3930 R Jobs - Page 32

Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

About The Role The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The candidate must be able to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, the candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Roles and responsibilities: 1.Hands-On Data Analysis & Insights Generation Perform in-depth, hands-on analysis of business data to uncover trends, opportunities, and risks affecting KPIs such as conversion rates, sales, customer retention, and operational efficiency. Independently query, extract, and manipulate large datasets using SQL to answer complex business questions. Use statistical techniques and advanced analytics methods (e.g., predictive modeling, segmentation) to support strategic decision-making. 2. Business-Driven Recommendations & Impactful Storytelling Translate raw data into actionable insights and develop clear, compelling recommendations for business teams. Drive measurable improvements in business performance by identifying optimization opportunities across marketing, operations, sales, and product functions. Excellent communication is non-negotiableyou must be able to simplify complex data, build strong narratives, and effectively present insights to non-technical stakeholders and senior executives. 3. Data Visualization & Reporting Design, develop, and automate scalable reports and dashboards using Power BI to track and communicate business performance. Ensure data accuracy, consistency, and clarity in reports to empower teams to make informed decisions. Provide real-time insights and deep dives to address business challenges proactively. 4. KPI Management & Performance Optimization Collaborate with business teams to define, refine, and monitor key business KPIs. Actively track performance metrics, diagnose variances, and suggest corrective actions. Continuously optimize analytics processes to enhance efficiency and accuracy. 5. Cross-Functional Business Partnership Serve as a trusted analytics partner across marketing, operations, sales, and product teams. Work closely with stakeholders to understand business needs, translate data into actionable strategies, and influence decision-making. Effectively communicate technical findings in a clear and compelling way to both technical and non-technical audiences. 6. Process Improvement & Best Practices Identify opportunities to imp rove data workflows, analytics processes, and reporting efficiencies. Advocate for a data-driven culture by proactively sharing insights and best practices across teams. Technical and Functional Skills: Bachelors degree in Analytics, Data Science, Business, Statistics, or a related field. Advanced degrees are a plus. 6+ years in analytics, business intelligence, or insights roles, preferably in retail or eCommerce. Advanced proficiency in SQL for querying and analyzing large datasets. Strong experience in Python & Excel. Preferable to work onCRM data. Hands-on experience in creating dashboards and reports using Power BI or similar visualization tools. Excellent verbal and written communication skills with the ability to translate data insights into clear, actionable recommendations. Proven ability to present insights and recommendations to diverse audiences, including senior executives Familiarity with analytics tools such as R, or Tableau, Adobe Analytics, Google Analytics is good to have Experience in eCommerce metrics, such as website traffic, customer journey analysis, or digital marketing performance. Knowledge of advanced analytics techniques like predictive modeling or segmentation. Demonstrated ability to independently lead analytics projects from ideation to execution. Strong business acumen and a deep understanding of how analytics can drive organizational value. Exceptional problem-solving and critical-thinking abilities. A proactive and collaborative mindset, with a focus on continuous improvement

Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data analysis systems and reports. Conduct thorough research and analysis to inform business decisions. Identify trends and patterns in large datasets to drive business growth. Provide expert-level support for data-related queries and issues. Develop and implement process improvements to increase efficiency and productivity. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills with attention to detail. Ability to work effectively in a fast-paced environment with multiple priorities. Strong communication and interpersonal skills for effective collaboration. Experience with data analysis tools and technologies, such as Excel or SQL. Strong organizational and time management skills to meet deadlines.

Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data analysis systems and reports. Conduct thorough research and analysis to inform business decisions. Identify trends and patterns in large datasets to drive business growth. Provide expert-level support for data-related queries and issues. Develop and implement process improvements to increase efficiency and productivity. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills with attention to detail. Ability to work effectively in a fast-paced environment with multiple priorities. Strong communication and interpersonal skills for effective collaboration. Experience with data analysis tools and technologies, such as Excel or SQL. Strong organizational and time management skills to meet deadlines.

Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

We are looking for a highly skilled and experienced Analyst to join our team at eClerx Services Ltd. The ideal candidate will have a strong background in IT Services & Consulting, with excellent analytical skills and attention to detail. Roles and Responsibility Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data analysis systems and reports. Conduct thorough research and analysis to inform business decisions. Identify trends and patterns in large datasets to drive business growth. Provide expert-level support for data-related queries and issues. Develop and implement process improvements to increase efficiency and productivity. Job Requirements Strong understanding of IT Services & Consulting principles and practices. Excellent analytical and problem-solving skills with attention to detail. Ability to work effectively in a fast-paced environment with multiple priorities. Strong communication and interpersonal skills for effective collaboration. Experience with data analysis tools and technologies, such as Excel or SQL. Strong organizational and time management skills to meet deadlines.

