3930 R Jobs - Page 33

4+ Years Hands on experience with R software development skills. Responsible for ensuring R skills such as Charting, Data Manipulation, Data types, Evaluation strategies. Architected and developed a cloud-native version of Azure. Developed Python scripts to streamline product installation on customer sites, significantly reducing onboarding time. Improved the products availability by exploring R packages to leverage statistical modeling technologies. Automated integration testing using R development, effectively saving over 4 hours of functional and validation of manual testing time in each sprint. Multiple locations: Pune, Mumbai, Nagpur, Indore, Noida, Gurgaon, Goa, Jaipur, Ahmedabad, Bangalore, Hyderabad, Kolkata

4+ Years Hands on experience with R software development skills. Responsible for ensuring R skills such as Charting, Data Manipulation, Data types, Evaluation strategies. Architected and developed a cloud-native version of Azure. Developed Python scripts to streamline product installation on customer sites, significantly reducing onboarding time. Improved the products availability by exploring R packages to leverage statistical modeling technologies. Automated integration testing using R development, effectively saving over 4 hours of functional and validation of manual testing time in each sprint. Multiple locations: Pune, Mumbai, Nagpur, Indore, Noida, Gurgaon, Goa, Jaipur, Ahmedabad, Bangalore, Hyderabad, Kolkata

The Data Visualization Engineer position at Zoetis India Capability Center (ZICC) in Hyderabad offers a unique opportunity to be part of a team that drives transformative advancements in animal healthcare. As a key member of the pharmaceutical R&D team, you will play a crucial role in creating insightful and interactive visualizations to support decision-making in drug discovery, development, and clinical research. Your responsibilities will include designing and developing a variety of visualizations, from interactive dashboards to static visual representations, to summarize key insights from high-throughput screening and clinical trial data. Collaborating closely with cross-functional teams, you will translate complex scientific data into clear visual narratives tailored to technical and non-technical audiences. In this role, you will also be responsible for maintaining and optimizing visualization tools, ensuring alignment with pharmaceutical R&D standards and compliance requirements. Staying updated on the latest trends in visualization technology, you will apply advanced techniques like 3D molecular visualization and predictive modeling visuals to enhance data representation. Working with various stakeholders such as data scientists, bioinformaticians, and clinical researchers, you will integrate, clean, and structure datasets for visualization purposes. Your role will also involve collaborating with Zoetis Tech & Digital teams to ensure seamless integration of IT solutions and alignment with organizational objectives. To excel in this position, you should have a Bachelor's or Master's degree in Computer Science, Data Science, Bioinformatics, or a related field. Experience in the pharmaceutical or biotech sectors will be a strong advantage. Proficiency in visualization tools such as Tableau, Power BI, and programming languages like Python, R, or JavaScript is essential. Additionally, familiarity with data handling tools, omics and network visualization platforms, and dashboarding tools will be beneficial. Soft skills such as strong storytelling ability, effective communication, collaboration with interdisciplinary teams, and analytical thinking are crucial for success in this role. Travel requirements for this full-time position are minimal, ranging from 0-10%. Join us at Zoetis and be part of our journey to pioneer innovation and drive the future of animal healthcare through impactful data visualization.,

At EY, you will have the opportunity to shape a career that reflects your uniqueness, supported by a global network, inclusive environment, and cutting-edge technology to help you reach your full potential. Your individual voice and perspective are vital in contributing to EY's continuous improvement. By joining us, you will not only create an exceptional journey for yourself but also play a part in building a better working world for everyone. EY GDS's Tax Innovation, Solutions, and Technology (IST) group, along with the Tax Tech Transformation (TTT) team, is dedicated to developing, implementing, and integrating innovative technology solutions that cater better to our clients and engagement teams. As a member of EY's core Tax practice, you will gain in-depth tax technical knowledge and excel in database management, data analytics, and programming skills. The ever-evolving regulatory landscape demands tax departments to handle a vast amount of data more efficiently. Gathering, organizing, and analyzing data to meet complex regulations often involves data from various systems and departments within an organization. Managing this diverse and extensive data can be a significant challenge for companies. As part of EY's GDS IST and TTT teams, you will collaborate closely with partners, clients, and tax experts to develop and integrate technology solutions that enhance value, streamline processes, and equip clients with cutting-edge tools to support their tax needs. Your role will involve applying machine learning techniques to derive actionable insights, coding in Python and R, managing the end-to-end model development process, and designing systems to process large datasets for machine learning applications. You will also work on statistical methods, simulation models, and engage with stakeholders to understand business requirements and present solutions effectively. To excel in this position, you should have at least 2 years of overall experience, with hands-on expertise in Machine Learning and Artificial Intelligence tools like neural networks, deep learning, and regression. Proficiency in programming languages such as R and Python, along with experience in end-to-end ML projects, is essential. A Master's degree in Statistics/Mathematics or a Bachelor's/Master's degree in Science/Engineering/MCA is required for this role. Additionally, exposure to cloud platforms like Azure or AWS and strong communication skills are desirable qualities. EY offers a dynamic and global work environment where you can collaborate with diverse teams on exciting projects, develop new skills, and contribute to building a better working world. Join us at EY and be part of a forward-thinking team that values commercial acumen, technical expertise, and a passion for continuous learning in a fast-paced setting. You will have the opportunity to work with leading businesses across various industries and contribute to EY's mission of creating a better working world through trust, innovation, and inclusive practices.,

