1600 Predictive Modeling Jobs - Page 32

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking an experienced Data Science Manager to lead our data science team and drive the development of innovative AI and machine learning solutions. If you have a strong leadership background and a passion for data-driven decision-making, we would love to hear from you!. Key Responsibilities:. Lead and mentor a team of data scientists to deliver actionable insights and data-driven solutions. Oversee the design and implementation of machine learning models and data analysis workflows. Collaborate with cross-functional teams to identify key business challenges and provide data-driven recommendations. Ensure best practices for data analysis, model deployment, and algorithm development. Manage project timelines, resources, and deliverables to ensure the successful execution of data science initiatives. Required Qualifications:. 4+ years of experience in data science, including 1+ years in a leadership role. Strong proficiency in Python, R, SQL, and machine learning frameworks. Experience in leading data science projects and managing teams. Strong problem-solving skills and the ability to translate complex data insights into business strategies. Why Join Us. Competitive pay (‚1200/hour). Flexible hours. Remote opportunity. NOTEPay will vary by project and typically is up to Rs. 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs. . Shape the future of AI with Soul AI!.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% Data Scientists for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Data Scientists with expertise in predictive modeling, statistical analysis, and A/B testing. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2 12 months, or freelancing. Be a part of an Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Highly likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Lead design, development, and deployment of scalable data science solutions optimizing large-scale data pipelines in collaboration with engineering teams. Architect advanced machine learning models (deep learning, RL, ensemble) and apply statistical analysis for business insights. Apply statistical analysis, predictive modeling, and optimization techniques to derive actionable business insights. Own the full lifecycle of data science projects"”from data acquisition, preprocessing, and exploratory data analysis (EDA) to model development, deployment, and monitoring. Implement MLOps workflows (model training, deployment, versioning, monitoring) and conduct A/B testing to validate models. Required Skills: . Expert in Python, data science libraries (Pandas, NumPy, Scikit-learn), and R with extensive experience with machine learning (XGBoost, PyTorch, TensorFlow) and statistical modeling. Proficient in building scalable data pipelines (Apache Spark, Dask) and cloud platforms (AWS, GCP, Azure). Expertise in MLOps (Docker, Kubernetes, MLflow, CI/CD) along with strong data visualization skills (Tableau, Plotly Dash) and business acumen. Nice to Have:. Experience with NLP, computer vision, recommendation systems, or real-time data processing (Kafka, Flink). Knowledge of data privacy regulations (GDPR, CCPA) and ethical AI practices. Contributions to open-source projects or published research. What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are looking for a skilled Statistician with at least 3 years of experience to analyze data, run statistical models, and contribute insights to data-driven projects. Key Responsibilities:. Apply statistical methods to analyze large datasets. Develop and interpret statistical models to inform business decisions. Provide actionable insights based on statistical analysis. Required Qualifications:. 3+ years of experience as a statistician or data analyst. Strong knowledge of statistical software (e.g., R, SPSS, SAS). Excellent analytical and problem-solving skills. Why Join Us. Competitive pay (‚1200/hour). Flexible hours. Remote opportunity. NOTEPay will vary by project and typically is up to Rs. 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs. . Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking an experienced Data Science Manager to lead our data science team and drive the development of innovative AI and machine learning solutions. If you have a strong leadership background and a passion for data-driven decision-making, we would love to hear from you!. Key Responsibilities:. Lead and mentor a team of data scientists to deliver actionable insights and data-driven solutions. Oversee the design and implementation of machine learning models and data analysis workflows. Collaborate with cross-functional teams to identify key business challenges and provide data-driven recommendations. Ensure best practices for data analysis, model deployment, and algorithm development. Manage project timelines, resources, and deliverables to ensure the successful execution of data science initiatives. Required Qualifications:. 4+ years of experience in data science, including 1+ years in a leadership role. Strong proficiency in Python, R, SQL, and machine learning frameworks. Experience in leading data science projects and managing teams. Strong problem-solving skills and the ability to translate complex data insights into business strategies. Why Join Us. Competitive pay (‚1200/hour). Flexible hours. Remote opportunity. NOTEPay will vary by project and typically is up to Rs. 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs. . Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are looking for a skilled Statistical Programmer with at least 2 years of experience to write code for the collection, analysis, and presentation of data in various research and business projects. Key Responsibilities:. Write and optimize statistical code for data analysis and model development. Implement statistical methods for clinical trials, research, and business insights. Work with large datasets, ensuring the data is accurate, clean, and well-organized. Required Qualifications:. 2+ years of experience in statistical programming. Proficiency in statistical programming languages like SAS, R, or Python. Experience in data visualization and reporting using tools such as Tableau or Power BI. Why Join Us. Competitive pay (‚1200/hour). Flexible hours. Remote opportunity. NOTEPay will vary by project and typically is up to Rs. 1200 per hour (if you work an average of 3 hours every day that could be as high as Rs. . Shape the future of AI with Soul AI!.

