1575 Predictive Modeling Jobs - Page 4

Data Scientist Experience: 3 - 5 Years Exp Salary : Competitive Preferred Notice Period : Within 30 Days Opportunity Type: Hybrid (Mumbai) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python , SQL , BI Tool Ripplehire (One of Uplers' Clients) is Looking for: Data Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About the Role RippleHire is seeking a talented Data Scientist with strong foundational skills and hands-on experience in predictive modeling to join our growing team. This is an excellent opportunity for a mid-level professional looking to make a significant impact while continuing to grow their expertise. Key Responsibilities Build and implement predictive models for business problems such as customer segmentation, churn prediction, and demand forecasting Perform data analysis and create insights from structured and unstructured data Clean, preprocess, and perform feature engineering on datasets Evaluate model performance and iterate to improve accuracy Document models and analysis for technical and business stakeholders Collaboration & Delivery Work with business teams to understand requirements and translate them into analytical solutions Create visualizations and presentations to communicate findings Participate in code reviews and knowledge sharing sessions Support deployment of models with the engineering team Required Qualifications and Experience 3-5 years of experience in data science, analytics, or related field At least 2 years of hands-on experience building predictive models Experience working with real business datasets and delivering analytical solutions Technical Skills - Must Have Strong proficiency in Python and its data science libraries (pandas, numpy, scikit-learn) Good understanding of machine learning algorithms (regression, classification, clustering) Experience with SQL for data extraction and manipulation Basic statistics knowledge (hypothesis testing, probability distributions) Experience with data visualization (matplotlib, seaborn, or similar) Familiarity with Jupyter notebooks and Git Technical Skills - Good to Have Experience with any cloud platform (AWS, GCP (Preferred), or Azure) Basic knowledge of deep learning frameworks (TensorFlow or PyTorch) Exposure to LLMs and prompt engineering Experience with any BI tool (Tableau, Power BI) Knowledge of big data tools (Spark basics) Knowledge of Vector Database Preferred Qualifications Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Mathematics, or related field Kaggle participation or personal ML projects on GitHub Experience with A/B testing Basic understanding of MLOps concepts Any experience with NLP or time series analysis What Makes You a Good Fit You have successfully built and deployed at least 2-3 predictive models You're comfortable working with messy, real-world data You can explain technical concepts to non-technical stakeholders You're eager to learn new technologies, especially in the AI/LLM space You're detail-oriented and write clean, documented code Growth Opportunities Clear path to Senior Data Scientist role Exposure to LLM projects and cutting-edge AI technologies Mentorship from senior team members Cross-functional project opportunities How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Ripplehire is a recruitment SaaS for companies to identify correct candidates from employees' social networks and gamify the employee referral program with contests and referral bonus to engage employees in the recruitment process. Developed and managed by Trampoline Tech Private Limited. Recognized by InTech50 as one of the Top 50 innovative enterprise software companies coming out of India and; NHRD (HR Association) Staff Pick for the most innovative social recruiting tool in India. Used by 7 clients as of July 2014. It is a tool available on the subscription-based pricing model. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