About The Role R&S PDI / Migration Required Skills (Must Have and should meet all the below standards for qualifying to this role) Experience with at least 3 product lines like Catalyst 9000/6500/4500/3850/6800/ASR1K. Engineer must be experienced in and have internal product and/or Architecture knowledge. Experience with at least one - Nexus 7K/5K/2K product lines will be an added advantage. Working knowledge and experience BGP, OSPF, ISIS, IP/MPLS, QoS, Multicast is a definite plus. Experience Implementing /Supporting Layer 2, Layer 3 implementations will be key. Hands-on experience in Installation, Configuration and troubleshooting and/or Network Solution designing of Cisco Routers and switches. Executing Migration windows and migration projects will be a plus. Must have hands-on experience of 5-7 years on Cisco (CSCO) products A good communications skill is a must. Must have a demonstrated ability to relate to customer representatives at various levels. Must have good technical writing skills and have experience in writing test and implementation / Migration plans. Skills and experience in working independently. Strong interpersonal and teamwork needed

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. Associate Process Manager Role and responsibilities: Understand business problem and requirements by building domain knowledge and translate to data science problem. Conceptualize and design cutting edge data science solution to solve the data science problem, apply design-thinking concepts. Identify the right algorithms, tech stack, sample outputs required to efficiently adder the end need. Prototype and experiment the solution to successfully demonstrate the value. Independently or with support from team, execute the conceptualized solution as per plan by following project management guidelines. Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization. Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development, and practice development initiatives. Technical and Functional Skills: Bachelors degree in Computer Science with 4 to 6 years of work experience. Must have experience in Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, Python, decision tree, random forest, SAS, clustering classification. Ability to engage clients to understand business requirements and convert the same into technical/modelling problems for solution development. Demonstrate strong interpersonal skills and a comfort interacting with clients from the C-suite to marketing managers to technical specialists. Demonstrated knowledge of analytical/statistical techniques and their applications; a working knowledge of/experience in R and Python is a plus. Demonstrated excellent communications skills, both written and spoken, as well as being able to explain complex technical concepts in plain English. Ability to present results of statistical models in business language. Domain understanding of at least one preferably two verticals amongst Retail, Cable, Technology (not mandate). Knowledge of data visualization tools (Tableau, QlikView, etc.) is a plus. Demonstrate strong analytical and storytelling skills and the ability to find relevant stories from piles of reports. Ability to manage specific tasks to completion with minimal direction. Ideal candidate has been in a consulting role previously. Hands-on expertise on the applied statistical techniques including multi-variate regression, logistic regression, market-mix models, clustering, classification, survival, churn models, speech analytics, image analytics, etc. Ability to collaborate with onsite colleagues in the US & UK. Expert in handling large data, cleansing & preparation for modelling. Very high attention to detail and quality.

4-6 years of experience in ETL development using Knime and data visualization with Power BI or Tableau. Key Responsibilities: ETL Development: Build and optimize ETL workflows using Knime for data extraction, transformation, and loading from various sources (databases, APIs, flat files, cloud services). Data Transformation Cleansing: Use Knime nodes (e.g., Joiner, GroupBy, Pivoting) for data cleaning, preprocessing, and transformation to ensure high data quality. Data Integration: Integrate data from relational, NoSQL databases, and cloud platforms (AWS, Azure, Google Cloud). Data Visualization: Create interactive dashboards and reports using Power BI or Tableau to visualize key business insights. Automation Optimization: Automate workflows using Knime Server, and optimize ETL processes for performance and scalability. Collaboration: Work with cross-functional teams to understand business needs and deliver actionable data insights. Required Skills: Strong experience with Knime for building ETL pipelines, data integration, and transformation. Proficiency in Power BI or Tableau for designing data visualizations and dashboards. Advanced SQL skills for querying and transforming data. Experience with Knime Server for workflow automation. Familiarity with cloud platforms like AWS, Azure, or Google Cloud for data storage and processing. Knowledge of Python or R for advanced data processing within Knime. Educational Requirements: Bachelors degree in Computer Science, Data Science, or a related field.

Join a team where you can play a crucial role in shaping the future of a world-renowned company and make a direct and meaningful impact in a space designed for top performers. As a Senior Lead Security Engineer at JPMorgan Chase within the Cybersecurity Tech Controls team you are an integral part of an agile team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention, and malicious behavior. Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains. Job responsibilities Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code, and reviews and debugs code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in one or more areas of focus Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, equity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on Security engineering concepts and 5+ years applied experience Proficient in AI/ML techniques and skilled in advanced analytics. Implement machine learning models and algorithms to solve complex business problems. Developing predictive models and machine learning algorithms. Strong proficiency in programming languages such as Python, R, and Java. Familiarity with cloud platforms (eg, AWS, Azure, GCP). Preferred qualifications, capabilities, and skills Java, Kubernetes and AWS certification is a plus. Experienced with modern frontend frameworks and libraries like React is a plus Experienced in writing unit tests in Java and React JS for complex enterprise environments Database skills preferably with Oracle DynamoDB and experience in tuning database queries, processing large amount of data will be great addition.

