1151 Statistical Modeling Jobs - Page 26

: Job TitleModel Validation Lead- Derivative Pricing Corporate TitleVP LocationMumbai, India Role Description Model Risk Managements mission is to manage, independently and actively, model risk globally in line with the bank's risk appetite with responsibility for: Performing robust independent model validation; Ensuring early and proactive identification of Model Risks; Designing and recommending Model Risk Appetite; Effectively managing and mitigating Model Risks; Establishing Model Risk metrics; Designing and implementing a strong Model Risk Management and governance framework; Creating bank-wide Market Risk policies The Pricing Model Validation team as part of MoRM is responsible for the independent review and analysis of all derivative pricing models used for valuation and pricing across the bank. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities The role is to independently review and analyse derivative models for pricing and risk management across Rates, FX and Hybrids. The role as a Quantitative Analyst in Mumbai will work closely with the pricing validation team in London and Berlin to produce, analyse and document validation testing. Reviews and analysis require a good understanding of the mathematical models used, implementation methods, products traded in these markets, and the associated risks. The outcome of review and analysis and independent implementation will form the basis of discussion with key model stakeholders includingFront Office Trading; Front Office Quants; Market Risk Managers; and Finance Controllers. Your skills and experience Excellent mathematical ability with an understanding of Stochastic Calculus, Partial Differential Equations, Monte-Carlo Methods, Finite Difference Methods, and Numerical Algorithms. Strong interest in financial markets (especially derivative pricing) demonstrated by qualifications and/or experience. Experience coding in Python an advantage. Excellent communication skills both written and oral. Education/Qualifications Academic degree in a quantitative discipline (e.g. Mathematical Finance / Statistics, Maths, Physics, Engineering) with a focus on application. How well support you 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.

Primary Responsibilities: Global Commercial pipeline Analytics: Develop commercial insights solutions, business cases and market evaluation to support decision making for the pharma pipeline and business development, utilizing deep data driven analytics. Stakeholder Collaboration: Partner with global marketing teams, operations and clinical to inform strategic reviews and increase commercial rigor through all phases of pipeline asset development. Communication and Transparency: Provide global marketing teams, and governance committees, transparency, and commercial insights on pipeline portfolio on topics related to market dynamics, competitive insights, patient journeys, access considerations amongst others. Analytics and Benchmarking: Lead benchmarking analytics to collect, analyze, and translate insights into recommended business actions to inform pipeline development choices. Provide critical insights to leaders for communication on human health portfolio, early pipeline commercial forecasts and related business drivers. Analytics Delivery: Hands on analytics project delivery with expertise in data manipulation, analysis, and visualization using tools such as Excel-VBA, SQL, R, Python, PowerBI, ThoughtSpot or similar technologies and capabilities. Ability to leverage a variety of patient modeling techniques including statistical, patient-flow, and simulations-based techniques for insight generation. Required Experience and Skills: Bachelors degree, preferably in a scientific, engineering, or business-related field. 5+ years of overall experience and 3+ years of relevant experience in marketing, clinical development, commercial/advanced analytics, asset portfolio management, strategic planning, insights syndication or related roles within the pharmaceutical or biotechnology industry Strong problem-solving abilities, to find and execute solutions to complex or ambiguous business problems. Experience conducting secondary data analytics on large datasets using relevant skills e.g., excel VBA, Python, SQL Deep understanding and hands on expertise in pharma commercial data ecosystem e.g., Epidemiology datasets, biomarker data, commercialization and real-world datasets Experience in envisioning, architecting and developing data driven tools/dashboards using visualization tools (e.g. PowerBI) Hands on expertise in building patient analytics and patient journey from commercial and real-world datasets (like e-LAAD, Symphony, Optum, MarketScan etc.) Strategic thinker who can be consultative and engage as equals. Strong communication skills using effective story-telling grounded on data insights. Ability to execute solution approaches complex and ambiguous business problems. Strong communication and presentation skills, with the ability to effectively communicate complex concepts to both internal and external stakeholders. Relationship-building and influencing skills with an ability to collaborate cross-functionally. Preferred Experience and Skills: Experience in healthcare data, insights, and analytics Experience in Life Science or consulting industry Advanced degree (e.g., MBA, PharmD, PhD) preferred. Therapeutic area experience in infectious diseases/HIV, immunology, cardio-metabolic and/or ophthalmology/rare diseases preferred. Global experience preferred.

