to accomplish project goals - Lead routine conference calls and participate in client-facing meetings, detail action items and follow through on tasks - Leverage knowledge of data preparation activities such as extraction, cleansing, aggregation and data analysis - Generate, validate, publish and deliver reports as per the business requirement - Work on ad hoc reporting requests, maintain data quality of production and ad-hoc reports - Respond to incident and service requests as per the defined SLAs - Work on break-fixes and enhancement requests - Deliver assigned work successfully and on-time with high-quality - Develop documentation for delivered solution - Assist in all phases of testing - The candidate must have good troubleshooting skills and be able to think through issues and problems in a logical manner - Prior experience on client supporting roles and issues identification and debugging would be an added advantage Our Digital Customer team focuses on designing and implementing sales and service experiences, capabilities, and architectures to bring customer strategies to life. Our ambition is to be the best in the world at driving customer transformation through the development of clever commercial strategies, distinctive experiences, and the application of digital technologies. We help make the “creative digital consultancy” real and in doing so, make new markets. The Team The Customer & Marketing Offering Portfolio integrates our most differentiated, globally recognized customer and marketing businesses. It focuses on owning the commercial agenda through growth strategy, enhanced user experiences, and engagement through the entire customer lifecycle. From our core strengths in creative design, to strategy, platforms and solutions, as well as our continued growth through acquisitions, we are specifically positioned to bring fully integrated solutions to our clients. We are all consumers and personal marketers. This reality is what makes the Customer & Marketing Offering Portfolio so exciting. What we deliver in the market each and every day directly impacts who we are as customers. We are able to deliver on outcomes for the very products and services that we have the privilege of engaging with ourselves. Professionals will serve our clients through the following types of work: Sales Excellence & Service Excellence | delivers sales and service strategies and plans, operating model definition, incentive design and implementation, and operations support for digitally-enabled sales, channel, and customer service capabilities Digital Experience | creates engaging omni-channel digital experiences across web, mobile, AR/VR, voice, gesture, IoT, and video Flexible Consumption | the commercial strategy, operating model definition, and capability delivery of subscription/flexible consumption business models Digital Foundry | a flexible, end-to-end delivery model emphasizing innovation and disruption DigitalMix | an integrated set of platforms to enable business re-platforming Qualifications and Experience Required: - A minimum of 5 years of consulting and/or relevant industry experience - Proficiency in writing Anaplan logics and overall knowledge of database concepts - Ability to design and develop reports and dashboards as per business requirement - Experience with various data mining and business intelligence tools, such as Hyerion, SAP BPC, Cognos TM1, Tableau, Microsoft Access - Good understanding of the planning in Sales, Operations & Finance domain - Ability to translate from model-building in Excel to multi-dimensional technologies - Experience participating in AGILE, Waterfall scrum sessions - Understanding of relational database theory - Strong analytical and communication skills - Excellent interpersonal and collaboration skills - Ability to effectively prioritize and execute tasks in a high-pressure environment - Must possess critical thinking, problem solving, and decision-making skills - Professional Qualification- B.E/B.Tech/MCA/MSC/MS

Anaplan Consultant Looking for a world of opportunities and a fulfilling career? We are a creative digital consultancy. We combine leading digital and creative capabilities with the deep industry knowledge and experience Deloitte is known for. That means, our clients can bring us their biggest challenges, knowing we have what it takes to bring a business vision to life. Work you’ll do - Practitioners will integrate and learn from talented colleagues who have focused around core domains that we may not have had visibility into. - Our move towards integrated solutions demands that everyone adopt a growth mindset and invest in expanding their understanding of what we bring to the marketplace. - Practitioners will be able to develop skills in a Portfolio that represents the unification of the some of the most diverse, globally recognized brands and businesses in the organization—an exciting opportunity for their career development. - Understanding clients’ Sales Management Strategy and transforming them to multidimensional technologies - Articulate design and documentation of requirements to cover business processes - Translate these requirements to enterprise models with associated modules, lists / line items, and calculations as supported by multi-dimensional Anaplan platform - Deliver Planning Solutions which meets their Business requirements in a time efficient manner - Reviewing use cases to conceive and execute proof-of-concept models - Leverage the following hands-on experiences to deliver work - - Anaplan cloud tool - Overall planning knowledge would be an added advantage - Leverage good communication, presentation and articulation skills in both verbal and non-verbal communication - Communicate and collaborate with team members across locations to accomplish project goals - Lead routine conference calls and participate in client-facing meetings, detail action items and follow through on tasks - Leverage knowledge of data preparation activities such as extraction, cleansing, aggregation and data analysis - Generate, validate, publish and deliver reports as per the business requirement - Work on ad hoc reporting requests, maintain data quality of production and ad-hoc reports - Respond to incident and service requests as per the defined SLAs - Work on break-fixes and enhancement requests - Deliver assigned work successfully and on-time with high-quality - Develop documentation for delivered solution - Assist in all phases of testing - The candidate must have good troubleshooting skills and be able to think through issues and problems in a logical manner - Prior experience on client supporting roles and issues identification and debugging would be an added advantage Our Digital Customer team focuses on designing and implementing sales and service experiences, capabilities, and architectures to bring customer strategies to life. Our ambition is to be the best in the world at driving customer transformation through the development of clever commercial strategies, distinctive experiences, and the application of digital technologies. We help make the “creative digital consultancy” real and in doing so, make new markets. The Team The Customer & Marketing Offering Portfolio integrates our most differentiated, globally recognized customer and marketing businesses. It focuses on owning the commercial agenda through growth strategy, enhanced user experiences, and engagement through the entire customer lifecycle. From our core strengths in creative design, to strategy, platforms and solutions, as well as our continued growth through acquisitions, we are specifically positioned to bring fully integrated solutions to our clients. We are all consumers and personal marketers. This reality is what makes the Customer & Marketing Offering Portfolio so exciting. What we deliver in the market each and every day directly impacts who we are as customers. We are able to deliver on outcomes for the very products and services that we have the privilege of engaging with ourselves. Professionals will serve our clients through the following types of work: Sales Excellence & Service Excellence | delivers sales and service strategies and plans, operating model definition, incentive design and implementation, and operations support for digitally-enabled sales, channel, and customer service capabilities Digital Experience | creates engaging omni-channel digital experiences across web, mobile, AR/VR, voice, gesture, IoT, and video Flexible Consumption | the commercial strategy, operating model definition, and capability delivery of subscription/flexible consumption business models Digital Foundry | a flexible, end-to-end delivery model emphasizing innovation and disruption DigitalMix | an integrated set of platforms to enable business re-platforming Qualifications and Experience Required: - A minimum of 3 years of consulting and/or relevant industry experience - Proficiency in writing Anaplan logics and overall knowledge of database concepts - Ability to design and develop reports and dashboards as per business requirement - Experience with various data mining and business intelligence tools, such as Hyerion, SAP BPC, Cognos TM1, Tableau, Microsoft Access - Good understanding of the planning in Sales, Operations & Finance domain - Ability to translate from model-building in Excel to multi-dimensional technologies - Experience participating in AGILE, Waterfall scrum sessions - Understanding of relational database theory - Strong analytical and communication skills - Excellent interpersonal and collaboration skills - Ability to effectively prioritize and execute tasks in a high-pressure environment - Must possess critical thinking, problem solving, and decision-making skills - Professional Qualification- B.E/B.Tech/MCA/MSC/MS

