15 Data Sciences Jobs

As the Talent Optimisation Lead for APAC and EMEA at Kimberly-Clark, you will play a crucial role in driving operational excellence in talent acquisition programs and systems. Your responsibilities will include partnering with technology, HR, and TA Leads to enhance candidate and partner (employee) experiences by implementing lean improvement concepts, optimizing processes, and driving technology transformation. Kimberly-Clark is committed to creating Better Care for a Better World, and we are seeking individuals who share our passion for making a difference. In this role, you will leverage your expertise to build and manage a portfolio of iconic brands that impact billions of people globally. Your contribution as a TA Enablement professional will directly contribute to delivering better care worldwide. Overseeing the health of Talent Optimisation Lead for APAC and EMEA, you will be responsible for supply chain management, demand planning, resource allocation, and driving economies of scale. You will lead process excellence initiatives, optimize workflows, and ensure a seamless experience for stakeholders by eliminating duplicative work. Additionally, you will monitor supply chain indicators, conduct predictive analytics, and provide insights to enhance performance and problem prevention. To be successful in this role, you should possess a Bachelor's degree or equivalent professional qualifications, along with 10+ years of relevant experience in recruitment or HR functions. Strong analytical skills, knowledge of HR processes and systems, and the ability to drive collaborative relationships across functions are essential. You will be required to work in a virtual team environment, collaborating with diverse stakeholders across cultures and time zones. If you are a proactive problem-solver with a passion for driving operational excellence and supporting global HR initiatives, we encourage you to apply for this opportunity. Click the Apply button to start the online application process and explore the possibility of joining our team at Kimberly-Clark. Please note that this role is open to local candidates authorized to work in the relevant country, and relocation support will not be provided. Join us in our mission to deliver better care and make a positive impact on the world through your contributions at Kimberly-Clark. This is a full-time position based in India.,

Genpact is a global professional services and solutions firm with a team of over 125,000 professionals in more than 30 countries. Driven by curiosity, agility, and the desire to create lasting value for clients, we serve leading enterprises worldwide, including the Fortune Global 500. Our purpose is the relentless pursuit of a world that works better for people, and we achieve this through our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the position of Principal Consultant, Research Data Scientist. We are looking for candidates with relevant experience in Text Mining/Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms. The ideal candidate should have full cycle experience in at least one large-scale Text Mining/NLP project, including creating a business use case, Text Analytics assessment/roadmap, technology & analytic solutioning, implementation, and change management. Experience in Hadoop, including development in the map-reduce framework, is also desirable. The Text Mining Scientist (TMS) will play a crucial role in bridging enterprise database teams and business/functional resources, translating business needs into techno-analytic problems, and working with database teams to deliver large-scale text analytic solutions. Responsibilities: - Develop transformative AI/ML solutions to address clients" business requirements - Manage project delivery involving data pre-processing, model training and evaluation, and parameter tuning - Manage stakeholder/customer expectations and project documentation - Research cutting-edge developments in AI/ML with NLP/NLU applications in various industries - Design and develop solution algorithms within tight timelines - Interact with clients to collect and synthesize requirements for effective analytics/text mining roadmap - Work with digital development teams to integrate algorithms into production applications - Conduct applied research on text analytics and machine learning projects, file patents, and publish papers Qualifications: Minimum Qualifications/Skills: - MS in Computer Science, Information Systems, or Computer Engineering - Relevant experience in Text Mining/Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms Technology: - Open Source Text Mining paradigms (NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene) and cloud-based NLU tools (DialogFlow, MS LUIS) - Statistical Toolkits (R, Weka, S-Plus, Matlab, SAS-Text Miner) - Strong Core Java experience, programming in the Hadoop ecosystem, and distributed computing concepts - Proficiency in Python/R programming; Java programming skills are a plus Methodology: - Solutioning & Consulting experience in verticals like BFSI, CPG, with text analytics experience on large structured and unstructured data - Knowledge of AI Methodologies (ML, DL, NLP, Neural Networks, Information Retrieval, NLG, NLU) - Familiarity with Natural Language Processing & Statistics concepts, especially in their application - Ability to conduct client research to enhance analytics agenda Preferred Qualifications/Skills: Technology: - Expertise in NLP, NLU, and Machine learning/Deep learning methods - UI development paradigms for Text Mining Insights Visualization - Experience with Linux, Windows, GPU, Spark, Scala, and deep learning frameworks Methodology: - Social Network modeling paradigms, tools & techniques - Text Analytics using NLP tools like Support Vector Machines and Social Network Analysis - Previous experience with Text analytics implementations using open source packages or SAS-Text Miner - Strong prioritization, consultative mindset, and time management skills Job Details: - Job Title: Principal Consultant - Primary Location: India-Gurugram - Schedule: Full-time - Education Level: Master's/Equivalent - Job Posting Date: Oct 4, 2024, 12:27:03 PM - Unposting Date: Ongoing - Master Skills List: Digital - Job Category: Full Time,

