1143 Statistical Modeling Jobs - Page 3

Role Data Scientist Manager Years of Experience –10+ years Purpose of Role In this role, The Candidate should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. To help our company analyze trends to make better decisions. Build propensity models, customer segmentations, uplift models, campaign response models, risk, and fraud detection models. Also, Integrate the models with the business processes and consuming systems via ML Ops processes. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to evaluate the effectiveness of different courses of action. Key Accountabilities Responsibilities will include but will not be restricted to: Create models as required by the business with a high degree of precision and recall. Model accuracy and stability are key accountabilities. Understand business priorities and align data science deliverables to ensure the business receives the intelligence and modeling inputs to drive decisions. Work with stakeholders throughout the organization to identify opportunities for using company data to drive business solutions. Undertake preprocessing of structured and unstructured data and analyze large amounts of information to discover trends and patterns. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Coordinate with different functional teams to implement models and monitor outcomes. Recruit, train, develop and supervise Junior level employees. Develop processes and tools to monitor and analyze model performance and data accuracy. Technical Requirements (what) Proven experience of 8+ years as a Data Scientist. Post Graduate degree in Computer Science, Statistics, Engineering, Physics, Mathematics, Econometrics or MBA with a ML/DS focus. Knowledge of SQL and R or Python; familiarity with Scala & SPARK is an asset. Candidates with experience of working on AWS stack will be preferred, however this is not a compulsory requirement. Knowledge and experience in machine learning, optimization, statistical and data mining techniques- regression, simulation, clustering, decision trees, classification algos (bagging/boosting), neural networks. Desired Personal Qualities or Behavior Strong Analytical critical thinking skills and business acumen Strong commitment to professional development. Process Oriented and excellent time management skills. Ability to adapt to new situations and issues and to solve problems. Good organizational, communication, presentational and people skills - with the capability to communicate concisely and effectively equally well with fellow employees, non-technical colleagues and with members and/or customers alike. Role & responsibilities Preferred candidate profile Perks and benefits

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.

IT & Technology Senior Manager Data Analytics Company Background - GET provides skills and expertise to the Oil & Gas industry. - It provisions operational & supervisory field support, remote engineering, technical consulting and training services. 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 : - R or python (Data Cleaning, Statistical and Modelling packages) , 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 Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE 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 on the lookout for a data scientist who is passionate about data and problem-solving. The ideal candidate who is eager to learn, can work collaboratively with various teams, and is committed to staying updated with the latest developments in data science and machine learning. We value individuals who are proactive, detail-oriented, and ready to contribute their expertise to our diverse analytical projects. If you are someone who thrives in a challenging environment and is looking for a role where you can make a significant impact, we would love to hear from you. To be successful in this position, a candidates specific skills include, but are not limited to: Partnership: Work closely with colleagues from Sales, Operations, Product, Finance, and others to understand their domain, processes and come up with solutions for their problems and tools to make their day-to-day operations efficient and effective Strategic and Analytical Orientation: Experienced in decision making and problem solving based on analytics. Conceptual thinking for framework creation combined with strong quantitative orientation to solve complex problems with rigorous analytics and monitoring Strong Technical/Programming Skills: Orientation to & ability to code in languages such as SQL, Python, integrate structured & unstructured internal & external data sources to create user interfaces, adept at building visualizations using UI tools Machine Learning/Statistical Modeling: Training and hands on experience either through coursework and/or professional experience. Strong Communication Skills: Strong written and oral communication skills coupled with skills to influence and drive agreement through intellectual, interpersonal and negotiation skills Execution Focus: Build and manage execution plans of business intent, requirements, execute against the strategy and monitor results Results Focus: Focused on achieving short and long-term goals. Able to drive and execute an agenda in an uncertain, fluid environment with minimal supervision Strong business judgment, leadership, and integrity: Tenacious decision maker able to bring healthy, aggressive yet responsible approach to business Product Maker: The right candidate will be self-motivated and have a Product Maker mindset. Strong conceptual thinking to understand the business and ability to grasp analytical & technical concepts What to Expect? Developing processes and tools to monitor and analyze model performance and data accuracy Leading ongoing reviews of business processes and developing optimization strategies Conducting advanced statistical analysis to provide actionable insights, identify trends, and measure performance Collaborating with stakeholders and teams to implement and evaluate the data science models and outcomes Working with data engineering teams to validate data ETL process as data environment transition to cloud. Proposing solutions and strategies to business challenges Presenting information using data visualization techniques Minimum Qualifications: Bachelors degree in a technical discipline with 1+ years of experience or advanced degree with commensurate level of work experience Expertise in multiple programming languages including Python, R, and SQL. Deep understanding of machine learning algorithms and principles. Experience with cloud platforms like AWS or Google Cloud. Proficiency in big data frameworks like Hadoop or Spark. Ability to perform complex data analysis and build predictive models. Strong skills in data visualization and presentation.

