19210 Statistics Jobs

15- 18 years of overall experience in the supply chain domain, with hands on experience in sustainability reporting and setting up sustainability processes/ operations & running materiality assessments Should have experience in ESG data management, audit or reporting in a corporate setting Build new-age Ai-driven sustainability solutions which are fundamental & complimentary to maturing the ESG practice by working closely with external partners and technology providersUnderstand and apply ESG reporting frameworks prioritized by the Corporate Governance team Strategize on digital solutions for specific Industry verticals to meet practice growth targets Exposure to global market with focus on ESG platform implementations like Envizi, Sphera, Integrity Nxt, Frdm AIHands on Experience in working with ESG data to build analysis and derive insightsExposure to Statistical Tools (R/Python/SAS) and ML models Ability to manage/work in ambiguity Excellent Power Point and Communication skills Strong influencing and collaboration skills

Looking to onboard skilled Data Analysts with 2 to 5 years of experience to join our team at Mirafra Software Technologies Pvt Ltd. The ideal candidate will have a strong background in data analysis and interpretation, with excellent problem-solving skills. Roles and Responsibility Analyze complex data sets to identify trends and patterns, providing insights to stakeholders. Develop and maintain databases, spreadsheets, and reports to track key performance indicators. Collaborate with cross-functional teams to design and implement data-driven solutions. Communicate findings and recommendations to senior management through clear and concise reports. Identify areas for process improvement and implement changes to increase efficiency. Stay up-to-date with industry trends and emerging technologies to continuously improve skills. Job Requirements Strong analytical and problem-solving skills, with the ability to interpret large datasets. Excellent communication and interpersonal skills, enabling effective collaboration with stakeholders. Proficiency in Microsoft Office, particularly Excel, Word, and PowerPoint. Ability to work in a fast-paced environment, prioritizing tasks and managing multiple projects. Strong attention to detail, ensuring accuracy and quality in all work. Familiarity with data analysis tools and software, such as SQL or Tableau. Location - Bengaluru,Hyderabad,Chennai,Pune

Role Description: As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description: As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: Developing and implementing machine learning models and algorithms to solve complex business problems Conducting data analysis and modeling using statistical and data analysis tools Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data science and modeling specialists Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description As a Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data analysts and data scientists to understand business requirements and provide data-driven solutions. You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is accurate, efficient, and scalable. Roles & Responsibilities: Analyzing and interpreting complex data sets using statistical and data analysis tools Developing and implementing data-driven insights and solutions Creating and presenting reports and dashboards to stakeholders Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data analysts. Technical Skills Skills Requirements: Proficiency in data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Knowledge of statistical analysis techniques such as hypothesis testing, regression analysis, or time-series analysis. Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker. Understanding of data exploration and discovery techniques such as clustering, anomaly detection, or text analytics. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Nice-to-have skills Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