The Biostatistician position under the NIHR, Global Health Surgery Research unit on Global Surgery at Christian Medical College & Hospital Ludhiana is a full-time, onsite role requiring a minimum of 1 year of experience in the field. The ideal candidate should hold a Masters or PhD in Biostatistics or related disciplines. You will be expected to demonstrate proficiency in statistical software programs such as SPSS, R, or their equivalents. Additionally, you should possess extensive experience in summarizing and presenting findings in reports, along with a good understanding of biostatistical techniques in clinical trials. Your responsibilities will include authoring statistical analysis plans, developing internal capacity in biostatistics through short courses and seminars, and independently managing all statistical aspects of projects. An excellent grasp of statistical principles for analysis, the ability to handle large data sets, and strong communication skills are essential for this role. Desirable qualifications include experience with SAS, STATA, SPSS, R, and NVIVO. To apply for this position, interested and qualified applicants are required to submit electronic application letters along with their current CVs detailing their experience, qualifications, and providing two reference contacts via email to globalsurgindia@cmcludhiana.in, dhruvghosh73@gmail.com, and hr.office@cmcludhiana.in. Please mention "Biostatistician Position" in the subject line of the email. Only shortlisted applicants will be contacted. This is a full-time position that requires in-person work at the designated location.,

As a visionary Director of Analytics, you will lead our analytics efforts to drive impactful insights and shape the future of consumer experiences. Your role will involve spearheading the use of data to inform strategic decisions across the organization. You will play a pivotal role in designing analytics frameworks, leading a high-performing team, and providing insights that contribute to business growth and customer satisfaction. Your responsibilities will include developing and executing a comprehensive analytics strategy aligned with the company's goals, overseeing the development of advanced analytical models such as predictive modeling, machine learning, and AI, and implementing state-of-the-art analytics tools for efficient data exploration and visualization. You will drive the adoption of a data-driven decision-making culture, collaborate with various teams to embed analytics into key processes, and mentor a diverse team of data analysts, business intelligence professionals, and data scientists. To excel in this role, you should possess a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field. An MBA or equivalent qualification is considered a plus. You should have at least 8 years of experience in analytics, business intelligence, or data science in consumer technology, e-commerce, or a similar fast-paced industry. Strong proficiency in data analysis, predictive modeling, statistical methodologies, data visualization tools (e.g., Tableau, Power BI), and programming languages (e.g., Python, R, SQL) is essential. Experience in integrating AI/ML models into real-world applications, building and leading high-performing analytics teams, and translating complex analytical findings into actionable business insights is required. Strong business acumen, excellent communication, and interpersonal skills are also necessary for effective collaboration with technical and non-technical stakeholders. In this role, you will have the opportunity to stay updated on industry trends and best practices to continuously enhance the analytics capabilities of the organization, providing thought leadership in leveraging AI/ML to develop innovative, data-driven products and solutions.,

As a Business Analyst at PhonePe Limited, you will play a crucial role in the pod strategy by defining critical metrics, monitoring performance trends, and influencing interventions based on performance. You will collaborate closely with the business and product functions to understand the business problem and translate them into the right analytical problem statements. Your responsibilities will include owning the insight generation phase, conducting deep and thorough analysis to provide unbiased answers, and presenting evidence-backed data-driven hypotheses to influence decisions. In this role, you will move beyond being just the "Data person" and contribute with individual thoughts on improving critical metrics for the pod. As an integral part of the team, you are expected to act as the analytics and visualization subject matter expert, ensuring that dashboards are designed and built in a way that facilitates easy consumption of data by the pod. Additionally, you will be responsible for mentoring other analysts in the team, actively participating in the hiring process, and assisting in the onboarding process of new team members. To excel in this position, you should possess a minimum of 4 years of analytics experience in relevant roles, strong problem-solving and analytical skills, and a penchant for business with curiosity to understand how products work. Proficiency in writing complex SQL queries to manipulate and consolidate multiple data sources for dashboarding and analysis is essential. You should have an intuition for data, the ability to handle big data sources, and a strong working knowledge of Excel and visualization tools like PowerBI, Tableau, and QlikView. Knowledge of data-analysis languages such as R, Python, and core statistical concepts is expected. Experience in building ML models is advantageous but not mandatory. Effective communication skills, both verbal and written, are crucial, and candidates who can articulate the story behind their analysis will have an advantage. Joining PhonePe as a full-time employee comes with a range of benefits, including insurance coverage (medical, critical illness, accidental, life), wellness programs, parental support programs, mobility benefits, retirement benefits, and other perks like higher education assistance, car lease, and salary advance policy. If you are a first-principle problem solver who is passionate about working with data and eager to uncover insights that drive business growth, PhonePe is the place for you to bring your best self to work every day and contribute to building platforms that impact millions.,

