387 Statistical Modeling Jobs - Page 15

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Led the project from India working with onshore/ client stakeholders. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include working with the team of junior analysts, solution brainstorming and design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Education Bachelor of Engineering in Statistics Work Experience Overall, 4-7 years of rich experience in marketing analytics with 3+ years of good hands-on experience in Market Mix Modeling / Promotion Response Modeling / Test & Control Proficiency in Statistical and Probabilistic methods such as multivariate regression, hierarchical modelling, Mixed Effect modelling, SVM, Decision-Trees, Random Forest, etc. Hands-on experience in Python, and good PowerPoint skills. Priority to the candidates with Marketing Mix modeling in the Pharmaceutical / Life Sciences Domain. Knowledge of Pharma data sets (sales/ promotions/ customer master) in the US/ ex-US is deeply appreciated. Attitude and willingness to learn, accept the challenging environment and have confidence in delivering the results within timelines. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python SQL EXCEL Machine Learning Pharma Commercial Know How Patient Data Analytics Know How Others

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education Master Diploma - Business Administration Master of Business Administration in Computer or Business Administration Work Experience Overall, 3-5years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc using various data sources Experience using various patient-level data like APLD,LAAD, EMR, patient registries, Prescription data, formulary data, etc Strong in logical reasoning, structuring of analysis, asking the right questions, and logical approach to analyze data, problems, and situations. Experience in pharmaceutical sales and marketing analytics would be preferred Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL Pharma Commercial Know How Others Patient Data Analytics Pharma Forecasting

Education BE/B.Tech Position Summary This role will be responsible for developing commercial forecasts for pipeline and launching products as well as completing opportunity assessments for life cycle management. This role brings specific therapeutic area in-depth expertise, analytical instinct, strategic thinking, and project management skills to communicate the value assessment of new assets and flag appropriate risks and opportunities Job Responsibilities The delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Build realistic, transparent, and assumption-driven demand forecasts. Challenge assumptions and apply forecasting methodologies to support the brand strategy Prepare robust forecast assumptions leveraging expertise and analogs from the in-line Forecasting team and research from the Insights and Analytics team Ensure objectivity of brand/therapeutic area forecasts by establishing objectives aligned around forecast accuracy Developing brand volume forecasts, both short-term and long-term, to feed into strategic and operational planning processes Support launch preparations and guide the teams to set up clear post-launch performance tracking by creating and monitoring the short-term revenue forecasts, comparable to actuals in the future, and recommending adjustments when applicable Consistent delivery of analytics that drive informed decision-making, including the definition and development of models to be used in answering business and operational questions Adopting and executing new and innovative analytics offerings for untapped opportunities; Enabling automation of routine measurements Supports client strategy to ensure business and compliance needs are met Coordinate and manage subordinates, facilitate interdepartmental communication, and allocate tasks and resources as needed Guide and advise the modeling and capabilities team as a Subject Matter Expertise on various technologies, solutions, and capabilities to help set up industry-leading practice Work Experience 7-12 years of experience in Experience working with Life Sciences companies in pharmaceutical forecasting (in branded business)/ data analytics; experience supporting both pipeline and marketed product(s) preferred; experience in Specialty or Rare Disease, preferred Expertise with a variety of modeling techniques including statistical, patient-flow, simulations, agent-based and other systems dynamics-based techniques Manage & develop patient/epidemiology-based forecasting models for pharma clients Project Manager who can lead enablement of global life sciences companies to manage forecasting and/or data & analytics function through Axtria solutions and innovative methodologies EPI based Forecasting for Inline, Pipeline, and BD&L Products/ Brands. Trend-Based Forecasting Experience Experience supporting multiple markets globally, Region, and countries. A deeper understanding of disease and Therapy Areas and their application to forecast Expertise in handling datasets - IQVIA, Evaluate, IPD, Kantar, DRG etc. Proven experience working with pharmaceutical datasets (Rx, APLD, etc) Effective forecast storyboarding, capturing key insights backed by relevant data and Quantitative Analytics, Business Analysis and Analog Analysis Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Technical Competencies Problem Solving Lifescience Knowledge Communication Project Management Attention to P&L Impact Business development Capability Building / Thought Leadership Scale of revenues managed / delivered Scale of Resources Managed

Job Responsibilities- Create and validate analytical datasets using on real-world data sources (e.g., claims data, electronic health records) based on study protocols and inclusion/exclusion criteria. Conduct descriptive and inferential statistical analyses (e.g., hypothesis testing, regression modelling, survival analysis) Develop and validate statistical algorithms for advanced data analyses (e.g., propensity score matching, machine learning) Contribute to the development of study protocols, statistical analysis plans, abstracts/posters, manuscripts, and study reports. Collaborate with cross-functional teams (e.g., epidemiologists, clinicians, biostatisticians) to design and execute RWE studies.