:. Soul AI is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more. . We are seeking a talented Research Scientist (freelancer) to join our dynamic team and contribute to cutting-edge AI research and development. This is a remote, flexible opportunity where you can leverage your expertise in AI and machine learning to advance our research efforts and contribute to transformative technologies. Key Responsibilities:. Annotate and evaluate AI-generated research content in the field of AI, machine learning, and related domains. Design research prompts and assess AI responses for clarity, relevance, and scientific accuracy in AI and machine learning concepts. Provide detailed feedback to enhance the AI's research quality and its ability to produce valuable, high-impact insights. Collaborate with AI teams to improve the integration of research findings into practical AI applications and systems. Develop novel algorithms and models for AI-driven applications across various domains. Collaborate with cross-functional teams to integrate research outcomes into production-level systems and products. Required Qualifications:. D. Strong background in machine learning, deep learning, reinforcement learning, or natural language processing. Proven track record of original research, including publications in leading AI conferences or journals. Expertise in programming languages such as Python, C++, or similar, and knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch). Ability to think critically and creatively to address complex AI challenges. Excellent problem-solving skills, strong communication skills, and the ability to collaborate effectively in a team setting. Why join us. Competitive hourly payupto ‚1500 per hour. Fully remote and flexible work schedule. Opportunity to contribute to the advancement of AI technology. NOTEPay will vary by project and typically is up to ‚1500 per hour. If you work an average of 3 hours every day, you could earn up to ‚90,000 per month once you clear our screening process.

Step into the world of AI innovation with the Experts Community of Soul AI (By Deccan AI). We are looking for Indias top 1% Data Scientists for a unique job opportunity to work with the industry leaders. Who can be a part of the community. We are looking for top-tier Data Scientists with expertise in predictive modeling, statistical analysis, and A/B testing. If you have experience in this field then this is your chance to collaborate with industry leaders. Whats in it for you. Pay above market standards. The role is going to be contract based with project timelines from 2 12 months, or freelancing. Be a part of an Elite Community of professionals who can solve complex AI challenges. Work location could be:. Remote (Highly likely). Onsite on client location. Deccan AIs OfficeHyderabad or Bangalore. Responsibilities:. Lead design, development, and deployment of scalable data science solutions optimizing large-scale data pipelines in collaboration with engineering teams. Architect advanced machine learning models (deep learning, RL, ensemble) and apply statistical analysis for business insights. Apply statistical analysis, predictive modeling, and optimization techniques to derive actionable business insights. Own the full lifecycle of data science projects"”from data acquisition, preprocessing, and exploratory data analysis (EDA) to model development, deployment, and monitoring. Implement MLOps workflows (model training, deployment, versioning, monitoring) and conduct A/B testing to validate models. Required Skills: . Expert in Python, data science libraries (Pandas, NumPy, Scikit-learn), and R with extensive experience with machine learning (XGBoost, PyTorch, TensorFlow) and statistical modeling. Proficient in building scalable data pipelines (Apache Spark, Dask) and cloud platforms (AWS, GCP, Azure). Expertise in MLOps (Docker, Kubernetes, MLflow, CI/CD) along with strong data visualization skills (Tableau, Plotly Dash) and business acumen. Nice to Have:. Experience with NLP, computer vision, recommendation systems, or real-time data processing (Kafka, Flink). Knowledge of data privacy regulations (GDPR, CCPA) and ethical AI practices. Contributions to open-source projects or published research. What are the next steps. Register on our Soul AI website. Our team will review your profile. Clear all the screening roundsClear the assessments once you are shortlisted. Profile matching and Project AllocationBe patient while we align your skills and preferences with the available project. Skip the Noise. Focus on Opportunities Built for You!.