As a Field Bioinformatics Scientist at MGI, you will play a crucial role in designing, developing, optimizing, and maintaining in-house bioinformatics pipelines and various genomics applications. Your responsibilities will include understanding customer research questions, providing tailored solutions, and addressing technical issues from global sales and customers. You will collaborate with various teams such as FAS, FSE, Product Managers, and R&D to provide feedback, develop customized solutions, and support solution provision. Your role will also involve staying updated on sequencing, bioinformatics, MGI products, and industry trends, evaluating new software/tool suitability for different applications, and applying best-practice statistical and computational methods. Additionally, you will be responsible for providing technical pre-sales and post-sales support services, conducting training sessions and webinars for customers and the front-end sales team, and managing documentations such as training materials, FAQs, slides, videos, SOPs, and knowledge base content. The ideal candidate for this position should hold a Bachelor's degree or higher with at least 3 years of experience in academic or industrial settings in Bioinformatics, Computational Biology, Biostatistics, or Computer Science. You should have expertise in developing next-generation sequencing data analysis methods for DNA, RNA, and Long read analysis, along with proficiency in scripting languages like Python, bash, Perl, C++, and R. Excellent communication skills, the ability to work independently and collaboratively, manage tasks efficiently, and adapt to a fast-paced environment are essential for this role. Experience with version control systems such as Git, a wide range of bioinformatics tools, and proficiency in Linux operating systems like Ubuntu, Fedora, CentOS, etc., will be advantageous. At MGI, we believe in promoting advanced life science tools for future healthcare and transforming lives for the better. We encourage innovation, bold decision-making, and a commitment to improving the world we live in. Join us in leading life science innovation and contributing to a healthier and longer life for everyone. With a focus on transparency, fairness, and a friendly environment, we value our employees as partners and prioritize their physical and mental well-being. Embrace our agile management approach, enjoy independence with guidance, and foster a balanced life-work culture as we strive towards a brighter and more equal future together. #Omicsforall,

As an Advanced Modeling Manager in Sales Excellence COE at Accenture, you play a vital role in utilizing your expertise in machine learning algorithms, SQL, R or Python, Advanced Excel, and data visualization tools to generate business insights. Your primary responsibility is to build models and scorecards that aid business leaders in understanding trends and market drivers, ultimately improving processes and boosting sales. Working within the Center of Excellence (COE) Analytics Modeling Analysis team, you collaborate with various functions like Sales, Marketing, and Finance to collect and process data. Your analytical skills are put to use in developing insights to support decision-making, which you communicate effectively to stakeholders. Moreover, you contribute to developing industrialized solutions in coordination with the COE team. To excel in this role, you are expected to possess a Bachelor's degree or equivalent experience, along with at least five years of experience in data modeling and analysis. Your expertise in machine learning algorithms, SQL, R, or Python, along with proficiency in Advanced Excel and data visualization tools like Power Bi, Power Apps, Tableau, QlikView, and Google Data Studio, is crucial. Additionally, project management experience, strong business acumen, and attention to detail are valued traits. Furthermore, a Master's degree in Analytics or a related field, understanding of sales processes and systems, knowledge of Google Cloud Platform (GCP) and BigQuery, and experience in Sales, Marketing, Pricing, Finance, or related fields are considered advantageous. Familiarity with Salesforce Einstein Analytics, optimization techniques and packages such as Pyomo, SciPy, PuLP, Gurobi, CPLEX, and Power Apps is beneficial for this role. Join us at Accenture, where Sales Excellence thrives on empowering individuals to compete, win, and grow by leveraging data-driven insights and advanced modeling techniques to drive success.,

You are a talented leader with proven experience in Actuarial Analytics, ready to join BRIDGEi2i's Insurance vertical to support a global insurance leader on various innovative analytics projects. You should hold a Graduation/Postgraduation degree in Mathematics, Statistics, Data Science, or Actuarial Science, along with a minimum of 9 years of relevant experience. Your responsibilities will include closely liaising with stakeholders in the client's organization to design and develop innovative solutions using advanced analytical techniques to solve specific business problems. You will manage junior team members and Subject Matter Experts (SMEs), providing technical guidance and oversight while handling your deliverables. Ensuring high quality standards and timely project delivery, along with proactive client engagement, will be crucial aspects of your role. Additionally, you will stay updated with cutting-edge analytics techniques and tools in the evolving field of decision science. Your contribution to solutions and capability development in the insurance practice at BRIDGEi2i will play a significant role in organizational growth. To excel in this role, you should have a proven track record in designing and delivering analytical solutions, particularly in Actuarial Analytics within the Property and Casualty (P&C) insurance domain. Acquired actuarial qualifications (CT-CA levels) from IFoA/SoA/IAI or equivalent are required, along with hands-on experience in Emblem/Radar and strong data manipulation and statistical modeling skills using SAS, SQL, R, or Python. Operational understanding of various RDBMS applications like Oracle, SQL Server, Teradata, etc., is essential. As a self-driven individual, you should have experience in managing a team and working as an individual contributor. Your ability to manage multiple projects and stakeholders simultaneously, adhere to agreed-upon milestones and timelines, and effectively present complex concepts to a non-technical audience will be critical for success in this dynamic environment.,