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education Bachelor of Engineering Bachelor of Technology Work Experience Overall, 3-5years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc using various data sources Experience using various patient-level data like APLD,LAAD, EMR, patient registries, Prescription data, formulary data, etc Strong in logical reasoning, structuring of analysis, asking the right questions, and logical approach to analyze data, problems, and situations. Experience in pharmaceutical sales and marketing analytics would be preferred Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python SQL EXCEL Pharma Commercial Know How Others Patient Data Analytics

Who you areA senior Data Scientist specializing in Advanced Analytics, with expertise in machine learning (ML), predictive modeling, and statistical analysis. Sound experience in leveraging Big-data technologies, AI, and automation to solve complex business problems and enhance decision-making. Have experience working with Cloudera Data Platform, Apache Spark, Kafka, and Iceberg tables, and you understand how to design and deploy scalable AI/ML models. Your role will be instrumental in data modernization efforts, applying AI-driven insights to enhance efficiency, optimize operations, and mitigate risks.What you’ll doAs a Data Scientist – Advanced Analytics, your responsibilities include: AI & Machine Learning Model Development Developing AI/ML models for predictive analytics, fraud detection, and customer segmentation. Implementing time-series forecasting, anomaly detection, and optimization models. Working with deep learning (DL) and Natural Language Processing (NLP) for AI-driven automation. Big Data & Scalable AI Pipelines Processing and analyzing large datasets using Apache Spark, PySpark, and Iceberg tables. Deploying real-time models and streaming analytics with Kafka. Supporting AI model training and deployment on Cloudera Machine Learning (CML). Advanced Analytics & Business Impact Performing exploratory data analysis (EDA) and statistical modelling. Delivering AI-driven insights to improve business decision-making. Supporting data quality and governance initiatives using Talend DQ. Data Governance & Security Ensuring AI models comply with Bank’s data governance and security policies. Implementing AI-driven anomaly detection and metadata management. Utilizing Thales CipherTrust for data encryption and compliance. Collaboration & Thought Leadership Working closely with data engineers, analysts, and business teams to integrate AI-driven solutions. Presenting AI insights and recommendations to stakeholders and leadership teams. Contributing to the development of best practices for AI and analytics. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 3-7 years of experience in AI, ML, and Advanced Analytics. Proficiency in Python, R, SQL, and ML frameworks (Scikit-learn, TensorFlow, PyTorch). Hands-on experience with Big-data technologies (Cloudera, Apache Spark, Kafka, Iceberg table format). Strong knowledge of statistical modelling, optimization, and feature engineering. Understanding of MLOps practices and AI model deployment. Preferred technical and professional experience Develop and implement advanced analytics models, including predictive, prescriptive, and diagnostic analytics to solve business challenges and optimize decision-making processes. Utilize tools and technologies to work with Large and complex datasets to derive analytical solutions. Build and deploy machine learning models (supervised and unsupervised), statistical models, and data-driven algorithms for forecasting, segmentation, classification, and anomaly detection. Should have strong hands-on experience in Python, Spark and cloud computing. Should be independently working and be able to deploy deep learning models using various architectures. Should be able to perform exploratory data analysis (EDA) to uncover trends, relationships, and outliers in large, complex datasets. Design and create features that improve model accuracy and business relevance. Should create insightful visualizations and dashboards that communicate findings to stakeholders. Effectively translate complex data insights into clear and actionable recommendations. Work closely with business leaders, engineers, and analysts to understand business requirements and translate them into analytical solutions that address strategic goals. Exposure to Graph AI using DGraph Enterprise. Knowledge of cloud-based AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI).

Who you areA senior Data Scientist specializing in Advanced Analytics, with expertise in machine learning (ML), predictive modeling, and statistical analysis. Sound experience in leveraging Big-data technologies, AI, and automation to solve complex business problems and enhance decision-making. Have experience working with Cloudera Data Platform, Apache Spark, Kafka, and Iceberg tables, and you understand how to design and deploy scalable AI/ML models. Your role will be instrumental in data modernization efforts, applying AI-driven insights to enhance efficiency, optimize operations, and mitigate risks.What you’ll doAs a Data Scientist – Advanced Analytics, your responsibilities include: AI & Machine Learning Model Development Developing AI/ML models for predictive analytics, fraud detection, and customer segmentation. Implementing time-series forecasting, anomaly detection, and optimization models. Working with deep learning (DL) and Natural Language Processing (NLP) for AI-driven automation. Big Data & Scalable AI Pipelines Processing and analyzing large datasets using Apache Spark, PySpark, and Iceberg tables. Deploying real-time models and streaming analytics with Kafka. Supporting AI model training and deployment on Cloudera Machine Learning (CML). Advanced Analytics & Business Impact Performing exploratory data analysis (EDA) and statistical modelling. Delivering AI-driven insights to improve business decision-making. Supporting data quality and governance initiatives using Talend DQ. Data Governance & Security Ensuring AI models comply with Bank’s data governance and security policies. Implementing AI-driven anomaly detection and metadata management. Utilizing Thales CipherTrust for data encryption and compliance. Collaboration & Thought Leadership Working closely with data engineers, analysts, and business teams to integrate AI-driven solutions. Presenting AI insights and recommendations to stakeholders and leadership teams. Contributing to the development of best practices for AI and analytics. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 6-10 years of experience in AI, ML, and Advanced Analytics. Strong programming skills in Python, R, and SQL. Expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with big data platforms (Cloudera, Apache Spark, Kafka, Iceberg). Strong background in statistical modelling, optimization, and time-series forecasting. Experience with MLOps and model deployment on cloud platforms. Preferred technical and professional experience Should have over 10 Yrs of experience in developing and maintaining the advanced analytics as a data scientist. Develop and implement advanced analytics models, including predictive, prescriptive, and diagnostic analytics to solve business challenges and optimize decision-making processes. Utilize tools and technologies to work with Large and complex datasets to derive analytical solutions. Build and deploy machine learning models (supervised and unsupervised), statistical models, and data-driven algorithms for forecasting, segmentation, classification, and anomaly detection. Should have strong hands-on experience in Python, Spark and cloud computing. Should be independently working and be able to deploy deep learning models using various architectures. Should be able to perform exploratory data analysis (EDA) to uncover trends, relationships, and outliers in large, complex datasets. Design and create features that improve model accuracy and business relevance. Should create insightful visualizations and dashboards that communicate findings to stakeholders. Effectively translate complex data insights into clear and actionable recommendations. To design, review and recommend the ML algorithms and provide a suitable solution for the business need. Work closely with business leaders, engineers, and analysts to understand business requirements and translate them into analytical solutions that address strategic goals. Experience in working with Banking Data model by implementing any analytical solution. Exposure to Graph AI using DGraph.