locationsBangalore - North time typeFull time posted onPosted 6 Days Ago time left to applyEnd DateMay 17, 2025 (4 days left to apply) job requisition idJR-0010858 FundRock is a Pan-European leading independent UCITS management company and AIFM (Alternative Investment Fund Manager). Our clients are established blue-chip companies and leaders in their domestic market. We invest in our people, enabling you to develop your skills and build on your experience. If you like the idea of working for an ambitious and growing company, as part of a multicultural team, we are the place for you. JobSpecification ChallengeandvalidatefinancialmodelsforthevaluationofcomplexexoticOTCderivativesandstrategies(suchasvarioustypesofswaps(dispersion,variance,correlation,CMS)oroptions/optionstrategies(dualdigital,dispersion,CMS,volatilitystraddle)privateequityandventuredebtinvestments. Regularlyvalidatecounterpartyvaluationsforsuchcomplexfinancialderivativesandvaluationrecommendationsorvaluationreportsforassetclasseslikeprivateequityorventurecapitalundertightfunddeadlines. Analyseevents(corporateorother)withregardstovaluation,suchasrestructuringsorspecialmarketdevelopments. Preparethebacktestingfortargetfundinvestmentsandanalyzedeviationsbetweentheauditedfinancialstatementandthecorrespondingcapitalaccountstatemenaspartoftheauditprocess. Prepareandpresentproposalsforvaluationdecisionstothevaluationcommitteeincludingseniormanagement. Monitorthefundscompliancewithrelevantlaws,regulationsandfunddocumentation. Buildbridgestoclientsandexternalpartieslikeauditorsorvaluationserviceprovidersandcommunicateinternallywithalllevelsofthecompanytoeffectivelyachievegoalsandmeetexpectations. Contributeefficientlytonewprojectssuchastheonboardingofnewclients. SkillsRequired Atleast5yearsofprofessionalexperienceinacomparablerole,eginanassetmanagementorabig4company,corporatefinance,dealorriskadvisory. Backgroundinapreferablyquantitativediscipline,egmaster'sinmathematics,physics,engineering,econometrics. Excellentunderstandingofmathematicalfinanceandfinancialmodellingskills. VerystrongcommandofICE/SuperDGUItosetupcomplexOTCderivatives,Refinitiv,BloombergincludingBloombergPricers. Teamspiritandcommunicationskillsincludingacriticalmindset. Flexibilityandabilitytomanagevarioustasksundertightdeadlines. Excellentunderstandingoftheregulatory,valuationandaccountingenvironmentinLuxembourgforalternativeassetmanagers(egAIFMDirectiveresp.CDR231/2013,CSSF18/698,IFRS,CSAValuation). StrongcommandofMicrosoftExcelandWord. Englishproficiency:additionallanguages,especiallyGerman,areconsideredanasset. As a vital team member and in return for your expertise, inclusive approach and commitment, we'll provide a favourable salary and the chance to join a passionate and welcoming team. Benefits As a truly global business, we tailor benefits to each location to safeguard our people and respect local cultures and ways of working. Our people are our greatest asset, and we invest in talent development. Join our global network, and you will benefit from education support, sponsorship and in-house training programs. DisclaimerUnsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, he/she must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates and supervisors. Process Manager Role and responsibilities: We are looking for a highly analytical and strategic Analytics Consultant/Insights Consultant who thrives in a hands-on role, working directly with data to extract insights that drive meaningful business decisions. This role requires someone who can go beyond standard reporting to deeply analyze data, identify trends, and provide clear, actionable recommendations that improve key performance indicators (KPIs). 1. Hands-On Data Analysis & Insights Generation Perform in-depth, hands-on analysis of business data to uncover trends, opportunities, and risks affecting KPIs such as conversion rates, sales, customer retention, and operational efficiency. Independently query, extract, and manipulate large datasets using SQL to answer complex business questions. Use statistical techniques and advanced analytics methods (e.g., predictive modeling, segmentation) to support strategic decision-making. 2. Business-Driven Recommendations & Impactful Storytelling Translate raw data into actionable insights and develop clear, compelling recommendations for business teams. Drive measurable improvements in business performance by identifying optimization opportunities across marketing, operations, sales, and product functions. Excellent communication is non-negotiableyou must be able to simplify complex data, build strong narratives, and effectively present insights to non-technical stakeholders and senior executives. 3. Data Visualization & Reporting Design, develop, and automate scalable reports and dashboards using Power BI to track and communicate business performance. Ensure data accuracy, consistency, and clarity in reports to empower teams to make informed decisions. Provide real-time insights and deep dives to address business challenges proactively. 4. KPI Management & Performance Optimization Collaborate with business teams to define, refine, and monitor key business KPIs. Actively track performance metrics, diagnose variances, and suggest corrective actions. Continuously optimize analytics processes to enhance efficiency and accuracy. 5. Cross-Functional Business Partnership Serve as a trusted analytics partner across marketing, operations, sales, and product teams. Work closely with stakeholders to understand business needs, translate data into actionable strategies, and influence decision-making. Effectively communicate technical findings in a clear and compelling way to both technical and non-technical audiences. 6. Process Improvement & Best Practices Identify opportunities to improve data workflows, analytics processes, and reporting efficiencies. Advocate for a data-driven culture by proactively sharing insights and best practices across teams. Technical and Functional Skills: EducationBachelors degree in Analytics, Data Science, Business, Statistics, or a related field. Advanced degrees are a plus. Experience12+ years in analytics, business intelligence, or insights roles, preferably in retail or eCommerce. Advanced proficiency in SQL for querying and analyzing large datasets. Strong experience in Python & Excel. Preferable to work onCRM data. Hands-on experience in creating dashboards and reports using Power BI or similar visualization tools. Excellent verbal and written communication skills with the ability to translate data insights into clear, actionable recommendations. Proven ability to present insights and recommendations to diverse audiences, including senior executives. Familiarity with analytics tools such as R, or Tableau, Adobe Analytics, Google Analytics is good to have Experience in eCommerce metrics, such as website traffic, customer journey analysis, or digital marketing performance. Knowledge of advanced analytics techniques like predictive modeling or segmentation. Demonstrated ability to independently lead analytics projects from ideation to execution. Strong business acumen and a deep understanding of how analytics can drive organizational value. Exceptional problem-solving and critical-thinking abilities. A proactive and collaborative mindset, with a focus on continuous improvement.