Short Description: Strategy and Enterprise Analytics Team provides insights and decision support tools to a broad range of business partners in sustainability and Eelectric vehicles. We drive to deliver the most value to Ford through critical thinking, AI/ML, big data analytics and optimization techniques on Google Cloud Platform (GCP). We are looking for a manager / product owner to lead a multi-skill team of data scientists, data engineers and software engineers in all phases of ongoing and future analytics services and product development, including problem formulation, data identification, model development, validation, and product launch. Description: Strategy and Enterprise Analytics Team provides insights and decision support tools to a broad range of business partners in sustainability and Eelectric vehicles. We drive to deliver the most value to Ford through critical thinking, AI/ML, big data analytics and optimization techniques on Google Cloud Platform (GCP). The team leverages advanced analytics and domain knowledge to develop analytics models, transformational decision-support tools, and services to: Increase profit while meeting North American regulatory compliance. Support strategic initiatives for electrification, especially in public charging, home power management, and energy services. Design and build solutions that support holistic decision making at enterprise level (OGC) We are looking for a manager / product owner to lead a multi-skill team of data scientists, data engineers and software engineers in all phases of ongoing and future analytics services and product development, including problem formulation, data identification, model development, validation, and product launch. The candidate should have great independence, exceptional collaboration and leadership skills, and self-discipline to guide original applied research and choose appropriate methodologies to solve related problems. We are especially excited about candidates with supervisory experience, passion for hands-on work, strong technical skills and growth mindset who demonstrate a passion for developing talents and applying state-of-the-art solutions to novel and challenging problems. Our team utilizes a diverse set of tools and methodologies from different technical fields including Machine Learning, Statistical Analysis, Simulation, Big Data platforms and more. We understand that you cannot be an expert in everything, and the set of techniques and technologies we are using today may change over time. Given the required qualifications, we are looking for candidates who are lifelong learners, driven, and curious. Responsibilities: Lead a group of data scientists, data engineers, and software engineers, to solve exciting and meaningful problems. Translate business needs into analytical problems, work hands-on along with the team, judge among candidate ML models, contribute towards best practices in model development, conduct code reviews, research state-of-the art techniques and apply them for the team and business needs. Develop and apply analytical solutions to address real-world automotive and Quality challenges. Initiate and manage cross-functional projects, building relationships with business partners, and influencing decision makers. Ability to work well under limited supervision and use good judgment to know when to update and seek guidance from leadership. Communicate and present insights to business customers and executives. Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business results. Explore emerging technologies and analytic solutions for use in quantitative model development. Develop and sustain a highly performing team. Ability to collaborate, negotiate, and work effectively with coworkers at all levels. Works with Product Line Owner on creating demand and aligning the requirements to the Business demands. Qualifications: Masters degree in engineering, Data Science, Computer Science, Statistics, Industrial Engineering, or other data-related fields 5+ years of domain experience in delivering analytics solutions in any of these areas (Sustainability / Regulatory, Electrification, Legal, Cycle Planning) 10+ years of experience in analytics domain with 3+ years of supervisory experience Familiarity with SQL, Spark, Hive, and other big data technologies Familiarity with Google Cloud Platform, Python, Spark, Dataflow, BigQuery, GitHub, Qlik Sense, CPLEX, Mach1ML, Power BI Demonstrated performance in working on developing analytical models and deploying them in GCP. Strong drive for results, sense of urgency, and attention to detail Strong verbal and written communication skills with the ability to present to cross functional levels of management. Ability to work in a fast-paced environment with global resources under short response times and changing business needs. Familiarity with NLP, Deep Learning, neural network architectures including CNNs, RNNs, Embeddings, Transfer Learning, and Transformers. BEV experience a plus Deep understanding of Agile & PDO processes Software delivery experience a plus

