387 Statistical Modeling Jobs - Page 8

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail

Job Summary: We are seeking a skilled Data Scientist with experience in both Python and SAS to join our high-performing analytics team. The ideal candidate will be adept at developing predictive models, analyzing large datasets, and delivering actionable insights using modern data science tools and platforms. Key Responsibilities: Design and develop machine learning and statistical models using Python and SAS. Conduct data exploration, preprocessing, and analysis on structured and unstructured datasets. Use SAS (Base, Advanced, Enterprise Guide, Visual Analytics, or SAS Viya) for reporting, data preparation, and statistical modeling as required. Work with large-scale datasets using Python libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow. Translate business requirements into technical solutions in collaboration with cross-functional teams. Build data pipelines and automate workflows for data analysis and model deployment. Present data-driven insights through visualizations using tools such as Seaborn, Plotly, Matplotlib, or SAS VA. Document models, code, and methodologies for reproducibility and auditability. Qualifications: 2-10 years of experience in data science, machine learning, or advanced analytics. Proficient in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.) and SAS (Base, Advanced, DI, VA, or Viya). Strong knowledge of SQL and experience working with relational databases. Solid foundation in statistical analysis, hypothesis testing, regression, classification, clustering, etc. Experience in building, evaluating, and deploying predictive models. Excellent communication skills and ability to convey complex findings to non-technical stakeholders. Preferred Qualifications : Experience with big data tools (Spark, Hive, Hadoop). Exposure to MLOps tools (MLflow, Airflow, Docker, etc.). Familiarity with cloud platforms (AWS, Azure, GCP). Understanding of SAS integration with cloud or open-source tools. Experience with NLP, image recognition, or deep learning frameworks. Location: Pan India- Delhi / NCR,Bangalore/Bengaluru,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

Grade : 3B Reporting To : Sr Manager / DGM Designations Reporting To This Role : Asst.Managers & Lead Data Analysts Department : Business Intelligence Profile Description : This role of a Portfolio Leader would be to lead a team of BI Professional and help transform information & data into insights and thereby enable data based decision support for operations leaders to improve cash outcomes. The role will also focus on Cost Optimization and Client Management. Key Responsibilities : Process : Monitor the SLAs and update the stakeholders proactively on the trends Responsible for identifying gaps in the metrics defined by the team and identifying trends within data sets Identifying cash escalations / Global issues and resolving them with the Operations and Client to accelerate cash. Identify new use cases for statistical modeling and Automations Responsible for client & C suite facing reports & metrics to drill down analysis and automation Identify Key Improvement Area providing domain specific updates and Monitor current cash trend and forecast cash using business intelligence tools Manage all reporting activities for all key business metrics for internal and external customers ensure delivery of accurate reports on time every time Provide deep dive data analysis and insights on sub optimal performance on key Medical Coding metrics Manage ad hoc requests for Medical Coding and enterprise level metrics analysis and reports from leadership and operational stakeholders Engage in new transitions to set up seamless reporting systems People: Support and Improve Performance through tracking, feedback and Coaching Accountable to check attrition within the team through timely identification and retention of probable exits in the team Ensure an engaged and motivated workforce through timely appreciations and reward mechanisms Ensuring a Learning culture through 100% Training program coverage for members in the Team. Develop the skills of the BI team through continuous training and skill development workshops Support and manage your team s project priorities, deadlines, and deliverables. Ensure 100% compliance of the BI/MIS team to all applicable compliance requirements Updates and maintains own expertise, shares this with colleagues and contribute to a positive work environment Client: Schedule monthly collaboration meets with team and Operations process updates, key metrics, cash dip analysis and Ad Hocs analysis requests. Engage with client leadership, understand their business requirements and aim to resolve those through data reporting and analytics ex: identify shift in patterns of coding patterns for providers, looking at billing practices and revenue integrity, run under/over payment reports Manage conflicting priorities and working relationships effectively Client MBR reporting Set-up process KPI reporting systems for new clients Financial: Constantly look for and execute report automation opportunities to achieve cost reduction and accuracy improvement Support small to medium complexity automation of processes in service delivery Qualifications: Graduation in any stream is a must. Post Graduate in Business Administration/Analytics/Engineering OR Statistics would be preferred Role Prerequisites: Overall experience of 7 to 10 years is a must out of which one should have a minimum of 4 years of experience in handling reporting & analytics. A relevant experience of 5+ years in the US healthcare Medical Coding is a must 3 plus years of experience in managing a team of reporting analysts is a must Functional Competencies: Strong inclination towards numbers, excel spreadsheets, formulae, queries would be a must Knowledge across Medical Coding function Experience and Knowledge of Project Management would be preferred Certification in statistics and data science would be preferred Excellent Communication Skills Excellent Stakeholder Management skills - Ability to interact with senior leadership/clients and manage Ability to deliver high impact amid complexity, ambiguity and competing priorities Behavioral Competencies: Teamwork Communication Customer Centricity Achievement Orientation Developing Others