Performs systems analysis and design. Designs and develops moderate to highly complex applications. Develops application documentation. Produces integration builds. Performs maintenance and support. Supports emerging technologies and products. Qualifications: Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

Performs systems analysis and design. Designs and develops moderate to highly complex applications. Develops application documentation. Produces integration builds. Performs maintenance and support. Supports emerging technologies and products. Qualifications: Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics, or related field - Preferred

Generates application documentation. Contributes to systems analysis and design. Designs and develops moderately complex applications. Contributes to integration builds. Contributes to maintenance and support. Monitors emerging technologies and products. Qualifications: Bachelor s Degree or International equivalent Bachelors Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics or related field

Key Responsibilities: Work with Business/ Functional leaders to deploy data driven solutions for solving HR challenges. Leverage Analytical thinking to solve business problems and create impact Work with cross functional teams to build inhouse Analytical Solutions and knowledge base to provide fast and on demand KPI’s /Data Insights Generate Bespoke analytical models to meet business needs Technical Requirements: Knowledge of Human Resource Headcount Analysis, Survey Analysis, headcount forecasting Knowledge of statistical programming languages like python/R/SQL in Mandatory Working knowledge of Dashboarding tools like Power BI/ Tableau Ability to create minimal and meaningful presentation to communicate your findings Good Experience of data crunching in Excel Exposure to Data Engineering tools like Airflow and DAG Creation knowledge is plus Working experience on short term statistical testing and Machine learning model creation. Qualification Educational & Experience: Engineering Graduate with 6-8 years of experience Post-Graduate in Management with Graduation in Engineering, 6-7 year of experience " Additional Information Key Personal Attributes: Knack of working with data, with compulsive need to find ways to simplify it Presenting your work in an organized and attractive way is not a need but a requirement for you You love finding automated solutions for your day-to-day tasks Love solving problems related to human resources Collaboration is the key to get the needed solutions