As a Software Engineer, you will play a crucial role in developing various tools and features for Data and ML platforms at the organization. Your responsibilities will include working on projects related to data processing, insights portal, data observability, data lineage, model hub, and data visualization. You will have the opportunity to either create custom solutions from scratch or customize existing open-source products to meet the specific needs of the company. The ideal candidate for this role is someone who enjoys tackling challenges, solving problems creatively, excels in collaborative environments, and is capable of delivering high-quality software within tight deadlines and constraints. This position will involve the development of innovative tools and frameworks that can enhance the capabilities of third-party BI tools through APIs. To qualify for this role, you should have a minimum of 4 years of hands-on experience with programming languages such as Java, Python, or Scala. Additionally, you should possess expertise in designing and implementing scalable microservices and Rest APIs, as well as hands-on experience with SQL and NoSQL databases. Experience in building and deploying cloud-native applications on platforms like AWS, GCP, or others is essential. Proficiency in DevOps tools, containers, and Kubernetes is also required. Strong communication and interpersonal skills are necessary for effective collaboration with cross-functional teams, along with a strong sense of ownership towards project deliverables. Preferred qualifications for this role include knowledge of Big Data technologies and platforms, familiarity with distributed computing frameworks like Spark, and experience with SQL query engines such as Trino and Hive. Previous exposure to AI/ML and Data Sciences domains would be advantageous, as well as proficiency in JavaScript libraries and frameworks like React. Experience with Business Intelligence (BI) platforms like Tableau, ThoughtSpot, and Business Objects is considered a plus. In terms of education and experience, a relevant academic background coupled with hands-on experience in software development is preferred. The successful candidate should be proactive, detail-oriented, and capable of working effectively in a fast-paced environment. If you are passionate about developing cutting-edge solutions in the field of data and ML, this role offers an exciting opportunity to contribute to impactful projects and drive innovation within the organization.,

Genpact is a global professional services and solutions firm with over 125,000 employees in more than 30 countries. We are driven by curiosity, entrepreneurial agility, and the desire to create lasting value for our clients, including Fortune Global 500 companies. Our purpose is the relentless pursuit of a world that works better for people, and we serve leading enterprises with deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the role of Senior Principal Consultant, Research Data Scientist. The ideal candidate should have experience in Text Mining, Natural Language Processing (NLP) tools, Data sciences, Big Data, and algorithms. It is desirable to have full-cycle experience in at least one Large Scale Text Mining/NLP project, including creating a business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation, and Change Management. Experience in Hadoop, including development in the map-reduce framework, is also required. The Text Mining Scientist (TMS) will play a crucial role in bridging enterprise database teams and business/functional resources, translating business needs into techno-analytic problems and working with database teams to deliver large-scale text analytic solutions. The right candidate should have prior experience in developing text mining and NLP solutions using open-source tools. Responsibilities include developing transformative AI/ML solutions, managing project delivery, stakeholder/customer expectations, project documentation, project planning, and staying updated on industrial and academic developments in AI/ML with NLP/NLU applications. The role also involves conceptualizing, designing, building, and developing solution algorithms, interacting with clients to collect requirements, and conducting applied research on text analytics and machine learning projects. Qualifications we seek: Minimum Qualifications/Skills: - MS in Computer Science, Information systems, or Computer engineering - Systems Engineering experience with Text Mining/NLP tools, Data sciences, Big Data, and algorithms Technology: - Proficiency in Open Source Text Mining paradigms like NLTK, OpenNLP, OpenCalais, StanfordNLP, GATE, UIMA, Lucene, and cloud-based NLU tools such as DialogFlow, MS LUIS - Exposure to Statistical Toolkits like R, Weka, S-Plus, Matlab, SAS-Text Miner - Strong Core Java experience, Hadoop ecosystem, Python/R programming skills Methodology: - Solutioning & Consulting experience in verticals like BFSI, CPG - Solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks - Understanding of NLP & Statistics concepts, applications like Sentiment Analysis, NLP, etc. Preferred Qualifications/Skills: Technology: - Expertise in NLP, NLU, Machine learning/Deep learning methods - UI development paradigms, Linux, Windows, GPU Experience, Spark, Scala - Deep learning frameworks like TensorFlow, Keras, Torch, Theano Methodology: - Social Network modeling paradigms - Text Analytics using NLP tools, Text analytics implementations This is a full-time position based in India-Noida. The candidate should have a Master's degree or equivalent education level. The job posting was on Oct 7, 2024, and the unposting date is ongoing. The primary skills required are digital, and the job category is full-time.,