Fraud Surveillance-Risk Analytics & Rules-HO & SUPPORT-Internal Control Role: Process Manager - Analytics Mandatory Requirements: Skills: Building predictive Models/Machine Learning models and managing big data using Python and SAS is must. Education: MTech/BTech/Statistics degree is mandatory Location: Mumbai Presentation: Good written and verbal communication skills Prior experience in Analytics with BFSI for 6-7 years is must Candidate should know end to end working and functioning of payment products viz. IMPS, UPI, RTGS, NEFT and cards and have demonstrated building analytics driven solutions to prevent frauds. Knowledge of Fraud management platforms is required. Responsible to Review Fraud trends across Digital and Cards payments and Implement Rules to detect and prevent frauds Working knowledge of rule writing in FRMs like Falcon and Clari5 is required Lead a team of Analysts responsible for Business Data Analysis and Rule Management in FRM Candidate has demonstrated experience in building credit risk models for Credit Cards using various Statistical models and Machine Learning models Hands -on experience on following methods and techniques is required as role involves working with both structure and unstructured data Network Analysis(Graph theory) Link Analysis ( Market Basket/Sequence Analysis) Text mining NLP Regressions ( eg. Logistic ) Classification methods (Decision Tree, Neural Networks, KNN, SVM) Anomaly detection methods Coding knowledge on Hadoop environment is added advantage Should be able to work in minimum supervision.

: 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.

: 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.

: Job Title- Customer Analytics | Senior Business Functional Analyst Location- Pune, India Corporate TitleAVP Role Description Business Functional Analysis is responsible for business solution design as a whole in complex project environments (e.g. transformational programmes). Work includes: Identifying the full range of business requirements and translating requirements into specific functional specifications for solution development and implementation Analysing business requirements and the associated impacts of the changes Designing and assisting businesses in developing optimal target state business processes Creating and executing against roadmaps that focus on solution development and implementation. Answering questions of methodological approach with varying levels of complexity Aligning with other key stakeholder groups (such as Project Management & Software Engineering) to support the link between the business divisions and the solution providers for all aspects of identifying, implementing and maintaining solutions. 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 Collaborate with stakeholders to understand business objectives, requirements, and challenges. Translate business needs into detailed functional specifications and technical requirements. Design, develop and implement solutions using Adobe Experience Platform Products (Real time CDP, CJA, Data Collections). Conduct thorough testing and validation of implemented solutions to ensure accuracy and effectiveness. Analysis of consent management platform across the channels to ensure compliance with data privacy regulations. Feasibility checks of business requirements and effort estimation for implementation. Support in troubleshooting and fixing bugs that might occur in production environments. Train and mentor stakeholders and team members on Adobe Experience Cloud tools and best practices. Creation and maintenance of technical documentations and best practices. Closely collaborating with SMEs, architects, PO, and other developers. Stay up to date with industry trends, best practices and emerging technologies in the digital marketing and analytics area. Provide needed clarifications on requirements to team members using agile framework i.e user stories and help drive the agile process forward by participation in backlog grooming, sprint planning etc. Your skills & experience Extensive hands-on experience with Adobe Experience Platform Products (Real time CDP, CJA, Data Collections). Familiarity with UserCentrics CMP (cookie consent management) is beneficial for analyzing digital sales and marketing requirements. Proficiency in web analytics, A/B testing and personalization strategies. Extensive experience with data modelling and segmentation. Strong analytical skills with the ability to interpret data and provide actionable insights. Excellent problem-solving ability with attention to detail. Expertise and hands-on experience with integrations of marketing technology tools with other systems. Ability to work effectively in interdisciplinary international teams in an agile setting. Strong communication and interpersonal skills, with the ability to work effectively with cross-functional teams (Proficient in English - Upper Intermediate to Advanced Level). Experience of Agile software delivery methodology and Agile Team management tools (JIRA, Confluence). Comfortable working in multi-disciplinary, self-organized teams with functional stakeholders of various levels. Ability to handle a fast-paced work environment and deadlines. Skilled at collaborating effectively with team members while also working independently when required. Required Qualifications & Mandatory Minimum 8 years of previous experience in implementing and/or using marketing technology tools or a similar role. University degree in computer science / business informatics (or comparable) or comparable education. Good understanding of Data modelling & Segmentation. Knowledge of Agile/Scrum methodologies. Good understanding of Adobe Experience Platform Products (Real time CDP, CJA, Data Collections). Clear and focused communication skills (verbal and written) across all levels of the organization in English. Must have exceptional soft skills, including the ability to communicate effectively in both technical and business languages. How well support you

