1600 Predictive Modeling Jobs - Page 40

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : PySpark Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring the applications are developed and implemented efficiently and effectively. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Collaborate with cross-functional teams to gather and analyze requirements.- Design, develop, and test high-quality software solutions using PySpark.- Troubleshoot and debug applications to identify and fix issues.- Optimize application performance and ensure scalability.- Document technical specifications and user guides for reference and training purposes. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in PySpark.- This position is based at our Pune office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Salesforce CRM Analytics Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application requirements are met, overseeing the development process, and providing guidance to team members. You will also engage in problem-solving activities, ensuring that the applications are aligned with business objectives and user needs, while maintaining a focus on quality and efficiency throughout the project lifecycle. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure timely delivery of milestones. Professional & Technical Skills: - Must To Have Skills: Proficiency in Salesforce CRM Analytics.- Strong understanding of data integration techniques and tools.- Experience with application design and architecture principles.- Ability to analyze business requirements and translate them into technical specifications.- Familiarity with agile methodologies and project management practices. Additional Information:- The candidate should have minimum 5 years of experience in Salesforce CRM Analytics.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Oracle Cloud Financials Accounting Hub Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time educationExternal RRD - Resource not identified Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring the successful implementation of Oracle Fusion Cloud Accounting Hub. Your typical day will involve collaborating with the team, making team decisions, and engaging with multiple teams to contribute to key decisions. Additionally, you will provide solutions to problems for your immediate team and across multiple teams, showcasing your expertise and problem-solving skills. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Design, build, and configure applications to meet business process and application requirements- Ensure the successful implementation of Oracle Fusion Cloud Accounting Hub- Collaborate with the team to make team decisions Professional & Technical Skills: - Must To Have Skills: Proficiency in Oracle Fusion Cloud Accounting Hub- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in Oracle Fusion Cloud Accounting Hub- This position is based at our Hyderabad office- A 15 years full time education is required Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Sales and Distribution (SD) Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Sales and Distribution (SD)- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in SAP Sales and Distribution (SD)- This position is based in Mumbai- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : ACI Universal Payment BASE24-Classic Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in ACI Universal Payment BASE24-Classic- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in ACI Universal Payment BASE24-Classic- This position is based in Pune- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Sales and Distribution (SD) Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Sales and Distribution (SD)- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in SAP Sales and Distribution (SD)- This position is based in Mumbai- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Business Architect Project Role Description : Define opportunities to create tangible business value for the client by leading current state assessments and identifying high level customer requirements, defining the business solutions and structures needed to realize these opportunities, and developing business case to achieve the vision. Must have skills : Business Analysis Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : BE or Btech Summary :As a Business Architect, you will define opportunities to create tangible business value for the client by leading current state assessments and identifying high-level customer requirements. You will be responsible for defining the business solutions and structures needed to realize these opportunities and developing a business case to achieve the vision. Your role will involve collaborating with multiple teams and engaging in key decision-making processes to provide solutions for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute to key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead current state assessments to identify high-level customer requirements- Define business solutions and structures to realize opportunities- Develop a business case to achieve the vision Professional & Technical Skills: - Must To Have Skills: Proficiency in Business Analysis- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 7.5 years of experience in Business Analysis- This position is based at our Coimbatore office- A BE or Btech is required Qualification BE or Btech

Project Role : Technology Educator Project Role Description : Instrumental in keeping technology talent market relevant, by upskilling and cross skilling them. Primarily responsible for delivering foundational training in technology, delivery, professional development and industry content. Contribute to course content development and creation of questions for certification and assessments. Must have skills : Machine Learning Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Technology Educator, you will play a crucial role in keeping technology talent market relevant by upskilling and cross-skilling them. Your responsibilities will include delivering foundational training in technology, delivery, professional development, and industry content, as well as contributing to course content development and creating questions for certification and assessments. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Develop innovative training methodologies.- Conduct assessments and evaluations.- Stay updated with the latest industry trends. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Machine Learning.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Apache Spark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in Apache Spark- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Jubilant Biosys is looking for Trainee Research Associate to join our dynamic team and embark on a rewarding career journey. As a Research Associate, you will be responsible for conducting research and analyzing data to support various research projects. Conduct research studies and analyze data using a variety of research methods and tools. Analyze and interpret data using statistical software and other analytical tools. Prepare reports and presentations summarizing research findings and conclusions.