Axtria: -Axtria is a global provider of award-winning cloud software and data analytics to the life sciences industry. Axtria enables life sciences organizations to transform the product commercialization journey and deliver much-improved healthcare outcomes for patients worldwide. We are acutely aware that our work impacts millions of people and are incredibly passionate about the improvement we can bring to patients lives. Our focus is on delivering solutions that help pharmaceutical, medical device, and diagnostics companies complete the journey from data to insights to action and get superior returns from their investments. As a participant of the United Nations Global Compact, Axtria is committed to aligning strategies and operations with universal principles on human rights, labor, environment, and anti-corruption and taking actions that advance societal goals. Our people are our core strength, and they make us proud of our work; this has helped us grow exponentially and make tremendous strides toward developing great products. It is for the grit, thinking of an entrepreneur, and a family-like environment where each member is valued and treasured that we are growing rapidly. For more information, visit www.axtria.com. Job Title: - Gen AI Experts ( Open across levels – Senior Associate to Associate Director) Job Location: -Gurgaon/Bangalore/Pune/Hyderabad Job Responsibilities: - Be an Individual Contributor in the Analytics and Development team and solve real-world problems using cutting-edge capabilities and emerging technologies based on LLM/GenAI/GPT Software development experience in python is needed as backend for UI based applications Be a part of large delivery teams working on advanced projects when expert assistance is required. Deliver advanced Data Science capabilities to businesses in a meaningful manner through successful proof-of-concept solutions, and later smoothly transition the proof-of-concept into production. Create Technical documents, develop, test, and deploy data analytics processes using Python, SQL on Azure/AWS platforms Can interact with client on GenAI related capabilities and use cases Qualification: - - B-Tech or BE in Computer Science / Computer Applications from Tier 1-2 college OR - Master’s degree in Machine Learning / Statistics / Econometrics, or related discipline from Tier 1-2 college Must have Skills: - Require 3-15 years experience to develop, test, and deploy Python based applications on Azure/AWS platforms Must have basic knowledge on concepts of Generative AI / LLMs / GPT Deep understanding of architecture and work experience on Web Technologies Python, SQL hands-on experience Expertise in any popular python web frameworks e.g. flask, Django etc. Familiarity with frontend technologies like HTML, JavaScript, REACT Skills that give you an edge: - Strong analytical skills to solve and model complex business requirements are a plus. With life sciences or pharma background. We will provide– (Employee Value Proposition) Offer an inclusive environment that encourages diverse perspectives and ideas Deliver challenging and unique opportunities to contribute to the success of a transforming organization Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online Axtria Institute, knowledge sharing opportunities globally, learning opportunities through external certifications Sponsored Tech Talks & Hackathons Possibility to relocate to any Axtria office for short and long-term projects Benefit package: -Health benefits -Retirement benefits -Paid time off -Flexible Benefits -Hybrid /FT Office/Remote Axtria is an equal-opportunity employer that values diversity and inclusiveness in the workplace. Who we are Axtria 14 years journey Axtria, Great Place to Work Life at Axtria Axtria Diversity

Job Title Data AI Telecom Analytics Level 9 - SC Global Network CMT Management Level:9 Consultant Location:Bangalore/Gurgaon/Hyderabad/Mumbai Must have skills: Data Science, Predictive Analytics, Model building, Model Production, Data Analysis, Data Visualization, Storytelling, Communication, Teamwork Good to have skills: Vertex AI, GEN AI, LLMs, RAGs Accenture Strategy Consulting Global Network - Data AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition As part of our Data AI practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. About Comms Media practice within Strategy Consulting: Comms Media (CM) is one of the Industry Practices within Accenture's SC Global Network team. It focuses in serving clients across specific Industries Communications, Media Entertainment. Communications Focuses primarily on industries related with telecommunications and information communication technology (ICT). This team serves most of the world's leading wireline, wireless, cable and satellite communications and service providers Media Entertainment Focuses on industries like broadcast, entertainment, print and publishingGlobally, Accenture Comms Media practice works to develop value growth strategies for its clients and infuse AI GenAI to help deliver top their business imperatives i.e., revenue growth cost reduction.From multi-year Data AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices.Roles Responsibilities:A Telco domain experienced and data science consultant is responsible to help the clients with designing delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients' business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data numbers to craft a story to be presented to senior client stakeholders. Should be able to travel or relocate to Japan as per business requirement. Professional Technical Skills: Overall 5+ years of experience in Data Science at least 3 years in Telecom Analytics Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school Demonstrated experience in solving real-world data problems through Data AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital statistical modeling software (one or more) Python, R, PySpark, SQL, BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves Qualifications Experience: Minimum 5+ year(s) of experience is required Educational Qualification: Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school

Skills: . Python, TensorFlow, PyTorch, Natural Language Processing (NLP), Computer Vision, AWS SageMaker, Machine Learning Model Deployment, Scikit-learn,. About The Role Sr. AI/ML Developer. Experience8-10 Years. LocationThane / Vikhroli, Mumbai. About The Role. We are seeking an experienced AI/ML Developer with 8-10 years of hands-on experience in building and deploying machine learning models at scale. The ideal candidate will have a strong background in Python, PySpark, Hadoop, and Hive, along with a deep understanding of machine learning model building, analysis, and optimization. As part of our innovative AI/ML team, you will contribute to cutting-edge projects and collaborate with cross-functional teams to deliver impactful solutions. Key Responsibilities. Model DevelopmentDesign, build, and deploy machine learning models, utilizing advanced techniques to ensure optimal performance. Data ProcessingWork with large-scale data processing frameworks such as PySpark and Hadoop to efficiently handle big data. Model Analysis and OptimizationAnalyze model performance and fine-tune models to improve accuracy, scalability, and speed. CollaborationWork closely with data scientists, analysts, and engineers to understand business requirements and integrate AI/ML solutions. Version ControlUtilize Git for version control to ensure proper management and documentation of model code and workflows. Project ManagementParticipate in sprint planning, track progress, and report on key milestones using JIRA. Notebook WorkflowsUse Jupyter/Notebook for interactive development and presentation of model outputs, insights, and results. TensorFlowImplement and deploy deep learning models using TensorFlow, optimizing them for real-world applications. Key Skills. ProgrammingStrong proficiency in Python, with experience in data manipulation and libraries like NumPy, Pandas, and SciPy. Big Data TechnologiesHands-on experience with PySpark, Hadoop, and Hive for managing large datasets. Model DevelopmentExpertise in machine learning model building, training, validation, and deployment using frameworks like TensorFlow, Scikit-learn, etc. Deep LearningFamiliarity with TensorFlow for building and optimizing deep learning models. Version Control and CollaborationProficiency in Git for source control and JIRA for project tracking. Problem-SolvingStrong analytical skills to troubleshoot, debug, and optimize models and workflows. Experience And Qualifications. Experience8-10 years in AI/ML development with significant exposure to machine learning and deep learning techniques. EducationBachelor's or Master's degree in Computer Science, Data Science, or a related field. KnowledgeDeep understanding of AI/ML algorithms, model evaluation techniques, and data manipulation. Preferred Qualifications. Hands-on experience with cloud platforms like AWS, GCP, or Azure. Familiarity with containerization tools like Docker and Kubernetes. Experience in deploying models into production environments