As a Technical Solution Analyst, you will be responsible for designing, developing, and automating solutions to enhance business processes. Your main tasks will involve working on TS configuration, data preparation, problem-solving, and automation while collaborating with stakeholders to drive efficiency through data-driven insights and technical expertise. It is crucial for you to possess a strong analytical mindset, programming skills, and prior experience in business intelligence and automation tools. In this role, you will: - Develop and configure TSA & TSE solutions tailored to meet business requirements. - Manage TS product configuration and offer troubleshooting expertise. - Prepare, clean, and oversee data for reporting, automation, and analytics purposes. - Utilize analytical and programming skills to identify and resolve technical and business challenges. - Align solutions with business objectives by mapping use cases effectively. - Create tools and automation solutions to optimize processes. - Utilize SQL databases, BI tools (such as Tableau, Power BI, Looker), and ETL/ELT pipelines. - Integrate APIs and create scripts to streamline automation and enhance efficiency. - Collaborate with stakeholders, document technical solutions, and provide support for debugging. To be successful in this role, you should have: - 2-5 years of experience in a similar role involving data, automation, and solution development. - Proficiency in data analysis and visualization. - Strong skills in SQL and database management. - Hands-on experience with BI tools like Tableau, Power BI, and Looker. - Knowledge of ETL/ELT processes for data transformation. - Programming expertise in Python, R, or JavaScript. - Experience with API integration and automation frameworks. - Strong problem-solving and debugging abilities. - Excellent communication with stakeholders and documentation skills. - Previous UI development experience would be a bonus. ThoughtSpot offers a dynamic work environment as the experience layer of the modern data stack, leading with AI-powered analytics and natural language search capabilities. The company values diversity, unique perspectives, and a culture of Selfless Excellence and continuous improvement. ThoughtSpot encourages individuals from all backgrounds to apply, as diversity and inclusivity are essential for innovative solutions and business success. If you are passionate about working with a talented team and contributing to an innovative company, we invite you to explore more about our mission and apply for a role that aligns with your skills and aspirations.,

You will have the opportunity to work as an individual contributor and maintain positive relationships with stakeholders. It is essential to be proactive in learning new skills as per business requirements. Your responsibilities will include extracting relevant data, cleansing, and transforming data to generate insights that drive business value. This will involve utilizing data analytics, data visualization, and data modeling techniques effectively. Your Impact - Strong proficiency in MS PowerBI. - Hands-on experience with MS Azure SQL Database. - Proficient in developing ETL packages using Visual Studio or Informatica. - Skilled in data analysis and business analysis. - Expertise in database management and reporting, particularly in SQL & MS Azure SQL. - Strong critical-thinking and problem-solving abilities. - Excellent verbal and written communication skills. - Review and validate customer data during collection. - Supervise the deployment of data to the data warehouse. - Collaborate with the IT department for software and hardware upgrades to support big data use cases. - Monitor analytics and metrics results. - Implement new data analysis methodologies. - Conduct data profiling to identify and understand anomalies. - Good to have knowledge of Python/R. About You - Possess 2 to 5 years of experience in PowerBI. - Hold a Technical Bachelor's Degree. - Non-Technical Degree holders should have 3+ years of relevant experience. We value inclusion and diversity at Gallagher. It is an integral part of our business, reflecting our commitment to sustainability and supporting the communities where we operate. Embracing the diverse identities, experiences, and talents of our employees enables us to better serve our clients and communities. Inclusion is a conscious commitment, and diversity is recognized as a vital strength. Through embracing diversity in all its forms, we embody The Gallagher Way to its fullest. Equal employment opportunities are extended across all aspects of the employer-employee relationship, including recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. Gallagher is committed to making reasonable accommodations for known physical or mental limitations of qualified individuals with disabilities, unless such accommodations would impose undue hardship on our business operations.,

As an intern at Vumonic, your day-to-day responsibilities will involve extracting and parsing email receipts in HTML and PDF formats to identify key data points. You will be required to develop scripts to convert unstructured data into structured formats such as JSON and CSV. Additionally, you will implement regex, NLP, and AI techniques to enhance data extraction accuracy. Collaborating with the data team, you will refine parsing logic and automate processes. Writing SQL queries to store, retrieve, and manipulate structured data will be part of your tasks. When necessary, you will utilize R for data cleaning, analysis, and visualization. Moreover, you will explore and integrate AI/ML-based approaches to improve data extraction and validation. It is essential to stay updated with the latest advancements in AI, NLP, and data parsing technologies. You will also be responsible for testing, validating, and optimizing data pipelines for scalability. About Company: Vumonic is a provider of global data and market intelligence services that assist companies in making data-driven decisions related to strategy, marketing, sales, investments, and more, ultimately enhancing ROI. Vumonic is a rapidly growing startup in the data analytics field with a flat hierarchy.,