Advanced AI and GenAI for Problem Discovery, RCA and Action Recommendation : Lead the team of data scientists, GenAI developers and ML engineers in hands-on mode. The team is engaged in developing and deploying advanced LLM, SLM and RAG based models along with classical machine learning models including anomaly detection, predictive analytics, causal inferencing and action recommendation models, to develop pipelines that autonomously discover problems, identify root causes and recommend actions in real-time and batch processing scenarios while ensuring that models are interpretable, scalable, and optimized for performance in production environments at big data scale. Gen-AI-Powered Analysis and Insights Generation: Lead the data scientists in hands-on mode creating and fine-tuning Generative AI models to assist in analysis creation for problem discovery, translating complex data patterns and root cause findings into actionable, natural language insights for business stakeholders. Implement prompt engineering and fine-tuning techniques to enhance the relevance and accuracy of insights. Reference Architectures : Work with Technical Architects to evolve frameworks for augmenting and evolving batch processing data architectures with streaming architectures to support connected data and ML pipeline executions in real-time. Adapt reference architectures that operationalize AI and Gen-AI models optimally in both batch and real-time modes. Client Deployments of the Platform: Consult and provide guidance for creating automated data pipelines for raw data and engineered features ensuring data quality, integrity, and accessibility for model training and inference. Help establish robust MLOps and LLMOps practices, including automated model monitoring, retraining triggers, and performance benchmarking including assessment of model accuracy and drift parameters and the business impact. Guide implementation of improvements based on feedback and new data. Development of Use Cases: Lead and support development of the use cases on the platform for various vertical specific problem statements. Support platform demonstration meetings by participating and leading discussions around explanation of platform capabilities and fitments. Leadership and Collaboration: Lead and mentor a team of data scientists and machine learning engineers, providing guidance on best practices in GenAI, AI/ML methodologies and coding standards. Collaborate closely with product managers, data engineers, and business analysts to align AI solutions with platform goals and user requirements in accordance with the platform roadmap. Pre-sales: Support pre-sales, marketing hyper-scaler partnerships and other sales activities such as RFPs by providing subject matter expertise during scoping and designing of the engagements. Support the client development efforts by contributing to developing proposals, POVs and other POC read-outs. Support pilot deployments at clients and strive for conversion into full programs. Technical Skills In-depth conceptual understanding of Statistics, Classical Machine Learning, Deep Learning and GenAI along with significant hands-on development experience in these areas Able to understand the nuances of business problems in various domains, quickly grasp the problem discovery analysis and modelling imperatives and translate those into the requirements for AI models Significant exposure to various proprietary & open-source cloud-based Machine Learning platforms such as Amazon Sagemaker / Azure Machine Learning Studio / Google Datalab ML Engine AutoML / H2O etc. Experience in leveraging open-source LLMs and prompt engineering, RAG based training and SLM model development Hands-on with excellent ML programming skills in Python using open-source libraries Experience in working with RDBMS and NoSQL databases; Exposure to Big Data technologies 14-16 years of Machine Learning model development and application experience Experience in building cloud-based products that implement GenAI and ML modelling as a service

Role Description: As a Senior Technical Lead - Data Analysis at Incedo, you will be responsible for analyzing and interpreting large and complex datasets to extract insights and identify patterns. You will work with data analysts and data scientists to understand business requirements and provide data-driven solutions. You will be skilled in data analysis tools such as Excel or Tableau and have experience in programming languages such as Python or R. You will be responsible for ensuring that data analysis is accurate, efficient, and scalable. Roles & Responsibilities: Analyzing and interpreting complex data sets using statistical and data analysis tools Developing and implementing data-driven insights and solutions Creating and presenting reports and dashboards to stakeholders Collaborating with other teams to ensure the consistency and integrity of data Providing guidance and mentorship to junior data analysts. Foster a collaborative and supportive work environment, promoting open communication and teamwork. Demonstrate strong leadership skills, with the ability to inspire and motivate team members to perform at their best. Technical Skills Skills Requirements: Proficiency in data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Knowledge of statistical analysis techniques such as hypothesis testing, regression analysis, or time-series analysis. Familiarity with data visualization and reporting tools such as Tableau, Power BI, or Looker. Understanding of data exploration and discovery techniques such as clustering, anomaly detection, or text analytics. Lead and manage a team of professionals to achieve organizational goals. Provide guidance, support, and mentorship to help employees grow and develop professionally and focus on Career Management. Qualifications 8-10 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Your role and responsibilities: In this role, you will have the opportunity to deliver and implement analytics strategy in one or more functional areas. Each day, you will drive data-driven strategy and decision making for predictive analytics and optimization by leveraging Artificial Intelligence (AI) and Machine Learning (ML). You will also showcase your expertise by building and maintaining large-scale statistical models that turn billions of data points into insights and actions. The work model for the role is: LI #Hybrid This role is contributing to the Process Automation Business of Energy division in Bangalore . You will be mainly accountable for: Support cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Implement wide range of projects, building large-scale distributed fine tuning, deploying LLMs on GPU instances for real-time use cases, designing robust, secure infrastructure. Build, develop, and maintain analytical models that support key business decisions. Oversee the scaling of analytics projects on cloud platforms to ensure seamless functionality and integration with business operations Qualifications for the role (Mandatory) Masters degree in computer science, Statistics, Applied Mathematics, or related scientific field. 5+ years of experience in a data science role, with a focus on analytics and data modeling in cloud environments. Relevant experience with Large Language Models, NLP, large-scale systems and data sets, deep learning, or adjacent fields. Well versed with production data pipelines and applications Strong problem-solving skills and passionate about GenAI to contribute to user-facing product Familiarity with NoSQL databases, enterprise search technologies, and recommendation systems Command using statistical computer languages (R, Python, SQL, etc.), SQL, Spark to manipulate data and draw insights from large data sets.