About the Role In this role you will work closely with product, engineering and sales teams to drive the use of Data Science across the Verve Group, collaborate with our audience-focused Data Science team and with the Machine Learning Engineers to engineer prototypes into solutions. What You Will Do DOMAIN In this role your main focus would be on our Ad-Exchange Optimization projects Win Price Prediction in various auctions setups - 1st price, 2nd price, Waterfall Supply forecasting Modeling time dependent supply availability Demand forecasting — Modeling time dependent demand interest Inventory valuation — Assessing true value of inventory in open market Traffic Shaping — Time dependent supply and demand matching Research and Development Our Data Science role includes the following responsibilities: Research and development of cutting edge Machine Learning systems, models, and schemes in many different areas of Adtech Develop real-time algorithms for campaign and bidding optimization Discover insights/patterns in exchange data Design experiments, oversee A/B testing, evaluate the quality of derived assets and continuously monitor model performance Create proof of concepts and data science prototypes Search and select appropriate data sets Perform statistical analysis and use results to improve models Identify differences in data distribution that could affect model performance in real-world situations Visualize data for deeper insights Analyze the use cases of ML algorithms and ranking them by their success probability Understanding when your findings can be applied to business decisions Reducing business problems into optimization problems Verifying data quality Job requirements What You Will Bring 5+ years experience working as a Data Scientist in industry (preferably in advertising) is a must A postgraduate degree in a relevant quantitative field (e.g. applied mathematics, statistics, engineering, computer science, physics, operations research, economics, behavioral sciences). PhD is a strong plus, Fluent in statistical analysis, data mining, and machine learning, Proficient in Python, SQL, PySpark, TensorFlow, Sklearn, Enthusiasm for solving interesting problems, Willingness to learn and work in a team-oriented and constantly changing environment. Nice to have Previous experience in - Auction optimization - Highly imbalanced classification problems - Game theory - Time series forecasting - State-space modeling - Function-Approximation Algorithms What we also work with We work with a wide range of tools, technologies and processes. The right candidate should have willingness to learn new technologies. In this role is you will get hands-on experience with many established and emerging technologies: Technologies: GCP and AWS, BigQuery, DevOps tooling: CI/CD, Docker, Airflow, Kubernetes, Grafana, Jupyterhub Other: Challenging constraints (high volume, low latency), Integrating with high performance technologies, Efficient work with Big Data (wrangling, modeling, low latency inference), Developing data-driven products.

Role & responsibilities As a Principal Data Scientist in our AdTech team, youll drive innovation in our advertising platform using advanced machine learning and statistical methods. Youll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our businesss bottom line. This role requires technical excellence and business acumen and youll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem. Preferred candidate profile B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research. Experience in auction theory, predictive modelling, causal inference, and reinforcement learning. Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies. History of mentoring junior data scientists, and comfortable in driving multiple problem statements. Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences. Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI. Create frameworks and experimental design to measure ad effectiveness and ROI. Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions. Communicate long-term roadmap, insights and recommendations to tech and business leadership. Mentor junior data scientists and provide technical guidance. Lead research initiatives in machine learning, auction theory and advertising technology.. Adtech domain experience is mandatory.

Location:Pune,Mumbai,Bangalore Employment Type:C2H Notice Period:Immediate JD: Position TitleData Scientist Job Summary We are seeking a Data Scientist to develop and implement data-driven, AI-powered solutions across the organization. In this role, you will apply analytical, statistical, and programming expertise to clean, aggregate, and interpret large datasetstranslating complex information into actionable insights. You will leverage machine learning algorithms, generative AI (Gen AI), and Retrieval Augmented Generation (RAG) methodologies to drive innovation, inform strategic decisions, and eHectively communicate findings to both technical and non-technical stakeholders.

Immediate Openings for Business analyst Data analyst ( Fin Crime ) - PUNE - Contract to hire Experience: 6+ Years Skill: Business Analyst, Financial Crime. Location: PAN INDIA Notice Period: Immediate Employment Mode: Contract to hire Working Mode: Hybrid Job Description: Financial Crime knowledge is highly desirable but less critical to the role. Knowledge of managing customer data across a complex environment with multiple customer masters is critical Understanding the challenges of a distributed data environment, how to navigate it and how to effectively consolidate it Some experience in implementation planning (via solution design iterations) in relation to new complex data models Ability to communicate well with senior stakeholders, including influencing and adoption of ideas. Hands on DA - good at data systems, dq, data transformation, dig in and investigate Understand lineage, data quality, data criticality and governance Data model implementation strategy

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 yrs of regular course Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while maintaining a focus on quality and efficiency. 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 application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and UI5.- Strong understanding of database management and optimization techniques.- Familiarity with Agile methodologies and project management tools.- Experience in developing and integrating applications with SAP modules. Additional Information:- The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.- This position is based in Hyderabad.- A 15 yrs of regular course is required. Qualification 15 yrs of regular course