AI Developer Req number: R5051 Employment type: Full time Worksite flexibility: Hybrid Who we are CAI is a global technology services firm with over 8,500 associates worldwide and a yearly revenue of $1 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We’re seeking a problem-solving AI Developer with 3–5 years of hands-on experience in building and deploying deep learning models, including RAG systems and LLM fine-tuning. You’ll work on cutting-edge projects, contribute to open-source initiatives, and solve complex AI challenges. This is a Full-time and Hybrid position. Job Description What You’ll Do Design and implement scalable deep learning models, including RAG architectures and LLM-based solutions. Fine-tune and optimize LLMs for specific use cases (e.g., text generation, summarization). Collaborate on open-source projects and research initiatives. Optimize model performance for latency, accuracy, and scalability. What You'll Need 3–5 years of professional experience in AI/ML development. Expertise in Python and frameworks like TensorFlow/PyTorch. Proven experience with neural networks (CNNs, RNNs, Transformers) and building RAG systems. Hands-on experience in fine-tuning LLMs (e.g., GPT, Llama, Mistral) for domain-specific tasks. Strong portfolio of open-source contributions (GitHub, Kaggle, etc.). Ability to debug, optimize, and deploy models in production environments. Critical thinker with a track record of research-driven problem-solving. Preferred Experience with diffusion models or reinforcement learning. Publications in top AI conferences (NeurIPS, ICML, CVPR). Familiarity with MLOps tools (MLflow, Kubeflow) and vector databases (Pinecone, FAISS). Knowledge of cloud platforms (AWS/GCP/Azure). Physical Demands This role involves mostly sedentary work, with occasional movement around the office to attend meetings, etc. Ability to perform repetitive tasks on a computer, using a mouse, keyboard, and monitor. Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to application.accommodations@cai.io or (888) 824 – 8111.

Greetings From Mind Pro Technologies Pvt ltd (www.mindprotech.com) Job Title : Data Scientist Work Location : Karur (Tamil Nadu) or Dharwad (Karnataka ) Np : 15days or Less JOB DESCRIPTION: Must have At least 4+ Years of experience in Python with Data Science. Must have worked on at least one Live project. Experience in relevant field such as Statistics, Computer Science or Applied Math or Operational Research. Must have Masters in (Maths/Statistics or Applied Mathematics/Machine Learning etc.) History of successfully performing customer implementations Strong customer facing skills, and previous consulting experience. Experience of handling high frequency streaming data for real time analysis and reporting. Familiarity with - Natural Language Processing, Statistical Analysis (distribution analysis, correlation, variance, deep learning. Experience in tools like AWS, IBM Watson is a plus. Experience with open source technologies is a must. Excellent communication Ability to lead & build strong teams Ability to work in an ambiguous environment Desired Skills and Experience Languages/Tools: Python/R. Approaches: Machine Learning Concepts: Supervised ANN, Bayesian, Gaussian, Vector Quantization, Logistic Model, Statistical, Predictive Modeling, Minimum Message Length, SVM, Random Forest, Ensembles, ANOVA, Decision Trees, Hidden Markov Models Unsupervised ANN, ARL, Clustering Hierarchical, Cluster Analysis Reinforcement Gen AI, LLM, LSTM, RNN, CNN, KNN Big Data (Good to have): Hadoop /Kafka / Storm / Spark streaming OS: Linux, Windows 32/64 bits. Note: should know supervised and unsupervised learning, semi-supervised learning, neural networks concepts, and how ML algorithms works with training and testing data. Experience on particular data set to train, test and roll-out for production use Tool sets : Python, R, MATLAB or any AI frame work, Neural network, Gen AI, LLM Contact Details: Recruitment Team Mindpro Technologies Pvt Ltd ( www.mindprotech.com ) +91-04324-240904 / +91-9600672304

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Key Responsibilities: Provide strategic guidance on AI adoption, ethics, and governance within the organization. Advise on AI-driven business models, innovation strategies, and regulatory compliance. Evaluate AI research, development, and deployment strategies to ensure ethical and sustainable growth. Mentor and collaborate with internal teams on best practices in AI, data science, and machine learning. Assess AI risks, biases, and challenges, providing solutions for responsible AI implementation.