: Job TitleTreasury Model Validation Specialist Corporate TitleAssistant Vice President LocationMumbai, India Role Description Model Risk Management (MoRM) is responsible for the management of model risk in DB Group. This includes the independent validation of risk models as well as the identification, monitoring & controlling of model risk. Our aim is to identify, aggregate, manage and mitigate model risk across all risk types (market, credit, liquidity, operational and business risk). MoRM is located in Frankfurt, London, New York, Berlin, Bonn and Mumbai. For our team Treasury Model Validation, being responsible for the validation of all models owned by Deutsche Bank Treasury and legal entities like BHW, which includes IRRBB (Interest Rate Risk in the Banking Book) and liquidity risk models, we are looking for a model validation specialist located in Mumbai. What well offer you , 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Challenge, analyse, test, and independently validate mathematical and statistical risk models used by DB Treasury (mainly interest rate risk and liquidity models). Design and implementation of challenger models. Creation of validation reports and communication of validation results in various fora. Collaborating in the development and maintenance of an internal Python library to improve the efficiency of testing and documentation. Engaging with the due diligence aspects of the New Product Approval Process, and oversight of model governance for Treasury products. Your skills and experience Graduate degree in mathematics or mathematical finance, statistics, physics, or a comparable education or equivalent qualification (PhD or equivalent is not required but would be beneficial). At least 3 years of experience for AVP in model validation, other quantitative risk management role or Front Office quantitative discipline or experience in academic research. Strong understanding in financial markets (especially of risk management models, methodologies, and regulations for banking book), demonstrated by qualifications and experience. Prior experience with Interest Rate Risk / Liquidity risk will be very useful. Strong analytical skills & proven ability to structure and solve problems independently. Experience with programming languages and using related tools (e.g. Python, LaTeX). The ability to explain complex mathematical concepts and results to stakeholders. Self-motivated and solution-oriented team player. Excellent written and verbal skills in English. How well support you . . . . 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.

: In Scope of Position based Promotions (INTERNAL only) Job Title: MoRM Risk and Capital, Associate LocationMumbai, India Role Description Model Risk Management (MoRM) is responsible for holistic management of model risk. This includes the independent validation of internal models as well as the identification and the monitoring and controlling of model risk. Within MoRM, the Portfolio Models and Alpha validation team is responsible for the validation of all portfolio models developed for Credit Risk (including validation of the Alpha factor designed to capture wrong way risk in derivatives transactions), Business Risk, Operational Risk and Risk Type Diversification. What well offer you 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Self-contained validation of business and infrastructure models with main focus on AFC models and discussion of validation results with involved stakeholders Analyze the underlying mathematical methods, verify adequacy of models and their implementation. Serve as contact person regarding all methodology aspects of covered models Preparation of impact studies and presentations in relevant governance committees Review and assessment of analyses and changes done by developers to close existing validation issues Presentation of validation results to external supervisors Assess and actively manage the model risk of the relevant models by e.g. ensuring adherence to model documentation standards Your skills and experience Academic degree in Mathematics, Statistics, Physics, Econometrics or similar discipline Ability to explain mathematical concepts and results in layman's terms Professional experience 2 - 4 yrs in Credit risk and Anti-Financial-Crime Risk model development or validation are a requirement Proficient use of programming languages (Python, SAS, R, SQL) as well as experience in Machine Learning IT affinity; proficient user of MS Office Proficiency and experience in data analysis and evaluation and understanding of IT processes Very good knowledge of Monte Carlos methods and modeling/validation of portfolio models Experience in risk management is beneficial Business fluent written and verbal skills in English, German language skills are beneficial How well support you 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.