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while staying updated with the latest technologies and methodologies in application development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and UI5.- Strong understanding of database management and optimization techniques.- Experience in developing and implementing RESTful APIs.- Familiarity with Agile methodologies and project management tools. Additional Information:- The candidate should have minimum 7.5 years of experience in SAP ABAP Development for HANA.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while staying updated with the latest technologies and methodologies in application development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and SAP UI5.- Strong understanding of database management and optimization techniques.- Experience in developing and implementing custom reports and interfaces.- Familiarity with Agile methodologies and project management tools. Additional Information:- The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Machine Learning Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will be responsible for developing and configuring software systems, applying knowledge of technologies, methodologies, and tools to support projects or clients throughout the product lifecycle. Roles & Responsibilities:- Develop and implement advanced algorithms using MATLAB, Simulink and Python. -Develop models for a variety of use cases, including classification, regression, recommendation systems, time-series forecasting, and anomaly detection. -Apply advanced mathematical techniques to create robust solutions. -Participate in code reviews and provide constructive feedback to ensure code quality and adherence to best practices. -Document algorithms clearly and concisely, including design rationale, assumptions, and limitations. -Prototype and test new algorithms or methods that could be beneficial for the teams goals Professional & Technical Skills: - Strong experience in developing algorithms using MATLAB/Simulink and Python. -Proficiency in programming languages, particularly Python and R, and experience using Jupyter notebooks etc. for experimentation and model development.-Expert in supervised learning, unsupervised learning, reinforcement learning, deep learning. -Solid understanding of linear algebra, calculus, probability theory, and statistics, which are fundamental to ML algorithms. -Understanding of how to deploy ML models into production using tools like Docker, Kubernetes, and CI/CD pipelines. Additional Information:- The candidate should have a minimum of 5 years of experience in Machine Learning- This position is based at our Bengaluru office- A 15 years full time education is required Qualification 15 years full time education

About The Role Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Data Science Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Analyst, you will conduct specific advanced data analyzes, develop custom tools, annotate data and implement robust data quality controls using statistical methods. You will support one specific area of our portfolio. Roles & Responsibilities:- Develop custom data analytics tools and data visualizations to report on data quality and AI model performance KPIs.-Provide technical support to existing solutions, addressing bug fixes and simple issues-Independently design and utilize specialized tools to annotate data in various formats (e.g. timeseries) for predictive algorithm development, validation and monitoring-Support data scientists with data exploration and cleaning, data analytics, data visualizations and data annotations.-Stay current with the latest advancements in advanced data analytics technologies to provide informed support and recommendations. 1-3 years experience in advanced data analysis on large data sets, including data annotation, cleaning and data visualization. Professional & Technical Skills: - Software engineering tools and practices (Python, Git, Unit testing, CI/CD principles)-Data engineering tools (Python, pandas, jupyter notebook)-Visual analytics platforms (Tableau, Superset, Streamlit)-Database and other data storage technologies (SQL, NoSQL, Oracle, MySQL, S3, Athena, DynamoDB)-Cloud platform technology (AWS, MS Azure or Snowflake)-System infrastructure in Linux/Windows (Bash, PowerShell, Docker, CRON, Apache Airflow)- Demonstrated knowledge in a) Applied Mathematics (statistics, regression, simulation, scenario analysis) b) Advanced Data Analytics (applied statistics, model evaluation, data visualization) - Good problem-solving skills and attention to detail.- Ability to communicate well with stakeholders and customers from a wide range of backgrounds- Must be able to function independently as well as work in a collaborative team environment.- Willingness to learn new technologies Additional Information:- The candidate should have minimum 3 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Bachelor degree in Computer Science, Mathematics, Data Science or related field with coursework in statistics or data science. Qualification 15 years full time education