Research Partnership (part of Inizio Advisory) is a renowned pharma market research and consulting agency with a global presence, boasting a team of over 250 professionals including researchers, consultants, project managers, and support staff spread across Europe, North America, and Asia. As a valued member of our diverse and skilled team, you have the opportunity to contribute to the advancement of health and life sciences by working in a collaborative environment that prioritizes making a positive impact on human health, embracing shared values, and putting people at the core of all endeavors. As an Analytics Manager within our esteemed organization, you will play a pivotal role in a significant Brand Equity tracking project for a regional client covering multiple Therapy Areas in various Asia Pacific markets. Reporting to the Analytics Director in the UK, you will have the chance to leverage your expertise in programming, particularly in MS Excel VBA, and statistical skills using tools like SPSS, R, and Q to conduct analyses. In addition to supporting the research executives in understanding statistical and digital methodologies, you will actively contribute to all stages of project progression, making a substantial difference in shaping the client's brand strategies. Joining our dynamic Gurugram hub office as part of the global custom research team, you will collaborate closely with Directors based in the UK to deliver innovative solutions to global pharmaceutical and biotech clients. Your primary responsibilities will revolve around delivering statistical analysis using primary market research data, advising on sample size and questionnaire design, and building Excel tools for various studies. Moreover, you will engage in department-wide training initiatives to enhance analytical techniques awareness, liaise with data teams, respond to statistical queries, interpret analysis results, and support senior researchers in client-facing activities. To excel in this role, you should possess a minimum of 5 years of practical experience in data science, market research advanced methods, or digital analytics, with expertise in SPSS, R, and additional tools like Python and Xlstats being highly beneficial. Your experience in Key Drivers Analysis, SEM, Segmentation, Conjoint analysis, and similar methodologies is crucial, with exposure to healthcare being an added advantage. Being proactive, detail-oriented, collaborative, and possessing strong communication skills are key attributes that will contribute to your success in this role. At Research Partnership, we foster a culture of innovation, continuous learning, and personal development. We provide a supportive and friendly work environment, comprehensive training programs for all staff, opportunities for international collaboration and travel, and a platform for career progression and skill development. Join us at Research Partnership, a part of Inizio Advisory, and become a part of a team dedicated to transforming science into strategy for pharmaceutical and life science companies. Embrace the opportunity to create long-term value for clients and patients, while enjoying a fulfilling and rewarding career in a diverse and inclusive workplace. This full-time role offers flexibility with a hybrid working pattern, based in Gurugram, with working hours from 11:00 to 20:00 IST to align with our European offices. If you are enthusiastic about this role and believe you can make a positive impact, we encourage you to apply, even if you do not meet every job requirement, as we are committed to building a diverse and inclusive workforce where your unique skills and experiences are valued.,

DBS Global University is a leading institution that values academic excellence, research, and innovation. We strive to empower our students with cutting-edge knowledge and skills to thrive in the ever-evolving business landscape. We are looking for a dedicated and knowledgeable professional to join our esteemed faculty team and contribute to the growth of our Business Analytics program. We are seeking an experienced and enthusiastic Faculty Member in Business Analytics to deliver high-quality instruction, mentor students, and contribute to curriculum development. The ideal candidate will possess a strong foundation in Business Analytics and its applications in real-world business scenarios. Key Responsibilities - Develop and teach undergraduate and/or postgraduate courses in Business Analytics, including topics such as data analysis, statistical modeling, machine learning, and data visualization. - Design and implement innovative teaching strategies to enhance student learning and engagement. - Supervise student projects, internships, and research work related to Business Analytics. - Collaborate with colleagues to continuously improve the curriculum and academic offerings. - Conduct research and contribute to the academic community through publications and conferences. - Participate in academic and administrative activities, including faculty meetings and institutional committees. Qualifications - An MBA degree is a must. MBA with BTech will be preferable. - A strong academic or industry background in Business Analytics, with hands-on experience in data-driven decision-making. - Proficiency in analytical tools and programming languages such as Python, R, SQL, Tableau, or Power BI. - Prior teaching experience in higher education is highly desirable. - Excellent communication, presentation, and interpersonal skills. - A passion for teaching and mentoring students. Why Join Us - Opportunity to work in a dynamic academic environment. - Access to state-of-the-art resources and facilities for teaching and research. - Competitive salary and benefits package. - Support for professional growth and research endeavors.,