: In Scope of Position based Promotions (INTERNAL only) Job TitleAVP-CRDU- RDV & C LocationPune, India Role Description Risk Close team is responsible for month end risk close and BAU change absorption and monitoring activities in relation to critical, complex and technical risks and regulatory topics that affect Deutsche Bank (DB). Risk close is part of the Credit Risk Data Unit (CRDU) team within Group Finance and their key stakeholders include but are not limited to: Business Finance Risk Management (CRM/MRM) Group Reporting Regulatory Policy Adherence Group Production IT Support What well offer you , 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Daily preparation and monitoring and release of the risk metrics for the Flash vs Actuals for the various metrics to senior management, with commentary. Controls and Reconciliation on the BCS vs FDW Build and coordinate the production plan for the month with FPI Controls and Capture minutes of the daily production calls. Drive and follow up on the open items discussed in the call with the stakeholders and impacted team Coordinate and Manage Agenda aligned to the participants and capture minutes for the Stability Working Group Drive the other SRE initiatives risen from the various issues and the stability working group. FX effect and Flash coordination Navigate through the complex algorithms built in the risk engine to perform root cause analysis on the exposure calculations. Ultimately the calculated output should reflect the economics of the portfolio. Data Quality proactively manage the investigation and resolution of month end issues on the regulatory metrics. Providing subject matter expertise and analytics to support Finance and the Risk team regarding risk and regulatory topics or initiatives e.g. optimisation topics Change Book of Work - support the change BoW by engaging with business, CDO and IT on change Initiatives for strategic implementations and DQ remediation Liaising with relevant stakeholder for RCA and reporting Presentation of the Regulatory metric to senior audience across the Bank Your skills and experience Good Knowledge of regulatory requirements like ECB, CRR, CRD, Basel3 & Basel3.1 requirements Understanding of exposure calculation under different models e.g. SA-CCR and IMM Knowledge of Exposure Metrics like EPE/EE, Statistical Modelling (Monte Carlo Simulation etc.) Team management experience An analytical mindset and good approach to problem solving Experience of process change Strong interpersonal and communication skills Organized and structured working approach Strong attention to detail Reliable team player who enjoys working in an international environment Preferred IT Skills: Python, Advance Excel(VBA), Microstrategy, MS Access How well support you . . . .

The Specialist, Oncology Global Commercial Pipeline Analytics, HHDDA will be responsible for developing and delivering data and analytics, generating strategic insights, and addressing key business questions from the Global Oncology New Products Marketing team to inform current and future pipeline strategies. The team member will partner closely with multiple cross-functional teams, including global marketing, regional marketing, clinical, outcomes research, medical affairs, as we'll as across the depth of the HHDDA organization. Reporting to Associate Director, Oncology Global Commercial Pipeline Analytics, within HHDDA, this role will lead the development of analytics capabilities for the innovative oncology new products and pipeline priorities, spanning all tumor areas across oncology and hematology. The successful candidate will connect the dots across HHDDA capability functions like market research, forecasting, payer insights & analytics, data science, data strategy & solutions. Primary Responsibilities: Pipeline Analytics & Insights: Conduct analytics and synthesize insights enable launch excellence for multiple new assets. Conceptualize and build set of analytics capabilities and tools anchored to our marketing and launch frameworks to support strategic decision- making for Global Oncology portfolio (eg market and competitor landscape assessment tools, commercial opportunity assessments, market maps, analytical patient and HCP journeys, benchmark libraries). Analytics Delivery: Hands-on analytics project delivery with advanced expertise in data manipulation, analysis, and visualization using tools such as Excel-VBA, SQL, R, Python, PowerBI, Thought Spot or similar technologies and capabilities. Leverage a variety of patient modeling techniques including statistical, patient-flow, and simulations-based techniques for insight generation. Benchmarking Analytics: Lead benchmarking analytics to collect, analyze, and translate insights into recommended business actions to inform strategic business choices. Stakeholder Collaboration: Partner effectively with global marketing teams, HHDDA teams, and other cross-functional teams to inform strategic decisions and increase commercial rigor through all phases of pipeline asset development. Communication and Transparency: Provide clear and synthesized communication to global marketing leaders and cross-functional teams, on commercial insights addressing the priority business questions. Required Experience and Skills: Bachelors degree, preferably in a scientific, engineering, or business-related field. Overall experience of 5+ years, with 3+ years of relevant experience in oncology commercialization, advanced analytics, oncology forecasting, insights syndication, clinical development, or related roles within the pharmaceutical or biotechnology industry Therapeutic area experience in Oncology and/or emerging oncology therapies Strong problem-solving abilities, to find and execute solutions to complex or ambiguous business problems. Experience conducting predictive modelling and secondary data analytics on large datasets using relevant skills (eg, excel VBA, Python, SQL) and understanding of algorithms (such as regressions, decision trees, clustering etc) Deep understanding of commercial Oncology global data ecosystem eg, Epidemiology datasets, claims datasets, and real-world datasets Confident leader who takes ownership of responsibilities, is able to work autonomously and hold self and others accountable for delivery of quality output Strategic thinker who is consultative, collaborative and can engage as equals. Strong communication skills using effective storytelling grounded on data insights. Relationship-building and influencing skills with an ability to collaborate cross-functionally. Ability to connect dots across sources, and attention to detail Preferred Experience and Skills: Experience in diverse healthcare datasets, insights, and analytics Experience in Life Science or consulting industry Therapeutic area experience in Oncology and/or emerging oncology therapies (especially in Lung, Melanoma and Head & Neck cancer ) and companion diagnostics preferred Advanced degree (eg, MBA, PharmD, PhD) preferred. Global experience preferred Team management experience Data visualization skills (eg PowerBI)