Acies is looking for Principal / Subject Matter Expert - ERM, ICAAP and Model Risk Management to join our dynamic team and embark on a rewarding career journey Responsibilities include planning, coordinating tasks, collaborating with cross-functional teams, and delivering results on time The position demands attention to detail, adherence to compliance standards, effective communication, and proactive problem-solving Additionally, the role involves maintaining records, analyzing data, reporting insights, and driving continuous improvement initiatives Candidates must contribute to knowledge sharing, mentorship, and support organizational goals with dedication and accountability

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

We are looking for a Senior Data Scientist who is passionate about solving complex business problems using data. The ideal candidate will have strong hands-on experience in Python , SQL , and advanced machine learning algorithms , along with domain expertise in forecasting , pricing optimization , or inventory planning . You will work closely with cross-functional teams including product, engineering, and business stakeholders to drive data-driven strategies. Key Responsibilities: Design, build, and deploy predictive and optimization models for use cases such as demand forecasting , dynamic pricing , or inventory optimization . Translate business problems into analytical frameworks and provide actionable insights. Build and maintain scalable data pipelines and model workflows using Python and SQL. Collaborate with data engineers to ensure model integration into production systems. Present findings and recommendations to leadership using data visualizations and storytelling. Stay current with the latest techniques in machine learning , statistics , and operations research . Lead and mentor junior data scientists and analysts when required. Required Skills and Experience: 5+ years of experience in a Data Science or Analytics role with a strong business impact. Strong programming skills in Python (pandas, scikit-learn, statsmodels, etc.). Proficiency in SQL for data extraction, transformation, and manipulation. Deep understanding of machine learning algorithms (regression, classification, clustering, time series forecasting). Experience with one or more of the following domains: Demand Forecasting Price Optimization Inventory Optimization / Supply Chain Analytics Strong problem-solving and quantitative skills. Experience working with large datasets and distributed computing tools (e.g., Spark, Hadoop) is a plus. Familiarity with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn). Preferred Qualifications: Masters or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related field. Experience in retail, e-commerce, manufacturing, or logistics is a strong plus. Exposure to optimization libraries (e.g., PuLP, OR-Tools, Gurobi) is a bonus. Experience deploying models using MLOps tools or platforms is a plus

We are looking for a Data Scientist with 3-6 years experience for Bangalore location. Need candidates who can join us in short notice. Key Responsibilities You will be working on a variety of challenging problems involving descriptive, diagnostic, predictive and prescriptive analytics with customers in different industries such as financial services, telecommunications and retail. You will be tasked with building and operationalizing models such as customer segmentation models, purchase propensity models, recommendation models, churn models, anomaly detection models, time-series prediction models, etc. You will use a variety of algorithms from packages such as scikit-learn, statsmodels, Xgboost, tensorflow and pytorch. You’ll also use state-of-the-art MLOps practices to help evaluate different models, manage them and deploy them to production. Since you’ll be working on deploying models in production, you are also responsible for upholding a high standard of code quality and writing and maintaining documentation and tests for the code you write and models you develop. Finally, we are looking for creative thinkers to help us innovate as we work without customers and help develop reusable assets that can work across different customer engagements. Deep understanding of the algorithms (theory and application) that you have worked on. Strong proficiency in Python is necessary. Knowledge of data mining, cleaning, data visualisation and modelling using open source python libraries

