19236 Statistics Jobs - Page 2

Job Position Controlling Professional - Processes Education Qualification: Chartered Accountant with 2 - 3 years of post-qualification experience. Job Responsibilities: Responsible for quarterly computation of Base Allowance and Expected Credit Loss for audit purposes and liaising with external / statutory auditors for resolution of any queries on the same. Responsible for monthly review of key focus areas for Accounts receivable, Cash & Bank and Site Cash process and presenting observations to Team Leader, Manager-Controlling & Head of Accounting. Responsible for reviewing existing processes on a regular basis to identify improvements as well as ensuring that the improvements suggested are implemented. Responsible for framing and implementing new processes as and when required. Responsible for proactively identifying digitalization initiatives to simplify existing processes. Responsible for identifying key controls required for the process and communicating the same to the risk and internal control team. Responsible for ensuring clear communication and proper execution of tasks for assigned areas with stakeholders from Business teams, Corporate departments, GBS, Head of Accounts of other group companies within the scope of CF R SAS, CFA. Responsible for ensuring compliance to all internal / external regulations. Skill sets required: Working knowledge of SAP Clear understanding of accounting processes like Accounts Receivable, Accounts Payable, Cash & Bank etc Good communication and organizational skills.

What's in it for you? Data Scientist Actimize Premier is seeking a Data Scientist / Analyst (Statistics, Applied Mathematics- Mandatory) to design, d evelop, and optimize cutting-edge algorithms and machine learning solutions for financial fraud prevention and anti-money laundering (AML) applications. You will work on behavioral analytics and machine learning models while mentoring junior team members and collaborating closely with cross-functional teams. This role provides an opportunity to contribute to innovative, impactful products at the forefront of financial crime prevention technology. Key Responsibilities: Develop and optimize advanced machine learning models and algorithms for fraud detection and AML applications. Mentor and guide junior data scientists and analysts, fostering a collaborative and high-performance team environment. Leverage cloud platforms (AWS, Azure, Google Cloud) to implement scalable AI/ML solutions. Contribute to the design and implementation of core algorithms, mathematical models, and data-driven solutions. Explore and apply emerging technologies such as Generative AI to enhance fraud detection capabilities. Collaborate with product managers, engineers, and other stakeholders to translate business requirements into robust technical solutions. Perform statistical analysis, data mining, and visualization using tools like Python or R. Drive innovation by researching and integrating the latest advancements in data science and machine learning. Support the team in building user behavior models, leveraging Bayesian statistics, and exploring advanced techniques like social network analysis. Skills and Experience Required: Educational Background: Master’s or Ph.D. in Statistics, Applied Mathematics, Data Science, Computer Science, Electrical Engineering, or a related quantitative field. Professional Experience: 2 –4 years of experience in algorithm development, statistical analysis, and machine learning. Hands-on experience in applying advanced machine learning techniques to real-world datasets in financial fraud prevention, AML, or similar domains. Technical Expertise: Proficiency in Python for statistical analysis, data modeling, and visualization. Experience with cloud technologies and platforms (AWS, Azure, or Google Cloud). Solid understanding of databases and SQL (e.g., MySQL). Exposure to generative AI techniques and their applications in data science. Soft Skills and Teamwork: Strong mentoring and leadership skills, with a proven ability to guide and develop junior team members. Excellent problem-solving skills with a pragmatic approach to balancing theory and practical application. Effective communication skills to collaborate across teams and present complex ideas to stakeholders. Resourceful, adaptable, and passionate about financial crime prevention technologies. Preferred Qualifications: Knowledge of user behavior modeling and Bayesian statistics. Experience in natural language processing (NLP). Familiarity with tools and libraries for generative AI (e.g., Transformer models). Understanding of the financial crime prevention domain and its associated challenges. Why Join Us? At Actimize Premier, you will play a critical role in developing industry-leading solutions to combat financial fraud and money laundering. This role offers the opportunity to work on innovative technologies, mentor a talented team, and make a tangible impact in the fight against financial crime. Join us to lead the evolution of AI-driven fraud detection and AML technologies. Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 8013 Reporting into: Tech Manager Role Type: Individual Contributor

We are seeking a highly skilled and experienced Data Scientist to join our team based in Bangalore. As a Data Scientist, you will play a critical role in developing and implementing AI/ML solutions. You will be responsible for utilizing your expertise in Python, SQL, and various frameworks like Scikit Learn, TensorFlow, and PyTorch to deliver production-grade AI/ML projects. The ideal candidate will have 2+ years of experience in Data Science, AI/ML, and a solid understanding of mathematical and statistical concepts. Experience in the US Healthcare domain and knowledge of Big Data and data streaming technologies are desirable. Primary Responsibilities: Develop and implement AI/ML solutions using Python, pandas, numpy, and SQL Utilize frameworks such as Scikit Learn, TensorFlow, and PyTorch to build and deploy models Perform exploratory data analysis (EDA), statistical analysis, and feature engineering to uncover insights and patterns in data Build, tune, and evaluate machine learning models for predictive and prescriptive analytics Conduct drift analysis to monitor model performance and ensure accuracy over time Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions Work on the full life cycle of AI/ML projects, including data preparation, model development, tuning, and deployment Ensure the scalability, reliability, and efficiency of AI/ML solutions in production environments Stay updated with the latest advancements in AI/ML techniques and tools, and identify opportunities to apply them to enhance existing solutions Document and communicate findings, methodologies, and insights to technical and non-technical stakeholders Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field 10+ years of overall experience with 5+ years of experience in Data Science, AI/ML, or a similar role Hands-on experience in delivering production-grade AI/ML projects Experience with the full life cycle of AI/ML projects, including EDA, model development, tuning, and drift analysis Solid understanding of mathematical and statistical concepts Solid programming skills in Python, with experience in pandas, numpy, and SQL Proficiency in frameworks such as Scikit Learn, TensorFlow, and PyTorch Proven excellent problem-solving and analytical thinking skills Proven solid communication and collaboration skills to work effectively in a team environment Preferred Qualifications: Knowledge of Big Data technologies (PySpark, Hadoop) and data streaming tools (Kafka, etc.) Familiarity with the US Healthcare domain