Job Title: Data Scientist(5 Positions)/ Lead OR Manager -Data Scientist (3 positions) Experience: Data scientist (8-10 years) / Lead Data scientist(14+ years) Job Location: Whitefield, Bangalore Mode of working: Hybrid Interview Process: First Round: L1-Internal interview Second Round: Assessment shared by us needs to be completed in 48 hours Third Round: Client discussion over the submitted assessment. Final Round: HR Discussion Preferred Domain: Healthcare Insurance/ Insurance agencies / Health Insurance / Any Insurance We are looking for a talented Data Scientist to join our growing team. In this role, you will lead efforts to develop, enhance, and optimize advanced AI and machine learning models with a particular focus on Generative AI, Large Language Models (LLMs), Langchain, and Prompt Engineering. You will oversee the application of statistical modeling techniques to derive insights, build models, and lead research initiatives that push the boundaries of AI technologies. Key Responsibilities: Leadership & Collaboration: Lead a team of data scientists, researchers, and engineers working on high-impact projects related to generative models, NLP, and statistical modeling. Collaborate with cross-functional teams, including engineering, product management, and research, to deliver AI-powered products and solutions. Generative AI Development: Spearhead the development and deployment of Generative AI models and algorithms to address complex problems in areas like content generation, conversational AI, and creative automation. LLM Implementation & Optimization: Develop, fine-tune, and optimize large language models (LLMs) for diverse applications, ensuring they are robust, scalable, and accurate in real-world scenarios. Langchain Integration: Design and integrate Langchain for managing and deploying sophisticated language models with a focus on complex workflows, multi-agent systems, and real-time applications. Prompt Engineering: Lead prompt engineering efforts to optimize AI models' output quality, improve interactions, and enable more effective natural language understanding across a variety of use cases. Statistical Modeling: Utilize advanced statistical techniques to analyze and interpret data, build predictive models, and solve business-critical challenges through data-driven insights. Research & Innovation: Stay ahead of trends in AI and ML, particularly in the fields of NLP, LLMs, and generative models. Drive innovation by exploring cutting-edge techniques and methodologies in the AI space . Mentorship & Knowledge Sharing: Mentor junior team members and promote a collaborative, learning-oriented environment. Share knowledge and foster an atmosphere of continuous improvement within the data science team. Performance Optimization: Ensure model performance meets or exceeds company and client expectations by identifying areas of improvement, testing new methods, and scaling the systems accordingly. Ethical AI Development: Advocate for and implement ethical considerations in the development and deployment of AI models, including fairness, transparency, and privacy. Qualifications: Required: Education: Ph.D. or Masters degree in Computer Science, Data Science, Mathematics, Statistics, or related field, or equivalent practical experience. Experience: 8+ years of experience in data science, with at least 2-3 years in a leadership role. Proven expertise in Generative AI, particularly in areas like content generation, deep learning, and language modeling. Strong background in Large Language Models (LLMs) such as GPT, T5, BERT, or similar architectures. Hands-on experience with Langchain for building NLP workflows, pipelines, and integrating external systems with LLMs. Hands-on experience of Prompt Engineering, including techniques to refine and optimize outputs for various NLP tasks. Expertise in statistical modeling and quantitative analysis, with the ability to apply techniques to solve real-world problems. Preferred: Experience working with transformer models and fine-tuning LLMs for specific tasks. Expertise in AI model evaluation and metrics (e.g., BLEU, ROUGE, perplexity). Background in developing AI-driven products from concept to deployment. Strong publication record in AI research, particularly in NLP and machine learning . Used cases( Any of them) Automated Underwriting. Customer experience enhancement. Fraud detection . Predictive analytics. Accelerated claims processing. Risk assessment and premium calculation . Customer profiling . c ustomer segmentation . Credit Risk Assessment . Personalised marketing . Anti-Money Laundering (AML) . Personalized patient care. Medical training and simulations. Medical Data Analysis. Please share your updated resume at renuka.rathi@puresoftware.com