About The Role Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Tagetik Planning Budgeting and Forecasting Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will analyze, design, code, and test multiple components of application code across one or more clients. Perform maintenance, enhancements, and/or development work. Show creativity in problem-solving and contribute to the growth of the team. Roles & Responsibilities:Support for dry runs Preparing and opening Tagetik & Integrations for quarterly submissions Load, maintaining FX rates integration Preparation, Validation and Sourcing the FX rates Loading of Ownership register changes Sourcing, preparing and checking of changes to Ownership Register Maintaining data mappings between Tagetik to external systems (inbound / Outbound) Maintaining and reconciling data between source system and Tagetik Consolidation Functional related Application Support for users during the reporting periods Data Checks and controls prior to each release UAT Individual User / Business unit specific reports build - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Collaborate with team members to analyze, design, and develop software solutions.- Participate in code reviews and provide constructive feedback.- Troubleshoot and debug software applications to ensure optimal performance.- Research and implement new technologies to enhance software capabilities.- Document software specifications and ensure code quality standards are met. Professional & Technical Skills: Maintenance Activities - Start/Stop Knowledge in Tagetik Excel Add-on Performing General Health checks in Tagetik If required** - Scheduling Jobs & Performing Data export & Import Tagetik Upgrade Skills Performance Tuning Log Analysis- Tagetik Consolidation- Must To Have Skills: Proficiency in Tagetik Planning Budgeting and Forecasting.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 2 years of experience in Tagetik Planning Budgeting and Forecasting.- This position is based at our Gurugram office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while staying updated with the latest technologies and methodologies in application development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and UI5.- Strong understanding of database management and optimization techniques.- Experience in developing and implementing custom reports and interfaces.- Familiarity with Agile methodologies and project management tools. Additional Information:- The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Key Responsibilities: Create and maintain Power BI dashboards using Snowflake-based transformed datasets. Collaborate with business analysts and engineers to translate KPIs and logic into visualizations. Perform data validations to ensure report accuracy and alignment with source definitions. Optimize dashboard performance (query efficiency, load time) and enable drill-down features. Enable usage tracking, alerts on dataset failures, and embed best practices for report lifecycle management. Maintain .pbix-based Power BI projects with Git integration for version control and CI/CD deployment. Document dashboard designs, user personas, and report specifications. Required Skills & Qualifications: 4-6 years of hands-on experience in Power BI, with strong DAX and Power Query knowledge. Deep understanding of data storytelling and UI/UX principles in BI. Experience working with Snowflake or similar cloud data warehouses. Familiar with Azure DevOps, GitHub, and deployment pipelines. Strong data validation, performance monitoring, and user access management skills. Experience working with metadata tagging, report lineage, and self-serve capabilities. Bachelors in Information Systems, Statistics, or a related field.

Data Scientist Python and Notebooks Responsibilities Job Description We are seeking a talented Data Scientist to join our team and drive datadriven decisionmaking across our organization The ideal candidate will have a strong background in statistical analysis machine learning and data visualization with experience working with large datasets in a Teradata environment Responsibilities Design and implement endtoend data science projects from problem definition to model deployment Develop and apply advanced machine learning algorithms and statistical models to solve complex business problems Collaborate with crossfunctional teams to identify opportunities for datadriven improvements Conduct exploratory data analysis and feature engineering to prepare data for modeling Create and maintain dashboards and reports to communicate insights to stakeholders Optimize data collection procedures and ensure data quality Stay current with the latest advancements in data science and machine learning techniques Implement and maintain onpremise AIML solutions Apply Explainable AI techniques to enhance model interpretability and transparency Requirements 10-13 years of experience in data science or related field Strong proficiency in Python R and SQL Experience with Teradata and data lakelakehouse architectures Expertise in machine learning algorithms statistical modeling and data visualization Familiarity with big data technologies eg Hadoop Spark Excellent problemsolving and communication skills Experience with version control systems eg Git Experience with onpremise AIML solutions Knowledge of Explainable AI methods and their practical applications. Location - Bengaluru,Hyderabad,Chennai,Pune