As a Data Scientist/Analyst at A.com, you will be a part of the Digital Media (DMe - Consumer business) and Digital Experience (DX - Enterprise business) product analytics teams. Your primary responsibilities will involve utilizing analytics tools such as Adobe Experience Cloud and Big Data Platform to drive deeper customer analytics and insights across various web surfaces including Adobe.com, mobile, web apps, and desktop apps. Your key responsibilities will include: - Utilizing analytics tools like Adobe Experience Cloud and Hive/SQL to analyze data and deliver insights on visitor/customer behavior across key Adobe business surfaces. - Drawing insights from structured and unstructured data to understand market dynamics, visitor behavior, and surface performance metrics. - Collaborating with various teams to understand end-to-end customer journeys, support measurement processes, and track business targets. - Creating, enhancing, and applying various models for Forecasting, SEO, LTV, Optimization, and more. - Owning SEO analytics, including data mart and dashboards, and updating leadership on SEO evolutions. - Setting business targets for Adobe business surfaces using data science models and forecasting methodologies. - Reviewing test hypotheses, developing growth plans, and providing actionable insights to key business stakeholders. - Understanding customer intent through voice of the customer analytics and providing insights for business stakeholders. - Drawing meaningful insights from various Adobe data sources to optimize growth and engagement KPIs. - Partnering with data engineering team to create reports and dashboards for effective communication of insights. At Adobe, we are committed to creating exceptional employee experiences and promoting equal opportunities for all. If you require any accommodations due to a disability or special need, please contact us at accommodations@adobe.com or call (408) 536-3015.,

As a Professor in Computer Science at Accurate Group of Institutions, located in Greater Noida, you will be an integral part of a premier educational hub committed to shaping the future leaders in technology and management fields. With our state-of-the-art infrastructure, global collaborations, and industry-focused programs, we aim to equip students with contemporary knowledge and skills. In this role, you will be responsible for delivering captivating lectures, seminars, and workshops in specialized areas such as Artificial Intelligence, Machine Learning, Cyber Security, Data Sciences, and Internet of Things (IOT). Your expertise will extend to supervising research scholars, guiding academic projects across different academic levels, and contributing to curriculum enhancement to meet industry standards. Your key responsibilities will include conducting funded research projects, publishing in renowned international and national journals, organizing technical events, and mentoring students for their academic growth and career prospects. You will also collaborate with industry professionals to establish strong academic-industry partnerships. To qualify for this position, you should hold a B.Tech or M.Tech in Computer Science or a related discipline, with a minimum of 3-5 years of teaching experience as per UGC/AICTE norms. A strong command in AI, Machine Learning, Cyber Security, or Data Sciences along with quality publications is essential. Additionally, you should possess excellent academic leadership, mentorship, and curriculum development skills, and be well-versed with the AKTU syllabus. Join us at Accurate Group of Institutions and be part of a vibrant academic community dedicated to excellence in education and research.,