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

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 : - R or python (Data Cleaning, Statistical and Modelling packages) , 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 Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE 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

Job Summary: Serve as a technical subject matter expert (SME) for CDISC and other industry and regulatory standards. Contribute to the development of standardized programming tools, macros, and SOPs for efficiency and compliance. Lead multiple complex and/or global clinical trial programming projects, mentoring and guiding statistical programming teams. Ensure compliance of programming deliverables with CDISC standards, regulatory requirements, and internal guidelines. Key Responsibilities: Collaborate with biostatistics and programming teams to establish SOPs, guidelines, policies, and procedures. Develop and optimize programming tools and macros for standardization and efficiency. Serve as an SME on CDISC standards: Provide guidance and training to Biostatistics and other departments on CDISC usage. Conduct compliance reviews of project deliverables (SDTM, ADaM, DEFINE.XML, and other regulatory documents). Participate in industry standards organizations and provide updates to the Biometrics department. Transfer deliverables and coordinate with cross-functional teams for project execution. Mentor junior programmers and support their understanding of CDISC standards and clinical trial processes. Perform other work-related duties and minimal travel as required. Qualifications: Undergraduate degree in a scientific or statistical discipline (or equivalent combination of education and experience). Extensive SAS or equivalent programming experience in clinical trial environments. Knowledge and hands-on experience with CDISC standards (SDTM, ADaM, DEFINE.XML). Regulatory submission experience preferred. Proven experience leading multiple complex or global projects. Experience mentoring others in clinical trial processes and CDISC standards. Excellent written and verbal communication skills; proficiency in English. Skills Required: SAS programming and clinical data analysis CDISC Standards (SDTM, ADaM, DEFINE.XML) Clinical trial data management and regulatory compliance SOP development and process standardization Mentoring and team leadership Regulatory submission experience Problem-solving and analytical thinking Communication and presentation skills Cross-functional collaboration

Duties & Responsibilities: Prepare invoice packages from consolidated monthly data files using Pivot tables and backup documentation. Route invoices to Project Managers for review and approval. Generate pass-through invoices in Oracle ERP and maintain billing records. Create PDF invoice packages, including summaries and scanned backups, and share with clients via email or courier. Update the Billing Repository with invoice details, costs, and invoice numbers. Respond to invoice-related queries from operations teams or clients. Generate investigator invoices in Oracle and send to clients. Provide billing corrections requiring journals (e.g., project-to-project recode, non-rechargeable costs). Process credits and rebills as needed. Support Billing Supervisor with required updates and reports. Requirements: 13 years of experience in invoicing and cash applications. Knowledge of invoice generation and credit memo processing. Strong Excel skills (Intermediate level or above). Experience with ERP systems (Oracle ERP preferred). Strong written and verbal communication skills. Experience working in a multi-currency environment. Good organizational skills with attention to detail and accuracy. Ability to collaborate effectively with colleagues/clients across countries. Desirable: Prior experience using Oracle ERP system.

Duties & Responsibilities: Prepare invoice packages from consolidated monthly data files using Pivot tables and backup documentation. Route invoices to Project Managers for review and approval. Generate pass-through invoices in Oracle ERP and maintain billing records. Create PDF invoice packages, including summaries and scanned backups, and share with clients via email or courier. Update the Billing Repository with invoice details, costs, and invoice numbers. Respond to invoice-related queries from operations teams or clients. Generate investigator invoices in Oracle and send to clients. Provide billing corrections requiring journals (e.g., project-to-project recode, non-rechargeable costs). Process credits and rebills as needed. Support Billing Supervisor with required updates and reports. Requirements: 13 years of experience in invoicing and cash applications. Knowledge of invoice generation and credit memo processing. Strong Excel skills (Intermediate level or above). Experience with ERP systems (Oracle ERP preferred). Strong written and verbal communication skills. Experience working in a multi-currency environment. Good organizational skills with attention to detail and accuracy. Ability to collaborate effectively with colleagues/clients across countries. Desirable: Prior experience using Oracle ERP system.