KEY RESPONSIBILITIES Banking Domain Expertise: Apply in-depth knowledge of banking and financial services (e.g., credit cards, retail banking) to develop and implement client-centric analytics solutions that address industry-specific challenges. Stay updated on industry trends and regulations to ensure analytics solutions align with banking standards and deliver high-impact business results. AI & ML Project Execution: Lead and oversee the execution of AI and ML projects from ideation through to deployment, ensuring that project milestones align with business objectives. Collaborate with technical teams to develop predictive models and machine learning algorithms, ensuring these models align with industry best practices. Project Management and Strategy: Develop and implement comprehensive project plans, including timelines, resource allocation, and task delegation, to achieve project goals on schedule. Manage cross-functional teams and stakeholders across various regions to ensure smooth communication, alignment, and progress tracking. Provide regular project updates, tracking key performance metrics, and ensuring alignment with organizational goals and client expectations. Analytical Solutions and Business Insights: Design data-driven analytical solutions that address complex business problems; leverage tools such asSQL, Python/R, and visualization software like Tableau/PowerBI. Conduct in-depth analysis to identify gaps, insights, and actionable recommendations, using techniques such as segmentation, hypothesis testing, and predictive modeling. Stakeholder Engagement and Client Focus: Act as a primary point of contact for clients, ensuring that all analytical solutions are tailored to meet client needs. Engage with clients to translate business requirements into technical tasks, ensuring that analytics projects deliver measurable business value\ Requirements Gathering: Techniques for eliciting, analyzing, and documenting business requirements. Business Process Modeling: Ability to model business processes using tools like BPMN or UML.

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.

Job Summary As a key member of the analytics team, you will work closely with consulting teams to understand and address clients' business challenges. Utilizing advanced analytics tools, you will systematically analyze data to derive actionable insights that drive strategic decisions. Your deep knowledge of supply chain data, paired with a strong business acumen, will enable you to solve complex problems in this domain. You will typically lead junior analytics team members to own delivery on their assignments. Roles & Responsibilities Lead end-to-end product development of spend analytics and procurement automation solutions. A bachelors degree in engineering, Computer Applications, Mathematics, or a related field from a Tier 1 university. 4-5 years of experience in Business Intelligence (BI) projects, specifically as a Qlik Sense, Tableau, or Power BI Developer. Proven ability to build, maintain, and enhance Qlik data visualizations that help drive business insights. Experience transitioning PowerPoint wireframes and Excel reports into interactive Qlik Sense dashboards. Excellent attention to details, high output accuracy and out-of-box thinking to bring in innovative approaches to problems/issues in data processing. Proficiency in MS Excel, MS PowerPoint, and MS Access, with the ability to handle complex data sets and present findings effectively. Qualification Professional & Technical Skills Good at technical troubleshooting, monitoring, and reporting activities. Prior experience in data / spend analysis. Good spoken and written English communication skills - should be able to participate in global team calls. Excellent spoken and written English communication skills, enabling seamless participation in global team calls and client discussions. A quick learner who thrives in a fast-paced, team-oriented environment. Additional experience in Power BI / Tableau and SQL Coding will be preferred.

Mandatory Skills: Analytics(DMS). 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.

Job Role &Responsibility/Designation Quality and Process Excellence Consultant Delivery Process/ FunctionName Quality Educational Qualification B.Sc. / BE / B Tech/ MBA/ B.Stat Skills ( Must Have) Problem solving tools/ analytical skills Excellent communication / interpersonal, facilitation skills High energy level, confident, assertive and team player Experience ( Minimum) Functional knowledge of Six Sigma, Statistical tools, Quality & Process re-engineering Exposure to ISO, CMMi or COPC will be added advantage Consulting experience in Shared Services Set up/BPO space is desirable