Salary : 30 to 45 LPA Exp: 6 to 10 years Location :Hyderabad (Hybrid) Notice: Immediate to 30 days..!! Roles & responsibilities: 5+ years exp on Python , ML and Banking model development Interact with the client to understand their requirements and communicate / brainstorm solutions, model Development: Design, build, and implement credit risk model. Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems 5+ years exp on ML/Python (predictive modelling) . Design, implement, test, deploy and maintain innovative data and machine learning solutions to accelerate our business. Create experiments and prototype implementations of new learning algorithms and prediction techniques Collaborate with product managers, and stockholders to design and implement software solutions for science problems Use machine learning best practices to ensure a high standard of quality for all of the team deliverables Has experience working on unstructured data ( text ): Text cleaning, TFIDF, text vectorization Hands-on experience with IFRS 9 models and regulations. Data Analysis: Analyze large datasets to identify trends and risk factors, ensuring data quality and integrity. Statistical Analysis: Utilize advanced statistical methods to build robust models, leveraging expertise in R programming. Collaboration: Work closely with data scientists, business analysts, and other stakeholders to align models with business needs. Continuous Improvement: Stay updated with the latest methodologies and tools in credit risk modeling and R programming.

JD for Lead - Data Analytics. Experience - Minimum 8+ years in Model Development / Data Science Roles with Post Graduation Company - Aditya Birla capital Ltd Location - Goregaon. Job Summary: We are seeking an experienced and visionary Lead of Data and Analytics to lead our data-driven initiatives and drive strategic decision-making within our organization. As a key member of the leadership team, you will oversee the development, implementation, and management of our data and analytics strategy. You will play a pivotal role in transforming our data into actionable insights that enhance our business performance, improve customer experience, and drive innovation in our financial products and services. Key Responsibilities: 1. Strategic Leadership: - Develop and execute a comprehensive data and analytics strategy aligned with the organizations business goals. - Drive a data-driven culture across the organization by promoting the use of data and analytics in decision-making processes. 2. Data Management: - Oversee the collection, storage, and management of data from various sources, ensuring data quality and integrity. - Implement data governance frameworks and best practices to ensure compliance with regulations and industry standards. 3. Analytics and Insights: - Lead the analytics team in performing advanced analytics, including predictive modelling, risk modelling & assessment, and customer segmentation Analytics. - Transform complex data into easy-to-understand insights and actionable recommendations for stakeholders. 4. Collaboration: - Work closely with cross-functional teams, including marketing, risk management, finance, and operations, to address business challenges using data insights. - Collaborate with IT teams to ensure the proper infrastructure and tools are in place for effective data collection and analysis. 5. Team Leadership: - Build and lead a high-performing data and analytics team, fostering a culture of continuous learning and development. - Mentor and guide team members in utilizing advanced analytics techniques and tools. 6. Stakeholder Engagement: - Present findings and recommendations to senior management and stakeholders, translating technical information into clear business language. - Engage with external partners and industry experts to stay updated on emerging trends and technologies in data and analytics. 7. Performance Metrics: - Define key performance indicators (KPIs) to measure the effectiveness of data initiatives and analytics programs. - Monitor and report on the progress and outcomes of analytics projects.

- Experience in computational biology and bioinformatics related areas is a must. - MS/PhD in Bioinformatics, Biostatistics, Mathematics, Computer Science, Computational biology or similar, with a strong publication record. - A strong understanding of statistical principles behind the current best practices in computational biology - Experience in computational biology and bioinformatics related areas is a must. - A strong understanding of statistical principles behind the current best practices in computational biology - Proven experience in drug discovery and development is essential preferably in industrial setting - Expertise in the use of a high-level programming language such as R, Python or Perl for complex data analysis. - Programming, web application programming, or relational database experience are pluses. - Proven expertise in defining and validating computational approaches to generate hypotheses using multivariate, Bayesian and machine learning approaches - Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods and tools.