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description JOB SUMMARY This position leads and advocates various data science teams on best practices around the development and implementation of advance analytic systems and predictive and prescriptive models. This position works with a team of data scientists, data analysts, data engineers, machine learning engineers, business and data domain owners, application developers, and architects in the creation and delivery of insights from large and disparate data to empower confidence in business decisions. This position leads the evaluation and adoption of emerging technologies that support the use of statistical modeling, machine learning, distributed computing, and run time performance tuning with the goal of deploying optimal processes and introducing new products and services to the market. This position supports senior leadership by planning and championing the execution of broad advanced analytics initiatives aimed at delivering value to internal and external stakeholders. This position may manage people within the department. Responsibilities Leads and oversees the data analysts, data scientist team, machine learning engineers, and big data specialists in the implementation of models and systems that provide optimal results as well as scale and evolve the solutions to meet future business needs. Acts as subject matter expert on UPS business processes, data, and advanced analytics capabilities to scope problems, data and model requirements, and proven predictive and prescriptive techniques. Maintains broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to define strategies that support the creation, development and delivery of analytic solutions that meet business needs. Develops and prototypes algorithms to ensure analytic results satisfy problem statements and business needs. Interprets and analyzes large scale datasets to discover insights to support the build of analytic systems and predictive models as well as experiment with new and emerging models and techniques. Identifies and evaluates emerging/cutting edge open source, data science/machine learning libraries, data platforms, and vendor solutions to support the conception, planning, and prioritization of data projects across the enterprise. Provides thought leadership, technical guidance, and counsel for data science project teams to evaluate strategic alternatives, determine impact, recommend courses of action, and design and implement solutions. Champions best practices for adoption of Cloud-AI technologies, opensource software, machine learning libraries/packages, and data science platforms to derive useful information and insights that empower business decisions. Communicates with business customers and senior leadership team with various levels of technical knowledge, educates them about our systems, and shares insights and recommendations that can inform business strategies. Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Qualifications Requirements: Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Multiple years of experience working with large-scale, complex datasets to create machine learning, predictive, forecasting, and/or optimization models. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Expertise in data management pipelines involving data extraction, analysis and transformation using either data querying languages (e.g. SQL, NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS) Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms. Proven ability to convey rigorous technical concepts and considerations to non-experts, and strong analytical skills, attention to detail. Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (e.g. Supervised, Unsupervised, Deep Learning, NLP) Excellent verbal and written communication skills with the ability to communicate data through a story framework and convey data-driven results to technical and non-technical audiences, and effectively advocate technical solutions to research scientists, engineering teams as well as business audiences. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Title of project:- Rapid assessment of fertility trends, determinants and preparedness of state health system in Sikkim to address low Total Fertility Rate: A mixed methods study funded by Indian Council of Medical Research Project position :- Project Research Scientist I (Non-Medical) No. of vacancy :- 01 Consolidated Salary :- Rs.61,600/- (Rs.56,000/- plus 10% HRA) Essential Qualification :- MBBS / BVSc / BDS or Equivalent Desirable Qualification :- MPH/ Masters in social science/ PHD/BAMS/BHMS/with MPH Expertise's in qualitative and quantitative Research methodology Working knowledge of Statistical/ data management tool (preferably Redcap/Kobo/ Stata/ SPSS/ NVivo) will be an added benefit. Job Responsibilities :- Coordinate with Research Team Conduct qualitative and quantitative Research in four districts of Sikkim Willing to Travel in 6 districts of Sikkim Expertise in conducting FGDs, IDIs Computer literacy to make reports, PPTs. Data analysis, Report writing, skill in manuscript writing Should be proficient in English, Hindi, sikkimese, Nepali and local languages Age Limit :- 35 years Duration :- One Year Posting Location :- Sikkim Study Site Head Quarter : Gangtok or as decided by Sikkim team. Will have to travel to four districts of Sikkim

Experience- 6 to 8 Years Job Location - Hyderabad, Indore, Ahmedabad - Work from Office Max Joining Time - 2 Months Must have 1 plus years of Lead Experience Bachelor’s or master's degree in computer science, Engineering, Data Science, Mathematics, Statistics or related fields. • At least 5 years of professional experience in AI/Machine Learning engineering. • Strong programming skills in Python and Java. • Demonstrated hands-on experience building Retrieval-Augmented Generation (RAG)- based chatbots or similar generative AI applications. • Proficiency in cloud platforms, particularly AWS, including experience with EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway. • Solid understanding of AI methodologies, including natural language processing (NLP), vector databases, embedding models, and large language model integrations. • Experience with leading projects or teams, managing technical deliverables, and ensuring high-quality outcomes.

Data Science Intern (Paid) Company: Unified Mentor Location: Remote Duration: 3 months Application Deadline: 23rd August 2025 Opportunity: Full-time role based on performance + Internship Certificate About Unified Mentor Unified Mentor provides aspiring professionals with hands-on experience in data science through industry-relevant projects, helping them build successful careers. Responsibilities Collect, preprocess, and analyze large datasets Develop predictive models and machine learning algorithms Perform exploratory data analysis (EDA) to extract insights Create data visualizations and dashboards for effective communication Collaborate with cross-functional teams to deliver data-driven solutions Requirements Enrolled in or a graduate of Data Science, Computer Science, Statistics, or a related field Proficiency in Python or R for data analysis and modeling Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch (preferred) Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib Strong analytical and problem-solving skills Excellent communication and teamwork abilities Stipend & Benefits Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid) Hands-on experience in data science projects Certificate of Internship & Letter of Recommendation Opportunity to build a strong portfolio of data science models and applications Potential for full-time employment based on performance How to Apply Submit your resume and a cover letter with the subject line "Data Science Intern Application." Equal Opportunity: Unified Mentor welcomes applicants from all backgrounds.

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description Job Summary Experience with mobile application testing (Android), experience with test automation. Familiarity with CI/CD. Experience testing API's, message queues, Experience mentoring junior team members 7-10 years (Middle Tier - Senior/Leads) ____________________________________- This position provides mentorship and expertise in technologies and processes for Information Services Management (ISM) and Quality Assurance (QA). He/She maintains an awareness of emerging technologies to ensure a competitive advantage. This position automates test scenarios and expected outcomes. He/She provides expertise for UPS key business functions and supporting technologies. This position applies a comprehensive knowledge of technical skills, principles, practices, and procedures of testing methodologies and working knowledge in planning, designing, and conducting QA reviews and inspections. This position conducts comprehensive testing and risk-based assessments of the testing objects. He/She uses source documentation as input and contributes to the planning and implementation of testing activities. This position leads testing components of large and complex projects, assigns tasks, provides direction to resources, and reports progress to project stakeholders. He/She creates and selects tools and methodologies for review and approval by management. Responsibilities Conducts quality assessment (QA) development processes. Develops test solutions. Provides expertise in testing across the QA organization. Develops and implements new practices and testing standards. Contributes to project design. Qualifications Bachelor's Degree or International equivalent Bachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics or related field - Preferred Experience with both web and client/server based testing Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Job Summary Fiche de poste : Experience with mobile application testing (Android), experience with test automation. Familiarity with CI/CD. Experience testing API's, message queues, Experience mentoring junior team members 7-10 years (Middle Tier - Senior/Leads) ____________________________________- This position provides mentorship and expertise in technologies and processes for Information Services Management (ISM) and Quality Assurance (QA). He/She maintains an awareness of emerging technologies to ensure a competitive advantage. This position automates test scenarios and expected outcomes. He/She provides expertise for UPS key business functions and supporting technologies. This position applies a comprehensive knowledge of technical skills, principles, practices, and procedures of testing methodologies and working knowledge in planning, designing, and conducting QA reviews and inspections. This position conducts comprehensive testing and risk-based assessments of the testing objects. He/She uses source documentation as input and contributes to the planning and implementation of testing activities. This position leads testing components of large and complex projects, assigns tasks, provides direction to resources, and reports progress to project stakeholders. He/She creates and selects tools and methodologies for review and approval by management. Responsibilities Conducts quality assessment (QA) development processes. Develops test solutions. Provides expertise in testing across the QA organization. Develops and implements new practices and testing standards. Contributes to project design. Qualifications Bachelor's Degree or International equivalent Bachelor's Degree or International equivalent in Computer Science, Information Systems, Mathematics, Statistics or related field - Preferred Experience with both web and client/server based testing Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés.