Develop mathematical models for trading, forecasting, or data processing, and continuously enhance existing models. Analyze large datasets to identify trends and insights, as well as conduct research on financial markets and economic conditions. Utilize strong coding skills in Python and other languages to implement mathematical models. Explore unconventional data sources to drive innovation and enhance model performance. Translate mathematical models into algorithms for practical application. Manage risk by developing mathematical models to assess and mitigate risks associated with products or strategies. Build predictive models based on historical data using Monte Carlo modeling techniques. Demonstrate proficiency in writing pseudo code and Python code to test mathematical models. Possess a good understanding of trading systems and trade execution processes to minimize latency and slippages. Have a comprehensive knowledge of financial and capital markets to make informed decisions. Oversee the development and implementation of investment strategies using mathematical and statistical tools. Utilize AI, machine learning, and linear latent models to enhance efficiency and productivity. Apply data science, mathematics, and statistics to develop or enhance investment strategies. Ensure compliance with SEBI regulations and other legal requirements. Identify and implement mathematical and statistical models for effective risk management of strategies and products. Establish and monitor internal controls to manage and mitigate risks efficiently. Requirements: - Bachelor's degree in Mathematics, Master's degree preferred or currently pursuing a PhD in Mathematics. - Relevant experience in mathematics, statistics, computer science, or finance is preferred. - Minimum of 3-5 years of experience in building mathematical models and data sciences. - Proven ability to develop and implement mathematical models in live market strategies. - Uphold high ethical standards and prioritize clients" best interests. This is a full-time position with a day shift schedule requiring in-person work.,

As an Analytics and Modeling Specialist at Accenture, you will play a crucial role in providing data-driven analytics to Market/Services leadership. Your primary responsibility will involve delivering analytics to one of the Markets/Services, proposing and executing cost-effective analysis to meet the business needs of Biz Ops Leads within the Market/Service. This will include defining metrics, understanding business requirements, identifying data sources, executing analyses, and delivering outcomes through necessary channels. Your focus will be on developing, modifying, enhancing, and adding value to key deliverables to support leadership in their review meetings. To be successful in this role, you should have a graduate degree (or equivalent), with a full-time MBA from a tier I or tier II institution preferred. You should have 6-8 years of work experience, with at least 3 years in Analytics/Reporting/PMO roles. Strong knowledge of advanced Excel, PowerPoint, and data visualization tools like Power BI is essential. Knowledge of SQL, SSRS, Access, VBA, and experience in data sciences/predictive analytics will be advantageous. Familiarity with Power Apps is also preferred. Key behaviors and skills required for this role include experience in data visualization and analytics, understanding of dashboards and scorecards for leadership review, ability to manage multiple projects simultaneously, strong analytical skills, proficiency in Excel/PPT/Power BI, and excellent project management skills. You should be able to collaborate effectively with teams across different geographies and maintain a good working relationship. Attention to detail, innovation, production management, team development, and project management are also critical aspects of this role. In your role as an Analytics and Modeling Specialist, you will be accountable for providing business operations support to Services/Markets, producing analytics across various business dimensions, writing business insights, driving adoption of standard Accenture tools, and working in an agile manner to address on-demand change requests and ad-hoc reporting needs. You will also be responsible for project management, requirement gathering, project delivery, and tracking actions, issues, and challenges. Your job summary will involve acting as a business partner to Market/Service Leads, providing data-driven insights using analytics and data visualization tools, managing business result reviews, analyzing programs, providing operations support and reporting to leadership, enabling leadership with actionable insights, leveraging Accenture tools for better business insights, and coordinating dashboards and presentations for regular business reviews. Your responsibilities will include developing yourself as a subject matter expert on business analytics and data, combining Accenture product understanding with business acumen, engaging with stakeholders, conducting update meetings, managing crises, and partnering with stakeholders to provide data-driven business advice. If you meet the qualifications and possess the skills and behaviors mentioned above, we encourage you to apply for this exciting opportunity to be part of the Analytics and Modeling team at Accenture.,