We are seeking a highly skilled and independent Senior Machine Learning Engineer Contractor to design, develop, and deploy advanced ML pipelines in an AWS environment. Key Responsibilities: Design, develop, and deploy robust and scalable machine learning models. Build and maintain ML pipelines for data preprocessing, model training, evaluation, and deployment. Collaborate with data scientists, data engineers, and product teams to identify ML use cases and develop prototypes. Optimize models for performance, accuracy, and scalability in real-time or batch systems. Monitor and troubleshoot deployed models to ensure ongoing performance. Location - Kochi, Trivandrum,Remote.

Skill required: Delivery - Credit Risk Modeling Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? Data & AICredit risk modelling refers to the use of financial models to estimate losses a firm might suffer in the event of a borrower s default. What are we looking for? Primary Skills: Banking, Financial Services Credit Risk Model Development Market Risk Modelling Financial Regulations Quantitative AnalysisSecondary Skills: SQL SAS Python R Tableau VBA Qlik Sense Snowflake MatillionSoft Skills: Adaptable and flexible Commitment to quality Ability to work well in a team Agility for quick learning Written and verbal communication Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day-to-day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Qualification Any Graduation

Skill required: Delivery - Credit Risk Modeling Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years What would you do? Data & AICredit risk modelling refers to the use of financial models to estimate losses a firm might suffer in the event of a borrower s default. What are we looking for? Primary Skills: Banking, Financial Services Credit Risk Model Development Market Risk Modelling Financial Regulations Quantitative AnalysisSecondary Skills: SQL SAS Python R Tableau VBA Qlik Sense Snowflake MatillionSoft Skills: Adaptable and flexible Commitment to quality Ability to work well in a team Result Oriented Problem Solving Skills Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

GITAM is on a mission to create a progressive, world-class institution of higher education in India, aspiring to be a Global 100 university by 2040. We envision educating the youth of India with exceptional promise for a lifetime of leadership and contribution to society. At GITAM, we wish to offer holistic education consisting of both the knowledge and skills required to solve the 21st Century problems. The aim is to offer the Ivy League level of training in India. We are looking for highly driven individuals who share our values and are ready to be partners in this journey with a commitment to excel and contribute in their respective fields. Responsibilities Develop and teach undergraduate and graduate courses in statistics, ensuring a high standard of academic rigor. Implement effective and innovative teaching methods to engage students and promote critical thinking. Provide mentorship and academic advising to students pursuing degrees in statistics. Conduct and publish high-quality research in statistics or related fields. Pursue external funding opportunities to support research projects. Collaborate with colleagues, both within the department and across disciplines, to foster a culture of interdisciplinary research. Participate in departmental committees and contribute to the administration and development of the statistics program. Contribute to the university community through participation in committees, outreach programs, and academic events. Engage in professional service, including involvement in relevant professional organizations and conferences. Foster collaborative initiatives with other faculty members, departments, and external partners. Contribute to the development and enhancement of interdisciplinary programs within the university. Stay current with advancements in the field of statistics. Attend conferences, workshops, and training sessions to enhance teaching and research capabilities. Pursue opportunities for continued professional development and growth. Essentials A good academic record, with a Ph.D. degree in Statistics and First class or equivalent at Bachelors and Master’s level in the relevant branch. Experience of teaching and / or research in an academic/research position equivalent to that of Assistant Professor in a University, College or Accredited Research Institution/industry with publications in the peer-reviewed or UGC-listed journals About Us Gandhi Institute of Technology and Management, popularly known as GITAM was founded in 1980 by an inspired group of eminent intellectuals and industrialists of Andhra Pradesh led by Dr. M.V.V.S. Murthi, former Member of Parliament and popular philanthropist. The vision of MAHATMA, the Father of the Nation was to see India as a socially and economically resurgent country and he looked upon education as an important means to achieve this goal. Gandhi’s view of education was not narrow or sectarian. He envisages universities as institutions of higher learning that transcend all linguistic, racial, and other barriers. GITAM is committed to imbibe his values and abide by his philosophy. Learn more here: https://www.gitam.edu/

Role & responsibilities Analyze large volume and data, identify and implement features. Study and transform data science prototypes and implement models. Models will include prediction, geospatial forecasting and object detection algorithms. Train, retrain, and monitor machine learning systems and models as needed Continually improve models. Preferred candidate profile : Experience in one area of computer science , statistics or quantitative fields (e.g., Natural Language Understanding, Human Computer Interactions, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization, Quantum Information Science, Data Science, Software Engineering, or similar areas). Experience with wide range supervised and unsupervised learning models (e.g., NN, XgBoost, Graph Network models) Experience with unstructured data is preferred. Experience with vision and object detection models preferred.