Genpact is a global professional services and solutions firm focused on delivering outcomes that shape the future. With over 125,000 employees in 30+ countries, we are driven by curiosity, agility, and a commitment to creating lasting value for our clients. Our purpose, the relentless pursuit of a world that works better for people, guides us as we serve and transform leading enterprises, including the Fortune Global 500, leveraging our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are seeking applications for the role of Associate, Data Analyst. As an Associate, you will play a key role in pricing spare parts and driving data analytics for the business. Your responsibilities will include reviewing pricing periodically, identifying gaps, and providing recommendations. Responsibilities: - Perform data extraction, collation, and cleaning using MS Excel/Access. - Ensure pricing data in ERP systems is up to date by identifying and executing necessary activities. - Handle ad hoc pricing analytics requests. - Conduct statistical and pricing analysis using Excel/Access. - Drive process efficiencies through digitization and the implementation of machine learning algorithms. - Support clients on data systems and analysis. - Utilize statistical tools to sanitize, segment, and normalize historical pricing information and master invoice datasets for price rate distribution visibility. Qualifications: Minimum qualifications: - Master's degree in research, statistics, math, economics, or related analytical discipline. - Freshers from reputable institutions or individuals with 2 years of relevant work experience in the data analytics domain. - Curiosity and eagerness to learn. Preferred qualifications: - Proficiency in analytical and presentation tools such as Excel, VBA, and PowerPoint. - Strong analytical skills with the ability to analyze and leverage large data sets for key business decisions. - Good understanding of basic statistics. - Positive attitude and a proactive approach. - Knowledge of R, Python, Tableau, and Power BI is advantageous. This is a full-time Associate position based in Jaipur, India. The ideal candidate will have a Bachelor's degree or equivalent. If you meet the qualifications and are excited about the opportunity to work in data analytics, we encourage you to apply. Thank you for considering a career with Genpact.,

Model Risk Management (MRM) is part of the Global Risk Management of Citi and is responsible for Independent Oversight of models across the firm. Citi is seeking a Vice President to join the System Strategy and Oversight Team within Model Risk Management Inventory & Initiative Management Group. The role requires experience in Risk management, SDLC, Waterfall, Iterative and Agile methodologies, and expertise in Project Management and Governance. Experience in process reengineering, business architecture, simplification, controls and UAT. Experience in developing solutions driving automation of Gen AI/ modeling tools or building reporting frameworks would be a big plus. Familiarity with FRB's Supervisory Guidance on MRM SR 11-7 and 15-18. The MRM System Strategy & Oversight (SSO) Lead will be responsible to drive reengineering of MRMS, the Citi Model Risk Management System in line with Model Risk Management Policy and Procedures and overall Model Risk system strategy. They will translate policies, procedures, and guidelines into process maps and concrete tasks, identify dependencies, decision points, actors, opportunities for streamlining, etc., and build system solutions to support. The role involves collaborating with various stakeholders both within and outside Risk management to identify, streamline, simplify, and implement model life cycle processes in MRMS. The responsibilities also include authoring Business requirements, re-engineering processes and system solutions to drive simplification and automation, liaising with IT partners to build effective system solutions, and partnering with validation and development groups to drive integration of metrics and documentation digitization, Gen AI POCs with MRMS target state. The ideal candidate should have 12+ years of working experience with 5+ years in product development or equivalent role. They should be familiar with O&T developing cycle as well as with model risk management or similar. Experience in supporting cross-functional projects with project management, technology on system enhancements is required. Additionally, knowledge/experience with process design, database design, and high proficiency in SQL are essential. Institutional knowledge/experience with Citi platforms/application is preferred. Strong interpersonal skills, project management skills, and experience with Python, R, other programming languages for implementing POCs are desired. Expert level knowledge at MS Excel for data analytics including VBA skills; MS PowerPoint for executive presentations; MS Word for business documentation; MS Visio for process flows and swim lane are also expected. A Bachelor's degree in finance, mathematics, computer science or related field is required, with a Master's Degree being preferred. Working at Citi means joining a family of more than 230,000 dedicated people from around the globe. It offers the opportunity to grow your career, give back to your community, and make a real impact. If you are looking to take the next step in your career, consider applying for this role at Citi today.,

As a Quantitative Researcher at our firm, you will be an integral part of the growing team in the Quantitative Strategies Central Research group. Your main responsibility will involve developing alpha signals for global equities and futures markets by utilizing advanced mathematical and statistical techniques, along with your exceptional problem-solving skills. You will be based in India, with the option to work from Mumbai, Delhi, or Gurgaon. Your primary tasks will include analyzing datasets using machine learning, statistical, applied math, and econometric techniques. Additionally, you will be tasked with developing predictive signals for financial markets, rigorously testing models, and creating trading algorithms for the profitable implementation of these models. To ensure continuous learning and growth, you will also review academic literature and participate in relevant conferences focusing on areas such as empirical finance, market microstructure, machine learning, and computational statistics. To excel in this role, we are looking for candidates with a Bachelors, Masters, or Ph.D. degree in Mathematics, Computer Science, Statistics, Physics, Electrical Engineering, or a related field. A proven track record of excellence in your specialized area, along with experience in machine learning and statistical applications, will be advantageous. Notably, prior experience in the investment field is not mandatory. Proficiency in at least one major programming language such as C/C++, Java, or Python is a must. Additionally, having statistical programming skills using Python, R, or Matlab will be considered a bonus. The target start date for this position is as soon as possible. If you are excited about this opportunity and believe you are the right fit for this role, please submit your resume to india.quant.talent@mlp.com and reference REQ-11568.,

You should have 3-5 years of experience in a data-driven role, preferably within a contact center or operations environment. It is essential to have experience with a Workforce Management (WFM) tool like Aspect, IEX, Calabrio, or Verint. Your expertise should include data analysis and visualization, with proficiency in at least one of the following: R, Python, or SQL. Furthermore, you must have experience in building automated solutions and scripting. A strong understanding of scheduling principles and workforce management concepts is required for this role. Your communication and collaboration skills should be excellent, with the ability to present complex data to both technical and non-technical audiences. Additionally, you should be capable of explaining key contact center terms such as Erlang C, Schedule Efficiency, and Shrinkage (Unplanned vs planned).,