About The Role Project Role : Technology Architect Project Role Description : Design and deliver technology architecture for a platform, product, or engagement. Define solutions to meet performance, capability, and scalability needs. Must have skills : ServiceNow App Engine Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Architect, you will design and deliver technology architecture for a platform, product, or engagement. Your typical day will involve collaborating with various teams to define solutions that meet performance, capability, and scalability needs. You will engage in discussions to ensure that the architecture aligns with business objectives and technical requirements, while also addressing any challenges that arise during the development process. Your role will require you to stay updated on industry trends and best practices to ensure that the solutions you propose are innovative and effective. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Expected to provide solutions to problems that apply across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Evaluate and recommend new technologies that can improve system performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in ServiceNow App Engine.- Strong understanding of cloud architecture and deployment models.- Experience with integration of ServiceNow with other platforms.- Ability to design scalable and high-performance applications.- Familiarity with IT service management processes and best practices. Additional Information:- The candidate should have minimum 12 years of experience in ServiceNow App Engine.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

The Quality Assurance Engineer is responsible for ensuring that products meet the required quality standards and specifications throughout the manufacturing process. This role involves developing and implementing quality control systems, conducting audits, and collaborating with various departments to promote a culture of quality. Key Responsibilities: Quality Control: Develop and implement quality control processes and inspection protocols to ensure compliance with internal and external standards. Audits and Inspections: Conduct regular audits and inspections of manufacturing processes, equipment, and products to identify areas for improvement. Documentation: Maintain accurate records of quality checks, audits, and non-conformance reports. Ensure proper documentation of quality assurance activities. Collaboration: Work closely with production, engineering, and supply chain teams to address quality issues and implement corrective actions. Training: Provide training to staff on quality standards and best practices to foster a quality-oriented culture. Continuous Improvement: Lead continuous improvement initiatives focused on enhancing product quality and process efficiency. Compliance: Ensure compliance with industry standards, regulatory requirements, and company policies. Qualifications: Bachelors degree in Engineering, Manufacturing, or a related field. years of experience in quality assurance or quality control in a manufacturing environment. Strong understanding of quality management systems (e.g., ISO 9001). Proficient in statistical analysis and quality improvement tools (e.g., Six Sigma, Lean). Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills. Preferred Qualifications: Certification in Quality Engineering (CQE) or related credentials. Experience with product testing and validation processes. Ability to work in a manufacturing environment with exposure to machinery and production processes.

1. POSITION VACANT: Senior Research Associate, CSR Foundation, Mumbai 2. ORGANIZATIONAL BACKGROUND: Our client is a leading Indian CSR organization driving inclusive development through impactful programs in health, education, rural upliftment, and more, in collaboration with public, private, and community partners. 3. JOB DESCRIPTION/ RESPONSIBILITIES: Contribute to the research initiatives as a Senior Research Associate. Execute research projects, analyze data, and support evidence-based decision-making within the Research Department. Key Responsibilities: (1)Execute research projects under the guidance of the Head of Research, ensuring adherence to methodologies and ethical standards; (2) Collect, analyze, and interpret data using statistical and qualitative methods, providing valuable insights for women's development; (3) Collaborate with cross-functional teams to identify research needs and contribute to the design of research studies; (4) Prepare and present research findings through reports, presentations, and other communication channels; (5) Stay updated on the latest research methodologies, technologies, and industry trends; (6) Support the development of research proposals, protocols, and data collection instruments; (7) Assist in managing relationships with external research partners, academic institutions, and industry experts; (8) Participate in the mentorship and training of junior research staff, contributing to the development of the research team. 4. QUALIFICATIONS, EXPERIENCE, AND COMPETENCIES: Qualifications: Applicants must hold a Master's degree in a relevant field such as Gender Studies, Social Sciences, or a related discipline. Experience : (1) Minimum 10 years of proven experience in executing research projects and data analysis; Key Skills and Competencies: (1) Strong analytical, critical thinking, and problem-solving skills. (2) Effective communication and collaboration abilities. (3) Continual learning and staying informed about the latest research methodologies and trends.