Roles and Responsibilities Develop credit risk or fraud risk models using Python, SQL, and statistical modeling techniques to predict defaults, losses, and other credit-related metrics. Collaborate with cross-functional teams to design and implement effective credit risk strategies that meet business objectives. Conduct stress testing and scenario analysis to identify potential risks and opportunities for growth. Provide data insights and recommendations to stakeholders on loss forecasting, scorecards, and portfolio performance. Desired Candidate Profile 5+ years of experience in Credit Risk Modelling/ Fraud Modeling or related field. Strong expertise in PD, LGD Model Development ,Basel II/III regulations, CECL/CCAR requirements under IFRS9 framework. Proficiency in programming languages such as Python/R/SAS/SQL; strong understanding of machine learning algorithms an added advantage.

Oliver Wyman is looking for Manager - Data Science to join our dynamic team and embark on a rewarding career journey. Delegating responsibilities and supervising business operations Hiring, training, motivating and coaching employees as they provide attentive, efficient service to customers, assessing employee performance and providing helpful feedback and training opportunities. Resolving conflicts or complaints from customers and employees. Monitoring store activity and ensuring it is properly provisioned and staffed. Analyzing information and processes and developing more effective or efficient processes and strategies. Establishing and achieving business and profit objectives. Maintaining a clean, tidy business, ensuring that signage and displays are attractive. Generating reports and presenting information to upper-level managers or other parties. Ensuring staff members follow company policies and procedures. Other duties to ensure the overall health and success of the business.

About The Role : In Scope of Position based Promotions (INTERNAL only) Job TitleProduct Tagging Validation Specialist Corporate TitleAVP LocationMumbai, India Role Description This role in Product Tagging Validation team is responsible for validating the product name assigned to trades across all asset classes globally. The product name is used to determine model appropriateness and classify trades for various reporting processes (such as Regulatory Reporting, trader mandates, etc.). As part of Valuations Control (IPV) team this role ensures DB approved valuation models are used for pricing/risk generation for a particular product. This role interacts regularly with the Front Office (Strats and Trading), Global Model Validation Group, Pricing Analytics, Group Audit and Global Technology. In addition to tag validation, the team is also responsible for calculating FV Reserves due to Model limitation/deficiency and provide transparency on IFRS lvelling. This team also assists the Front Office with the remediation of tagging exceptions. The ultimate goal is to establish an efficient, accurate, up-front control over the tagging of trades such that error detection and subsequent remediation are not required. Therefore, there is a substantial amount of project work in addition to a business as usual process. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities As a product specialist you will be responsible for: Analysing products and trade booking to determine the logic required to automatically determine the product type and features. Ensure dbapproved product-model combinations used, identify exceptions and work with stakeholders towards remediation. Engage with IPV business aligned teams to provide them visibility on exceptions and calculate model limitation/deficiency reserves and/or appropriate IFRS levellings. Enhancing the BAU process by improving validation efficiency and accuracy and ultimately converting it from a monthly into a daily process. Working with developers to implement validation logic to ensure it is consistently applied and sufficiently documented. Working with Trading and Strats to remediate product tagging and definition issues to improve the Model Risk Control environment. Managing operational risk by ensuring processes are documented and staff are cross-trained. Developing your technical expertise to ensure you have the knowledge to face-off against technical experts in divisions outside of Business Finance. Producing presentations and communicating progress to Auditors and Regulators. Your skills and experience Previous experience working with banking products and understanding how theyre booked Experience in dealing with Front Office business leaders Pricing and modeling of derivative products Knowledge of front-to-back architecture of Investment Banks Programming experience in SQL, C++, Python an advantage Education/ Qualifications/Character Degree 2.1 or above (or equivalent) ACA, CIMA, CFA, Relevant Masters Degree Strong derivatives product knowledge Control focused, deadline orientated, team player with high attention to detail People Management The behaviours provided below should be adopted by all Deutsche Bank employees in relation to their development and management of others. Supports the development of an environment where people management and development is the number one priority. Coaches direct reports and others in the organisation, as appropriate Actively supports the business strategy, plans and values, contributing to the achievement of a high performance culture Takes ownership for own career management, seeking opportunities for continuous development of personal capability and improved performance contribution Acts as a role model for new employees, providing help and support to facilitate early integration and assimilation of their new environment Supports tough people decisions to ensure people performance is aligned with organisation imperatives and needs. Addresses individual performance issues, where necessary, to drive for high performance How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