Overview Provide a dvanced a nalytics support for the LATAM Sector in the Insights Services Center ; a part of the broader Global Business Services function in Hyderabad, India. This role will help to enable a ccelerate d growth for PepsiCo by developing custom descriptive analytics approaches for LATAM to drive deeper understanding of business performance drivers both at the N ational / R egional / State /City level. Primary responsibilities include develop ing/ enhanc ing statistical models to address key business questions associated with Growth Driver Modeling , P ricing, A ssortment, M arket S tructure, I nnovation F orecasting, and C ategory G rowth F orecasts, P ortfolio growth model , Ambition related assignments for the key markets of LATAM . Additionally, this role will also support the consumer insight team by collating learnings from a variety of sources, to help inform the development of future insights strategies for various brands with in Bevareages / Snacks . The role will have short-term responsibilities for knowledge transfer from the Vendors and effective ly establishing business process and communication methods with teams they support ; both are crucial requirements to enabling the organization to deliver answers to on-going business questions Responsibilities Functional Responsibilities: Support delivery of descriptive and predictive analytics as defined by the SLA (Service Level Agreement) within the LATAM Business Service Service Center Execute deep descriptive analytics of business performance and drivers to supplement standard reporting and inform data-driven decisions Identify, assess, and visualize key market share drivers for LATAM Categories, as a growth catalyst to prioritize and enable brand planning across portfolio Support LATAMregion s annual SKU optimization process for the portfolio; analyzing impact by channel, customers and region as needed based on HQ delivered recommendations & targets Advise and share Advanced Analytics models and best practices with Regional Category Managers to leverage and build Advanced Analytics capability. Develop, maintain, and apply statistical models to business questions - including forecasting, price sensitivities/corridors, drivers analysis, market structure, etc. Forecast market growthleveraging (PGM an internal tool) on an annual basis to inform PEP s long-term expectations for growth Collate and format consumer learnings from custom insight outputs, sales performace reporting, industry periodicals, and social listening resources, etc to help inform and develop future consumer insights strategies Provide responsestoad-hoc follow-ups when double-click (additional questions) required with tables/charts for relevant data Support relationships with the key end-user stakeholdersin LATAMand region offices Own flawless execution of analytics exercises Responsible for managing multiple priorities; being able to manage deadlines and deliverables Lead communication withBusiness Partners and potentially end-users on matters such as available capacity, changes of scope of existing projects and planning of future projects Deliver outputs in line with the agreed timelines andformats Flag and monitor any business risks related to delivering the requested outputs Partner with stakeholders and service center leadership to develop and finetune internal COE processes (work-flow mapping, pain-points and bottlenecks management) both related to service delivery and internal center operations Improve existing processes based on frequent Business Partner & end-user feedback loop People and Project Management Responsibilities Leading a team of 4-5 data scientists and modelers Develop new skillsets among team members related to advanced analytics by conducting training and period review Promotes cross functional seamless communication, sharing know how and creating same quality of experience across sector markets Qualifications 10-14 years of experience in the field of analytics Critical experience as Data Scientist and Programming in Python & BI skills, basic statistics like regression, types of distribution, expertise in Nielsen, knowledge of media sufficiency/MMM is good to have Experience either in boutique analytics consulting or Captive analytics teams Have been hands-on modeler in the past specifically in market mix /attribution modeling, CPG domain preferred. Experience in translating business problem into analytics framework and vice versa Experience in leading mid-sized teams of data scientists and modelers Well versed in statistical techniques Educational Background- BE/B TECH/ MSC Economics or Statistics, MBA preferred for Analytics translator High degree of familiarity with CPG and Food & Beverage industry data sources, including Nielsen/IRi (POS and HH panel), Global Data, Kantar Worldpanel, etc. Deep understanding of CPG industry business performance outputs and causal measures, their relationships, and how to address business questions in a robust way that translates to simple outputs Experience with Agile development methods, SQL, R, Python desired Strong collaborator: Interested and motivated by working with others. Actively creates and participates in opportunities to co-create solutions across markets; will be willing and able to embrace Responsive Ways of Working Can easily see how insights/research learning can improve businesses impact and frames up reporting efforts and opportunities to inform business decisions Proven analytics, shopper research experience, or consumer insights experience applying statistics to CPG industry business problems Operational experience from business servicing sector and/or consulting experience would be a plus Language: English Fluent.

Job Title: Senior Analyst Job Location: Remote- WFH Base Location- Bangalore Please find the skillsets below and send us quality profiles on regular basis. Headcounts : 1 Must-Have: 8-12 years experience in Data Science, Machine Learning, NLP, LLM, Prompts, A/B Testing, Hypothesis Testing, Python, SQL, PowerBI, Statistical & Descriptive Analysis Good to Have : Google Analytics, Product Metrics (Conversion Rate, Retention, LTV, Unit Economics) Qualification: B.E/ B.Tech or Bsc + Msc Statistics Work mode : Remote Note : Candidates must be willing to work from 4pm/5pm to midnight weekly twice or thrice based on business requirements. Also Hiring Manager for this role sits in Ukraine. Interview Process: Recruiter screening- 30 mins Screening round- 30 mins- India Panel Technical 1- 60 mins- Ukraine Panel Technical 2- 60 mins- US panel Competency round- 60 mins- US panel Value & Fitment round- 30 mins What You'll Do • Collaborate with Product and Analytics leadership to conceive and structure analysis and deliver highly actionable insights from deep dives into specific areas of our business. • Conduct analysis of a tremendous amount of internal & external data to find growth & optimization opportunities for the business. • Package and communicate findings and recommendations to a broad audience (including senior leadership) • Perform both Descriptive & Prescriptive Analytics including experimentations (AB, MAB), build Reporting for understanding trends. • Perform advanced modeling including (NLP, Text mining) would be preferable. • Implement and track business metrics that will help drive the business. • Help determine growth strategy from a marketing and operations perspective. • Responsible/Opportunity to operate in an individual capacity as a lead analyst to understand JA audience and guide informed strategic decisions & executions. What Were Looking For • 8+ years of experience in e-commerce/customer experience products • Proficiency in analysis and business modeling using Excel. • Experience with Google Analytics, BigQuery, Google Ads, PowerBI, and Python / R would be a plus. • Experience with SQL with a strong ability to write complex queries to extract information and arrive at an answer. • Expertise in Descriptive Statistical Analysis, Inferential Statistical Analysis • Strong experience in setting up and driving A/B Testing or Hypothesis Testing and analyzing the results. • Ability to translate analysis results into business recommendations, and excellent written and confident verbal communication skills. • Ability to communicate effectively with all levels of management and partners from a variety of business functions. • Advanced English level • App-related experience would be preferable.