What will you do: Analyze financial statements, credit reports, and other relevant data to assess the credit risk of potential clients. Monitor existing client accounts to identify potential credit risks and trends. Prepare regular reports on credit risk exposure and present findings to management. Work closely with the underwriting teams to provide insights and recommendations regarding credit decisions. Collaborate with compliance and legal teams to ensure adherence to regulatory requirements. Assist in the development and validation of predictive models to enhance credit decision-making processes. Stay updated on market trends, economic conditions, and regulatory changes that may impact credit risk. Investigations include the gathering of data from various sources and systems and interpreting the data to manage the risk. Qualifications: Masters degree in Finance. 2+ years of experience in credit risk analysis, preferably within the payment processing or financial services industry. Strong analytical skills with the ability to interpret complex financial data. Knowledge of credit risk assessment frameworks and regulatory requirements. Excellent communication skills, both written and verbal, with the ability to present findings to stakeholders. Detail-oriented, organized, and able to manage multiple priorities effectively.

Only Mumbai Candidates are preferred. JD Requirement Gathering And Analysis - Document and Analyse business requirement from various stakeholders. Solution Design - Design and Configure salesforce solutions based on business needs. Ensuring alignment with organisation goals. Process optimisation - Identify and design workflows to improve business process and automation within salesforce and associated tools Documentation and Colloboration - Working closely with support and development team to ensure successful implementation and adoption Testing and Training - Participate in UATs with stakeholders and ensuring right trainings given to new/ existing users Solution implementation and data management - Ensuring implementation and scalability keeping budgets control and ensuring the data accuracy, and integrity Reporting - Using salesforce reporting and analytics for tracking performance Experience: 4-5 Years of experience in Similar role preferably for Construction/ Real estate domain Technical Skills: Strong knowledge of Data analysis and Modeling, Statistical analysis skills, Python or R with Machine Learning Skills, Data visualization

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % Mandatory Skills: AI Cognitive. Experience5-8 Years.

ROLE AND RESPONSIBILITIES Wipro Technologies is seeking an experienced Observability Engineer & Administrator with advanced knowledge of Moogsoft and APEX solutions. As a member of the Wipro team you will be required to Design, implement, configure, and maintain both the Moogsoft AIOps platform and the Apex AIOps Incident Management platform. Develop and manage integrations between Moogsoft, Apex AIOps, and other relevant IT monitoring, logging, and ITSM tools. Develop and implement automation workflows and runbooks within both AIOps platforms to streamline incident management and remediation processes. Collaborate with various IT teams (monitoring, application, infrastructure, security, operations) to understand their AIOps requirements and translate them into effective solutions on both platforms. Define and enforce best practices for the configuration, utilization, and administration of both Moogsoft and Apex AIOps. Troubleshoot issues related to platform performance, data ingestion, correlation logic, integrations, and automation within both environments. Create and maintain comprehensive documentation for configurations, integrations, workflows, and operational procedures for both Moogsoft and Apex AIOps. Develop and implement metrics and dashboards within both platforms to provide visibility into IT health, incident trends, and the effectiveness of AIOps implementations. Ensure the security and compliance of both Moogsoft and Apex AIOps platforms and their integrations. QUALIFICATIONS AND EDUCATION REQUIREMENTS Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Proven experience (typically 8+ years) in a technical role focused on AIOps platforms, event management, or systems integration, with specific experience in both Moogsoft and Apex AIOps. Hands-on experience implementing, configuring, and administering both Moogsoft and Apex AIOps in a production environment is essential. Familiarity with a wide range of IT monitoring tools, logging systems, and ITSM platforms. Understanding of ITIL frameworks and incident management processes. PREFERRED S Deep hands-on expertise in configuring and managing the Moogsoft AIOps platform. Deep hands-on expertise in configuring and managing the Apex AIOps Incident Management platform. Strong understanding of AIOps concepts, machine learning algorithms used for event correlation, and noise reduction techniques within both platforms. Proven ability to integrate both Moogsoft and Apex AIOps with various IT systems using APIs and other integration methods. Excellent analytical, problem-solving, and troubleshooting skills across both AIOps platforms. Strong scripting and automation skills (e.g., Python, Shell) for automating tasks within and around both platforms. Excellent communication (both written and verbal) and collaboration skills, with the ability to work effectively with diverse technical teams. Ability to document technical solutions clearly and concisely for both platforms. Experience with version control systems (e.g., Git). GOOD TO HAVE S Experience with other AIOps platforms or event management tools. Knowledge of cloud platforms (e.g., AWS, Azure, GCP) and their monitoring and event management services, and how they integrate with Moogsoft and Apex AIOps. Understanding of security best practices for AIOps platforms and integrations. Experience with agile development methodologies. ADDITIONAL NOTES The successful candidate will be a self-starter with a passion for data visualization and problem-solving. This role may involve working closely with cross-functional teams to implement and support their monitoring needs. Rate up to 150K Location flexibility Yes Customer round Yes ExP :- 8 +years(B3 band) Deliver No. Performance Parameter Measure 1. Tool Development and deployment Quality of solution Timely development and within budget Timely deployment of tool Error free deployment Mandatory Skills: Moogsoft AIOps. Experience5-8 Years.

Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities- Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised LearningDeveloped feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the followingTableau, Hadoop, Spark, HBase, Kafka Experience- 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud- Working w/ one or more of the followingNatural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have- Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager Mandatory Skills: Generative AI. Experience3-5 Years.

Do Research, design, develop, and modify computer vision and machine learning. algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow. Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives. Help build a high-impact ML/AI team by supporting recruitment, training and development of team members. Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels. Knowledge & Abilities- Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection. Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised LearningDeveloped feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the followingTableau, Hadoop, Spark, HBase, Kafka Experience- 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets. Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud- Working w/ one or more of the followingNatural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have- Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc. Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager Mandatory Skills: Google Gen AI. Experience3-5 Years.

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % Competencies Client Centricity Passion for Results Collaborative Working Problem Solving & Decision Making Effective communicationMandatory Skills: Python for Data Science. Experience8-10 Years.

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions. Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options 3. Team Management a. Talent Management i. Support on boarding and training to enhance capability & effectiveness Deliver No. Performance Parameter Measure 1. Demand generation # PoC supported 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management # Skills acquired Mandatory Skills: Data Science. Experience3-5 Years.

Honeybee Digital is looking for Data Science Intern to join our dynamic team and embark on a rewarding career journey Assist in data science projects and activities Conduct data analysis and visualization Develop and implement data science models and algorithms Monitor and report on data science performance metrics Collaborate with data science teams to optimize operations Gain practical experience in data science

# Hands on programming exp in R language and Shiny tool # Experience in R libraries covering MS SQL Datasource Connectivity, Data Ingestion and Transformation # Experience in Shiny tool in developing complex UI with the combination of Generic charts and custom Graphs # Inquisitiveness to learn and good problem solving ability # Experience in R libraries covering MS SQL Datasource Connectivity, Data Ingestion and Transformation # Experience in Shiny tool in developing complex UI with the combination of Generic charts and custom Graphs # Inquisitiveness to learn and good problem solving ability Interested candidates may email their resume to . Role:- You will be a part of current development team and will play a part developing applications as a part of internal products or business requirement.

Role Purpose The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions Do 1. Demand generation through support in Solution development a. Support Go-To-Market strategy i. Collaborate with sales, pre-sales &consulting team to assist in creating solutions and propositions for proactive demand generation ii. Contribute to development solutions, proof of concepts aligned to key offerings to enable solution led sales b. Collaborate with different colleges and institutes for recruitment, joint research initiatives and provide data science courses 2. Revenue generation through Building & operationalizing Machine Learning, Deep Learning solutions a. Develop Machine Learning / Deep learning models for decision augmentation or for automation solutions b. Collaborate with ML Engineers, Data engineers and IT to evaluate ML deployment options c. Integrate model performance management tools into the current business infrastructure 3. Team Management a. Resourcing i. Support recruitment process to on-board right resources for the team b. Talent Management i. Support on boarding and training for the team members to enhance capability & effectiveness ii. Manage team attrition c. Performance Management i. Conduct timely performance reviews and provide constructive feedback to own direct reports ii. Be a role model to team for five habits iii. Ensure that the Performance Nxt is followed for the entire team d. Employee Satisfaction and Engagement i. Lead and drive engagement initiatives for the team Deliver No. Performance Parameter Measure 1. Demand generation Order booking 2. Revenue generation through delivery Timeliness, customer success stories, customer use cases 3. Capability Building & Team Management % trained on new skills, Team attrition % Mandatory Skills: Data Science. Experience5-8 Years.