About The Role : Job Title: AI Lead , VP LocationPune, India Role Description Engineer is responsible for managing or performing work across multiple areas of the bank's overall IT Platform/Infrastructure including analysis, development, and administration. It may also involve taking functional oversight of engineering delivery for specific departments. Work includes: Planning and developing entire engineering solutions to accomplish business goals Building reliability and resiliency into solutions with appropriate testing and reviewing throughout the delivery lifecycle Ensuring maintainability and reusability of engineering solutions Ensuring solutions are well architected and can be integrated successfully into the end-to-end business process flow Reviewing engineering plans and quality to drive re-use and improve engineering capability Participating in industry forums to drive adoption of innovative technologies, tools and solutions in the Bank. Deutsche Banks Corporate Bank division is a leading provider of cash management, trade finance and securities finance. We complete green-field projects that deliver the best Corporate Bank - Securities Services products in the world. Our team is diverse, international, and driven by shared focus on clean code and valued delivery. At every level, agile minds are rewarded with competitive pay, support, and opportunities to excel. You will work as part of a cross-functional agile delivery team. You will bring an innovative approach to software development, focusing on using the latest technologies and practices, as part of a relentless focus on business value. You will be someone who sees engineering as team activity, with a predisposition to open code, open discussion and creating a supportive, collaborative environment. You will be ready to contribute to all stages of software delivery, from initial analysis right through to production support. What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Proven ability to design, build, and deploy end-to-end AI/ML systems in production. Expertise in data science , including statistical analysis, experimentation, and data storytelling. Experienced in working with large-scale, real-world datasets for model training and analysis. Comfortable navigating urgency, ambiguity, and fast-changing priorities . Skilled at solving complex ML problems independently , from idea to implementation. Strong leadership experience building and guiding high-performing AI teams . Hands-on with deep learning, NLP, LLMs , and classical ML techniques. Fluent in model experimentation, tuning, optimisation , and evaluation at scale. Solid software engineering background and comfort working with data and full-stack teams . Experience with cloud platforms (GCP, AWS, Azure) and production-grade ML pipelines. Bias for action willing to jump into code, data, or ops to ship impactful AI products . Your skills and experience PhD in Computer Science, Data Science, Machine Learning, AI, or a related field. Strong programming skills in Python (preferred), with experience in Java, Scala, or Go a plus. Deep expertise with ML frameworks like TensorFlow, PyTorch, Scikit-learn. Experience with large-scale datasets , distributed data processing (e.g. Spark, Beam, Airflow). Solid foundation in data science statistical modeling, A/B testing, time series, and experimentation. Proficient in NLP, deep learning , and working with transformer-based LLMs . Experience with MLOps practices CI/CD, model serving, monitoring, and lifecycle management. Hands-on with cloud platforms (GCP, AWS, Azure) and tools like Vertex AI, SageMaker, or Databricks. Strong grasp of API design , system integration, and delivering AI features in full-stack products. Comfortable working with SQL/NoSQL , and data warehouses like BigQuery or Snowflake. Familiar with ethical AI, model explainability , and secure, privacy-aware AI development How we'll support you Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs

Req ID: 318185 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Mid Data Science & AIML, GenAI Lead/Engineer to join our team in Mumbai, Maharashtra (IN-MH), India (IN). "Job DutiesJob TitleData Science & AIML, GenAI Lead/Engineer Key Responsibilities: Develop and implement traditional machine learning algorithms. Deploy at least one model in a production environment. Write and maintain Python code for data science and machine learning projects. Minimum Skills RequiredPreferred Qualifications: Knowledge of Deep Learning (DL) techniques. Experience working with Generative AI (GenAI) and Large Language Models (LLM). Exposure to Langchain. LocationNCR and Mumbai" #GenAINTT About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies.Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us atus.nttdata.com NTT DATA endeavors to make https://us.nttdata.comaccessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here. Job Segment Consulting, Database, Technology