1. Performing in-depth secondary research analysis and primary research through telephonic interviews surveys, and questionnaires 2. Analyze data using statistical software and tools 3. Updating the structure and content of the report as per industry expectations/standards and feedback. 4. Should have the sound aptitude and a good logical approach. 5. Experience required from the Market Research industry only. 6. Immediate joiners are preferred for the positions. 7. Must have sound knowledge of Microsoft Excel.

IT & Technology Senior Manager Data Analytics Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail Experience: Minimum 8 Years Of Experience

IT & Technology Senior Manager Data Analytics Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail Experience: Minimum 8 Years Of Experience

The Global Business Solutions Center team is looking for a hands-on data leader to partner with the Product & Process Transformation team to drive deep analytical insights and build robust data models that improve product execution and strategic decision-making. As Director of Data Modelling and Insights, you will apply advanced Excel, Power Query, and Power BI skills to structure, clean, and transform data into meaningful dashboards, forecasts, and performance measures. The ideal candidate brings a high degree of rigor and creativity, capable of bridging operational questions with advanced modeling techniques such as Bayesian forecasting, crosstab analysis, and time-series insights. You will partner closely with product teams to uncover friction points, identify patterns, and shape performance targets that are tied to business outcomes. In this position, you will: Build and maintain robust data models in Power BI to support strategic decision-making across product and process initiatives. Use Power Query to extract, transform, and clean large datasets from multiple systems. Design and implement DAX measures to calculate metrics, track performance, and surface key business insights. Lead analytical deep dives into product velocity, pipeline friction, and development timelines using timestamp analysis. Develop Bayesian forecasting models to predict outcomes such as launch timing, completion risk, or capacity gaps. Construct crosstab analyses and experimental frameworks to assess impact of interventions or process changes. Define measurement frameworks and partner with teams to set meaningful targets that drive accountability. Collaborate cross-functionally with product managers, engineers, and finance leads to embed data thinking into everyday decisions. The ideal candidate for this position: bachelors or masters degree in Data Science, Engineering, Mathematics, Economics, or related field. 8+ years of experience in data analytics, business intelligence, or applied statistical modeling. Expert-level experience with Microsoft Excel (including Power Query and advanced functions). Deep proficiency in Power BI, including data modeling, DAX, and building interactive dashboards. Demonstrated experience applying statistical and probabilistic methods (eg, Bayesian modeling) in a business context. Strong communication skills with the ability to translate analytical findings into actionable recommendations. Analytical problem solver with a passion for exploring patterns and making data-driven decisions. Highly organized systems thinker who can distill complexity into structured models and clear insights. Proactive collaborator who thrives in cross-functional environments and builds trust through accuracy and delivery. Corporate Security Responsibility Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position must: Abide by Mastercard s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard s guidelines.

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail Experience: Minimum 8 Years Of Experience.

Our Purpose Title and Summary Director, Modelling & Insights Director, Data Modelling and Insights Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview The Global Business Solutions Center team is looking for a hands-on data leader to partner with the Product & Process Transformation team to drive deep analytical insights and build robust data models that improve product execution and strategic decision-making. As Director of Data Modelling and Insights, you will apply advanced Excel, Power Query, and Power BI skills to structure, clean, and transform data into meaningful dashboards, forecasts, and performance measures. The ideal candidate brings a high degree of rigor and creativity, capable of bridging operational questions with advanced modeling techniques such as Bayesian forecasting, crosstab analysis, and time-series insights. You will partner closely with product teams to uncover friction points, identify patterns, and shape performance targets that are tied to business outcomes. Role In this position, you will: Build and maintain robust data models in Power BI to support strategic decision-making across product and process initiatives. Use Power Query to extract, transform, and clean large datasets from multiple systems. Design and implement DAX measures to calculate metrics, track performance, and surface key business insights. Lead analytical deep dives into product velocity, pipeline friction, and development timelines using timestamp analysis. Develop Bayesian forecasting models to predict outcomes such as launch timing, completion risk, or capacity gaps. Construct crosstab analyses and experimental frameworks to assess impact of interventions or process changes. Define measurement frameworks and partner with teams to set meaningful targets that drive accountability. Collaborate cross-functionally with product managers, engineers, and finance leads to embed data thinking into everyday decisions. All About You The ideal candidate for this position: Bachelor s or Master s degree in Data Science, Engineering, Mathematics, Economics, or related field. 8+ years of experience in data analytics, business intelligence, or applied statistical modeling. Expert-level experience with Microsoft Excel (including Power Query and advanced functions). Deep proficiency in Power BI, including data modeling, DAX, and building interactive dashboards. Demonstrated experience applying statistical and probabilistic methods (e.g., Bayesian modeling) in a business context. Strong communication skills with the ability to translate analytical findings into actionable recommendations. Analytical problem solver with a passion for exploring patterns and making data-driven decisions. Highly organized systems thinker who can distill complexity into structured models and clear insights. Proactive collaborator who thrives in cross-functional environments and builds trust through accuracy and delivery. Corporate Security Responsibility Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position must: Abide by Mastercard s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard s guidelines.