Skills: . Python, TensorFlow, PyTorch, Natural Language Processing (NLP), Computer Vision, AWS SageMaker, Machine Learning Model Deployment, Scikit-learn,. About The Role Sr. AI/ML Developer. Experience8-10 Years. LocationThane / Vikhroli, Mumbai. About The Role. We are seeking an experienced AI/ML Developer with 8-10 years of hands-on experience in building and deploying machine learning models at scale. The ideal candidate will have a strong background in Python, PySpark, Hadoop, and Hive, along with a deep understanding of machine learning model building, analysis, and optimization. As part of our innovative AI/ML team, you will contribute to cutting-edge projects and collaborate with cross-functional teams to deliver impactful solutions. Key Responsibilities. Model DevelopmentDesign, build, and deploy machine learning models, utilizing advanced techniques to ensure optimal performance. Data ProcessingWork with large-scale data processing frameworks such as PySpark and Hadoop to efficiently handle big data. Model Analysis and OptimizationAnalyze model performance and fine-tune models to improve accuracy, scalability, and speed. CollaborationWork closely with data scientists, analysts, and engineers to understand business requirements and integrate AI/ML solutions. Version ControlUtilize Git for version control to ensure proper management and documentation of model code and workflows. Project ManagementParticipate in sprint planning, track progress, and report on key milestones using JIRA. Notebook WorkflowsUse Jupyter/Notebook for interactive development and presentation of model outputs, insights, and results. TensorFlowImplement and deploy deep learning models using TensorFlow, optimizing them for real-world applications. Key Skills. ProgrammingStrong proficiency in Python, with experience in data manipulation and libraries like NumPy, Pandas, and SciPy. Big Data TechnologiesHands-on experience with PySpark, Hadoop, and Hive for managing large datasets. Model DevelopmentExpertise in machine learning model building, training, validation, and deployment using frameworks like TensorFlow, Scikit-learn, etc. Deep LearningFamiliarity with TensorFlow for building and optimizing deep learning models. Version Control and CollaborationProficiency in Git for source control and JIRA for project tracking. Problem-SolvingStrong analytical skills to troubleshoot, debug, and optimize models and workflows. Experience And Qualifications. Experience8-10 years in AI/ML development with significant exposure to machine learning and deep learning techniques. EducationBachelor's or Master's degree in Computer Science, Data Science, or a related field. KnowledgeDeep understanding of AI/ML algorithms, model evaluation techniques, and data manipulation. Preferred Qualifications. Hands-on experience with cloud platforms like AWS, GCP, or Azure. Familiarity with containerization tools like Docker and Kubernetes. Experience in deploying models into production environments

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose the relentless pursuit of a world that works better for people we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Credit Decisioning Scorecard, and/or Credit Risk Strategy Development In this role, you will be responsible for the Development of Credit Decisioning Scorecards (Application, Acquisition, Behavioral, Collections Scorecards etc.) and/or development of Credit Risk Strategies for banking and financial institutions. Responsibilities also include bringing in industry best practices and consultative inputs for scorecards and strategy development. Responsibilities You will be primarily working as a consultant for the centralized advanced analytics team of a banking or financial firm.; Your activities will include, but will not be limited to the following: Provide analytical support for recommending actions to mitigate risk and use judgment-based decision-making regarding policies and procedures. Assess the data quality for model development and inputs to the model, providing recommendations to improve the data quality at the source. Works hands-on in development, re-development and calibration of Credit Decision Scorecards and/or design Credit Risk strategies. Handling data and quantitative analysis to support modeling decisions. Leading development of model methodologies, algorithms and diagnostic tools for testing model robustness, sensitivity, and stability. Detailing model techniques and interpretation of variables used in the models to be documented and presented to client Stakeholder. Validation for the source data quality, forecast data quality as well as change management. Drafting thorough technical documents for distribution and presentation to senior management, model developers, auditors, and regulators. Developing Machine Learning based models and/or statistical and mathematical models, rule fine tuning/optimization, testing, reviewing, and performing validation activities and prepare end to end model documentation. Conducting in-depth research on existing and emerging policies related to best practices in the industry and contributing to the creation of whitepapers. Researching and contributing to artifact creation as required in a consulting role. Qualifications we seek in you! Minimum qualifications Hands-on experience in developing credit risk scorecards and credit risk strategies Statistical modeling experience including regression, GAM, time series, Markov TPM, survival techniques etc. Hands-on experience application of AI, ML, Deep Learning techniques (Neural Networks, RNN, CNN, LSTM, Decision Tree, Random Forest, SVM, Naive Bayes etc.) for development of predictive models Detailed knowledge of data analysis / analytics / mining techniques Hands on expertise in SQL, ETL, SAS, Python, R working with large data sets. Strong scripting and automation experience using SAS/Python/R etc. Masters degree in a quantitative discipline (Statistics/Economics/Finance/Data Science etc.) Strong client management and communication/presentation skills written & verbal. Self-driven, proactive, “can-do” attitude. Ability to work under ambiguity and with minimal supervision. Strong project management experience and demonstrated expertise in communicating and coordinating across multiple business units. Strong project management orientation with ability to work under time-sensitive commitments. Lead projects and teams - provide thought leadership, technical guidance, training, and oversight. Preferred qualifications Strong networking, negotiation and influencing skills. Rich experience in BFS analytics & credit risk modeling Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