Duties & Responsibilities: Prepare invoice packages from consolidated monthly data files using Pivot tables and backup documentation. Route invoices to Project Managers for review and approval. Generate pass-through invoices in Oracle ERP and maintain billing records. Create PDF invoice packages, including summaries and scanned backups, and share with clients via email or courier. Update the Billing Repository with invoice details, costs, and invoice numbers. Respond to invoice-related queries from operations teams or clients. Generate investigator invoices in Oracle and send to clients. Provide billing corrections requiring journals (e.g., project-to-project recode, non-rechargeable costs). Process credits and rebills as needed. Support Billing Supervisor with required updates and reports. Requirements: 13 years of experience in invoicing and cash applications. Knowledge of invoice generation and credit memo processing. Strong Excel skills (Intermediate level or above). Experience with ERP systems (Oracle ERP preferred). Strong written and verbal communication skills. Experience working in a multi-currency environment. Good organizational skills with attention to detail and accuracy. Ability to collaborate effectively with colleagues/clients across countries. Desirable: Prior experience using Oracle ERP system.

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 : - R or python (Data Cleaning, Statistical and Modelling packages) , 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 Compliance Requirements : - GET has a Business Ethics Policy which provides guidance to all employees in their day-to-day roles as well as helping you and the business comply with the law at all times. The incumbent must read, understand and comply with, at all times, the policy along with all other corresponding policies, procedures and directives. QHSE 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

Description We are seeking a skilled Data Scientist with 5-14 years of experience to join our team in India. The ideal candidate will be responsible for analyzing complex data sets, developing predictive models, and collaborating with various teams to drive data-driven decision-making. Responsibilities Analyze and interpret complex data sets to provide insights and recommendations. Develop predictive models and machine learning algorithms to solve business problems. Collaborate with cross-functional teams to understand data needs and deliver actionable solutions. Visualize data findings using tools such as Tableau, Power BI, or similar. Conduct experiments and analyze A/B testing to optimize strategies and processes. Skills and Qualifications 5-14 years of experience in data science or a related field. Proficiency in programming languages such as Python, R, or SQL. Strong understanding of statistical analysis and machine learning techniques. Experience with data visualization tools like Tableau, Power BI, or Matplotlib. Familiarity with big data technologies such as Hadoop, Spark, or similar frameworks. Excellent problem-solving skills and ability to work with large datasets. Strong communication skills to present findings to stakeholders.

What You'll Do The Senior Manager, Technical Support , reporting to the Director of Global Support Operations, will lead a team of support professionals to deliver exceptional technical assistance to customers. This role manages daily operations, optimizes support processes, and drives cross-functional collaboration to enhance customer satisfaction. Additionally, the Senior Manager will help shape and implement strategies to improve support services and elevate the overall customer experience. What Your Responsibilities Will Be Team Leadership You will lead a team of technical support professionals, including first-line managers and leads Set performance goals, conduct evaluations, and foster a collaborative, high-performing team culture Technical Support Operations You will oversee daily support operations to ensure effective issue resolution Implement and increase support processes to drive efficiency and meet SLA targets Collaborate with global teams to improve KPIs and enhance the customer experience Customer Interaction You will manage escalations, providing expert guidance to resolve complex technical issues Engage with customers to understand challenges, identify root causes, and deliver effective solutions Communicate technical concepts clearly to both technical and non-technical stakeholders Cross-Functional Collaboration You will partner with product, sales, marketing, and training teams to share insights and improve product and service delivery Align support strategies with our goals through active participation in cross-functional initiatives Performance and Reporting You will analyze support metrics and customer feedback to identify trends and improvement opportunities Deliver regular performance reports and insights to senior leadership Continuous Improvement You should champion initiatives that improve support quality, efficiency, and customer satisfaction Stay current with industry trends to introduce innovative solutions and best practices What You'll Need to be Successful Bachelor's degree in a relevant technical field (e.g., Computer Science, Information Technology). 12+ years of experience building a technically focused, customer-facing, advanced experience support team and cross-functional collaboration with other teams Exceptional leadership and team management skills, with the ability to motivate and inspire a technical support team. Proficient in CRM platforms (e.g., Salesforce, ServiceNow) and experienced in managing multi-channel support (chat, phone, email, portal) Skilled in support process engineering and service improvement Analytical mindset with the ability to analyze complex technical problems and develop effective solutions. Experience with customer relationship management (CRM) software and support ticketing systems. Excellent knowledge of CRM tools like Salesforce, Service now etc. Flexibility to work in rotational night shifts(Work from office 5 days a week)