Customer Success Associate Consultant design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to drive impact on client business (topline). This person will lead the engagement for AI based SaaS product deployment to clients across industries. Leverage their strong Data Science, analytics and engineering skills to build Advanced analytics processes, build scalable and operational process pipelines and find data-driven insights that help our clients solve their most important business problems and bring optimizations. Associate Consultants also engage with Project Leadership team and clients to help them understand the insights, summaries, implications and make plans to act on them. What you'll Do: Deep analytics-tech expertise: Develop and implement advanced algorithms that solve complex business problems in a computationally efficient and statistically effective manner leveraging tools like PySpark, Python, SQL on Client/ZS cloud environment Execute statistical and data modelling techniques (eg hypothesis testing, A/B Testing setup, marketing impact analytics, statistical validity etc) on large data sets to identify trends, figures and other relevant information with scalable and operational process implementations. Evaluating emerging datasets and technologies that may contribute to our analytical platform including good understanding of Generative AI capabilities and SaaS products. Communication, collaboration, unstructured problem solving and client engagement (in a high performing and high intensity team environment): Problem solving and Client engagement : Understand client business priorities, develop product use cases, do proforma analysis for estimating business opportunity, and deploy the use case for the clients. Collaboration: Work in a cross-functional team environment to lead the client engagement and collaborate on holistic solutions comprising of best practices from Frontend and Backend engineering, Data Science, and ML Engineering area. Storyboarding & impact communication : Build effective storyboards to communicate solution impact to clients and ZS Leadership Scaling mindset: Provide a structure to client engagement, build and maintain standardized and operationalized Quality Checks on team s work and ensuring high quality client deliverables Team management : Export best practices and learnings to broader team and mentor Associates on teams What you'll Bring: Bachelors degree in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytics and quantitative coursework is required Knowledge of programming - Python (Deep Expertise), Pyspark, SQL Expertise in machine learning, regression, clustering, and classification models (preferably in a product environment) Knowledge of big data/advanced analytics concepts and algorithms (eg social listening, recommender systems, predictive modeling, etc) Excellent oral and written communication skills Strong attention to detail, with a value-addition mindset Excellent critical thinking and problem-solving skills High motivation, good work ethic and maturity. 3-5 years of relevant post-collegiate work experience, preferably in industries like B2C, Product companies, in execution roles focused on Data & Decision Sciences, Data Engineering, Stakeholder management and building scalable processes. Should have hands on analytics experience where the candidate has worked on the algorithms / methodology from scratch and not merely executed existing codes and processes. Ability to coach, mentor juniors on the team to drive on the job learning & expertise building

ZSs Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. What you'll Do Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What you'll Bring A masters degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (eg, text mining, social listening, recommender systems, predictive modeling, etc). A proficiency in at least one programming language (eg, Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English.