As a member of our global team in the Data Sciences organization, you will play a crucial role in establishing scientific excellence in the development of digital biomarkers and endpoints. Your primary responsibility will be leading the identification, development, and deployment of novel digital endpoints and outcome measures across clinical trials and life cycle management programs. This will involve close collaboration with the Global Digital Health organization to design and validate algorithms extracting clinically relevant insights from various digital health data sources. Your expertise will ensure scientific rigor, clinical validity, and regulatory readiness in this process. In this role, you will be required to embed digital health technologies within evidence generation strategies, advocating for their acceptance in clinical trials and practice. Additionally, you will contribute to key regulatory filings and publications, promoting the adoption of digital endpoints within the global R&D community. Keeping abreast of emerging trends, you will integrate innovative solutions to enhance patient care and clinical research. Your leadership will be pivotal in driving transformation efforts that maximize the potential of Digital Health Technologies. To excel in this position, you should hold a PhD in a quantitative natural science or medical initiative with a focus on large-scale data analysis. A minimum of 7 years of relevant experience in the pharmaceutical or related industry is essential, along with a proven track record in designing and validating digital endpoints or biomarkers for clinical applications. Experience working with data from digital health technologies, familiarity with algorithm development, and deployment in clinical or real-world settings are also required. Furthermore, you should have expertise in digital biomarker/endpoint development, including psychometric and statistical validation, as well as a solid understanding of algorithm development, signal processing, and AI/ML methods as applied to digital health data. Strong stakeholder management skills, the ability to navigate matrixed organizations effectively, and excellent communication and scientific writing skills are crucial for success in this role. Join us in our mission to create access and opportunities for all to develop and grow at their own pace. Be a part of our inclusive and diverse team that is dedicated to sparking discovery and elevating humanity. Apply now and contribute to championing human progress with us!,

As a Software Engineer in the Direct Platform Quality team at Morningstar's Enterprise Data Platform (EDP), you will play a crucial role in developing and maintaining data quality solutions to enhance Morningstar's client experience. You will collaborate with a quality engineering team to automate the creation of client scorecards and conduct data-specific audit and benchmarking activities. By partnering with key stakeholders like Product Managers and Senior Engineers, you will contribute to the development and execution of data quality control suites. Your responsibilities will include developing and deploying quality solutions using best practices of Software Engineering, building applications and services for Data Quality Benchmarking and Data Consistency Solutions, and adding new features as per the Direct Platform Quality initiatives" product roadmap. You will also be required to participate in periodic calls during US or European hours and adhere to coding standards and guidelines. To excel in this role, you should have a minimum of 3 years of hands-on experience in software engineering with a focus on building and deploying applications for data analytics. Proficiency in Python, Object Oriented Programming, SQL, and AWS Cloud is essential, with AWS certification being a plus. Additionally, expertise in big data open-source technologies, Analytics & ML/AI, public cloud services, and cloud-native architectures is required. Experience in working on Data Analytics and Data Quality projects for AMCs, Banks, Hedge Funds, and designing complex data pipelines in a Cloud Environment will be advantageous. An advanced degree in engineering, computer science, or a related field is preferred, along with experience in the Financial Domain. Familiarity with Agile software engineering practices and mutual fund, fixed income, and equity data is beneficial. At Morningstar, we believe in continuous learning and expect you to stay abreast of software engineering, cloud and data science, and financial research trends. Your contributions to the technology strategy will lead to the development of superior products, streamlined processes, effective communication, and faster delivery times. As our products have a global reach, a global mindset is essential for success in this role. Morningstar is committed to providing an equal opportunity work environment. Our hybrid work model allows for remote work with regular in-person collaboration, fostering a culture of flexibility and connectivity among global colleagues. Join us at Morningstar to be part of a dynamic team that values innovation, collaboration, and personal growth.,