About the Role: We are seeking a highly skilled Senior Machine Learning Engineer with solid hands-on experience in machine learning, data analysis, and statistical modeling. The ideal candidate will have a strong background in Python, experience with large language models (LLM) and prompting, as well as a deep understanding of machine learning algorithms. If you're passionate about predictive analytics, recommender systems, and NLP, this is the perfect opportunity to apply your expertise and take on a leadership role in our data science team. Key Responsibilities: Design, build, and deploy machine learning models, including predictive models, statistical models, and recommender systems. Develop and implement effective prompting techniques and fine-tuning for large language models (LLM). Collaborate with cross-functional teams to identify opportunities and integrate machine learning solutions into business applications. Analyze large datasets and represent data insights through various forms of visualization and interpretation. Build, validate, and optimize machine learning models using classification-based methods (e.g., Logistic Regression) and clustering techniques. Work on data pipelines and ensure efficient data extraction, transformation, and loading (ETL) processes. Apply NLP techniques for solving language-based problems and ensure the effective implementation of Elasticsearch for indexing and searching. Provide mentorship and guidance to junior engineers and help shape machine learning practices within the team. Stay updated with the latest advancements in machine learning, NLP, and related technologies. Requirements: Education: BE/B.Tech in Computer Science or an equivalent degree. Experience: 3-5 years of relevant experience in machine learning, statistical modeling, or recommender systems. At least 1 year of experience working with large language models (LLM) and prompt engineering. Solid hands-on experience in Python with a focus on data analysis, model building, and representation of insights. Proficiency in statistical modeling, predictive analytics, and classification algorithms (e.g., Logistic Regression). Strong understanding of machine learning algorithms and neural networks. Prior experience with Natural Language Processing (NLP) and Elasticsearch is advantageous. Familiarity with big data platforms and tools is highly desirable. Experience in working with predictive and statistical models in a real-world business context. Why Join Taggd? Be part of a leading RPO provider with a vision to fulfill 1 million jobs by 2025. Great Place to Work Certified : We are recognized for our culture of trust, innovation, and excellence, creating an environment that celebrates diverse perspectives and talents. Wellness Benefits : Enjoy a monthly wellness leave , demonstrating our commitment to employee health and well-being. Dynamic Growth Environment : Contribute to a fast-growing journey, where your role directly impacts organizational success. Thrive in a team that values innovation, teamwork, and mutual respect, working alongside industry leaders. Competitive Compensation : Receive a comprehensive benefits package that rewards your contributions and achievements.

Qualifications Required: Anaplan Level 1 & Level 2 Certified 3-13 years of experience in Anaplan implementations Hands-on Anaplan experience of building lists, data loading, dashboards/new UX pages and creating complex calculations to cater custom planning Ability to translate Excel based solution to a multi-dimensional Anaplan model Experience interacting with Business Users to understand functional requirements and convert them to technical user stories Must have experience and expertise in Data modeling Data Integration Should have experience of conducting User Acceptance Test, and preparing deliverables such as design documents, test documentation, training materials and administration guides Preferred : Anaplan Certified Master Anaplanner or Solution Architect Experience building Anaplan models that will package specific planning processes (e.g., financial planning and forecasting, workforce planning, S&OP etc.) Deep understanding of functional aspects of planning processes across functions (finance, supply chain etc.,) Hands on experience on Anaplan Connect or other integration tools Knowledge of Agile implementation methodology, and understanding of software development best practices

When you join Verizon You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together lifting our communities and building trust in how we show up, everywhere & always. Want in Join the V Team Life. Responsible for driving support in designing and implementing processes and layouts for small to medium-scale data sets used for modeling, data mining, and research purposes. Designs and builds large and complex data sets from spurious sources while thinking strategically about uses of data and how data use interacts with data design. Works with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions. Uses professional concepts and company policies and procedures to solve a wide range of difficult problems in creative and practical ways. * Work with the business clients to discuss small to mid-scale solution requests and begin determining data requirements and statistical methodologies. * Drives support in the design and implementation processes and layouts for complex, small to mid-scale data sets used for modeling, data mining, and research purposes. * Design and build small to mid-scale data sets, thinking about uses of data and how it interacts with the design. * Drives support to develop components of statistical models or end-to-end small to mid- scale models, participating in various pieces of the process including data processing, analysis framework, custom complex visualization tools, and web applications. * Design and implement small to mid-scale statistical data quality procedures around new data sources. * Design and implement data validation and updating procedures for teams to utilize. * Visualize and report data findings creatively in a variety of visual formats that appropriately provides insights to the organization. One of the objectives is to support the Fraud Detection and Digital Transformation initiatives in Advanced Analytics by empowering the business through the use of advanced analytics, enhance decision making and allow for insight driven collaboration. CFO Analytics team is looking for a talented and hands on data and analytics driven individual to join the team and contribute to the team's success. As a Data Scientist, you will be working on multiple advanced analytics projects and drive change among the teams by deploying the solutions and insights. You will help to envision, communicate, and facilitate deployment and execution of data and analytics work. You will collaborate with multiple Business and Finance teams across Verizon. Adhering to industry standards and best practices and understanding emerging technologies and trends to continuously improve the systems, application, infrastructure, and processes. Where you will be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. BQ/ PQs: You get excited by the possibilities that technology creates and how it can improve the way we do business. Applying your analytical skills and expertise to solve complex problems is personally rewarding. With strong written and verbal communication abilities, youre able to cut through technical jargon to describe complex concepts in a way everyone can understand. People know you for your strong leadership and the way you inspire teams to perform at their best. No stranger to working in a fast-paced environment, you convey a sense of urgency and handle multiple competing priorities with ease, never missing a deadline. Youll need to have: Bachelor's degree or six or more years of experience. Six or more years of strong experience in analytical model building and designing analytical solutions Strong communication & stakeholder management skills Participate in the design, implementation and interpretation of advanced analytics concepts and projects related to Big Data, AI and ML/DL Deep knowledge in Supervised, Unsupervised Machine learning and neural network techniques Experience in using statistical computer languages (R, Python) to manipulate data and draw insights from large data sets. Knowledge on model deployment and monitoring Strong SQL proficiency one or many (Postgres, Oracle, SQL Server, Teradata) Even better if you have one or more of the following: Knowledge on fraud detection Knowledge on Reinforcement Learning If Verizon and this role sound like a fit for you, we encourage you to apply even if you dont meet every even better qualification listed above. Where youll be workingIn this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.Scheduled Weekly Hours40Diversity and Inclusion Were proud to be an equal opportunity employer. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our page to learn more.