About the Opportunity Job TypeApplication 21 June 2025 Title Senior Analyst- Data Scientist Department Data Value Location Gurgaon Reports To Suman Kaur Level 3 Were proud to have been helping our clients build better financial futures for over 50 years. How have we achieved thisBy working together - and supporting each other - all over the world. So, join our Data Value team and feel like youre part of something bigger. About your team Data Value team drives the renewed focus of extracting value from Fidelitys data for business and client insights and working as one voice with the business, technology, and data teams. The teams vision is to create measurable business impact by leveraging technology and utilising the skills to generate valuable insights and streamline engagements. The Data Science function within Data Value supports Fidelity Internationals Sales, Marketing, Propositions, Risk, Finance, Customer Service and HR teams across the globe. The key objectives of the function are: To develop deep customer insights for our businesses helping them segment and target customers more effectively To develop a fact-based understanding of sales trends and identify actionable sales growth opportunities for each of our sales channels To understand customer preferences in terms of products, service attributes and marketing activity to help refine each of these To help develop new services lines e.g. develop customer analytics for key IFAs, DC Clients, Individual clients etc. To develop market and competitive intelligence in our key markets to help shape our business planning in those markets The function works directly with business heads and other senior stakeholders stakeholders to identify areas of analytics, define problem statements and develop key insights. About your role You will be expected to take a leading role in developing the Data Science and Advanced Analytics solutions for our business. This will involve: Engaging with the key stakeholders to understand Fidelitys sales, marketing, client services and propositions context Implement advanced analytics solutions on On-Premises/Cloud platforms, develop proof-of-concepts and engage with internal and external ecosystem to progress the proof of concepts to production. Engaging and collaborating with different other internal teams like Data engineering, DevOps, technology team etc for development of new tools, capabilities, and solutions. Maximize Adoption of Cloud Based advanced analytics solutionsBuild out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce. About you Key Responsibilities Developing and Delivering Data Science solutions for business (40%) Partner with internal (FIL teams) & external ecosystem to design and deliver advanced analytics enabled Data Science solutions Create advanced analytics solution on quantitative and text data using Artificial Intelligence, Machine Learning and NLP techniques. Create compelling visualisations that enable the smooth consumption of predictions and insights for customer benefit . Stakeholder Management (30%) Works with channel heads/stakeholders and other sponsors understand the business problem and translate it into appropriate analytics solution. Engages with key stakeholders for smooth execution, delivery, and implementation of solutions Adoption of Cloud enabled Data Science solutions(20%) Maximize Adoption of Cloud Based advanced analytics solution Build out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce Deploy solutions in productions while adhering to best practices involving Model Explainability, MLOps, Feature Stores, Model Management, Responsible AI etc Collaboration and Ownership (10%) Sharing of knowledge, best practices with the team including coaching or training in some of deep learning/machine learning methodologies. Provides mentoring, coaching, and consulting advice and guidance to staff, e.g. analytic methodologies, data recommendations Takes complete independent ownership of the projects and the initiatives in the team with the minimal support Experience and Qualifications Required Qualifications: Engineer from IIT/Masters in field related to Data Science/Economics/Mathematics (Tie1 Institutions like ISI, Delhi School of Economics)/M.B.A from tier 1 institutions Must have Skills & Experience Required: Overall, 8+ years of experience in Data Science and Analytics 5+ years of hands-on experience in - Statistical Modelling /Machine Learning Techniques/Natural Language Processing/Deep Learning 5+ years of experience in Python/Machine Learning/Deep Learning Excellent problem-solving skills Should be able to run analytics applications such as Python, SAS and interpret statistical results Implementation of models with clear measurable outcomes Good to have Skills & Experience Required: Ability to engage in discussion with senior stakeholders on defining business problems, designing analyses projects, and articulating analytical insights to stakeholders. Experience on SPARK/Hadoop/Big Data Platforms is a plus Experience with unstructured data and big data Experience with secondary data and knowledge of primary market research is a plus. Ability to independently own and manage the projects with minimal support. Excellent analytical skills and a strong sense for structure and logic Ability to develop, test and validate hypotheses. Feel rewarded For starters, well offer you a comprehensive benefits package. Well value your wellbeing and support your development. And well be as flexible as we can about where and when you work finding a balance that works for all of us. Its all part of our commitment to making you feel motivated by the work you do and happy to be part of our team. For more about our work, our approach to dynamic working and how you could build your future here, visit careers.fidelityinternational.com.