As a Technical Solutions Consultant, you will be the primary point of contact for our largest advertising clients and product partners, overseeing the technical aspect of our relationship. You will collaborate with cross-functional teams in Engineering, Sales, and Product Management to implement cutting-edge technologies for external clients. Your responsibilities will range from conceptual design and testing to data analysis and support, ensuring the technical execution and business operations of Google's online advertising platforms and product partnerships. Your role will involve striking a balance between business requirements and technical constraints, developing innovative solutions, and serving as a trusted consultant to your collaborators. You will lead the development of tools and automation products, manage the technical aspects of Google's partnerships, drive product strategy, and prioritize projects and resources effectively. The Google Pixel team is dedicated to enhancing the mobile experience by designing and delivering world-class products. By leveraging advanced designs, technologies, and experiences in consumer electronics, the team aims to shape the future of Pixel devices and services. This involves integrating Google's artificial intelligence, software, and hardware to create transformative experiences for users globally. Your key responsibilities will include: - Developing Extract, Transform, and Load (ETL) processes to automate data collection and reporting tasks using various large-scale distributed data systems. - Creating and reviewing technical and end-user documentation, such as requirements and design documents, data standards, and policies. - Designing, optimizing, and managing data warehouses and reporting systems. - Leading a team of Data Engineers and Business Intelligence Engineers, collaborating closely with Software Engineering teams to design and acquire log-level data. - Designing dashboards, optimizing statistical models, and presenting accurate findings to stakeholders. Your background should ideally include a Bachelor's degree in Science, Technology, Engineering, Mathematics, or related fields, along with at least 9 years of experience in data engineering or data sciences. A Master's degree and proficiency in programming languages like Python or Java would be advantageous. Experience in source control systems, statistical analysis, and modeling will also be beneficial for this role. Additionally, your ability to drive the development of business solutions and infrastructure, translate analysis results into actionable insights, and prioritize tasks effectively will be critical to your success in this position.,

PharmaACE is a growing Global Healthcare Consulting Firm, headquartered in Princeton, New Jersey. Our expert teams of Business Analysts, based across the US, Canada, Europe, and India, provide Analytics and Business Solutions using our worldwide delivery models for a wide range of clients. Our clients include established, multinational BioPharma leaders and innovators, as well as entrepreneurial firms on the cutting edge of science. We have deep expertise in Forecasting, Business Analytics, Competitive Intelligence, Sales Analytics, and the Analytics Centre of Excellence Model. Our wealth of therapeutic area experience cuts across Oncology, Immuno-science, CNS, CV-Met, and Rare Diseases. We support our clients" needs in Primary Care, Specialty Care, and Hospital business units, and we have managed portfolios in the Biologics space, Branded Pharmaceuticals, Generics, APIs, Diagnostics, and Packaging & Delivery Systems. If you are keen to work on analytical problem-solving, then working in the area of advance data analytics/sciences to provide consulting to pharmaceutical clients would be a great fit for you. Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress is a key responsibility. You will also develop client relationships and serve as an offshore key point of contact for the project/account(s). Communication of results to clients and onshore counterparts/team members is essential. Additionally, helping organizations to understand best practices around advanced solutions and providing advice on strategies will be part of your role. Consistently delivering quality client services and driving high-quality work products within expected timeframes and budget is crucial. Interpreting and analyzing both qualitative and quantitative data points, building hypotheses with strong Excel and PowerPoint skills, and thinking in multiple directions of outcomes are important aspects of the position. Monitoring progress, managing risks, ensuring key stakeholders are kept informed about progress and expected outcomes, and analyzing AI/ML algorithms for solving problems are also key responsibilities. Exploring and visualizing data to gain an understanding of it and identifying differences in data distribution that could affect performance when deploying the model in the real world are part of the role. In terms of leadership, you will be responsible for overall leadership, talent development, skill advancement, engagement, and retention of talent in the team. Fostering a learning mindset in the team to proactively develop research and storytelling skills, leveraging multiple sources of data to answer business questions, is important. Developing new capabilities leveraging new sources of data and methods that include segment-level analysis, and providing leadership to help people perform at their best, through motivating and developing them to achieve high performance, are all part of the leadership responsibilities. Qualifications for this role include a Bachelors or Masters in Engineering, a minimum of 10 years of pharma/life science consulting job experience, high motivation, good work ethic, maturity, and personal initiative. Story-building skills are a must, along with strong oral and written communication skills, strong Excel and PowerPoint skills, adherence to client-specific data privacy and compliance policies, knowledge of Deep learning techniques as an added advantage, and knowledge of most commonly used transactional data assets including Volumes/ Value, Rx, Specialty level, Longitudinal Patient level data assets. Other Competencies that would be beneficial for this role include entrepreneurial orientation, excellent interpersonal and communication skills (written and verbal), and innovative and collaborative behavior as a team player.,