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Job Summary Fiche de poste : This position leads and advocates various data science teams on best practices around the development and implementation of advance analytic systems and predictive and prescriptive models. This position works with a team of data scientists, data analysts, data engineers, machine learning engineers, business and data domain owners, application developers, and architects in the creation and delivery of insights from large and disparate data to empower confidence in business decisions. This position leads the evaluation and adoption of emerging technologies that support the use of statistical modeling, machine learning, distributed computing, and run time performance tuning with the goal of deploying optimal processes and introducing new products and services to the market. This position supports senior leadership by planning and championing the execution of broad advanced analytics initiatives aimed at delivering value to internal and external stakeholders. This position may manage people within the department. Responsibilities Leads and oversees the data analysts, data scientist team, machine learning engineers, and big data specialists in the implementation of models and systems that provide optimal results as well as scale and evolve the solutions to meet future business needs. Acts as subject matter expert on UPS business processes, data, and advanced analytics capabilities to scope problems, data and model requirements, and proven predictive and prescriptive techniques. Maintains broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to define strategies that support the creation, development and delivery of analytic solutions that meet business needs. Develops and prototypes algorithms to ensure analytic results satisfy problem statements and business needs. Interprets and analyzes large scale datasets to discover insights to support the build of analytic systems and predictive models as well as experiment with new and emerging models and techniques. Identifies and evaluates emerging/cutting edge open source, data science/machine learning libraries, data platforms, and vendor solutions to support the conception, planning, and prioritization of data projects across the enterprise. Provides thought leadership, technical guidance, and counsel for data science project teams to evaluate strategic alternatives, determine impact, recommend courses of action, and design and implement solutions. Champions best practices for adoption of Cloud-AI technologies, opensource software, machine learning libraries/packages, and data science platforms to derive useful information and insights that empower business decisions. Communicates with business customers and senior leadership team with various levels of technical knowledge, educates them about our systems, and shares insights and recommendations that can inform business strategies. Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Qualifications Requirements: Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Multiple years of experience working with large-scale, complex datasets to create machine learning, predictive, forecasting, and/or optimization models. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Expertise in data management pipelines involving data extraction, analysis and transformation using either data querying languages (e.g. SQL, NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS) Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms. Proven ability to convey rigorous technical concepts and considerations to non-experts, and strong analytical skills, attention to detail. Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (e.g. Supervised, Unsupervised, Deep Learning, NLP) Excellent verbal and written communication skills with the ability to communicate data through a story framework and convey data-driven results to technical and non-technical audiences, and effectively advocate technical solutions to research scientists, engineering teams as well as business audiences. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés.

Job Description: About US At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview* Client protection Fraud detection strategy team supports multiple products in consumer & small business providing fraud & scam mitigation solutions based on statistical analysis, data mining and business visualization intelligence. Job Description* Aiming in enhanced fraud detection and prevention for digital products, looking for professional with overall 5+ experience, with 2+ hands on experience in building strategies. Responsibilities : 2+ hands on experience in development of new fraud strategies using analytical techniques including decision trees, random forests and other quantitative methods. Goal will be to identify and mitigate new and emerging fraud threats. Deep understanding of complex , multifaceted business priorities and Identifying new sources of data (internal or vendor-provided) that can enrich our existing fraud detection processes, be added to our decision systems, and allow for new detection strategies to be developed. Thorough end to end experience in strategy implementation process and running Autosys/production jobs & automation Review incoming trends and defects and make recommendations to change existing fraud rules. Optimization of existing detection strategies to determine areas where rules can be adjusted to decline fewer false positives and improve the ROI and overall performance of our fraud strategies Development of both ad-hoc and more standardized reporting (MIS). Overall 5+ years of banking domain exposure is must . Additional key skills includes 5+ hands of experience in handling large datasets with the ability to analyze and visualize data to improve processes and strategies Advanced proficiency in exploring and deriving complex algorithms, statistical languages & visualization software’s like SAS, SQL, tablue ( desired) Collaborate with multiple stakeholders across US partners, risk, operations & technology Candidate need to work on any of the given digital products - Wire/ACH/Zelle/Bill Pay Requirements : Education* Post graduate degree/Advanced degree, preferably in Statistics/Mathematics, Computer Sciences, Engineering from a premier institute is must Advance proficiency in SAS & SQL is must Experience Range* 5+ years (post-qualification) Foundational skills* Must have advanced knowledge of SAS and SQL ( 5+ year of experience) Candidate must have a proven track record of building and deploying analytical solutions that have resulted in material financial results Ability to work in a fast-paced, dynamic environment is critical Must have exceptional organizational, project management and communications skills Strong preference working in financial services, particularly fraud or cyber security Understanding of business domains like Fraud/Compliance/Risk Must have exposure of data extraction tools such as Hive or HUE. Desired Skills Familiarity with other programming languages such as Python, R or Java will be preferred Work Timings* 11:30 am to 8:30 pm/12:30 pm to 9:30 pm Job Location* Mumbai, Chennai, Gandhinagar