About the Opportunity Job TypeApplication 20 June 2025 Title Data Scientist, Risk Data Analytics Department Data Value Location Gurgaon Reports To Associate Director, Risk Data Analytics Level 5 Were proud to have been helping our clients build better financial futures for over 50 years. How have we achieved thisBy working together - and supporting each other - all over the world. So, join our Data Value team and feel like youre part of something bigger. About Global Risk The Global Risk team in Fidelity covers the management oversight of Fidelitys risk profile, including key risk frameworks, policies and procedures and oversight and challenge processes. The team partner with the businesses to ensure Fidelity manages its risk profile within defined risk appetite. The team comprises risk specialists covering all facets of risk management, including investment, financial, non-financial and strategic risk. As part of a broader General Counsel team, the Risk team collaborates closely with Compliance, Legal, Tax and Corporate Sustainability colleagues. About Risk Data Analytics Hub The vision of Risk Data Analytics Hub is to establish a data-centric risk function that is forward-thinking, resilient, and proactive. The hubs mission is to enhance risk management processes and unlock innovative opportunities in the ever-changing risk and business landscape. The Hub has made significant strides in the Investment Risk, delivering prominent contributions such as the Fund Performance Monitoring, Fund Aggregate Exposures, Fund Market Risk, Fund Liquidity Risk, and other comprehensive monitoring and reporting dashboards. These tools have been crucial in supporting risk oversight and regulatory submissions. The Hubs goal is to scale this capability across global risk, using data-driven insights to uncover hidden patterns and predict emerging risks. This will enable decision-makers to prioritise actions that align with business objectives. The approach is to dismantle silos and foster collaboration across the global risk team, introducing new tools, techniques, and innovation themes to enhance agility. About your role You will be expected to take a leading role in developing the Data Science and Advanced Analytics solutions for our business. This will involve: Engaging with the key stakeholders to understand various subject areas in Global Risk Team including Investment Risk, Non-Financial Risk, Enterprise Risk, Model Risk, Enterprise Resilience etc. Implement advanced analytics solutions on On-Premises/Cloud platforms, develop proof-of-concepts and engage with internal and external ecosystem to progress the proof of concepts to production. Engaging and collaborating with different other internal teams like Data Lake, Data Engineering, DevOps/MLOps, Technology team etc for development of new tools, capabilities, and solutions. Maximize adoption of Cloud Based advanced analytics solutionsBuild out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce. Support delivered models and infrastructure on AWS including data changes and model tuning About you Key Responsibilities Developing and Delivering Data Science solutions for business (40%) Partner with internal (FIL teams) & external ecosystem to design and deliver advanced analytics enabled Data Science solutions. Create advanced analytics solution on quantitative and text data using Artificial Intelligence, Machine Learning and NLP techniques. Create compelling visualisations that enable the smooth consumption of predictions and insights for customer benefit. . Stakeholder Management (30%) Works with Risk SMEs/Managers, stakeholders and sponsors to understand the business problem and translate it into appropriate analytics solution. Engages with key stakeholders for smooth execution, delivery, implementation and maintenance of solutions. Adoption of Cloud enabled Data Science solutions(20%) Maximize Adoption of Cloud Based advanced analytics solution Build out sandbox analytics environments using Snowflake, AWS, Adobe, Salesforce Deploy solutions in productions while adhering to best practices involving Model Explainability, MLOps, Feature Stores, Model Management, Responsible AI etc Collaboration and Ownership (10%) Sharing of knowledge, best practices with the team including coaching or training in some of deep learning/ machine learning methodologies. Provides mentoring, coaching, and consulting advice and guidance to staff, e.g. analytic methodologies, data recommendations. Takes complete independent ownership of the projects and the initiatives in the team with the minimal support. Experience and Qualifications Required Qualifications: Engineer from IIT/Masters in field related to Data Science/Economics/Mathematics (Tie1 Institutions like ISI, Delhi School of Economics)/M.B.A from tier 1 institutions Must have Skills & Experience Required: Overall, 9+ years of experience in Data Science and Analytics 5+ years of hands-on experience in - Statistical Modelling /Machine Learning Techniques/Natural Language Processing/Deep Learning 5+ years of experience in Python/Machine Learning/Deep Learning Excellent problem-solving skills Should be able to run analytics applications such as Python, SAS and interpret statistical results Implementation of models with clear measurable outcomes Good to have Skills & Experience Required: Ability to engage in discussion with senior stakeholders on defining business problems, designing analyses projects, and articulating analytical insights to stakeholders. Experience on SPARK/Hadoop/Big Data Platforms is a plus. Experience with unstructured data and big data. Experience with secondary data and knowledge of primary market research is a plus. Ability to independently own and manage the projects with minimal support. Excellent analytical skills and a strong sense for structure and logic. Ability to develop, test and validate hypotheses.

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail Location: Anywhere in /Multiple Locations- Delhi / NCR,Bangalore/Bengaluru,Hyderabad/Secunderabad,Chennai,Pune,Kolkata,Ahmedabad,Mumbai

Greetings From Mr.Cooper !!! Currently we are hiring for Quantitative Analyst Position and below mentioned are the job specifications. Experience: 2-6 Years Location: Chennai Work Mode: Work From Office Mandatory Skills: Python/R, SQL Modeling(Statistical/Predictive/Linear Regression) Job Description: Job Description Develop, implement, and refine complex models. Provide high-level quantitative insights and recommendations to support strategic decision-making. Work closely with management to align quantitative strategies with business objectives. Perform rigorous model validation to ensure their accuracy and reliability. Oversee the collection, integration, and analysis of large datasets to support model development and decision-making. Ensure data quality, consistency, and availability for quantitative analysis. Utilize advanced statistical techniques and machine learning algorithms to derive insights from data. Continuously monitor the performance of quantitative models and trading strategies. Optimize models and algorithms to enhance their efficiency, accuracy, and profitability. Implement automated systems for monitoring and alerting. Interested candidates please share your cv to lakshmipriya.vijayakrishnan@mrcooper.com