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : NAMinimum 5 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. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while staying updated with the latest technologies and methodologies in application development. 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 application features. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with SAP Fiori and UI5.- Strong understanding of database management and optimization techniques.- Experience in developing and implementing RESTful APIs.- Familiarity with Agile methodologies and project management tools. Additional Information:- The candidate should have minimum 5 years of experience in SAP ABAP Development for HANA.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Responsible AI Engineer Project Role Description : Assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. Must have skills : Responsible AI Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Responsible AI Engineer, you will assess AI systems for adherence to predefined thresholds and benchmarks related to responsible, ethical, and sustainable practices. Design and implement technology mitigation strategies for systems to ensure ethical and responsible standards are achieved. A typical day involves evaluating AI systems and implementing strategies to uphold ethical standards. 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.- Expected to provide solutions to problems that apply across multiple teams.- Develop and implement responsible AI frameworks.- Conduct audits on AI systems to ensure compliance with ethical standards.- Lead initiatives to promote responsible and sustainable AI practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Responsible AI.- Strong understanding of AI ethics and responsible practices.- Experience in implementing technology mitigation strategies for AI systems.- Knowledge of AI governance frameworks.- Familiarity with AI bias detection and mitigation techniques. Additional Information:- The candidate should have a minimum of 12 years of experience in Responsible AI.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Wipro Limited (NYSEWIT, BSE507685, NSEWIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role 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 Analysis. Experience3-5 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Job Title Data Scientist (ML) Location Bengaluru (Onsite) Interview Mode- Video Duration: 6 Months Contract to hire Position Overview Strong expertise in Python, including advanced knowledge of OOP concepts. Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization using Python Azure Tech Stack, Databricks, ML Flow in any cloud platform, Airflow for orchestrating and automating workflows MLOPS concepts and containerization tools like Docker Experience with version control tools such as Git. Consistently display an intent for problem-solving Strong communication skills (vocal and written) Ability to effectively communicate and present information at various levels of an organization.

Smiths Detection is looking for Lead Data Scientist - APM to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

About the job : NP : Imm-15 days Rounds : 3 Rounds (Virtual) Mandate Skills : Apache spark, hive, Hadoop, spark, scala, Databricks The Role : - Designing and building optimized data pipelines using cutting-edge technologies in a cloud environment to drive analytical insights. - Constructing infrastructure for efficient ETL processes from various sources and storage systems. - Leading the implementation of algorithms and prototypes to transform raw data into useful information. - Architecting, designing, and maintaining database pipeline architectures, ensuring readiness for AI/ML transformations. - Creating innovative data validation methods and data analysis tools. - Ensuring compliance with data governance and security policies. - Interpreting data trends and patterns to establish operational alerts. - Developing analytical tools, programs, and reporting mechanisms - Conducting complex data analysis and presenting results effectively. - Preparing data for prescriptive and predictive modeling. - Continuously exploring opportunities to enhance data quality and reliability. - Applying strong programming and problem-solving skills to develop scalable solutions. Requirements : - Experience in the Big Data technologies (Hadoop, Spark, Nifi, Impala) - 5+ years of hands-on experience designing, building, deploying, testing, maintaining, monitoring, and owning scalable, resilient, and distributed data pipelines. - High proficiency in Scala/Java and Spark for applied large-scale data processing. - Expertise with big data technologies, including Spark, Data Lake, and Hive.

Role Purpose The purpose of this role is to design the organisations computer and network security infrastructure and protect its systems and sensitive information from cyber threats Job Responsibility Implement and manage data discovery solutions to protect sensitive information. Utilize latest tools for data security operations. Collaborate with cross-functional teams to ensure data security measures are aligned with business requirements. Stay updated with the latest trends and best practices in data security. Ability to communicate effectively with other teams. Mandatory Skills: Data Discovery classification BigID.Experience: 8-10 Years.