Submit your application here : https://saarthee.keka.com/careers/jobdetails/8544 At Saarthee, we are on a mission to drive actionable insights and real-world impact through data. As a fast-growing, women-owned analytics consulting firm, we work with some of the most respected global clients, helping them solve high-impact problems through a combination of cutting-edge analytics, industry experience, and a culture of ownership and excellence. We are looking for Analytics Leads who can combine deep analytical thinking with strong project and people management skills. This is a client-facing role where youll lead complex, cross-functional data projects, work closely with global stakeholders, and act as the bridge between business strategy and data execution. The ideal candidate is hands-on, analytical, solutions-oriented, and equally comfortable managing technical teams, engaging with clients, and driving results. You will be working closely with the Founders and leadership across Saarthee's Onsite and Offshore teams, ensuring high-quality delivery and client success. Key Responsibilities Independently lead client engagements and manage global analytics delivery teams across time zones. Build and maintain strong client relationships, acting as a strategic advisor to institutionalize data-driven decision-making. Identify opportunities to create business impact through data and drive end-to-end project execution. Use project management tools to lead stakeholder discussions, track deliverables, manage risks, and ensure timely outcomes. Deliver high-quality analytics solutions including data modeling, insights generation, and actionable recommendations aligned to client KPIs. Design and implement robust analytics and reporting platforms, including tool selection (ETL, database, visualization). Consult on advanced statistical models and machine learning strategies where applicable. Guide, mentor, and grow a team of consultants; lead knowledge sharing and capability-building initiatives. Collaborate closely with internal teams for smooth project ramp-ups, analyst deployment, and quality assurance. Required Skills & Qualifications 3+ years of hands-on experience in data analytics, project management, or client engagement roles. Strong analytical background with proficiency in SQL, Tableau, Python, or similar tools. (Experience with Knime is a plus). Proven experience leading pilot projects, managing multiple workstreams, and solving open-ended business problems. Excellent communication, stakeholder management, and critical thinking skills. Ability to operate in fast-paced, ambiguous environments and deliver high-quality outcomes independently and as a team leader. What We Offer Competitive compensation packages that reward performance and ownership. Accelerated career growth in a startup environment backed by structured mentorship and leadership exposure. A collaborative and high-performance culture built on trust, empathy, and results. Exposure to global clients and strategic business challenges across industries. Comprehensive health insurance and wellness benefits. An inclusive, people-first workplace that values continuous learning, innovation, and transparency. About Saarthee: Saarthee is global analytics consulting firm unlike any other, where our passion for helping others fuels our approach and our products and solutions. We are a one-stop shop for all things data and analytics. Unlike other analytics consulting firms that are technology or platform specific, Saarthees holistic and tool agnostic approach along with ability delivery strategic actionable insights is unique in the marketplace. Our Analytics Value Chain framework meets our customers where they are in their data journey. Our diverse and global team of skilled data engineers, data analysts, and data scientists work with one objective in mind: Our Customers Success. At Saarthee, we are passionate about guiding organizations towards insights-fueled success. Thats why we call ourselves Saartheeinspired by the Sanskrit word Saarthi, which means charioteer, trusted guide, or companion. Co-founded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India. At Saarthee, we dont just solve data problems we shape careers, unlock business value, and build future-ready leaders. If you are ready to lead from the front and make an impact, wed love to hear from you.

Due to a healthy pipeline of projects and opportunities, we are seeking an experienced transport modeller and data analyst with a passion for sustainable transport to join the team. Experience in transport modelling both model development and application, use of big data and an interest in decarbonisation, transport appraisal and the automation of modelling is important . We are seeking an experienced transport professional, specialising in strategic transport modelling (Saturn & VISUM), with a background supporting modelling for Local Plans, transport strategies and business cases. Skills in data science including using Python, SQL, GIS and working with big data would be desireable.

Who we are looking for: Monk is leading the way in AI-driven innovation with its advanced damage detection technology for vehicles, enabling seamless integration into web and native applications via APIs. Our machine learning expertise is trusted by global leaders like our parent company ACV Auctions (USA), CAT Logistics (Europ Getaround (France), Autobiz (Europe), and Hgreg (Canad We are looking for a Machine Learning Scientist in Computer Vision who thrives on taking ownership, delivering impactful results, and driving innovation. If you're someone who can align with business needs, ensure timely delivery, and elevate the team's capabilities, we’d love to have you on board. This role is your opportunity to lead game-changing projects, create tangible value, and shape the future of AI technology in the automotive space. What you will do: Own the end-to-end development of machine learning models and datasets to solve critical business challenges and meet product needs. Drive innovation by continuously tracking and integrating state-of-the-art advancements of computer vision and deep learning into Monk’s AI solutions Identify and solve key business problems with data-driven, actionable insights. Deliver high-impact results through meticulous planning, rigorous testing, and smooth deployment of machine learning solutions. Mentor and support junior team members, cultivating a culture of excellence and collaboration. Machine Learning Scientist CV Collaborate with product, business, and technical teams to align on priorities, estimate efforts, and adapt to feedback. Ensure long-term reliability and scalability through robust documentation and testing practices. Tech Stack Utilized: Languages: Python, SQL Libraries/Frameworks: PyTorch ecosystem, a touch of OpenCV and Scikit-learn Tools: Jupyter, DBT, Docker Infrastructure: GCP, Kubernetes, BigQuery Version Control: GitHub Background and Skills: Required Skills 5+ years of experience in computer vision, data science or related fields, wit a proven track record of delivering impactful results. Strong foundation in machine learning, computer science, statistical modeling, and data processing pipelines. Proficiency in Python and SQL for data manipulation and model development. Solid experience deploying machine learning models into production environments. A proactive approach to aligning with business needs and driving team-wide innovation. Strong communication skills to explain technical concepts to non-technical stakeholders. Fluent in English, enabling effective collaboration across global teams. Desired Background Master’s or Ph.D. in Data Science, Computer Science, or a related field Experience in B2B SaaS, automotive technology, or AI-driven startups. Knowledge of working with distributed teams across time zones. A proactive mindset, with the ability to work autonomously in fast-paced environments. #LI-RG1