The IBM Sustainability Software business unit is seeking a talented and motivated data scientist to work as a Data Scientist across our portfolio of software products. Our group helps companies turn their sustainability ambitions into actions by embedding AI into the software that they use for managing their assets and environmental intelligence processes. We work on problems for everything from predicting asset failures from IOT data to o helping companies reduce their carbon footprint and understand the impacts of climate change on their business. You will work across the entire AI and software lifecycles including requirements gathering, use case definition, design, model building, implementation, testing, documentation, and delivery. You'll frequently work with Product Owners, Architects, Designers, Sales, Support, Business Partners, and customers throughout this process. This is an exciting opportunity to work as a part of a worldwide team of data scientists on problems that really matter at a scale that few other companies can support. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 3+ years of relevant hands-on experience in the data science ecosystem including: - Hands-on experience with big data technologies (e.g., Spark, Ray) and deep learning frameworks (PyTorch) - Hands-on experience with SQL and Python - Hands-on experience with DevOps frameworks (Git, CI/CD, Docker) - Hands-on experience building libraries and packages to be re-used by others - Hands-on experience building DS Solutions for production usage - Excellent understanding of machine learning techniques and algorithms and their drawbacks - Team player with a problem-solving attitude - Experience in delivering advanced analytical projects to large, complex organizations in a multi-functional environment. - Able to challenge and review the quality and value generated from analytical outputs - Focus on driving business value for clients to support long-term relationships. Preferred technical and professional experience - Expertise in vision, language models, or advanced machine learning techniques - Expertise in processing and analyzing geo-spatial data - remote-sensing, weather etc. including geo-spatial tools. - Ability to clearly communicate complex ideas to different audiences - Independently contribute to projects or workstreams with limited guidance - Has developed new approaches to existing methods and technologies to develop and deploy solutions - Uses, implements, and shares knowledge and expertise to drive advances in project work - Makes contributions to the creation of IP in form of patents, publications, assets - Effectively coaches and at times manages the work of junior team members (including interns)

Greetings!! We are currently hiring Anaplan Solution Architect for a consulting company. Job description 10 - 12+ years of Anaplan experience (with exposure to minimum of 4-5 end-to-end implementations on Anaplan) Anaplan Certified Solution Architect 10+years of experience in supporting financial platforms like Anaplan, SAP BPC, Hyperion etc. 7+years of experience in Anaplan as a model builder and knowledge of FP&A, Supply chain etc. Knowledge of APIs (REST) and other integrations patterns is nice to have Experience in Implementation of Anaplan with strong Application Development process experience on Anaplan solution areas. Experience in Requirement Gathering & Solution Design Strong functional knowledge in Finance, Payroll and HR business processes and their interdependencies Should have implemented 4-5 projects in FP&A, Capex Planning, Opex Planning, Revenue Planning, Workforce Planning, P&L, Balance sheet and cashflow Designed and delivered high quality digital planning applications across domains (Finance, Supply chain etc.) Complex Anaplan model building experience. Experience working in an Agile Environment. Experience in data integration tools skill set such as Anaplan Connect, CloudWorks etc. Lead analysis, architecture, design, and development of Anaplan Solutions. Identification of business requirements, functional and technical design, prototyping, testing, training, and defining support procedures. Expertise in building Modules, Dashboards, Lists, Processes, and writing complex member formulas and understanding of Data integrity between models. Proven ability to connect business requirements to technical solution design. Lead full life-cycle implementations. Maintain Test scenarios and expected results for test streams, including Unit Testing, System Integration Testing, User Acceptance Testing and Deployment Testing. Should have experience on Peak Load Test, Stress Test and Endurance Test. Hands on Experience on Anaplan Models Good communication Skills Please share your updated CV to anjumi@acarasolutions.in