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail. Experience : Minimum 8 years of experience.

We are seeking an experienced Data Scientist with over 7 years of experience for an immediate joiner position in Pune. The ideal candidate will possess strong expertise in statistical methods, machine learning algorithms, and data processing techniques. Responsibilities include analyzing complex datasets, building predictive models, conducting ad-hoc analyses, and presenting insights using BI tools like Tableau. Candidates should have strong programming skills in Python or R and proficiency in SQL. Excellent documentation and communication skills are essential for this role.

About You You are an expert in applying advanced analytics to solve marketing and sales business problems. You are equally comfortable applying your knowledge to optimize marketing spend or working with sales to optimize trade spend. You are hands-on in your ability to build models, but you are also comfortable coaching less experienced team members in how to solve problems, or managing agencies to deliver where needed. You know that having a great model isnt enough, you love to derive the so what from your models and tell compelling stories which inspire action and drive growth. A day in the life of... Youll be responsible for using advanced analytics to provide robust measurements of marketing & trade investment across different business models, product categories and varied geographies. You will work closely with your stakeholders to provide guidance on how best to optimize and allocate marketing & trade investments in order to support the delivery of our commercial strategy. As part of this role you will need to : Share your experience & knowledge and build Nestls internal modelling capability Partner with stakeholders to build and deliver a portfolio of advanced analytics initiatives Work closely with to identify and answer business problems/questions using appropriate modeling techniques on available data Evangelize and provide advisory services around data science capabilities and knowledge within Nestl Work with large, complex data sets and solve non-standard problems What will make you successful Be educated to MSc level (or equivalent) in Math, Statistics, Physics, Operations Research, Econometrics or Data Science. Have proven experience of handling large datasets and reporting automation. Be able to demonstrate an excellent understanding of marketing mix modelling and price & promotion analytics. Experience with dynamic linear models/state space models is of particular interest. Have the ability to network and influence at senior levels both internally and externally. Be able to interpret data and explain business performance in an easy to understand way that tells a story to key stakeholders. Have proven experience of working in a matrix environment; achieving results through effective influencing and collaboration. Have advanced MS Excel, SQL, R, Python (or similar) experience

Python / R, SQL ML/DL (TensorFlow, PyTorch, Scikit-learn) Data Preprocessing, Feature Engineering Visualization (Tableau / Power BI) Cloud exposure (AWS/Azure/GCP preferred)

Skills Required: Proficiency in Python, SQL, Natural Language Processing (NLP), and strong data management skills, Artificial Intelligence Machine Learning, integrate AI/ML models into existing systems, delivering AI/ML projects from inception to deployment. Responsibilities: -Develop and implement AI/ML solutions to address business challenges -Collaborate with cross-functional teams to integrate AI/ML models into existing systems -Conduct research and stay updated with the latest advancements in AI/ML technologies -Proven track record of delivering AI/ML projects from inception to deployment -Strong problem-solving skills and ability to work independently and in teams. Minimum 5 years of hands-on experience in Artificial Intelligence/Machine Learning .