We are seeking an experienced Data Scientist with a strong foundation in Python, Machine Learning, and Cloud-based Analytics. You will play a key role in building data-driven energy optimization solutions across buildings and campuses. From time-series analysis to predictive maintenance, youll work on impactful projects that accelerate energy efficiency and sustainability on a global scale. This position is for Pune Location. Youll Make a Difference By: o Collaborat ing with stakeholders to understand business objectives and develop data science strategies aligned with those objectives. o Design, develop, and implement advanced machine learning and statistical models to solve complex business problems . o Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. o Explor ing and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets . o Develop ing predictive/prescriptive models, algorithms, and prototypes to support business. o H av ing working knowledge of handling IOT and IIOT data and handling traditional use cases like anomaly detection for a multi-sensor system. o Having hands-on experience in Forecasting using traditional ML and Deep Networks. o Perform ing statistical analysis, hypothesis testing, and A/B testing to evaluate the effectiveness of models and algorithms. o Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations. o Understanding CI/CD processes in product deployment and used it in delivery. o Understanding of the Dockerization , REST APIs. o Working knowledge on software development processes. o Stay up to date with the latest trends and advancements in data science, machine learning, and AI Youll Win Us Over If You Have: o B.E. / M.Sc. / MCA / B. Tech in Computer Science / Applied Mathematics or related fields with good academic record . o 5+ years of experience in data science and/or data analysis with a proven track record of developing ML models and algorithms. o A masters or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field . o Strong programming skills in languages such as Python . o Exposure to the industrial engineering domain is preferred. o Knowledge of big data technologies such as Hadoop, Spark, or Hive is a plus. o Proficient in the use of data science tools . o A collaborative, team-oriented attitude with a proactive mindset .

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description JOB SUMMARY This position leads and advocates various data science teams on best practices around the development and implementation of advance analytic systems and predictive and prescriptive models. This position works with a team of data scientists, data analysts, data engineers, machine learning engineers, business and data domain owners, application developers, and architects in the creation and delivery of insights from large and disparate data to empower confidence in business decisions. This position leads the evaluation and adoption of emerging technologies that support the use of statistical modeling, machine learning, distributed computing, and run time performance tuning with the goal of deploying optimal processes and introducing new products and services to the market. This position supports senior leadership by planning and championing the execution of broad advanced analytics initiatives aimed at delivering value to internal and external stakeholders. This position may manage people within the department. Responsibilities Leads and oversees the data analysts, data scientist team, machine learning engineers, and big data specialists in the implementation of models and systems that provide optimal results as well as scale and evolve the solutions to meet future business needs. Acts as subject matter expert on UPS business processes, data, and advanced analytics capabilities to scope problems, data and model requirements, and proven predictive and prescriptive techniques. Maintains broad understanding of implementation, integration, and inter-connectivity issues with emerging technologies to define strategies that support the creation, development and delivery of analytic solutions that meet business needs. Develops and prototypes algorithms to ensure analytic results satisfy problem statements and business needs. Interprets and analyzes large scale datasets to discover insights to support the build of analytic systems and predictive models as well as experiment with new and emerging models and techniques. Identifies and evaluates emerging/cutting edge open source, data science/machine learning libraries, data platforms, and vendor solutions to support the conception, planning, and prioritization of data projects across the enterprise. Provides thought leadership, technical guidance, and counsel for data science project teams to evaluate strategic alternatives, determine impact, recommend courses of action, and design and implement solutions. Champions best practices for adoption of Cloud-AI technologies, opensource software, machine learning libraries/packages, and data science platforms to derive useful information and insights that empower business decisions. Communicates with business customers and senior leadership team with various levels of technical knowledge, educates them about our systems, and shares insights and recommendations that can inform business strategies. Manages analytics projects/teams and serves as a point of contact for teams when multiple units are assigned to the same project to ensure team actions remain in synergy while communicating with stakeholders to keep the project aligned with goals. Qualifications Requirements: Ability to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach. Multiple years of experience working with large-scale, complex datasets to create machine learning, predictive, forecasting, and/or optimization models. Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment Expertise in data management pipelines involving data extraction, analysis and transformation using either data querying languages (e.g. SQL, NoSQL, BQ), or scripting languages (e.g. Python, R) and/or statistical/mathematical software (e.g. R, Matlab, SAS) Hands-on experience in launching moderate to large scale advanced analytics projects in production at scale; adapts available Cloud-AI technologies and machine learning frameworks with or without the use of enterprise data science platforms. Proven ability to convey rigorous technical concepts and considerations to non-experts, and strong analytical skills, attention to detail. Direct experience in developing analytical solutions that empowers business decisions and product creation using various set of techniques (e.g. Supervised, Unsupervised, Deep Learning, NLP) Excellent verbal and written communication skills with the ability to communicate data through a story framework and convey data-driven results to technical and non-technical audiences, and effectively advocate technical solutions to research scientists, engineering teams as well as business audiences. Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience. Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

About KnowDis KnowDis is an AI-driven company based in Delhi dedicated to transforming e-commerce and banking sectors through cutting-edge technology. With expertise in artificial intelligence, machine learning, and large language models (LLMs), we develop innovative solutions that enhance operational efficiency and drive growth. In e-commerce, we build advanced systems for product search optimization, leveraging LLMs to improve natural language queries and search accuracy. Our team includes B.Tech and Phds from various IITs including Delhi, Guwahati, BHU. Across both industries, we are committed to delivering intelligent, scalable AI solutions that shape the future of business and finance. About the Role At KnowDis, you will move the world forward. Every day, we create innovative machine-learning solutions to help our clients across e-commerce, healthcare, and finance domains to solve their problems. We are a group of highly curious professionals dedicated to discovering and implementing new deep learning models. We work at the intersection of machine learning, statistical analysis, deep learning, natural language processing, and computer vis ion.We bring out the best in each other, and together, we work towards the vision of using this expertise to help society and make the world a better place. As a data scientist, you should be passionate about natural language processing, computer vision, statistical sampling, and analytical methods. You will develop machine learning systems, analyze performance, and refine models through hyperparameter tuning and experimentation to optimize results. You will also improve algorithm accuracy by iterating based on performance metrics and fee dback.To succeed in this role, you need exceptional skills in statistics and programming. You will be part of an agile team and will be collaborating with engineers, data engineers, and fellow data scientists. Job Responsibilities Develop and Implement Machine Learning Models: Design, build, and deploy machine learning models and algorithms for various applications, ensuring they are robust and scalable for production use. Data Exploration and Preparation: Collect, clean, and preprocess large datasets, including feature engineering and data transformation, to create a strong foundation for modeling. Model Training and Optimization: Train models using state-of-the-art techniques, optimize performance through hyperparameter tuning, and conduct thorough experimentation to achieve desired results. Analyze and Evaluate Performance: Use appropriate metrics to analyze model accuracy, precision, recall, and other relevant performance indicators, and iteratively improve models based on findings. Experimentation and Research: Stay updated on the latest machine learning and data science advancements, and run experiments to identify potential new techniques and approaches for business challenges. Requirements for the job Bachelor’s/Master's/Ph.D. in Computer Science, Mathematics, Statistics, or equivalent field. Minimum of 1 to 2 years of experience in ML and AI roles. Strong proficiency in Python and machine learning frameworks like PyTorch, TensorFlow, Scikit-learn, and others. Solid understanding of statistical analysis, data modeling, and algorithmic techniques for various ML tasks. Experience in Natural Language Processing (NLP) and/or Computer Vision (CV) is required; any of the followingis preferred: NLP: Strong understanding of RNNs and transformer-based architectures for tasks such as chatbots/dialogue systems, machine translation, named entity recognition, recommendation systems, and retrieval systems. Computer Vision: Hands-on experience with cutting-edge Vision Language Models (VLMs) like ViT, CLIP, Swin Transformers, DINO, GroundedSAM, SAM, YOLOv7/v8, and multimodal architectures like BLIP-2 and GIT-2. Skilled in Visual Question Answering (VQA), image classification, search, and object detection, with expertise in advanced techniques for complex vision and multimodal tasks. Practical experience in building production-ready systems using deployment frameworks such as FastAPI, NVIDIA Triton Inference Server, TorchServe, or TensorFlow. SELECTION PROCESS: Intereste d Candidate s are mandatorily required to apply through this listing on Jigya. Only applications received through Jigya will be evaluated further.Shortlisted candidates may be required to appear in an Online Assessment administered by Jigya on behalf on KnowDis Candidates selected after the screening test will be interviewed by Knowdis.ai