A key enabler of our services is leveraging data in delivering client solutions. The data available about customers is getting richer and the problems that our customers are trying to answer continue to evolve. In our endeavor to stay ahead in providing solutions to these evolving complex problems, ZS has set up an Advanced Data Science which has three major focus areas: Research the evolving datasets and advanced analytical techniques to develop new offerings/solutions Deliver client impact by collaboratively implementing these solutions Provide thought leadership by developing the ZS Point of View in this space Data Science Managers (DSMs) design, develop and execute analytic techniques on large, complex, structured and unstructured data sets (including big data) to help clients make better fact-based decisions. DSMs will develop new offerings/solutions, drive client impact by delivering client solutions and shape the ZS point of view in this space. You will be responsible for applying analytical techniques to model complex business problems, uncovering insights, and identifying opportunities using statistical, algorithmic, mining, and visualization techniques. What you'll Do: Lead and mentor a team of data scientists, providing guidance and support to ensure the successful execution of client projects. Develop and implement data science strategies that align with the overall goals of the AI team and the organization. Drive business and strategy development through project delivery and client relationship management; Develop/sell new business opportunities Direct multiple projects simultaneously, honing analytic and project management skills; Play a key role in development of data science capabilities and offerings that create scale and advance our analytic platform; Motivate, coach and serve as a role model for project team members Provide thought leadership and innovation through research and publication. What you'll Bring: PhD degree in Computer Science, Statistics or related discipline; 8+ years of relevant post-collegiate work experience; in lieu of a PhD, 10+ years of work experience may substitute. Experience with big data, claims analytics, advanced analytics concepts and algorithms (eg text mining, social listening, recommender systems, predictive modeling, Gen AI, proficiency with large language models etc); Relevant programming background (eg Python/R); Strong understanding of relevant tools/platforms (eg cloud platforms such AWS/Azure); Proven track record of business development Agile project planning and project management experience; Team management and skill development experience; Relevant domain knowledge preferred; (healthcare, pharma); Excellent oral and written communication skills; Strong attention to detail, with a research-focused mindset; Excellent critical thinking and problem solving skills;

Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What you'll Bring A masters degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (eg, text mining, social listening, recommender systems, predictive modeling, etc A proficiency in at least one programming language (eg, Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English.

Develop advanced and efficient statistically effective algorithms that solve problems of high dimensionality . Utilize technical skills such as hypothesis testing, machine learning and retrieval processes to apply statistical and data mining techniques to identify trends, create figures, and analyze other relevant information. Collaborate with clients and other stakeholders at ZS to integrate and effectively communicate analysis findings. Contribute to the assessment of emerging datasets and technologies that impact our analytical platform. What you'll Bring: A masters degree in computer science , Statistics, or a relevant field ; A r obust academic performance history with coursework emphasizing analysis and quantitative skills . A knowledge of big data, advanced analytical concepts, and algorithms (eg, text mining, social listening, recommender systems, predictive modeling, etc ) . A proficiency in at least one programming language (eg, Java/Python/R ). Experience with tools/platforms such as the Hadoop eco system , Amazon Web Services or database systems. Fluency in English.

signdesk is looking for Consultant- AI Developer to join our dynamic team and embark on a rewarding career journey Develops AI-powered applications and tools for business use cases Builds machine learning models and optimizes their deployment Works closely with clients to define AI strategy and solutions Contributes to research, documentation, and training modules