Job Summary: We are seeking an experienced and highly skilled Audit Senior with 3+ years of experience specializing in at least two of the following audit typesEmployee Benefit Plan (EBP) Audits, Not-for-Profit (NFP) Audits, Yellow Book Audits, and Single Audits. This is an excellent opportunity for a seasoned professional looking to take on a leadership role within a dynamic and growing organization. Key Responsibilities: Plan, and execute audit engagements for clients in EBP, NFP, Yellow Book, and Single Audit sectors. Ensure compliance with US GAAP, and other relevant auditing standards. Develop and maintain strong client relationships by providing high-quality service and strategic insights. Supervise, mentor, and train audit staff and senior associates to enhance their technical and professional skills. Review and finalize audit workpapers, reports, and financial statements to ensure accuracy and compliance. Identify and assess audit risks, develop audit strategies, and communicate findings and recommendations to clients. Coordinate with clients, regulators, and internal teams to facilitate audit processes and address issues proactively. Stay updated on industry trends, changes in regulations, and best practices to enhance audit efficiency and effectiveness. Assist in business development efforts, including proposal writing, client presentations, and networking to expand service offerings. Requirements 3+ years of audit experience, with a focus on at least two of the followingEBP, NFP, Commercial, Yellow Book, and Single Audits. Bachelors or Masters degree in Accounting, Finance, or a related field. CA, CMA, CPA certification required (or actively pursuing with significant progress). Extensive knowledge of US GAAP. Strong analytical, problem-solving, and decision-making skills. Excellent verbal and written communication skills with the ability to present findings to clients and stakeholders. Proficiency in audit software, Microsoft Office Suite, and data analytics tools. Ability to mentor and develop junior audit professionals.

About the team ZF Wind Power puts wind energy in motion! The ZF Wind Power Business Unit is part of ZF group which is known as one of the worlds leading automotive suppliers. As wind turbines continue to grow, we are continuously pushed outside of our engineering boundaries, which makes it a challenging engineering environment to work in. What you can look forward to as Analytics Software Engineer(m/f/d): Design, development, and maintenance of analytics products within the business unit test Systems of ZF Industrial Technology Division Contribution to advanced analytics products and projects by developing softwarecomponents based on coding best practices and standards Implementation of machine learning techniques and integration in existing solutions Continuous improvement of agile development processes and automation of qualityinsurance mechanisms Improvement of existing solutions and approaches in interdisciplinary teams and collaboration with data scientists and analysts to understand business requirements and translate them into the technical specifications. Your profile as Analytics Software Engineer Degree in computer science or mechanical engineering with focus on advancedanalytics in manufacturing. 3+ years professional experience with machine learning techniques applied in productive environment and good understanding of manufacturing as well as testing processes. Proven experience in software development with at least one high-level programminglanguage (e.g., Python) and know-how in usage of APIs at scale. Professional know-how in agile project management, with good understanding ofDevOps processes. Excellent problem-solving skills with the ability to communicate complex matters to allstakeholders.

Roles and Responsibility Develop and implement data analytics solutions to drive business growth. Collaborate with cross-functional teams to design and execute operational processes. Analyze complex data sets to identify trends and opportunities for improvement. Design and implement data visualization tools to communicate insights to stakeholders. Develop and maintain databases and data systems to support business operations. Identify and mitigate risks associated with data analysis and operational processes. Job Requirements Strong understanding of data analytics principles and practices. Experience with data visualization tools and technologies. Excellent problem-solving skills and attention to detail. Ability to work collaboratively in a fast-paced environment. Strong communication and interpersonal skills. Experience with database management and data system development.

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 : Microsoft Azure Machine Learning 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 overseeing the entire application development process and ensuring its successful implementation. This role requires strong leadership skills and the ability to collaborate with cross-functional teams to deliver high-quality solutions. 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 for application-related matters.- Oversee the entire application development process.- Ensure successful implementation of applications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure 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 5 years of experience in Microsoft Azure 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 : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in the development and maintenance of the data platform components, contributing to the overall success of the project. 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.- Assist with the data platform blueprint and design.- Collaborate with Integration Architects and Data Architects to ensure cohesive integration between systems and data models.- Develop and maintain data platform components.- Contribute to the overall success of the project. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- 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 Databricks Unified Data Analytics Platform.- 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 : SAP S/4HANA Group Reporting Good to have skills : NAMinimum 12 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 that apply across multiple teams. With your expertise and leadership, you will contribute to the success of the project and drive innovation. 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- Expected to provide solutions to problems that apply 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 Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP S/4HANA Group Reporting- 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 12 years of experience in SAP S/4HANA Group Reporting- This position is based at our Gurugram office- A 15 years full-time education is required Qualification 15 years full time education