DESCRIPTION Amazon’s ROW (Rest of World) Supply Chain Analytics team is looking for talented Business Intelligence Engineers who develop solutions to better manage/optimize speed and operations planning while providing the best experience to our customers at the lowest possible price. Our team members have an opportunity to be at the forefront of supply chain thought leadership by working on some of the most difficult problems with some of the best research scientists, product/program managers, software developers and business leaders in the industry, shaping our roadmap to drive real impact on Amazon's long-term profitability. We are an agile team, building new analysis from ground up, proposing new concepts and technology to meet business needs, and enjoy and excel at diving into data to analyze root causes and implement long-term solutions. As a BIE within the group, you will analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, build models to predict and optimize and most importantly work with different stakeholders to drive improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, build analytical products and cause impact across wider teams in intuitive ways. This position provides opportunities to influence high visibility/high impact areas in the organization. They are right a lot, work very efficiently, and routinely deliver results on time. They have a global view of the analytical and/or science solutions that they build and consistently think in terms of automating, expanding, and scaling the results broadly. This position also requires you to work across a variety of teams, including transportation, operations, finance, delivery experience, people experience and platform (software) teams. Successful candidates must thrive in fast-paced environments which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, extract and manipulate data across various data marts, and align research focuses on Amazon’s strategic needs. We are looking for people with a flair for recognizing trends and patterns while correlating it to the business problem at hand. If you have an uncanny ability to decipher the exact policy/mechanism/solution to address the challenge and ability to influence folks using hard data (and some tact) then we are looking for you! Key job responsibilities Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations Collaborating with product and software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of analytical and machine learning models Mining and manipulating data from database tables, simulation results, and log files Identifying data needs and driving data quality improvement projects Understanding the broad range of Amazon’s data resources, which to use, how, and when Thought leadership on data mining and analysis Modeling complex/abstract problems and discovering insights and developing solutions/products using statistics, data mining, science/machine-learning and visualization techniques Helping to automate processes by developing deep-dive tools, metrics, and dashboards to communicate insights to the business teams Collaborating effectively with internal end-users, cross-functional software development teams, and technical support/sustaining engineering teams to solve problems and implement new solutions About the team ROW (Rest of World) Supply Chain analytics team is hiring multiple BIE roles in speed, planning, inbound and SNOP functions. The role will be responsible for generating insights, defining metrics to measure and monitor, building analytical products, automation and self-serve and overall driving business improvements. The role involves combination of data-analysis, visualization, statistics, scripting, a bit of machine learning and usage of AWS services. BASIC QUALIFICATIONS 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience with forecasting and statistical analysis Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Location: Hyderabad, IN Employment type: Employee Place of work: Office Offshore/Onshore: Onshore TechnipFMC is committed to driving real change in the energy industry. Our ambition is to build a sustainable future through relentless innovation and global collaboration – and we want you to be part of it. You’ll be joining a culture that values curiosity, expertise, and ideas as well as diversity, inclusion, and authenticity. Bring your unique energy to our team of more than 20,000 people worldwide, and discover a rewarding, fulfilling, and varied career that you can take in anywhere you want to go. Job Purpose Updates and proposes Project objectives in terms of duration and resources Pilots the Project status and to ensure the forecast reliability Job Description Develops a Schedule compliant with the selected execution strategy Plans in order to mitigate risks and reduce costs Proposes the necessary resources (E-P-C-I) Updates and sets up the Planning & Scheduling system (methods, procedures, time-schedules, physical progress, dashboards, etc.) Proposes for the Management, the Proposal Manager and the Estimation Department a Contract duration realistic and feasible for execution Supports to define the Project Breakdown Structures Supports Client approval process of the Schedule Baseline, progress claimed or milestones achievement Increases Project team members’ awareness of the Project Milestones, main durations and critical paths Monitors and controls the project status to detect any delay Estimates the delay linked with changes and claims and to prepare the Extension of Time analysis, in case of delay due to Client Provides Project Feedback and Lessons Learned in order to improve the Planning & Scheduling methods and provide input to the statistics of Planning Department You are meant for this job if: Degree in mechanical engineering 2 to 4 years of experience in Project execution Good knowledge of scheduling computer tools (i.e. primavera) Professional English Good knowledge of EPCI work processes and sequences Basic knowledge about the Global Business Process Management System (GBPMS) Ability to identify deviations from standards Solid analytical and problem solving skills Accuracy and attention to details Able to present data and fact in a clear and consistent manner Being a global leader in the energy industry requires an inclusive and diverse environment. TechnipFMC promotes diversity, equity, and inclusion by ensuring equal opportunities to all ages, races, ethnicities, religions, sexual orientations, gender expressions, disabilities, or all other pluralities. We celebrate who you are and what you bring. Every voice matters and we encourage you to add to our culture. TechnipFMC respects the rights and dignity of those it works with and promotes adherence to internationally recognized human rights principles for those in its value chain. Date posted: Aug 21, 2025 Requisition number: 14696