You will be joining Tata Insights and Quants, a newly established division by Tata Industries, as a Data Science Optimization Analyst Associate - Senior Associate. This role is an individual contributor position with opportunities available in Mumbai, Bangalore, Jamshedpur, and Kalinga Nagar. Your main responsibilities will include applying Optimization/Simulation algorithms using various tools to enhance process efficiency in different business functions. You will be tasked with analyzing intricate business problems and technical environments to design effective solutions. Additionally, you will be required to convert business problems into mathematical models using techniques like Linear/Mixed Integer Programming and apply Optimization/Simulation algorithms such as Simplex, Interior Point, Cutting Plain, Dynamic Program, etc. Furthermore, you will build mathematical optimization models using tools like AIMMS, CPLEX, GLPK, and lead Proof of Concepts to demonstrate outcomes quickly. It will be essential to document use cases, solutions, and recommendations, work in an agile development environment, and collaborate with various teams to implement models and monitor outcomes effectively. To excel in this role, you should have experience in Manufacturing, Aviation, and Logistics, along with a minimum of 3 years of work experience in optimization, simulation, and data science. Proficiency in using AIMMS, CPLEX, GLPK, GUROBI, building Predictive models, and familiarity with Python and R will be advantageous. A Bachelor's or Master's degree in Operations Research, Mathematics, Statistics, Industrial Engineering, or related disciplines with significant experience in mathematical optimization is required. If you are passionate about leveraging data analytics to drive business improvements and are excited to work in a dynamic and fast-paced environment, this role at Tata Insights and Quants could be an excellent fit for you. Feel free to reach out to us at careers@tataiq.com to explore this opportunity further.,

As an experienced professional with 8-12 years of experience in Database technologies, scripting, BI tools, and Data Science, you will be responsible for understanding customer requirements, documenting technical designs, and developing ETL jobs, reports, dashboards, and data marts. You will play a key role in translating business requirements into effective designs and implementing solutions using a variety of tools and technologies. Your responsibilities will include: - Understanding customer requirements, problem statements, and business use cases. - Documenting customer requirements and technical designs. - Developing and testing ETL jobs, query objects, data marts, reports, and dashboards. - Designing OLAP cubes, SQL reports, interactive charts, and dashboards. - Writing stored procedures, functions, packages, scripts, and complex SQL queries. - Reviewing existing report designs, database schemas, and SQL code to enhance performance and operational aspects. - Collaborating closely with customers for solution fine-tuning and troubleshooting production issues. - Monitoring tasks efficiently and providing status reports to senior management, customers, and stakeholders. - Demonstrating problem analysis and resolution skills, including debugging at the OS, database, or network level if necessary. - Possessing an understanding of cloud deployment architecture and Big Data platforms as an added advantage. To excel in this role, you must have hands-on experience with various database technologies such as Oracle, MS SQL Server, MySQL, and PostgreSQL. Additionally, proficiency in scripting languages like Java, Python, and R is required. Experience with contemporary reporting and BI tools like Crystal Reports, Tableau, and PowerBI is essential. Knowledge of ETL platforms like Informatica and SSIS, as well as data modeling and data warehouse design, is crucial. Your expertise in data science, AI, and ML will be utilized for designing and implementing data-driven use cases. Strong communication skills, problem-solving abilities, and familiarity with project management concepts and Agile delivery methodology are necessary for successful project execution. If you are seeking a challenging opportunity to leverage your technical skills and contribute to innovative solutions in the field of data analytics and business intelligence, this role offers a dynamic environment where you can thrive and make a significant impact.,