About iSOCRATES Since 2015, iSOCRATES advises on, builds and manages mission-critical Marketing, Advertising and Data technologies, platforms, and processes as the Global Leader in MADTECH Resource Planning and Execution(TM). iSOCRATES delivers globally proven, reliable, and affordable Strategy and Operations Consulting and Managed Services for marketers, agencies, publishers, and the data/tech providers that enable them. iSOCRATES is staffed 24/7/365 with its proven specialists who save partners money, and time and achieve transparent, accountable, performance while delivering extraordinary value. Savings stem from a low-cost, focused global delivery model at scale that benefits from continuous re-investment in technology and specialized training. About MADTECH.AI MADTECH.AI is the Unified Marketing, Advertising, and Data Decision Intelligence Platform purpose-built to deliver speed to value for marketers. At MADTECH.AI, we make real-time AI-driven insights accessible to everyone. Whether youre a global or emerging brand, agency, publisher, or data/tech provider, we give you a single source of truth - so you can capture sharper insights that drive better marketing decisions faster and more affordable than ever before. MADTECH.AI unifies and transforms MADTECH data and centralizes decision intelligence in a single, affordable platform. Leave data wrangling, data model building, proactive problem solving, and data visualization to MADTECH.AI. Job Description: We are currently seeking an experienced Manager, Data Science, to lead our growing Data Science team. The role involves overseeing the development and implementation of advanced data science techniques to improve media campaigns and enhance our AI-powered solutions. The manager will collaborate with cross-functional teams, providing leadership in analyzing and defining audience, campaign, and media trading data. Key Responsibilities: 1) Team Leadership & Management: Lead and mentor a team of data scientists, providing guidance in the design, development, and implementation of innovative data solutions. Foster a collaborative and high-performance team culture, ensuring the team is aligned with business goals and technical objectives. 2) Advanced Analytics & Data Science Expertise: Drive the application of statistical, econometric, and Big Data methods to define business requirements, design analytics solutions, and optimize economic outcomes. Utilize advanced modeling techniques, including propensity modeling, Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), and Bayesian statistics to enhance campaign effectiveness. 3) Generative AI & NLP Leadership: Lead the implementation and development of Generative AI(GenAI), Large Language Models(LLM), and Natural Language Processing (NLP) techniques for data modeling and predictive analysis. Ensure the integration of AI-driven technologies to improve data science capabilities and results. 4) Data Architecture & Management: Architect and manage data systems, integrating data from diverse sources, ensuring the optimization of audience, pricing, and contextual data for ad-tech applications. Oversee the management and utilization of DSPs, SSPs, DMPs, and other critical systems in the ad-tech ecosystem. 5) Cross-Functional Collaboration: Work closely with teams from Product, System Development, Yield, Operations, Finance, Sales, and Business Development to ensure seamless data quality and predictive outcomes across campaigns. Design and deliver actionable insights and reporting tools for both internal and external business partners. 6) Predictive Modeling & Optimization: Lead the development of predictive models to optimize media campaigns, focusing on revenue, audience behavior, bid actions, and ad inventory optimization. Analyze campaign performance and provide data-driven recommendations for optimization across multiple media channels, including websites, mobile apps, and social media. 7) Data Collection & Quality Assurance: Oversee the collection, management, and quality assurance of data, ensuring high standards and efficient systems for in-depth analysis and reporting. Lead the development of tools and methodologies for complex data analysis, model development, and visualization to support business objectives. Qualifications & Skills: Masters or Ph.D. in Statistics, Engineering, Science, or Business, with a strong foundation in mathematics and statistics. 10 to 15 years of experience in data science, predictive analytics, and digital analytics, with at least 7 years of hands-on experience in modeling, analysis, and optimization within the media, advertising, or tech industry. At least 6 years of hands-on experience with Generative AI, Large Language Models, and Natural Language Processing techniques. Strong proficiency in data collection, machine learning, and deep learning techniques using tools such as Python, R, Pandas, scikit-learn, Hadoop, Spark, MySQL, SQL and AWS S3. Experience working with DSPs, SSPs, DMPs, and other programmatic systems in digital advertising. Expertise in statistical modeling, customer segmentation, persona building, and predictive analytics. Advanced understanding of programmatic media optimization, audience behavior, and pricing strategies. Strong problem-solving skills with the ability to adapt to evolving business needs and deliver solutions proactively. Experience in designing analytics dashboards, visualization tools, and reporting systems. Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders. Ability to manage multiple tasks and projects effectively, both independently and in collaboration with remote teams. An interest in working in a fast-paced, dynamic environment, focused on revenue and analytics in the digital media space. Relocation to Mysuru or Bengaluru required.

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail

Job Summary: We are seeking a skilled Data Scientist with experience in both Python and SAS to join our high-performing analytics team. The ideal candidate will be adept at developing predictive models, analyzing large datasets, and delivering actionable insights using modern data science tools and platforms. Key Responsibilities: Design and develop machine learning and statistical models using Python and SAS. Conduct data exploration, preprocessing, and analysis on structured and unstructured datasets. Use SAS (Base, Advanced, Enterprise Guide, Visual Analytics, or SAS Viya) for reporting, data preparation, and statistical modeling as required. Work with large-scale datasets using Python libraries such as Pandas, NumPy, Scikit-learn, and TensorFlow. Translate business requirements into technical solutions in collaboration with cross-functional teams. Build data pipelines and automate workflows for data analysis and model deployment. Present data-driven insights through visualizations using tools such as Seaborn, Plotly, Matplotlib, or SAS VA. Document models, code, and methodologies for reproducibility and auditability. Qualifications: 2-10 years of experience in data science, machine learning, or advanced analytics. Proficient in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.) and SAS (Base, Advanced, DI, VA, or Viya). Strong knowledge of SQL and experience working with relational databases. Solid foundation in statistical analysis, hypothesis testing, regression, classification, clustering, etc. Experience in building, evaluating, and deploying predictive models. Excellent communication skills and ability to convey complex findings to non-technical stakeholders. Preferred Qualifications : Experience with big data tools (Spark, Hive, Hadoop). Exposure to MLOps tools (MLflow, Airflow, Docker, etc.). Familiarity with cloud platforms (AWS, Azure, GCP). Understanding of SAS integration with cloud or open-source tools. Experience with NLP, image recognition, or deep learning frameworks. Location- Pan ,Delhi NCR,Bengaluru,Chennai,Pune,Kolkata,Ahmedabad,Mumbai, Hyderabad Education- Bachelor's degree in Computer Science, Information Technology, or a related field.