Role - Sr Manager Analytics Experience - 8+ years Required Notice Period - Immediate or Serving or 30 days Must Have Skills ML / AI, NLP, Deep Learning, TensorFlow or Keras or Pytorch, NLTK, SpaCy, Hggingface, GenerativeAI, Azure or AWS, FastAPI, Git & Version Control, Dagstar, Airflow, MLFlow, Docker, Kubernates. Requirements 8+ Years of relevant experience in ML/DL 8+ years of ML/DL experience with a fully technical background. The previous experience should not be in non-tech roles. Experience focused on production projects only, with no capstone or internet-based projects. Proven experience (at least 8+ years) in ML/AI development, particularly in ML, with a strong understanding of NLP, deep learning, and neural networks. Proficiency in Python and at least one of the Deep learning frameworks such as TensorFlow, Keras, or PyTorch. Familiarity with NLP libraries such as NLTK, SpaCy and Huggingface transformers Working knowledge of Generative AI models and their architectures Familiarity with at least one of the two cloud platforms - Azure or AWS Proficiency in exposing the solutions as API endpoints using ASGI frameworks such as FastAPI Experience with development tools such as Git and version control Experience deploying the solutions using Docker and Kubernetes Familiarity with MLOps tools like Dagster, Airflow, MLFlow, etc., to build orchestration pipelines and enable model versioning and tracking Familiarity with data structures, algorithms, and core software engineering principles Strong problem-solving skills and the ability to work independently and in a team environment. Good communication skills, with the ability to present complex technical concepts to non-technical stakeholders Robust knowledge of statistics, data mining, and hypothesis testing, along with a sound understanding of visualization To apply, connect with Abhishek via abhishek.m@livecjobs.com or WhatsApp on 9154908075

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re 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 #VTeamLife. What you’ll be doing... A Business Transformation Consultant plays a crucial role in data analysts / Data scientist, ensures they effectively collect, analyze, and interpret data to drive business insights and decision-making. They shoulder the responsibility of the entire data analysis process, from data acquisition and cleaning to reporting and communicating findings to stakeholders. You will be part of a vibrant and growing team that generates insights and customer experience solutions for the entire Consumer CX Business Organization. You will work with various business units and functional leaders at the highest levels of the organization to detail current processes, help define new processes and lead transformative projects aimed at achieving the strategic and financial objectives of the business while preparing the business for future. Data Analysis and Insights Generation: Possessing a strong understanding of data analysis methodologies, statistical techniques, and data visualization tools. Collecting, cleaning, and organizing large datasets from various sources, ensuring data integrity and accuracy. Applying statistical analysis techniques to extract meaningful patterns, trends, and insights from data. Utilizing data visualization tools to create clear, concise, and impactful presentations for stakeholders. Business Problem-Solving and Decision Support: Collaborating with business stakeholders to identify and understand their specific data needs and problem areas. Translating business questions into actionable data analysis strategies, designing appropriate research plans and methodologies. Analyzing data to uncover hidden patterns, trends, and insights that inform business decisions and strategies. Communicating data-driven findings and recommendations to stakeholders in a clear, concise, and actionable manner. What we’re looking for... You'll need to have: Bachelor's degree in a relevant field such as Data Science, Statistics, Computer Science, or Business Analytics. Eight or more years of experience as a Data Analyst / Data science or related role. Six or more years of experience on Data Analytics, SQL, analytical queries and analyzing data from data warehouses like GCP / Teradata (eDW).Proven ability to lead and manage a team of data analysts and Data scientists. Strong expertise in data analysis methodologies, statistical techniques, and data visualization tools. Good knowledge and practical implementation of Exploratory data analysis & Descriptive Statistics Excellent analytical, troubleshooting and problem solving skills Good Working knowledge on different marketing channels, call volume reduction, NPS, digital platforms like Desktop, Mobile app etc and assisted sales channels Presentation skills, including ability to create presentations using Google Sheets/MS PowerPoint and experience presenting to all levels of an organization. Even better if you have one or more of the following: Python proficiency. Design Thinking proficiency. To Build and enhance dashboard using Tableau or Qlikview or similar tools If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll 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. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

Job Overview Provide experienced technical expertise to develop process methodology for department to meet internal and external clients’ needs. Plan and coordinate the development of integrated programming solutions serving the full spectrum of statistical programming needs. Provide technical expertise and leadership to the department. Provide internal consulting services, including specifications and user needs analysis for complex project or client requirements. Essential Functions Perform, plan and co-ordinate the following for complex studies: (i) the programming, testing, and documentation of statistical programs for use in creating statistical tables, figures, and listing summaries and (ii) the programming of analysis databases (derived datasets) and transfers of data for internal and external clients. May perform and plan the programming of database quality control checks. Program and plan the integration of databases from multiple studies or sources. Develop and co-ordinate programming documentation including plans and specifications, as appropriate, for complex studies. Provide advanced technical expertise in conjunction with internal and external clients, and independently bring project solutions to teams and department, for complex studies. Perform, plan and co-ordinate the development, implementation and validation of new process technologies, macros and applications. Fulfill project responsibilities at the level of statstical team lead for single complex studies or group of studies. Understand the Scope of Work, budget and quote assumptions, estimate the work completed, manage Out of Scope and resource forecasts for single studies. May manage project budget and resource requirements, and provide revenue forecasts for single studies. Provide training and guidance to lower level staff. Qualifications Master's Degree Computer science or related field and 3 years relevant experience Req Or Bachelor's Degree Computer science or related field and 4 years relevant experience Req Equivalent combination of education, training and experience in lieu of degree Req Knowledge of statistics, programming and/or clinical drug development process Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro Language Good organizational, interpersonal, leadership and communication skills Ability to effectively manage multiple tasks and projects Excellent accuracy and attention to detail Ability to establish and maintain effective working relationships with coworkers, managers and clients IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

