6 Data Sciences Jobs

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.