Life at Ness: At Ness, people come first. Here, you'll be part of a vibrant team that values curiosity, innovation, and growth. We work with industry-leading clients on projects that truly make an impact while supporting every team member in carving out their unique career path. With resources for learning, certifications, and hands-on experiences, Ness offers you more than just a job—it’s a place where your ideas, ambition, and well-being matter. About The Role As a leader of Business Finance and Transformation, under this role person will be responsible for overseeing all aspects of industry and service line financial operations, including budgeting, forecasting, financial planning, analysis, reporting, and risk management, with a primary focus on enabling decision-making to maximize revenue, optimize gross profit and drive business growth by providing critical financial insights for business decisions. Key Responsibilities: Business Partner: Work closely with the industry and service line leaders on a day-to-day basis and provide insights to effectively manage their respective business areas. Support decision making by identifying necessary actionable steps in response to key financial and operational KPI variances. Revenue Forecast: Drive predictable revenue forecast for the immediate quarter and full year by working closely with the business. Drive regular review of growth initiatives with sales leaders and bring better predictability for renewals, extensions, expansions, and new business both from existing and new customers. Work closely with the Chief Growth Officer to support risk identification, alignment of growth initiatives, and risk mitigation. Operations and Profitability: Work closely with the delivery and talent management team to drive operational KPIs and linked financial outcomes. Driver Gross Profit improvement across delivery locations by identifying leakages and optimization initiatives. Maximize revenue and profitability by driving analytics and guiding sales & delivery with Sold vs Actual gross margins, Book & burn leakages, timesheet discipline, bench sizing, talent hiring cost, resource level optimization, pyramid rationalization, etc. Drive operational discipline by working closely with sales, delivery, and PMO including timesheet closures, SoW signups, fulfillment gaps, etc. Automation: Work closely with Business leaders to drive automation supporting real-time data and analytics to facilitate the identification of leakages, opportunities like change requests, business performance and forecasts, operational KPIs, etc. Budgeting & Forecasting: Oversee the budgeting process for Revenue and Gross Profits, creating detailed budgets for various industries/service lines and monitoring performance against those budgets, making necessary adjustments as needed. Cross-functional team player: Working closely with Delivery, Sales, Talent Acquisition, L&D, and other functions to align with organizational goals. Work closely with the Corporate Planning team to align with the organization's targets for revenue and gross profits and work closely with the pricing and deal review team to share business insights and support in delivering pricing commitments. Team Leadership: Manage and develop a team of financial professionals, analysts, and financial planners. Qualifications MBA or CA with a minimum of 15 years of experience and at least 5-7 years experience in a leadership position Demonstrated excellence in financial analysis and model building. Digital services industry experience preferred. Advanced Excel skills. Function effectively in an especially fast-paced, high-growth operating environment, managing time effectively to address high-priority items in a timely manner. Excellent communication and interpersonal skills Demonstrated ability to build relationships and communicate with peers, subordinates, executive management, and the board. Why Join Us: At Ness, you will work with diverse, talented professionals who are dedicated to making an impact through technology. We encourage applicants of all backgrounds to apply—even if you don’t meet every requirement, we’d love to connect with you if this role excites you. We’re committed to creating an inclusive workplace that celebrates each team member’s unique talents. With flexible remote options, diverse projects, and access to development resources, joining Ness means building a career that’s meaningful and impactful. Ready to Start Your Journey?

Immediate joiners preferred/Serving NP preferred Mandate skills- MLOPS, End - End Deployment,Data pipeline,Machine learning,Model building,Model development 6+ years exp of which 3+ years of relevant data science experience and at least 3 years of software development experience. Experience in devising creative analytical approaches to solve business problems Developing and enhancing algorithms and models to solve business problem Maintaining all models along with development and updating of code and process documentation Designing a solution approach, leading a team to deploy and maintain it in production. Proficient in Structured programming language is a must - such as Python, C/C++, Java is mandatory. Cloud concepts and significant hands-on experience with at least one cloud provider. Should be knowledgeable about the pros and cons of the various services and comfortable discussing the tradeoffs with stakeholders. Strong SQL skills. Good knowledge of Data science approaches, machine learning algorithms and statistical methods. ETL and Data Engineering pipelines using Spark/PySpark. Workflow orchestration tools like Airflow.

About The role The Planning Analytics Developer is responsible for the design and implementation of TM1 Turbo Integration Processes and Cube Designs. They primarily work on the expansion and maintenance of the Chores and Integration Processes for bringing data from Enterprise Financial system into cubes for budgeting, forecasting, and reporting. The successful candidate will drive the scale out and sustainability of the enterprise planning and analytics environment, support budgeting and rolling forecast processes, as well as perform other business partnering and decision-support activities. The ideal skill set would include a finance and/or information systems background, Cognos TM1 expertise, Planning Analytics on Cloud implementation experience, strong written and verbal communication skills, and drive. Candidate should have experience leading multiple moderate to high complexity financial planning and business intelligence end-to-end project implementations. Responsibilities Design and implement financial planning solutions using IBM Planning Analytics to achieve project success, including cubes, rules, dimensions, T1 process/chores, web sheets (Static and Active forms) and turbo integrator processes Perform data discovery/quality analysis and architect a solution in TM1 based upon customer requirements Ensure the successful delivery and implementation of modifications into the production environment Model, design, and create Cognos TM1 Cubes from OLTP sources into OLAP cubes Create and administer security at all levels, client-groups, cubes, dimensions, and processes Integrate various relational database platforms in design and development of ETL processes and relational databases into reporting cubes Provide incident management support to users of TM1/Planning Analytics; analyze and resolve cross-functional data issues Work with business users to design and develop reports using PAX, PAW Build sustainable relationships with technical teams and business stakeholders Create and maintain technical design and administrative Advocate best practices in reporting and analysis, including data integrity, test design, analysis, validation, and documentation Manage TM1 database assets with version control software Participate in daily stand-up calls and Agile Sprints Responsible for reviewing the new releases and upgrades relating to TM1/PAW/PAX and coordinate with IBM and internal team to push the new releases. Experience & Education 7+ years of Cognos TM1 work experience in developing end-to-end analytics solutions, including system configuration, model building, data security, and reporting Experience developing in Planning Analytics Workspace (PAW) Strong hands-on knowledge of TI processes, rules for cube-to-cube data flows, and customized workflows Expertise in the design and development of large-scale integrations between Enterprise-wide Data Warehouse & TM1/Planning Analytics Excellent communications, presentation skills with the ability to interact at all levels of the organization on a regular basis Bachelors Degree (or foreign equivalent) in Computer Science, Software Engineering or related field Expertise in developing Planning, Budgeting and Forecast Models Technical Skills & Competencies TI Scripting Rules calculation Tm1 Architect Performance Modeler Tm1 Contributor PAW IBM Planning analytics On Cloud IBM Planning for Excel