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI / ML Engineer, you will engage in the development of applications and systems that leverage artificial intelligence tools and cloud AI services. Your typical day will involve designing and implementing production-ready solutions, ensuring that they meet quality standards. You will work with various AI models, including generative AI, deep learning, and neural networks, while also exploring innovative applications such as chatbots and image processing. Collaboration with cross-functional teams will be essential to integrate these advanced technologies into existing systems and workflows, driving efficiency and enhancing user experiences. 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.- Mentor junior team members to enhance their skills and knowledge in AI and machine learning.- Continuously evaluate and implement new technologies to improve system performance and efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Good To Have Skills: Experience with machine learning frameworks such as TensorFlow or PyTorch.- Strong understanding of data analysis and statistical modeling techniques.- Experience in deploying AI models in cloud environments like AWS, Azure, or Google Cloud.- Familiarity with data preprocessing and feature engineering techniques. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Looking for statistical analysis or predictive modelling candidates with skills in Power BI, Alteryx, SQL, Python or Java, Data Analysis, Data modelling, ETL, Data processing. This role requires developing statistical learning models.

Role –Senior Gen AI Engineer Job Description: Collect and prepare data for training and evaluating multimodal foundation models. This may involve cleaning and processing text data or creating synthetic data. Develop and optimize large-scale language models like GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders) Work on tasks involving language modeling, text generation, understanding, and contextual comprehension. Regularly review and fine-tune Large Language models to ensure maximum accuracy and relevance for custom datasets. Build and deploy AI applications on cloud platforms – any hyperscaler Azure, GCP or AWS. Integrate AI models with our company's data to enhance and augment existing applications. Role & Responsibility Handle data preprocessing, augmentation, and generation of synthetic data. Design and develop backend services using Python to support OpenAI-powered solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional teams to ensure smooth deployment and integration of AI solutions. Ensure the robustness, efficiency, and scalability of AI systems. Stay updated with the latest advancements in AI and machine learning technologies. Skills & Experience Strong foundation in machine learning, deep learning, and computer science. Expertise in generative AI models and techniques (e.g., GANs, VAEs, Transformers). Experience with natural language processing (NLP) and computer vision is a plus. Ability to work independently and as part of a team. Knowledge of advanced programming like Python, and especially AI-centric libraries like TensorFlow, PyTorch, and Keras. This includes the ability to implement and manipulate complex algorithms fundamental to developing generative AI models. Knowledge of Natural language processing (NLP) for text generation projects like text parsing, sentiment analysis, and the use of transformers like GPT (generative pre-trained transformer) models. Experience in Data management, including data pre-processing, augmentation, and generation of synthetic data. This involves cleaning, labeling, and augmenting data to train and improve AI models. Experience in developing and deploying AI models in production environments. Knowledge of cloud services (AWS, Azure, GCP) and understanding of containerization technologies like Docker and orchestration tools like Kubernetes for deploying , managing and scaling AI solutions Should be able to bring new ideas and innovative solutions to our clients

Job Characteristics: Demonstrates ability to extensively use and apply data science principles, methods, theories, and concepts to assignments where precedents may not exist. Demonstrates working knowledge and interconnectivity of other related disciplines. Provides solutions to a wide range of difficult problems through design and execution of data science research. Demonstrates ability and initiative to identify, experiment and collaborate on novel approaches to data science solutions. Makes significant contributions to the exploration, refinement and deployment of data science solutions. Education/Work Experience:Degree or advanced degree in data science, mathematics, statistics, computer science or related field. BS and 8-10 years related experience or MS and 5 years related experience or PhD and less than 2 years experience. Independence level/Reports to: Provides basic leadership and individually contributes to key data science projects/experiments of moderate scope and complexity with high impact on the business. Acts with considerable latitude in determining technical approach required to meet desired objectives. Normally reports to Director, Data Science Manager, or senior technical leader.