JOB OVERVIEW The ideal candidate will be responsible for analyzing and interpreting large data sets related to finance , sales and supply chain operations to optimize business processes, identify opportunities for improvement, and provide strategic insights to support decision-making. The Data Scientist will work closely with cross-functional teams to identify key business questions, design and implement statistical models, and develop innovative data-driven solutions. Key Responsibilities: Analyze and interpret large data sets to identify trends, patterns, and opportunities for improvement Develop statistical models and machine learning algorithms to optimize processes, reduce costs, and improve efficiency Collaborate with cross-functional teams to identify business needs, design experiments, and develop solutions that leverage data analytics and machine learning techniques Create and maintain data pipelines and databases to support ongoing data analysis and modeling activities Communicate findings and insights to key stakeholders in a clear and concise manner Continuously monitor and evaluate model performance to ensure accuracy, efficiency, and effectiveness Requirements: Bachelors or masters degree in data science, Statistics, Mathematics, Computer Science, or a related field 3+ years of experience working in a data science role, preferably in a finance or supply chain environment Strong proficiency in programming languages such as Python or R Proficiency in Azure, Snowflake and Airflow Expertise in statistical modeling, machine learning, and data visualization techniques Experience with database technologies such as SQL and NoSQL Excellent communication skills and ability to work collaboratively in a cross-functional team environment Technical Skills: Proficiency in programming languages: The ideal candidate should have strong programming skills in languages such as Python or R, as these are commonly used for data manipulation, analysis, and modeling. They should be able to write clean, efficient, and scalable code to extract, transform, and load data from various sources, and perform complex data analysis tasks using libraries such as NumPy, Pandas, and SciPy. Statistical modeling and machine learning: The candidate should have expertise in statistical modeling and machine learning techniques, including regression analysis, time series forecasting, clustering, classification, and deep learning. They should be able to apply these techniques to real-world problems. Data visualization: The candidate should be able to create meaningful and insightful visualizations of complex data sets using tools such as Matplotlib, Seaborn, or Tableau. They should be able to communicate complex analytical results and insights to non-technical stakeholders in an easily understandable and visually appealing manner. Database technologies: The candidate should have experience working with database technologies such as SQL and NoSQL to extract and transform data from relational and non-relational databases. They should be familiar with concepts such as normalization, indexing, and query optimization, and be able to design and optimize data schemas for efficient data processing and analysis.

Zycus is looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning, Pattern Recognition, Natural Language Processing, Computational Linguistics, Statistical Modelling, Inferencing, Information Retrieval, Large Scale Distributed Systems, Cloud Computing, Econometrics, Quantitative Marketing, Applied Game Theory, Mechanism Design, Operations Research, Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply. We are looking for someone who can create and implement AI solutions. If you have built a product like IBM WATSON in the past and not just used WATSON to build applications, this could be the perfect role for you. All successful candidates are expected to dive deep into problem areas of Zycus interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage the organization. Role & responsibilities Act as a technical thought leader in collaboration with the analytics leadership team, helping to set the strategy and standards for Machine Learning and advanced analytics Work with senior leaders from all functions to explore opportunities for using advance analytics Provide technical leadership, coaching, and mentoring to talented data scientists and analytics professionals Guide data scientists in the use of advanced statistical, machine learning, and artificial intelligence methodologies Guide the work of other Machine learning team members to provide support and assistance, while also ensuring quality Preferred candidate profile Experience in predictive modelling and predictive software development Skilled at Java, C++, Perl/Python (or similar scripting languages) Experience in using R, Matlab, or any other statistical software Experience in mentoring junior team members, and guiding them on machine learning and data modelling applications Strong communication and data presentation skills Classification (svm, decision tree, random forest, neural network) Regression (linear, polynomial, logistic, etc) Classical Optimization(gradient descent, newton raphson, etc) Graph theory (network analytics) Heuristic Optimization (genetic algorithm, swarm theory) Deep learning (lstm, convolutional nn, recurrent nn) Perks and benefits Five Reasons Why You Should Join Zycus Cloud Product Company : We are a Cloud SaaS Company and our products are created by using the latest technologies like ML and AI. Our UI is in Angular JS and we are developing our mobile apps using React. A Market Leader : Zycus is recognized by Gartner (world's leading market research analyst) as a Leader in Procurement Software Suites. Move between Roles: We believe that change leads to growth and therefore we allow our employees to shift careers and move to different roles and functions within the organization Get a Global Exposure: You get to work and deal with our global customers. Create an Impact: Zycus gives you the environment to create an impact on the product and transform your ideas into reality. Even our junior engineers get the opportunity to work on different product features.

Dear Candidate, We are hiring for senior Data Scientist at Goregaon Below are the details for the same Organocation- Leading NBFC Location - Goregaon Work Mode- Work From office Roles & Responsibilities: Understanding the challenges faced by the business and translate that into a data problem Handle data in various formats easily, including both structured and unstructured data Ability to work with multiple data sources Model/ strategy development and validation Model deployment Requirements: Should be from Banking & NBFC Worked on Bureau data Develop Model like- Logistic regression, XGBoost, Random Forest, etc (Different techniques of model development) Coding- Python, XQL, Pyspark, Etc (Python is mandatory) Risk, Collections, Marketing related scorecard will work Scorecard- Application SC, Behavior SC, Fraud SC Min Exp- 5 plus Must