contract 1 yearlocation ETV ( Flipkart ) Bangalore,Karnataka Job Code Mandatory SkillsMachine Learning, Statistical Modeling, Predictive Modeling, data analysis, Data Analytics, Predictive Analytics, Advanced Analytics, data mining, Python, Regression Testing Key Responsibilities Collect, clean, and explore large datasets to uncover trends and patterns. Design, develop, and deploy predictive models (e.g., regression, classification, timeseries, clustering) using machine learning and statistical techniques. Conduct advanced statistical modeling: regression, ANOVA, factor analysis, PCA, etc. Perform data analysis, feature engineering, and preprocessing to optimize model accuracy and reliability. Evaluate and refine models continually; monitor performance and recalibrate to account for data drift. Visualize data and present findings through clear dashboards and reports, using tools like Advanced Excel, Tableau, or Power BI Collaborate with cross-functional teams (e.g., business, engineering, data engineering) to integrate predictive analytics into operations. Communicate complex results to stakeholders with clarity and influence strategic decisions. Required Qualifications & SkillsEducation & Experience Bachelors degree in Statistics, Mathematics, Computer Science, Data Science, or related quantitative field; Master’s preferred 3+ years in analytics, data science, or similar roles involving predictive modeling and data analysis. Technical & Analytical Skills Machine Learning & Statistical Modeling : deep expertise in regression (linear, logistic), clustering, decision trees, random forests, time-series forecasting, SVMs, ensemble methods, and neural networks. Programming & Tools : Proficiency in Python or R; strong command of SQL for data extraction; advanced Excel (pivot tables, VBA); familiarity with ML frameworks (Scikit-Learn, TensorFlow, PyTorch). Data Manipulation & Feature Engineering : experience cleaning, wrangling, and transforming data; feature selection and dimensionality reduction (PCA, LDA). Predictive Analytics Tools : Comfortable with BI platforms (Tableau, PowerBI) and predictive environments (Azure ML, SAP, IBM SPSS, SAS). Bangalore,Karnat aka ion : Skilled in model validation, metrics (accuracy, precision, recall), A/B testing.

Graduate degree in a quantitative field (CS, statistics, applied mathematics, machine learning, or related discipline) Good programming skills in Python with strong working knowledge of Pythons numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, etc. Experience with SQL, Excel, Tableau/ Power BI, PowerPoint Predictive modelling experience in Python (Time Series/ Multivariable/ Causal) Experience applying various machine learning techniques and understanding the key parameters that affect their performance Experience of building systems that capture and utilize large data sets to quantify performance via metrics or KPIs Excellent verbal and written communication Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects. Roles & Responsibilities: Lead a team of Data Engineers, Analysts and Data scientists to carry out following activities: Connect with internal / external POC to understand the business requirements Coordinate with right POC to gather all relevant data artifacts, anecdotes, and hypothesis Create project plan and sprints for milestones / deliverables Spin VM, create and optimize clusters for Data Science workflows Create data pipelines to ingest data effectively Assure the quality of data with proactive checks and resolve the gaps Carry out EDA, Feature Engineering & Define performance metrics prior to run relevant ML/DL algorithms Research whether similar solutions have been already developed before building ML models Create optimized data models to query relevant data efficiently Run relevant ML / DL algorithms for business goal seek Optimize and validate these ML / DL models to scale Create light applications, simulators, and scenario builders to help business consume the end outputs Create test cases and test the codes pre-production for possible bugs and resolve these bugs proactively Integrate and operationalize the models in client ecosystem Document project artifacts and log failures and exceptions. Measure, articulate impact of DS projects on business metrics and finetune the workflow based on

Job Title: Data Scientist Location: Bangalore Type: Full-time (On-site) Experience: 3-6 years About the Role: We are looking for a skilled Data Scientist to lead our marketing analytics and customer journey modelling initiatives. This role will be pivotal in measuring the effectiveness of marketing campaigns, understanding user behaviour across touchpoints, and delivering insights to improve business outcomes. You will collaborate closely with marketing, growth, and data engineering teams to develop data-driven frameworks, enhance channel performance, and support strategic decision-making. Key Responsibilities: Develop and implement advanced analytical models to assess the effectiveness of various marketing channels and campaigns. Apply statistical, probabilistic, and machine learning methods to model user behaviour and conversion patterns. Work with large-scale marketing datasets, including impressions, clicks, conversions, and engagement metrics. Collaborate with marketing teams to optimize channel efficiency, campaign targeting, and user segmentation. Design and execute controlled experiments and A/B tests to validate model outputs and strategic initiatives. Automate data pipelines and model outputs to deliver real-time performance tracking and insights. Create intuitive dashboards, visualizations, and documentation to communicate insights and support business stakeholders. Qualifications: 3-6 years of experience in data science, marketing analytics, or customer journey analysis. Proficiency in Python, SQL, and commonly used data science libraries (e.g., pandas, NumPy, scikit-learn). Strong understanding of statistical modelling techniques such as logistic regression, time series analysis, and survival models. Experience with machine learning approaches for classification, segmentation, and recommendation. Solid grasp of digital marketing ecosystems and user engagement metrics. Hands-on experience with experimentation design, A/B testing, and lift analysis. Excellent problem-solving and communication skills with a strong product and data-driven mindset.