The Life & Annuity Predictive Analytics (LAPA) business unit at Milliman is a dynamic and diverse team of professionals specializing in data science. As part of LAPA, you will have the opportunity to work with a talented group of individuals including data scientists, data engineers, software developers, and actuarial experts. Together, we strive to help insurers and distributors of life and retirement products leverage data to enhance their competitive edge and financial performance. In this role, you will take on the responsibility of leading industry studies for the LAPA team. Your duties will include overseeing the end-to-end process of data collection, development, testing, deployment, and maintenance of data processing and analytics infrastructure. Additionally, you will be involved in modeling analytics, analyzing results, and preparing comprehensive reports. Key Responsibilities: - Lead policyholder experience studies and direct analysts in preparing study data - Provide expertise in the life and annuity domain and represent Milliman in client interactions - Coordinate project tasks with the technical team and perform statistical methods assessments - Lead the preparation of client reports and relevant marketing materials Qualifications: - Bachelor's degree in a quantitative field (MS preferred) such as Computer Science, Actuarial Science, Engineering, Statistics/Mathematics, or Data Science - Minimum of 5 years of relevant work experience with at least 2 years in an experience analysis or assumption setting role - Membership in a recognized Actuarial institute (e.g., IFoA, IAI, SOA) - Proficiency in common data analysis tools (e.g., Python, R, SASS, SQL) and familiarity with predictive modeling and statistical methods Desired Skills: - Experience in leading project teams and a background in the life and annuity industry - Ability to thrive in a fast-paced environment with a client-centric focus - Strong critical thinking, decision-making, and communication skills - Demonstrated reliability, dedication to quality work, and the capability to articulate ideas clearly - Comfort working both independently and collaboratively while managing competing priorities and deadlines Additional Skills to Develop: - Aptitude for quantitative and critical thought - Experience with cloud-based computing platforms (e.g., Databricks) and analytical programming using spark-based languages (PySpark, SparkSQL) At Milliman, we are committed to our mission of protecting the health and financial well-being of individuals worldwide. Our core values of Quality, Integrity, and Opportunity guide our actions and interactions with clients and colleagues. Through a focus on Collaboration, Communication, People Development, Innovation, and fostering a Positive Culture, we continuously strive for excellence in our work. Diversity, Equity & Inclusion is a key focus for our practice, and we value inclusivity as a business imperative. We expect all team members to contribute to a culture of belonging and support initiatives that promote diversity within our organization. As a professional at Milliman, you are encouraged to embody a client-centric mindset, exceed job expectations, and engage in administrative responsibilities to support the smooth operation of our Practice. Your dedication to exceptional client service, continuous improvement, and adherence to professional standards will contribute to your career growth and success within our team.,

We are looking for a highly analytical and experienced Data Scientist to join our team. As a Data Scientist, you will be responsible for analyzing large datasets, identifying trends, and building data products to extract valuable business insights. If you have a passion for turning raw data into actionable intelligence and possess strong analytical and problem-solving skills, we invite you to apply. Your responsibilities will include identifying valuable data sources and automating collection processes, implementing NLP algorithms for extracting insights from unstructured data, preprocessing structured and unstructured data, exploring innovative deep learning approaches, analyzing information to discover trends, building predictive models and machine-learning algorithms, utilizing ensemble modeling techniques, presenting information using data visualization, and proposing solutions to address business challenges. Collaboration with engineering and product development teams will be key. To be successful in this role, you should have proven experience as a Data Scientist, expertise in applying machine learning, NLP, computer vision, and deep learning techniques, proficiency in programming languages such as R, SQL, and Python, experience with business intelligence tools and data frameworks, strong math skills, exceptional problem-solving aptitude, and excellent communication and presentation skills. A B.Tech in Computer Science or a related quantitative field is preferred.,

The company Ideapoke is a global, fast-growing start-up with a presence in Bengaluru, Bay Area, Tokyo, and Shanghai. Their software, search, and insights drive innovation for Fortune 500 and Global 2000 companies worldwide. Ideapoke's growth is attributed to its dedicated team, committed to the company's vision and characterized by a strong work ethic and an entrepreneurial spirit. The company values continuous learning, growth, and making a difference, inviting individuals to join their journey. As a Lead Artificial Intelligence at Ideapoke, you will be responsible for collaborating with researchers and engineers across various disciplines to develop advanced data analytic solutions. Your role will involve working on large datasets, mapping business requirements into AI products, and evaluating algorithm performance based on real-world data sets. You will be required to mine data from various sources, design and implement machine learning algorithms, and optimize existing algorithms for accuracy and speed. Additionally, you will be expected to research and implement technical solutions in deep learning for real-world challenges. To excel in this role, you are required to hold a Ph.D., Master's degree, B.Tech, or B.E. in Computer Science, Statistics, Mathematics, Engineering, or related fields. You should possess 10 to 12 years of academic or professional experience in Artificial Intelligence, Data Analytics, Machine Learning, Natural Language Processing, or related areas. Technical proficiency in Python, Java, R, XML parsing, Big Data, NoSQL, and SQL is essential for this position. Moreover, you should have a strong mathematical and statistical background, enabling you to understand algorithms and methods from a mathematical and intuitive perspective. The ideal candidate for this role will be a self-starter with the ability to manage multiple research projects. You should have a flexible approach to learning new skills, be a team player, and possess strong communication skills. Your role will involve establishing scalable and efficient processes for model development, validation, implementation, and large-scale data analysis in a distributed cloud environment. By joining Ideapoke, you will contribute to the company's innovative culture and work towards amplifying success for both the organization and its clients.,

You are an experienced data scientist with 11-12 years of experience in the field. You possess expert knowledge of statistics and probability theory along with proficiency in at least one programming language such as Python, R, or SQL. Your experience includes working with reinforcement learning and GenAI, as well as an expert understanding of machine learning algorithms and models. You have advanced knowledge of data cleaning and preprocessing techniques and are skilled in data analysis and interpretation. Your strong communication and presentation skills enable you to effectively convey complex technical concepts to various stakeholders. In addition, you have experience in leading and managing teams, making you a valuable asset in collaborative environments. Your preferred domain is telecom, where you have demonstrated your expertise in applying data science techniques to solve industry-specific challenges. Your primary skillset lies in data science, with additional skills in Python and data science, making you a well-rounded professional in the field.,