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail

Role And Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement recommendations including changes in operational processes, technology or data management - Primary area of focus: PSCM/ VMI business; secondary area of focus: ICS KPI s - Business improvements pre & post (either operational program, algorithm, model or resultant software). Improvements measured in time and/or dollar savings - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : - R or python (Data Cleaning, Statistical and Modelling packages) , SQL, VBA and DAX (PowerBI) - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE Responsibilities - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company s, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills - Analytical skills - Negotiation - Convincing skills Key Competencies - Never give up attitude - Flexible - Eye to detail

Workdays : Mon to Fri Job Description: The Data Scientist is responsible for contributing to the development of the strategy for Analytics, Reporting and Metrics building in line with overall Business Information Services strategy leveraging visualization tools/business intelligence platforms. Your role will include the following:- Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Leveraging business intelligence tools i.e Spotfire for analysis and review. Develop custom data models and algorithms to apply to data sets. Providing specialist support for development, interpretation and application of machine learning models Applying analytical and statistical methods to solve identified use cases in an agile manner using various data sources and analytical tools Work with key stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Liaising, advising and negotiating with key customer groups on requirements and proposing innovative solutions to meet their data modelling requirements Responsible for the development and implementation of capabilities to make provisioning of routine requests more routine, structured and efficient Contributing to initiatives that enable faster and more effective data modelling/analysis and provisioning Ensuring systems and code, documentation are inspection ready What Required: Were looking for someone with 3-5 years of experience manipulating data sets and building statistical models, has a Masters or PHD in Statistics, Mathematics, Computer Science. Experience using statistical computer languages Python & SQL (R Considered) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Experience of clinical data and domains (Experience working within Clinical Trials or the wider Pharmaceutical industry) preferable but not necessary Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques.

Role: Lead Analyst (Retail Analytics) Exp: 5-10 years Work location: Bangalore, Chennai, Hyderabad, Pune, Mumbai, Gurgaon Mandatory Skills: SQL + Python + Tableau or PowerBI or Datorama or Looker Studio + Advanced Excel + Statistical Modelling + Retail Analytics Good to have skills: R, SAS, Deep Learning, Artificial Intelligence Interested candidates can share their profiles with bindu@logicalhiring.com References are welcome! For other open roles, please visit - www.logicalhiring.com

Role: Senior Analyst (Retail Analytics) Exp: 3-8 years Work location: Bangalore, Chennai, Hyderabad, Pune, Mumbai, Gurgaon Mandatory Skills: SQL + Python + Tableau or PowerBI or Datorama or Looker Studio + Advanced Excel + Statistical Modelling + Retail Analytics Good to have skills: R, SAS, Deep Learning, Artificial Intelligence Interested candidates can share their profiles with bindu@logicalhiring.com References are welcome! For other open roles, please visit - www.logicalhiring.com