Preference - Pharma/healthcare domain or industry only Job Title: - Director - Data Science Job Location: - Noida/Gurgaon/Pune/Hyderabad Job Responsibilities: - Location : Gurugram / Noida / Bengaluru / Hyderabad Job Responsibilities : Axtria is a global provider of cloud software and data analytics to the life sciences industry. We help life sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are seeking high energy, driven and innovative Data Scientists to join our Data Science Practice to develop new, specialized capabilities for Axtria, and to accelerate the companies growth supporting our clients commercial & clinical strategies. Craft winning proposals to grow the Data Science Practice. Develop and operationalize scalable processes to deliver on large & complex client engagements. Ensure profitable delivery and great customer experience design the end to end solution, put together the right team and deliver as per established processes. Build an A team – hire the required skills sets and nurture them in a supporting environment to develop strong delivery teams for the Data Science Practice. Train and mentor staff and establish best practices and ways of working to enhance data science capabilities at Axtria. Operationalize an eco-system for continuous learning & development. Write white papers, collaborate with academia and participate in relevant forums to continuously upgrade self knowledge & establish Axtria’s thought leadership in this space. Research, develop, evaluate, and optimize newly emerging algorithms and technologies for relevant use cases in pharma commercial & clinical space. Qualifications & Experience : Post graduation or PhD in Computer Science is a must. 10+ years of experience in the data science space – preferably with the end to end automated ecosystem including, but not limited to, building data pipelines, developing & deploying scalable models, orchestration, scheduling, automation, ML operations. Ability to translate business questions into analytics techniques (regression classification, NLP, etc.) and interpret outcomes of analytical models into meaningful business insights and actionable recommendations. Expertise in data management, data modeling, data quality, dev ops, data migration & data structure integration. Expertise in advanced AI/ML algorithms & their applications, NLP, deep learning frameworks, computer vision. Ability to build scalable models using Python, R-Studio, R Shiny, PySpark, Keras, Tensorflow Relevant Mastery in Feature Engineering, Feature Selection and Model Validation on Big Data Experience in delivering data science projects leveraging cloud infrastructure. Familiarity with cloud technology such as AWS / Azure and knowledge of AWS tools such as S3, EMR, EC2, Redshift, Glue; viz tools like Tableau and Power BI. Build & train neural network architectures such as CNN, RNN, LSTMs, Transformers. Applications and Digital Automation Solutions, Low Code /No Code and Automation Platforms, designing API's and exposure to DevOps, React/Angular, containers, building visualization layer. Knowledge of self-service analytics platforms such as Dataiku/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Familiarity with Life Sciences is a plus

Job Position - Model Risk Management (Model Development / Model Validation) + Credit Risk or Fraud Risk Open Levels - Sr Engagement Manager / Assistant Director Experience - 8 Years - 16 Years Locations - Chennai / Bangalore / Hyderabad - Hybrid Mode Notice Period - 0- 30 Days Only or Immediate Joiners Job Responsibilities: 1. Monitor and validate aggregate model risk in alignment with bank's risk strategy 2. Perform independent validations of financial, statistical, and ML models commensurate with their criticality ratings 3. Assist with the validation and review of models regarding their theoretical soundness, testing design, and points of weakness 4. Interpret data to recognize any potential risk exposure 5. Development of challenger models that help validate existing models and assist with outcome analysis 6. Ensure compliance with the model risk monitoring framework 7. Evaluate governance for Model Risk Management by reviewing policies, controls, risk assessments, documentation standards, and validation standards Required Qualifications, Capabilities and Skills: 1) Degree Graduate/master's degree in statistics, econometrics, mathematics, computational finance, or similar 2) Deep knowledge in Quantitative methods / econometrics/ statistics. Desired Experience: 1) Experience in a quantitative risk function 2) Prior experience in Model Validation /development in Banking domain 3) Good working knowledge of, Python and SQL, Machine learning, exploratory data analysis 4) Good Report writing skills Desirable Skills: 1) Prior experience in development/validation of statistical model in Fair lending/Credit risk/Anti money laundering 2) Good to have experience in building risk models related to Organization and Behavior scorecard 3) Hands on Development experience in python/py-spark/ SAS

Understanding of Siebel Architecture Siebel Product and Pricing Siebel EAI Experience in configuration modules, Scripting, WF etc.. Siebel Data model and building & debugging sql procedures Knowledge of Data validation manager and its components. Required Candidate profile Exp in applications development, with at least 6-8 yrs exp in a Siebel Development. Extensive background across multiple Siebel modules with recent exp in Siebel Telecommunication Application

Working with business analysts and finance stakeholders (often senior) to gather and interpret financial planning requirements Translating requirements into clear functional and/or technical requirements and/or business or technical user stories Required Candidate profile Strong analytical, problem-solving, and debugging skills Strong communication and collaboration skills, with the ability to work effectively with business stakeholders, technical teams, and management

Develop predictive/prescriptive models using ML/statistical/AI techniques Collect/clean/preprocess large datasets from multiple sources Perform EDA/identify trends/patterns Implement models using Python/R/SAS Validate models Required Candidate profile 5+ yrs of exp in data science, model development/validation in BFSI Exp with machine learning, statistical modelling, and AI techniques. Exp in managing RCSA program at corporate level.