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Lead Consultant, Data Scientist In this role, we are looking for candidates who have relevant years of experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms. Full cycle experience desirable in atleast 1 Large Scale Text Mining/NLP project from creating a Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning, Implementation and Change Management, considerable experience in Hadoop including development in map-reduce framework. The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise database teams, and business /functional resources. At a broad level, the TMS will leverage his/her solutioning expertise to translate the customer&rsquos business need into a techno-analytic problem and appropriately work with database teams to bring large scale text analytic solutions to fruition. The right candidate should have prior experience in developing text mining and NLP solutions using open source tools. Responsibilities Develop transformative AI/ML solutions to address our clients%27 business requirements and challenges Project Delivery - This would entail successful delivery of projects involving data Pre-processing, Model Training and Evaluation, Parameter Tuning Manage Stakeholder/Customer Expectations Project Blue Printing and Project Documentation Creating Project Plan Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc. Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap. Work with digital development teams to integrate and transform these algorithms into production quality applications Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers Ensure GenAI outputs are contextually relevant, Familiarity with Generative AI technologies, Design and Implement GenAI Solutions Collaborate with service line teams to design, implement and manage Gen-AI solution Familiarity with generative models, prompt engineering, and fine-tuning techniques to develop innovative AI solutions. Designing, developing, and implementing solutions tailored to meet client needs. Understanding business requirements and translating them into technical solutions using GEN AI Works closely with service line teams to design, implement, and manage Generative AI solution Qualifications we seek in you! Minimum Qualifications / Skills MS in Computer Science, Information systems, or Computer engineering Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms GenAI Tools Certifications in AI/ML or GenAI Technology Open Source Text Mining paradigms such as NLTK, OpenNLP , OpenCalais , StanfordNLP , GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow , MS LUIS Exposure to Statistical Toolkits such as R, Weka, S -Plus, Matlab, SAS-Text Miner Strong Core Java experience in large scale product development and functional knowledge of RDBMs Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing Very good python /R programming skills. Java programming skills a plus AI and GenAI Methodology Solutioning & Consulting experience in verticals such as BFSI, CPG, with experience in delivering text analytics on large structured and unstructured data A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information Retrieval and Extraction, NLG, NLU Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking, Summarization, etc Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client&rsquos analytics agenda with newer tools and techniques Preferred Qualifications/ Skills Technology Expert level of understanding of NLP, NLU and Machine learning/Deep learning methods OpenNLP , OpenCalais , StanfordNLP , GATE, UIMA, Lucene, NoSQL UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3 Linux, Windows, GPU Experience Spark, Scala for distributed computing Deep learning frameworks such as TensorFlow, Keras , Torch, Theano Methodology Social Network modeling paradigms, tools & techniques Text Analytics using Natural Language Processing tools such as Support Vector Machines and Social Network Analysis Previous experience with Text analytics implementations, using open source packages and or SAS-Text Miner Ability to Prioritize, Consultative mindset & Time management skills Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training