Job Summary We are seeking a skilled Data Scientist to join Digital Finance-Disruptive Tec - Global Finance Services Division. The incumbent would be Performing analytical tasks and initiatives on huge amount of data to support data-driven business decision and development. The preference for this role is to be based out of Whitefield Office, Bangalore, India What you will do Caterpillar uses quantitative methods such as business simulations, data mining, and advanced statistical techniques to solve problems. The Data Scientist contributes to this mission by leveraging his or her quantitative analysis, data management, modeling and/or data visualization skills as an individual contributor to project teams tasked with solving business problems. Caterpillar uses quantitative techniques to solve problems. Typical problems include maximizing Operating Profit After Capital Charge through improvements in Inventory Costs, Material Costs, New Product Introduction costs, etc.; determining the principal drivers of health care costs; recommending the optimal supplier for a part; identifying sales, rental, and service opportunities for Caterpillar dealers; and developing simulation/optimization capabilities to model a new facility or product feature. In addition, analytics experts also provide assistance to high-profile enterprise-wide projects such as the Engineered Value Chain. The principal responsibility of the Data Scientist is to be an independent contributor to multi-person analytic teams. This position has a depth of knowledge in quantitative analytic methods, data management, and or associated digital technologies suitable to handle all but the most complex issues. This position is expected to be familiar with the company s processes, products, and organization, as well as its customers, competitors, and stakeholders. Work is typically directed by a direct supervisor, project or team lead through a review of results. Decisions on routine, medium risk issues that may affect the project team, suppliers or internal customers may be made by this position. Challenges include meeting expectations in delivering results, learning to refine solutions to better fit complex situations, making timely decisions, and communicating effectively with all project stakeholders. This position demonstrates thorough knowledge of statistical approaches, data management techniques, and/or related digital technologies, and the ability to handle complex issues. The incumbent demonstrates very good communication and presentation skills, being able to explain conclusions to customers who have limited knowledge and experience with quantitative analytical methods. As an individual contributor on teams, they should also exhibit strong initiative and teamwork skills, and a comprehensive knowledge of Caterpillar Inc., its products and services; its internal systems, processes, and procedures; and the external environment in which it competes. The responsibilities of the data scientist would involve design, develop, and deploying of predictive models and machine learning algorithms to support business decision-making. Lead data gathering, preprocessing, and transformation efforts from structured and unstructured sources. Collaborate with cross-functional teams to define analytical requirements and deliver insights through dashboards and reports. Develop and maintain scalable data pipelines using tools such as SQL, Snowflake, and Python. Apply Natural Language Processing (NLP), time-series analysis, and anomaly detection techniques to real-world datasets. Contribute to the development of internal Python packages and reusable analytics components What you will have Bachelor s degree, preferably in engineering, finance, statistics, economics, mathematics, or a similar field with quantitative coursework, and 4-5 years of professional experience utilizing quantitative analysis OR Master s degree and 2-3 years of experience OR PhD in one of the associated fields. Top Candidate Will Also Have: 2-4 years experience in manipulating data sets and building statistical models Ability to work on increasingly more complex assignments Strong problem-solving skills with an emphasis on product development. Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. Knowledge of principles, technologies and algorithms of machine learning (Supervised/unsupervised, clustering, decision tree learning, artificial neural networks, etc.); ability to develop, implement and deliver related systems, products and services. Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets Experience working with and creating data architectures Excellent written and verbal communication skills for coordinating across teams A drive to learn and master new technologies and techniques Experience using web services: AWS services, Snowflake, Spark Must be comfortable working in MS Office, and industry standard statistics and data visualization Packages - Power BI/Tableau Additional Information: This position requires the selected candidate to work Full -Time in the Whitefield Bangalore, Karnataka office. This position requires candidate to work a 5-day -a -week schedule in the office Domestic Relocation is available Less than 10% travel is expected Skills desired: Business Statistics: Knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. Level Working Knowledge: Explains the basic decision process associated with specific statistics. Works with basic statistical functions on a spreadsheet or a calculator. Explains reasons for common statistical errors, misinterpretations, and misrepresentations. Describes characteristics of sample size, normal distributions, and standard deviation. Generates and interprets basic statistical data. Accuracy and Attention to Detail : Understanding the necessity and value of accuracy; ability to complete tasks with high levels of precision. Level Extensive Experience: Evaluates and makes contributions to best practices. Processes large quantities of detailed information with high levels of accuracy. Productively balances speed and accuracy. Employs techniques for motivating personnel to meet or exceed accuracy goals. Implements a variety of cross-checking approaches and mechanisms. Demonstrates expertise in quality assurance tools, techniques, and standards. Analytical Thinking : Knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. Level Working Knowledge: Approaches a situation or problem by defining the problem or issue and determining its significance. Makes a systematic comparison of two or more alternative solutions. Uses flow charts, Pareto charts, fish diagrams, etc. to disclose meaningful data patterns. Identifies the major forces, events and people impacting and impacted by the situation at hand. Uses logic and intuition to make inferences about the meaning of the data and arrive at conclusions. Machine Learning: Knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. Level Working Knowledge: Completes specific tasks and initiatives utilizing machine learning technologies, such as search engine optimization. Utilizes specific tools and techniques to process descriptive and inferential statistics. Applies specific computing languages and tools in machine learning, such as R and Python. Explores to use machine learning in one own areas to make business improvements. Conducts data mining and cleaning initiatives. Programming Languages: Knowledge of basic concepts and capabilities of programming; ability to use tools, techniques and platforms in order to write and modify programming languages. Level Working Knowledge: Participates in the implementation and support of specialized programming languages. Conducts basic reviews on writing a specific programming language within a specific platform. Assists with the design and development of specialized programming languages. Follows an organization's standards, policies and guidelines for structured programming specifications. Diagnoses and reports minor or routine programming language problems. Query and Database Access Tools : Knowledge of data management systems; ability to use, support and access facilities for searching, extracting and formatting data for further use. Level Working Knowledge: Defines, creates and tests simple queries by using associated command language in a specific environment. Applies appropriate query tools used to connect to the data warehouse. Obtains and analyzes query access path information and query results. Employs tested query statements to retrieve, insert, update and delete information. Works with advanced features and functions including sorting, filtering and making simple calculations. Requirements Analysis: Knowledge of tools, methods, and techniques of requirement analysis; ability to elicit, analyze and record required business functionality and non-functionality requirements to ensure the success of a system or software development project. Level Working Knowledge: Follows policies, practices and standards for determining functional and informational requirements. Confirms deliverables associated with requirements analysis. Communicates with customers and users to elicit and gather client requirements. Participates in the preparation of detailed documentation and requirements. Utilizes specific organizational methods, tools and techniques for requirements analysis.\

Let’s do this. Let’s change the world. In this vital role you will collaborate with business partners, service owners and IS peers to develop predictive models and insights across the US Commercial Organization. This position will innovate and build significant business impact through the use of sophisticated analytics techniques to help Amgen with its mission to serve patients by helping them get the therapies they need. Flexible Commuter role to Amgen India office. You will work on-site 2-3 days a week. This position will be primarily responsible for: Working collaboratively with cross-functional teams on projects and/or programs with aims to systematically derive insights that ultimately derive substantial business value for Amgen and our patients Identifying business needs and proposing potential analytics approaches for solutions Crafting and deploying a framework to supervise the performance of various campaigns, and tactics at a granular level Leading measurement and tracking of various omnichannel CX enablement initiatives Supporting the development of data science, machine learning prototypes, proof of concepts and models for testing various omnichannel strategies Communicating analysis ideas, progress and results to leadership and business partners What we expect of you We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek is a [type of person] with these qualifications. Basic Qualifications: Doctorate degree ORdata science and/or analytics experience Master’s degree and 4 to 6 years of data science and/or analytics experience OR Bachelor’s degree and 6 to 8 years of data science and/or analytics experience OR Diploma and 10 to 12 years of data science and/or analytics experience Preferred Qualifications: Relevant work experience in campaign measurement, marketing analytics and resource optimization in the pharma domain Programming experience with Python, R, or SAS and experience with ML libraries like scikit-learn, MLib, or TensorFlow Experience working with large datasets, experience working with distributed computing tools (Spark, Hive, etc.) is a plus Ability to communicate analysis in a clear, detailed, and practical manner Passion for learning and staying on top of current developments in sophisticated analytics Biotech / Pharma experience What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers.amgen.com