As a Senior Product Analyst, you will be responsible for establishing and leading the product analytics function at Lightcast from the ground up. In this role, you’ll partner closely with Product Managers and Product Marketing Managers to answer critical business questions using customer and product data. You’ll drive a deep understanding of user behavior, surface actionable insights, and help shape the direction of our product experience, lifecycle strategies, and go-to-market plans. You will collaborate with cross-functional, global teams to develop a strong foundation for product data strategy, establishing scalable analytics practices and fostering a culture of experimentation, insight sharing, and data-driven decision-making. Major Responsibilities: Drive Insightful Decision-Making: Work cross-functionally with Product and Product Marketing teams to define KPIs, conduct deep-dive analyses, and generate insights that guide product strategy, customer retention efforts, and lifecycle marketing. Establish a High-Impact Analytics Function: Collaborate closely with product managers, engineering, and business teams to identify key performance indicators (KPIs) for our suite of software and API products and implement systems to monitor them. Partner closely with data engineers and scientists to deliver high-quality analysis, dashboards, models, and reporting solutions. Unify Customer Understanding: Create a single, cohesive view of the customer journey by integrating behavioral, product usage, and demographic data across the business. Create Scalable Systems: Build and maintain scalable dashboards, reports, and data pipelines that enable self-service analytics and real-time insights. Partner & Influence: Act as the analytics voice on cross-functional leadership teams; educate stakeholders, communicate results effectively, and influence product and marketing strategies. Ensure Data Quality & Governance: Define and implement data standards, validation processes, and QA practices to ensure trust in data across the organization. Communicate insights and findings clearly and regularly to a diverse set of stakeholders through reports, dashboards, and presentations. Abilities: Abilities: Core Analytical Skills Data storytelling – Ability to translate complex data into clear, actionable insights. Statistical analysis & modeling – (Nice to have) Experience with regression, clustering, classification, and/or A/B testing. Customer segmentation & lifecycle analysis – (Nice to have) Using behavioral data to segment users and optimize journeys. Experimentation – (Nice to have) Designing, running, and interpreting experiments to improve product performance. Technical Proficiency SQL – Strong proficiency in querying and manipulating large data sets. BI & visualization tools – Proficiency in Tableau, Power BI, or similar platforms. Data tools & platforms – Experience with tools like Pendo, Amplitude, Mixpanel, or similar for user behavior tracking. Scripting – (Nice to have) Working knowledge of Python or R for deeper statistical or modeling work (preferred but not always required). Product & Business Acumen Product sense – Ability to understand and diagnose product issues using data. KPI development – Defining, tracking, and analyzing metrics that matter to product and marketing teams. Cross-functional collaboration – Partnering with PMs, PMMs, engineers, and executives to align on priorities and share insights. Customer-centric thinking – Understanding user behavior and needs to inform product decisions. Leadership & Communication Stakeholder management – Comfortable advising and influencing decision-makers. Communication – Skilled in presenting insights to both technical and non-technical audiences. Education and Experience: 4+ years experience in product analytics Bachelor’s degree in analytics, statistics, computer science, engineering, or a related field; Master’s or MBA preferred ₹12,00,000 - ₹16,00,000 a year Lightcast is a global leader in labor market insights with headquarters in Moscow (ID) and Boston (MA) and offices in the United Kingdom, Europe, and India. We work with partners across six continents to help drive economic prosperity and mobility by providing the insights needed to build and develop our people, our institutions and companies, and our communities. Lightcast is proud to be an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Lightcast has always been, and always will be, committed to diversity, equity and inclusion. We seek dynamic professionals from all backgrounds to join our teams, and we encourage our employees to bring their authentic, original, and best selves to work.

DESCRIPTION At Amazon.com, we strive to be Earth’s most customer-centric company. To support this vision, we need exceptionally talented, bright, and driven people. If you would like to help us build the place to find and buy anything online, this is your chance to work hard, have fun, and make history. Key job responsibilities An ideal candidate for this role: Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format Will be passionate about finding root causes, trends, and patterns and how they impact business. Will draw inferences and conclusions, create dashboards and visualizations of processed data Will have business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately . Will be very comfortable juggling competing priorities and handling ambiguity . Will thrive in an agile and fast-paced environment on highly visible projects and initiatives A day in the life As a Business Analyst, you will help develop an analytic solution to drive deep dives, provide insights into the health and state of the Operations and measure business impact. You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytic insights into concrete, actionable recommendations for business or product improvement. About the team Our team strives to make Amazon the best way for Partners to reach customers locally and globally and to operate their businesses, driven by the accurate and efficient support and solutions we provide them. We are looking for a Business Analyst for its TSE (Trustworthy Shopping Experience) Operations Analytics team. The team is being grown to provide insights and provide analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors, improve customer experience and predict & recommend the optimizations for future state. BASIC QUALIFICATIONS 1+ years of tax, finance or a related analytical field experience 2+ years of complex Excel VBA macros writing experience Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field PREFERRED QUALIFICATIONS Experience using very large datasets Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Overview Provide experienced technical expertise to develop process methodology for department to meet internal and external clients’ needs. Plan and coordinate the development of integrated programming solutions serving the full spectrum of statistical programming needs. Provide technical expertise and leadership to the department. Provide internal consulting services, including specifications and user needs analysis for complex project or client requirements. Essential Functions Perform, plan and co-ordinate the following for complex studies: (i) the programming, testing, and documentation of statistical programs for use in creating statistical tables, figures, and listing summaries and (ii) the programming of analysis databases (derived datasets) and transfers of data for internal and external clients. May perform and plan the programming of database quality control checks. Program and plan the integration of databases from multiple studies or sources. Develop and co-ordinate programming documentation including plans and specifications, as appropriate, for complex studies. Provide advanced technical expertise in conjunction with internal and external clients, and independently bring project solutions to teams and department, for complex studies. Perform, plan and co-ordinate the development, implementation and validation of new process technologies, macros and applications. Fulfill project responsibilities at the level of statstical team lead for single complex studies or group of studies. Understand the Scope of Work, budget and quote assumptions, estimate the work completed, manage Out of Scope and resource forecasts for single studies. May manage project budget and resource requirements, and provide revenue forecasts for single studies. Provide training and guidance to lower level staff. Qualifications Master's Degree Computer science or related field and 3 years relevant experience Req Or Bachelor's Degree Computer science or related field and 4 years relevant experience Req Equivalent combination of education, training and experience in lieu of degree Req Knowledge of statistics, programming and/or clinical drug development process Advanced knowledge of computing applications such as Base SAS, SAS Graph and SAS Macro Language Good organizational, interpersonal, leadership and communication skills Ability to effectively manage multiple tasks and projects Excellent accuracy and attention to detail Ability to establish and maintain effective working relationships with coworkers, managers and clients IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