Skill required: Analytics - Reporting Analytics Designation: Analytics and Modeling Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years What would you do The Business Intelligence & Analytics (BI&A) function is part of CF Operations under Accenture Operations and is engaged in an ongoing program to support Markets and Services. BI&A team member is part of the team that provides operations support to Markets and Services leadership. He/she will be responsible for delivering data driven analytics to Market/Services leadership. The Analytics and Modeling Specialist will be responsible to deliver analytics to one of the Markets/ Services. S/he will propose and execute a cost-effective analysis to meet the business needs of Biz Ops Leads within the Market/ Service. The key responsibility would involve metrics definition (support), understanding the business requirements, identifying the data sources & requisite fields, establishing and executing the analysis to meet the business needs, and finally, delivering the outcome through the necessary channel. The person is required to focus on developing, modifying, enhancing, and adding value to key deliverables and enable team to support leadership for their review meetings What are we looking for QUALIFICATIONS Any graduate degree (or equivalent) required, full time MBA from tier I or tier II preferred Overall, 6-8 years of work experience; 3 years combined experience in Analytics/Reporting/PMO role strongly preferred Strong knowledge of advanced Excel, PowerPoint and at least one of the data visualization tools such as Power BI Knowledge of SQL, SSRS, Access, VBA will be highly preferred Experience in Data sciences/ predictive analytics with reputed organization is desirable Knowledge of Power Apps is preferred REQUIRED BEHAVIORS AND S Preferably handled projects in the areas of data visualization and analytics Good understanding of dashboards and scorecards for leadership review Strong ability to manage multiple projects simultaneously Analytical skills; detects, analyzes and solves work problems Strong Excel/ PPT/Power BI skill Strong project management skill Ability to be flexible and work with people in different geographies to provide adequate overlap Ability to function as a team player and maintain a good working relationship Attention to detail Innovate to deliver standards which enable speed, efficiency and scale in the business Good communication and collaboration skill Production management oHands on production of reports, scorecards, and other deliverables oCater to multiple requests from stakeholders oOversee and ensure work to completion oResponsible for data accuracy, timeliness, and overall work set up and execute QA process and peer reviews oAct as a back-up of resources to ensure continuity in service delivery Team development oBuild and maintain a positive team environment oCoach, mentor and guide team members Project management oInnovate and deliver additional value to the business through efficient, quality service and continuous improvement Roles and Responsibilities: ACCOUNTABILITIES Business operations support to Services/ Markets including Business Intelligence & Analytics to produce analytics across multiple dimensions of business - Finance, Sales, Talent, Quality, Delivery, external competition and others as needed by the Market/ Service leadership Business insights writing & leadership review materials Driving adoption of Standard Accenture tools Working in an agile way on demand change request, real time support for adhoc reporting requests Project Management requirement gathering, project delivery, track actions, issues and challenges JOB SUMMARY Act as a business partner to Market/ Service Leads, by providing data-driven insights using various analytics and data visualization tools and help run strategic market development initiatives Manage reviews of business results with stakeholders, track challenges and next steps Provide analysis for programs jointly as needed that include pipeline improvement, win/loss, account planning, profitability improvement analysis, chargeability analysis Provide operations support and reporting to leadership to help them run their portfolios, understand key performance metrics and drive performance improvements Enable leadership with required analytics and actionable insights such as budgeting and forecasting for Sales, Revenue, and Headcount planning in close collaboration with Finance and HR teams, identify and investigate deviations and help develop remediation actions Leverage Accenture tools to provide better business insights and help leadership to analyze performance outcome Act as a key contact for all metrics & analytics related matters with a specific focus in supporting business operations reporting and management needs Responsible for coordinating/ preparing dashboards and presentations for regular business reviews Proactive in anticipating the business needs of the business leader and taking actions to support the need RESPONSIBILITIES Strategic leadership oDevelop self as an SME on business analytics and data oCombine strong understanding of Accenture products with business acumen to produce insightful analysis oIdentify opportunities to develop customized solutions to enable business operations processes and fulfill business requirements which cannot be met through Accenture tools Stakeholder engagement oConducting regular update meetings with stakeholders oIdentifying and managing issues and crisis proactively oPartnering with stakeholders to provide data driven business advice Qualification Any Graduation

Developing models: Building and improving mathematical models for trading, forecasting, or data processing Conducting research: Analysing large datasets to identify trends and insights, and conducting research on financial markets and economic conditions Coding Skills: Strong coding skills in Python and other languages Using unconventional data: Using unconventional data sources to drive innovation Translating algorithms: Translating mathematical models into algorithms Managing Risk: Building Mathematical Models to help manage risk of a product or strategy Predictive Modelling: Building Predictive Model based on historical data on Monte Carlo Modelling Pseudo Code: Capability to write Pseudo Code and Python Code to test a mathematical model Systems: Good understanding of trading systems and trade execution process to limit latency and slippages Market Understanding: Good understanding of the Financial and Capital Markets Other Skills: Oversee the development and implementation of investment strategies using mathematical and statistical tools Conversant in the use of AI, ML and LLMs to improve productivity Compliance and Risk Management: Ensure the firms practices comply with SEBI regulations and other relevant legal requirements. Identify mathematical and statistical models for risk management of strategies and products Implement and monitor internal controls to manage and mitigate risks effectively. Qualifications: Bachelors degree in Maths, Master Preferred or Pursuing PhD in Maths Relevant experience in mathematics, statistics, computer science, or finance preferred Minimum of 3-5 years of experience in building mathematical models and Data Sciences Proven ability to develop and execute mathematical models in live market strategies High ethical standards and a commitment to acting in clients' best interests.