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

Socialion Media is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey Collecting and analyzing large data sets using statistical and data visualization tools Identifying patterns, trends, and correlations in data to inform business decisions Developing and maintaining databases, data systems, and data analytics tools Developing and implementing data analysis processes and methodologies Creating and delivering reports and presentations that clearly communicate data insights to management and other stakeholders Collaborating with other departments, such as marketing and operations, to develop data-driven solutions to business problems Ensuring data accuracy, completeness, and integrity Designing and conducting experiments to test hypotheses and validate assumptions Developing and maintaining predictive models to forecast business outcomes

# 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.

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 OVERVIEW: The Data Analytics and Insights Manager will play a pivotal role in driving data-driven decision-making by utilizing advanced analytics, artificial intelligence (AI), and machine learning techniques. This role will focus on leveraging technology to automate data extraction, generate actionable insights, and provide predictive analytics that will support business growth,. The ideal candidate will be responsible for leveraging technology to automate data integration from diverse sources, mining data to identify key trends, and delivering strategic insights that drive the optimization of marketing and sales strategies. KEY STAKEHOLDERS: INTERNAL Senior Sales Leadership, Marketing Team and Commercial Teams KEY STAKEHOLDERS: EXTERNAL : External Data Providers, Market Research agencies REPORTING STRUCTURE: Reports to Head Strategic Marketing ESSENTIAL QUALIFICATION: Bachelors degree in Data Science, Business Analytics, Marketing, or related fields. Additional certifications in AI, machine learning, or data analytics platforms preferred. RELEVANT EXPERIENCE: Minimum of 2+ years in data analytics, business intelligence, or related fields. Proficiency in predictive analytics, machine learning, and data science techniques. Experience with Salesforce, CRM systems, and data extraction technologies. Familiarity with the Pharma domain is an advantage. Knowledge of Marketo is a plus. Key Roles/Responsibilities KEY ROLES/RESPONSIBILITIES: Data Extraction & Automation: Use advanced data extraction techniques, including automation tools and web scraping, to gather critical data on market trends, Drive automation initiatives to streamline data collection processes and increase efficiency Predictive Analytics & Insights Generation: Leverage machine learning and AI-driven algorithms to analyze historical and current data to predict future trends and sales opportunities. Provide actionable insights to enhance lead generation, conversion rates, and overall business performance. Competitor & Market Trend Analysis: Conduct ongoing competitor analysis using automated tools to extract competitive intelligence. Generate market trend insights, helping the business to stay competitive and refine its strategy in response to external changes. Salesforce Data Analytics: Utilize Salesforce data and other integrated platforms to perform deep data analysis, track sales performance, and generate insights that drive sales team effectiveness. Automate data flow and reporting processes within Salesforce to ensure real-time, actionable insights. Collaboration with Sales and Marketing Teams: Work closely with the Inside Sales and Marketing teams to identify key performance indicators (KPIs) and analytics that support lead generation, sales optimization, and marketing strategies. Provide data-driven recommendations to drive decision-making and improve marketing campaigns. Advanced Reporting & Visualization Design and implement interactive dashboards and reports using tools like Power BI, Tableau, or Qlik. Create and deliver professional PowerPoint presentations summarizing key findings and actionable recommendations . Support Inside Sales Efforts: Use data insights to optimize inside sales strategies, ensuring that the sales team has access to high-quality leads and relevant market data. Conduct segmentation analysis, targeting, and scoring to improve sales efficiency. Key Competencies Advanced Data Analytics Skills: Strong background in data analytics, predictive modeling, and machine learning. Ability to apply statistical and algorithmic methods to analyze and predict trends. Technical Proficiency: Expertise in data extraction, automation, AI, and machine learning platforms. Proficiency in tools such as Python, R, SQL, and cloud platforms for large-scale data processing and analysis. Salesforce Experience: Proficiency in analyzing and leveraging Salesforce data to extract business insights, enhance lead generation, and optimize sales processes. Automation & Web Scraping : Expertise in using automation tools and web scraping techniques to collect data from external sources and industry reports. Business Acumen & Insight Generation: Strong ability to translate data insights into actionable business strategies, particularly to optimize sales, marketing, and competitive positioning Responsibilities Qualifications ESSENTIAL QUALIFICATION: Bachelors degree in Data Science, Business Analytics, Marketing, or related fields. Additional certifications in AI, machine learning, or data analytics platforms preferred.