Ready to shape the future of work? At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Management Trainee, Data Analytics! We are seeking a highly skilled and detail-oriented Senior Business Analyst to join our team. The ideal candidate should have a background in analyzing account performance metrics, providing actionable insights, and optimizing operations. Experience in dialer management and outbound calling strategies is an advantage to help drive efficiency and enhance overall account outcomes. Responsibilities Analyze and interpret performance data for the account, identifying trends, variances, and opportunities for improvement. Attend to more complicated reporting requirements as required by business Collaborate with stakeholders to design and deliver insights-driven recommendations that align with business goals. Work closely with internal and external stakeholders to optimize outbound calling campaigns, ensuring efficient use of resources and high contact rates. Monitor, report and conduct analyses on KPIs such as contact rates, conversion rates, occupancy, and adherence. Partner with internal and external stakeholders to implement process improvements and best practices. Create and present regular performance reports, including detailed dashboards and ad hoc analyses. Conducts root cause analyses of SLA deviations, action plan development and resolution. Attends centralized or site management meetings, as required. Other assigned tasks as required by the business. Qualifications we seek in you! Minimum Qualifications / Skills Bachelor’s degree in business administration, Analytics, Statistics, or a related field (or equivalent experience). Experience as a Business Analyst in a contact center environment; experience in dialer and outbound operations is preferred. Advanced knowledge of MS Excel; experience with database management is a plus. Excellent analytical and problem-solving skills, with proficiency in data visualization tools (e.g., Power BI, Tableau). Proven ability to interpret large datasets and deliver insights that influence decision-making. Effective communication skills, both written and verbal, with the ability to present findings to senior leadership. Experience working with predictive dialers or similar technologies (e.g., NICE, Five9, Genesys, RingCentral, Livevox or Aspect). Has organizational and time-management skills with attention to detail. Familiarity with inbound and outbound calling in the Healthcare industry is an advantage Preferred Qualifications/ Skills Familiarity with workforce management concepts and tools. Experience in managing or collaborating with cross-functional teams. Ability to deliver insights-driven recommendations that align with business goals. Certifications in analytics or project management (e.g., CBAP, Six Sigma) are a plus. Why join Genpact? Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation Make an impact – Drive change for global enterprises and solve business challenges that matter Accelerate your career — Get hands-on experience, mentorship, and continuous learning opportunities Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. 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 respect and integrity, customer focus, and innovation. 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. Job Management Trainee Primary Location India-Hyderabad Schedule Full-time Education Level Bachelor's / Graduation / Equivalent Job Posting Aug 20, 2025, 9:18:56 PM Unposting Date Ongoing Master Skills List Operations Job Category Full Time

About the Company: Brakes India is at the forefront of leveraging AI-driven analytics in manufacturing. We are setting up an Advanced Analytics team to drive data-driven decision-making across the organization. About the Role: We are looking for an experienced Senior Data Scientist who will be part of this new Center of Excellence (CoE) and help build a high-performing analytics team. In this role, you will leverage your expertise in data analysis, machine learning, and artificial intelligence to drive insights and develop innovative solutions. You will collaborate with business SMEs and other IT divisions to identify business challenges and implement data-driven strategies that enhance our products and processes, and helps grow our business. Responsibilities: The Senior Data Scientist will Collect, clean, and analyze large datasets to extract meaningful insights. Utilize statistical methods to interpret data and identify trends. Design, develop, and implement machine learning models and algorithms tailored to specific business needs. Optimize models for performance and accuracy. Work closely with stakeholders to define project goals and deliver actionable insights. Stay up-to-date with the latest Al/ML trends, tools, and technologies. Experiment with new approaches to enhance our data science capabilities. Present findings and recommendations to both technical and non-technical audiences. Prepare clear documentation for methodologies and results. Develop metrics to assess the effectiveness of models and solutions. Continuously monitor and improve model performance. Lead the CoE to meet its stated objectives for formulating policies, standards, ethics, tools, technology stack and procedures around the use of AI and ML in the organization, among others. Mentor data scientists and support in organizational skilling in AI. Qualifications: Master’s or bachelor’s degree in computer science, Data Science, Statistics, or a related field. Required Skills: 5-7 years' experience in data science, machine learning, or artificial intelligence, with a strong portfolio of projects. Proficiency in programming languages such as Python, R, or Java, SQL Experience in ML Platforms like Azure Machine Learning, Databricks, Azure Data Factory and with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Expertise in working with Big Data technologies (eg Hadoop, Spark) & databases like Azure Data Lake, Delta Lake, Snowflake. Strong in MLOps & Deployment: Model training, versioning, monitoring, and deployment. Strong statistical analysis skills and experience with data visualization tools (e.g., Power BI, Matplotlib, Seaborn). Experience with deep learning frameworks and natural language processing (NLP). Understanding of business process and ability to translate business needs into technical requirements. Experience in AI/ML deployment Manufacturing industry is highly desired. Excellent problem-solving and critical-thinking skills. Strong communication and interpersonal skills. Experience in setting up CoEs or analytics practices is a plus. Why Join Us? Opportunity to be part of an Advanced Analytics CoE setup. Work on cutting-edge AI & ML projects in manufacturing. Direct impact on business-critical decisions and process optimization. Collaborative work culture with a focus on innovation and growth.

Hyderabad, Telangana Full time Opening on: Apr 28 2025 In Office Ascensus Roles & Responsibility: Draft data requests, perform data analysis and assess inconsistencies Prepare valuation data using Excel or Software application Update the valuation assumptions to the system, calculate liability and analyze results Prepare valuation reports, forms for regulatory reporting, prepare trust accounting and help on benefit distributions Assist with other special ad hoc projects and help senior colleagues. Education and skill Requirement: The ideal candidate will be an avid learner and will have the ability to work with limited A Bachelor’s degree in Mathematics, Statistics, or related field Excellent communication and problem-solving skills Excellent cognitive ability, analytical skills, organization, and recall Ability to work in a fast-paced environment Ability to work individually and as a team player Ability to adapt to changes in the work environment Flexibility in work culture (Example – She/he should be flexible in Day/Night shift based on business requirement) Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website. For all virtual remote positions, in order to ensure associates can effectively perform their job duties with no distractions, we require an uninterrupted virtual work space and there is also an expectation of family care being in place during business hours. Additionally, there is an internet work speed requirement of 25 MBps or better for individual use. If more than one person is utilizing the same internet connection in the same household or building, then a stronger connection is required. If you are unsure of your internet speed, please check with your service provider. Note: For call center roles specifically, it is a requirement to either hardwire your equipment directly to the internet router or ensure your workstation is in close proximity to the router. Please ensure that you are able to meet these expectations before applying. At Ascensus, we aspire to make a difference for others. We are a technology-enabled services company that helps people save for a better future through our network of institutional, financial advisor, and state partners. Our culture is guided by sound principles, is committed to high standards, operates with transparency, and welcomes diversity—housed within our Core Values: People Matter. Quality First. Integrity Always.® Ascensus provides equal employment opportunities to all associates and applicants for employment without regard to ancestry, race, color, religion, sex, (including pregnancy, childbirth, breastfeeding and/or related medical conditions), gender, gender identity, gender expression, national origin, age, physical or mental disability, medical condition (including cancer and genetic characteristics), marital status, military or veteran status, genetic information, sexual orientation, criminal conviction record or any other protected category in accordance with applicable federal, state, or local laws (“Protected Status”).