Overview We are an integral part of Annalect Global and Omnicom Group, one of the largest media and advertising agency holding companies in the world. Omnicom’s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services. Our agency brands are consistently recognized as being among the world’s creative best. Annalect India plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Science (data & analytics), Market Research, Business Support Services, Media Services, Consulting & Advisory Services. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together . Responsibilities Translating data into clear, compelling, and actionable insights by leveraging advanced analytics tactics conducted by central resource. Developing and executing attribution and measurement projects. Ensuring timely follow through on all scheduled and ad hoc deliverables. With the leaders of the functional specialty teams, keeping track of projects being run by the Functional Specialists to ensure they are done on time and to right level of quality. Development of presentations to clients, including the results of attribution and modelling projects in a clear and insightful narrative, digestible by a lay person. Understanding of consumer and marketplace behaviors, particularly those that most impact business and marketing goals. Qualifications 3-5 years of hands-on experience in data science and analysis, demonstrating strong problem-solving capabilities and story telling capabilities Strong python skills and Data science experience are mandatory to have Market Mix Modelling is good to have Ability to create data-driven stories from large and complex datasets. Excellent written and verbal communication skills, with the ability to present data insights effectively. Proven ability to maintain positive client relationships, ensuring satisfaction and collaboration. Strong presentation skills, utilizing MS PowerPoint or other relevant platforms. Ability to work in a dynamic team environment and effectively handle multiple projects while meeting deadlines.

About The Role Project Role : Data Science Practitioner Project Role Description : Formulating, design and deliver AI/ML-based decision-making frameworks and models for business outcomes. Measure and justify AI/ML based solution values. Must have skills : Data Science Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Science Practitioner, you will be engaged in formulating, designing, and delivering AI and machine learning-based decision-making frameworks and models that drive business outcomes. Your typical day will involve collaborating with various teams to measure and justify the value of AI and machine learning solutions, ensuring that they align with organizational goals and deliver tangible results. You will also be responsible for analyzing data, interpreting results, and providing insights that inform strategic decisions, all while fostering a collaborative environment that encourages innovation and problem-solving. 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 and mentorship within the team to enhance overall performance.- Develop and implement best practices for data analysis and model development to ensure high-quality outputs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Science.- Strong analytical skills with the ability to interpret complex data sets.- Experience with machine learning algorithms and statistical modeling techniques.- Familiarity with data visualization tools to effectively communicate insights.- Proficient in programming languages such as Python or R for data analysis. Additional Information:- The candidate should have minimum 5 years of experience in Data Science.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Skill required: Tech for Operations - Artificial Intelligence (AI) Designation: AI/ML Computational Science Sr Analyst Qualifications: Any Graduation/Post Graduate Diploma in Management Years of Experience: 5 to 8 years Language - Ability: English(Domestic) - Advanced What would you do? You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationUnderstanding of foundational principles and knowledge of Artificial Intelligence AI including concepts, techniques, and tools in order to use AI effectively. What are we looking for? Machine LearningMachine Learning AlgorithmsMicrosoft Azure Machine LearningPython (Programming Language)Python Software DevelopmentAbility to work well in a teamWritten and verbal communicationNumerical abilityResults orientation2 CL8 ML Research Engineers:1. Mathematical & Statistical Foundations2. Programming & Software Engineering3. Model Development & Experimentation4. MLOps & Deployment5. Data Engineering & Feature EngineeringML Research Engineers must be adept at:Data wrangling, feature extraction, and data validationWorking with structured, unstructured, and streaming dataCollaborating with data engineers to ensure data quality and availability Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualification Any Graduation,Post Graduate Diploma in Management