Job description: Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the worlds largest data producers engage with Sigmoid to solve complex business problems. Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500.Offices: New York | Dallas | San Francisco | Lima | Bengaluru This role is for our Bengaluru office Roles and Responsibilities: Convert broad vision and concepts into a structured data science roadmap, and guide a team to successfully execute on it. Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a combination of hands-on contribution, technical team management, and client interaction. Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights Contribute to internal product development initiatives related to data science. Drive excellent project management required to deliver complex projects, including effort/time estimation. Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects Manage the team-members, to ensure that the project plan is being adhered to over the course of the project Build a trusted advisor relationship with the IT management at clients and internal accounts leadership. Mandated Skills: A B-Tech/M-Tech/MBA from a top tier Institute preferably in a quantitative subject 5+ years of hands-on experience in applied Machine Learning, AI and analytics Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) Experience in Python libraries such as NumPy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc. Strong grasp of depth and breadth of machine learning, deep learning, data mining, and statistical concepts and experience in developing models and solutions in these areas Expertise with client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. Desired Skills: Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems. Comfortable with large scale data processing and distributed computing Providing required inputs to sales, and pre-sales activities A self-starter who can work well with minimal guidance Excellent written and verbal communication skills Perks and benefits Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo Vibrant inclusive culture of mutual respect and fun through both work and play

Data Scientist Req number: R5301 Employment type: Full time Worksite flexibility: Remote Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We are seeking Data Scientist with expertise in analytical modeling, ML methodologies, and data visualization to elevate our data-driven culture and deliver actionable insights that optimize business performance. The candidate must have proven success in coalescing, analyzing, synthesizing and contextualizing complex data sets (qualitative and quantitative) to deliver metrics, insights, advanced machine learning / AI analytics, with actionable recommendations that have a direct impact on business strategy and inform customer experience decisions. This is a Full-time and Remote position. Job Description What You’ll Do Understand current state architecture, including pain points. Translate Business/Customer Problems: Partner with the Customer Understanding Manager to translate business/customer challenges into data-driven hypotheses, insights, and recommendations that optimize marketing and sales performance. Insight Generation: Demonstrated experience proactively identifying and generating insights to enhance business and marketing performance, moving beyond descriptive analysis to inform strategic decisions. Storytelling with Data: Strong data analytics, visualization, and storytelling skills along with great attention to details. Modeling & Advanced Analytics: Develop and manage customer health programs, leveraging predictive analytics and machine learning models to assess customer engagement, churn risk, and growth potential. Quantify Impact of Marketing Initiatives: Perform deep-dive statistical analysis to quantify the impact of marketing initiatives on business KPIs, including revenue growth, retention rates, and customer lifetime value. Develop NPS Analysis: Support development of NPS (Net Promoter Score) analysis. Identify relevant data from internal and external sources to align NPS score to operational, financial, and experience metrics. Design and Maintain Automated Dashboards: Design and maintain automated dashboards and self-service analytics tools using Salesforce, Tableau, and Power BI to support real-time decision-making. Apply AI/ML methodologies: Utilize AL/ML techniques such as predictive modeling, clustering, key driver analysis, and NLP to uncover customer trends and improve engagement strategies. Promote Insight-Informed and Data-Driven Culture: Develop regular reports, executive briefs, and blogs to reveal market, industry, and customer trends, fostering an insight-informed and data-driven culture within the company. Develop Scorecards and Performance Dashboards: Lead the creation of scorecards and performance dashboards, ensuring marketing and sales teams have the insights needed to optimize decision-making. Drive Innovation in Data Strategy: Stay updated on evolving AI/ML methodologies, automation frameworks, and analytics best practices to drive innovation in data strategy. Experimental Design & Statistical Modeling (hierarchical linear models, regression analysis, hypothesis testing, significance testing). AI/ML Expertise (GenAI, NLP, tree-based models, deep learning, ModelOps/MLOps best practices, reinforcement learning). Data Engineering & Processing (structured/unstructured data manipulation, building ETL pipelines, Python libraries: pandas, scikit-learn, statsmodels, etc.). Data Storytelling & Visualization (Tableau, Power BI, Salesforce, Plotly, Adobe Analytics, etc.). Automated Analytics & Cloud Computing (AWS, GCP, Azure, Databricks, Snowflake, BigQuery). Strong time management and organizational skills with the ability to prioritize and execute projects independently. What You'll Need Bachelor’s degree in quantitative discipline: computer science, Statistics, Applied Mathematics, Economics, or a related field . 5-7 years of experience in advanced analytics, data science, or marketing intelligence , preferably in B2B or manufacturing industries. 4+ years Tableau experience. 4+ years of SQL development skills writing queries, transforming data, mining structured and unstructured data. Strong expertise in SQL, Python, and statistical modeling , with experience in building scalable data pipelines . Proficiency in data visualization and self-service analytics tools (Tableau, Power BI, Salesforce Analytics, etc.). Hands-on experience with AI/ML frameworks, NLP, and MLOps best practices Proven ability to synthesize complex data sets into strategic business insights that drive measurable outcomes . Strong communication skills, with the ability to translate complex technical findings into actionable business recommendations . Expert at hypothesis generation , creating data-driven business questions and experimental design techniques. Agile project management skills with the ability to manage multiple priorities and deliver high-impact results . Passion for continuous learning, research, and innovation in data analytics and AI. Physical Demands This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc. Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor. Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.