Job Description The Financial Planning and Analysis Analyst 4 is responsible for developing business unit budgets and tracking the companys financial performance against expectations. This position is responsible for analyzing business performance to create forecasts that help stakeholders make strategic decisions. What you will be doing Accountable for all reporting, planning, and forecasting processes Develop, maintain, and improve financial and operational reporting to measure and track results against expectations Analyze key performance indicator (KPI) trends, especially relating to financial metrics such as expenditures and profit margin; translate financial metrics into actionable insights and predictive modeling techniques that improve decision-making, performance, and business growth Support new business initiatives, understand and analyze new business ideas, make analytical judgments, and provide data-intensive analyses to drive meaningful change Identify relevant metrics that are useful to stakeholders in making business decisions Identify opportunities to improve data integrity to enable analysis and insights. Integrate disparate sources of data using and direct the execution of various strategic and business analyses, driving cross-functional initiatives involving employees from across the organization. Deliver monthly and quarterly analysis of financial results, including variances to plan, ensuring key issues, risks, and business drivers are understood and highlighted Provide ad-hoc most complex analysis of or assistance with any other financial related projects as deemed appropriate by management Operate as a trusted advisor on issues and trends; provide general consulting services leveraging expertise and significant best practice knowledge Operate as an innovative thought leader; contribute significantly to the overall growth and quality of the department through knowledge sharing and coaching on current best practices and market trends Mentor, coach, train, and provide feedback to other team members; provide feedback to leadership on abilities of team What will make you successful Bachelor s Degree in Accounting or Finance Minimum 6 years experience in financial analysis/planning or related field Proficient with Microsoft Windows and Microsoft Office Suite Excellent oral and written communications skills that demonstrate a professional demeanor and the ability to interact with executive presence Excellent organizational, multi-tasking, and time management skills Excellent analytical and problem solving skills Excellent interpersonal skills; able to maintain solid rapport with team members as well as maintain professionalism with those outside of department Speak or write with ease, clarity and impact, using a communication style appropriate to the subject and the audience Excellent ability to prioritize while paying great attention to detail is critical Excellent ability to use original thinking to translate goals into the implementation of new ideas and design solutions Self-motivated with the ability to manage projects to completion independently Able to thrive in a fast paced, deadline driven environment Demonstrated ability to influence, motivate and mobilize team members and business partners Excellent ability to develop and use engaging, informative and compelling presentation methodologies Excellent knowledge of financial forecasting and diagnosis, corporate finance and information analysis Sharp, fast learner with a technology curiosity and aptitude Attentive to detail, as demonstrated by regularly verifying all work thoroughly to ensure accuracy Up to 5% travel time required

Minimum 12+ years of relevant experience in building software applications in data and analytics field 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. 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.

Campaign Performance Analysis: Analyze the effectiveness of media campaigns across digital, social, programmatic, and traditional media platforms. Track key performance indicators (KPIs) such as impressions, click-through rates (CTR), cost-per-click (CPC), cost-per-acquisition (CPA), and return on ad spend (ROAS). Perform in-depth analysis of media data to identify trends, opportunities, and areas for improvement. Reporting & Insights: Prepare detailed reports and dashboards to communicate media performance to client stakeholders. Provide recommendations on how to optimize campaigns based on data insights, A/B testing results, and market trends. Collaborate with the media buying and planning teams to provide insights that influence media strategy. Budget & Spend Analysis: Monitor media spend across campaigns and ensure alignment with allocated budgets. Identify opportunities for cost efficiencies and performance improvements. Assist in forecasting media spend based on historical data and future trends. Cross-Channel Attribution: Utilize multi-touch attribution models to evaluate the contribution of various media channels (search, display, social, etc.) to overall campaign performance. Help improve the media attribution process to ensure proper credit is given to each channel. Media Research & Competitor Analysis: Stay up to date with industry trends, new tools, and best practices in media analytics. Conduct competitor media analysis to understand market positioning and media strategies of competitors. Identify emerging platforms and channels for potential investment based on research. Collaboration & Stakeholder Management: Work closely with media planners, buyers, and digital marketing teams to ensure alignment of media strategy with business objectives. Provide clear and concise data-driven recommendations to both technical and non-technical stakeholders. Essential Skills & Experience Experience 2-4 years of experience in media analysis, digital marketing analytics, or a related field. Technical Proficiency: Strong knowledge of digital marketing platforms such as Google Ads, Facebook Ads, and programmatic buying platforms. Proficiency in using analytics tools like Google Analytics, Adobe Analytics, or similar platforms. Experience with data visualization tools (e.g., Tableau, Power BI, or similar) to present insights effectively. Familiarity with Excel and SQL for data manipulation and analysis. Analytical Skills: Strong ability to analyze complex data sets, derive actionable insights, and communicate findings effectively. Detail-Oriented Ability to handle multiple data points with precision, ensuring the accuracy and integrity of reports. Communication Excellent written and verbal communication skills, with the ability to explain data insights to non-technical stakeholders. Desirable Skills & Experience Experience with advanced analytics techniques such as predictive modeling or marketing mix modeling (MMM). Understanding of media buying processes and digital advertising ecosystems. Certification in Google Analytics, Facebook Blueprint, or other relevant platforms.