Requirement : Bachelor's Degree in Computer Science, Operations Research, Statistics, or related field. Knowledge of R, or Python Knowledge of building regression and classification models Familiarity with any or all of, Regularization methods: Lasso, Ridge Ensemble methods: Random Forest, Boosting Time Series analysis: Auto-regression, moving average, etc. Graphs modeling Support Vector Machines Decision trees Preferred : Master's or higher degrees. Industry experience in the field of Data Science. Participation in competitions like Kaggle, Netflix Data Challenge. Open source contributions in areas of Data Science (Machine Learning, Deep Learning, Statistical Learning). Worked on Scala and/or Spark. Understanding of generative AI concepts, such as transformers, diffusion models, and LLMs

Job Overview: We are looking for a GenAI Leader with 12+ years of experience and a strong background in pharma/life sciences to join our team. As a key leader, you will drive innovation in the pharma commercial and clinical space by designing cutting-edge AI solutions, leading high-performing teams, and delivering impactful results. If you have a proven track record in Generative AI, hands-on experience with models like GPT, DALL-E, and Stable Diffusion, and a passion for mentoring and thought leadership, we want to hear from you! Must have skills & competencies Enhance the go-to-market strategy by designing new and relevant solution frameworks to accelerate our clients journeys for impacting patient outcomes. Pitch for these opportunities and craft winning proposals to grow the Data Science Practice. Build and lead a team of data scientists and analysts, fostering a collaborative and innovative environment. Oversee the design and delivery of the models, ensuring projects are completed on time and meet business objectives. Engaging in consultative selling with clients to grow/deliver business. Develop and operationalize scalable processes to deliver on large & complex client engagements. Proven experience in building and productizing GenAI app at an enterprise level Ensure profitable delivery and great customer experience design the end-to-end solution, put together the right team and help them deliver as per established processes. Build an A team hire the required skills sets and nurture them in a supporting environment to develop strong delivery leaders for the Data Science Practice. Train and mentor staff and establish best practices and ways of working to enhance data science capabilities at Axtria. Operationalize an eco-system for continuous learning & development. Write white papers, collaborate with academia and participate in relevant speaker opportunities to continuously upgrade learning & establish Axtria's thought leadership in this space. Research, develop, evaluate and optimize newly emerging algorithms and technologies for relevant use cases in pharma commercial & clinical space. Extensive hands-on experience with Python, R, or Julia, focusing on data science and generative AI frameworks. Expertise in working with generative models such as GPT, DALL-E, Stable Diffusion, Codex, and MidJourney for various applications. Proficiency in fine-tuning and deploying generative models using libraries like Hugging Face Transformers, Diffusers, or PyTorch Lightning. Strong understanding of generative techniques, including GANs, VAEs, diffusion models, and autoregressive models. Experience in prompt engineering, zero-shot, and few-shot learning for optimizing generative AI outputs across different use cases. Expertise in managing generative AI data pipelines, including preprocessing large-scale multimodal datasets for text, image, or code generation. Experience in leveraging APIs and SDKs for generative AI services from OpenAI, Anthropic, Cohere, and Google AI. Expertise in defining generative AI strategies, aligning them with business objectives, and implementing solutions for scalable deployment. Knowledge of real-world applications of generative AI, such as text generation, code generation, image generation, chatbots, and content creation. Awareness of ethical considerations in generative AI, including bias mitigation, data privacy, and safe deployment practices. Good to have skills & competencies Proven ability to collaborate with cross-functional teams, including product managers, data scientists, and DevOps engineers, to deliver end-to-end generative AI solutions. Proven experience in leading teams focused on generative AI projects, mentoring ML engineers, and driving innovation in AI applications. Possessing robust analytical skills to address and model intricate business needs is highly advantageous, especially for those with a background in life sciences or pharmaceuticals. Eligibility Criteria Masters/PhD in CSE/IT from Tier 1 institute Minimum 12+ years of relevant experience in building software applications in data and analytics field. We will provide (Employee Value Proposition) Offer an inclusive environment that encourages diverse perspectives and ideas Delivering challenging and unique opportunities to contribute to the success of a transforming organization Opportunity to work on technical challenges that may impact on geographies Vast opportunities for self-development: online Axtria Institute, knowledge sharing opportunities globally, learning opportunities through external certifications Sponsored Tech Talks & Hackathons Possibility of relocating to any Axtria office for short and long-term projects Benefit package:

Description We are seeking an experienced Artificial Intelligence Researcher to join our innovative team in India. The ideal candidate will have a strong background in AI and machine learning, with a passion for research and development of cutting-edge technologies. Responsibilities Conduct research on artificial intelligence algorithms and methodologies. Develop and implement AI models and frameworks. Analyze data and derive insights to enhance AI performance. Collaborate with cross-functional teams to integrate AI solutions into products. Publish research findings in relevant conferences and journals. Stay updated with the latest developments in AI and machine learning. Skills and Qualifications PhD or Master's degree in Computer Science, Mathematics, or a related field. 3-7 years of experience in artificial intelligence or machine learning. Strong programming skills in Python, Java, or C++. Experience with machine learning libraries such as TensorFlow, PyTorch, or Keras. Solid understanding of algorithms, data structures, and statistical methods. Familiarity with natural language processing, computer vision, or reinforcement learning techniques. Excellent analytical and problem-solving skills. Strong communication and teamwork abilities.

locationsPune - West time typeFull time posted onPosted 30+ Days Ago job requisition idJR-0004722 Key roles and responsibilities Conduct comprehensive analyses, including Carbon Emissions Tracking, Carbon Footprint Assessments, Environmental Impact Analyses, Life Cycle Assessments (LCAs), Emissions Reduction Strategies, Climate Policy Development, Advocacy, Climate Modeling, Scenario Planning, and target setting aligned with Science-Based Targets (SBTi). Develop and execute data-driven strategies to assist investment managers and portfolio companies in reducing carbon emissions and setting targets. Lead initiatives to improve the sustainability performance of the Apex Group and promote responsible business practices across the organization. Contribute to the enhancement of existing ESG products and the development of innovative new offerings. Stay informed on global ESG standards and frameworks, ensuring the firms services meet current and emerging market expectations. Skills and qualifications required A masters degree in environmental engineering, sustainability, or a related field is required. Additional certifications in climate risk or ISO standards are highly desirable. Extensive experience in climate change, environmental issues, and sustainability, particularly within reputable consulting or advisory firms, financial services, or research organizations. Hands-on experience in carbon footprint analysis, GHG assessment, and climate risk advisory, with strong technical expertise in climate change, SBTi, LCA, ISO 14044/14064, decarbonization strategies, and climate risk modeling. A deep understanding of sustainability challenges across various industry sectors. Proficiency in ESG frameworks, such as SASB, GRI, TCFD, UN PRI, CSRD/NFRD, and SFDR. Strong skills in quantitative and qualitative data collection, analysis, and reporting. Excellent communication and interpersonal skills, with the ability to influence both internal and external stakeholders effectively. High proficiency in video conferencing, written communication, and presentation skills. Exceptional organizational skills and a keen attention to detail. Proficiency in MS Office is essential. Knowledge of programming languages is an added advantage. For Senior Associate and above positionsExperience in people management, product management, and process improvements is advantageous. Prior consulting or advisory experience is mandatory for Senior Associate and above roles.

Education Required: Bachelors / Masters / PhD: Bachelor s or master s in computer science, Statistics, Mathematics, Data Science, Engineering Must have skills: visualization tools such as Power BI, Tableau, or Looker, ETL, Azure data factory, SQL Stored procedure, performance tuning Good to have skills: statistical modeling, predictive analytics, or machine learning Expectation : We are seeking a detail-oriented and analytical experienced Data Engineer. The ideal candidate will be responsible for collecting, analyzing, and interpreting large datasets across various data sources to drive business decisions and strategy. This role requires strong technical skills, a passion for data, and the ability to communicate actionable insights through reporting. Collect, clean, and validate data from various sources to ensure accuracy and consistency. Analyze large datasets to identify trends, patterns, and actionable insights that support business objectives. Develop and maintain dashboards and reports using visualization tools such as Power BI, Tableau, or Looker. Collaborate with stakeholders to understand business needs and translate them into data-driven solutions. Present findings, insights, and recommendations to both technical and non-technical audiences in a clear and concise manner. Monitor key performance indicators (KPIs) and provide regular updates to business units. Support data governance and data quality initiatives to enhance overall data integrity. Preferred Skills: Experience in statistical modeling, predictive analytics, or machine learning. Familiarity with cloud-based data platforms (eg, Azure). Ability to work in a fast-paced environment and manage multiple priorities