Job Title Growth Analyst in Paytm Travel Designation Junior Manager Experience - 2-4 Years About Us Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm's mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the Team Paytm Travel has revolutionized the travel industry - intending to empower millions of travelers who choose us as their preferred travel partner. Being one of the largest travel platforms in the country, we aim to not only ensure seamless, instant booking, but also a delightful journey. We strive to enrich the customer experience by making every transaction transparent, honest, and hassle-free. To stay ahead of the curve, we are working aggressively towards our ambition to make travel affordable for all. With this customer centricity at our core, we strive to make Paytm Travel synonymous with trustworthy travel partners. Requirements You are a dynamic problem solver, driven by a passion for data and the compelling narratives it reveals. Constantly challenging the status quo, you possess a keen ability to understand and navigate its complexities. 3-5 Years of experience working as Growth Analyst/Business Analyst in an e-commerce or similar domain (Mandatory). Graduates/Post Grads from Tier 1/2 colleges with Engineering, Management/ Finance background are preferred. Strong working knowledge in SQL, Excel, and visualization tools like Looker, Tableau. Understanding of Data-analysis languages like R/Python in core Statistical Concepts is expected. Support the development, execution, and optimization of growth campaigns across various channels to enhance user acquisition, engagement, and retention. Familiar with CRM platforms like Clevertap/Mo-engage. Develop and implement sophisticated customer segmentation strategies to personalize marketing efforts, enhance targeting accuracy, and drive impactful engagement. Ability to work collaboratively with cross-functional teams like Marketing, Business, Finance, Product, Tech to ensure alignment and drive growth initiatives. Why Join Us This role offers a unique opportunity to leverage data to gain deep business insights, beyond mere data extraction and dashboarding. If you possess a keen business acumen and innovative ideas for growth, this position is perfect for you. Join us if you're excited by the prospect of using data to drive strategic decisions and foster business success. A collaborative output-driven program that brings cohesiveness across businesses through technology. A solid 360 feedback from your peer teams on your support of their goals. Respect, that is earned, not demanded from your peers and manager. Compensation If you are the right fit, we believe in creating wealth for you. With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants and we are committed to it. It is your opportunity to be a part of the story!

Actuarial Trainee: Position Details 1 Responsibilities: Calculation of monthly statutory reserve. Setting product and Maintenance of Model in Prophet. Preparation of regulatory reports. Checking and validation of data. Maintain and enhance of DCS coding. Performing experience analysis (e.g. mortality, persistency etc.) Coordination across various departments Position Details 2 Responsibilities: Responsible for pricing and filling the product to IRDAI Developing pricing models and determining premium rates Filing of new products or modification of existing products with IRDAI Risk analysis of all factors: sensitivity (interest rate, mortality, expenses), strain & break-even analysis Replying to queries from IRDA, Product Development team, IT and other teams. Managing needs of different departments including valuation, Operation, IT, Legal etc. - Performing UAT Minimum Qualification: Graduate + Minimum 2 Actuarial Papers Cleared

1, PURPOSE OF THE JOB: Job Context: Lead cross-functional project team from project initiation to close-out, ensuring agreed project scope, milestones, deliverables are clear for all stakeholders, including customers, both internal and external, suppliers, sponsors and team members.; Ensure smooth coordination of tech transfer from R and D to manufacturing. Custom API tech transfer and manufacturing experience with customer-facing responsibility is a plus. Challenges: ;Handling. Execution of a portfolio of Projects as per the defined scope, strict timelines (On-time and In-Full), and within Quality and Regulatory guidelines. Ability to communicate in a matrix environment with internal as well as external stakeholders. 2, DETAILS OF THE JOB: Designation and Job : Manager Level : L3 Business Unit : 265 Function : HOD Office Country : India Work Location : Greater Noida Reporting Manager: Director Programme Management Manager's Manager: VP and Head Project Management 3, KEY ACCOUNTABILITIES: ;;;;;;;;;;;;;Accountabilities ;;;;;;;;;;;;;;;;;;;;;;;;;;;Scope of work Project execution to OTIF Proactively manage and take responsibility of the scope, cost, time and quality of each project assigned, being accountable for on time in full (OTIF) deliveries. Assess project risks and define proactively mitigation actions to reduce impact on project deliverables. Project flow process in adherence to company standards Deliver the project objectives (e.g. results, processes, products) through a structured approach in alignment with company standard operating procedures and Project Management standards Stakeholder and Issue Management Build and maintain rapport with key project stakeholders, including Customers and #39; PMs and Sales' counterpart throughout the project life cycle. Manage emerging issues/ deviations from agreed scope/timeline/cost for a rapid resolution and when appropriate ensure escalation to seek key stakeholder intervention. 4, KEY INTERFACES External Interfaces Internal Interfaces Vendors, Regulatory authority, Customers QA, QC, RA, Tech Transfer, R and D, Finance and SCM Team. 5, EDUCATION and EXPERIENCE Indicate the education level, previous experience, specific knowledge, skills and abilities required to meet minimum requirements for this Job.. Education Qualification(Highest ) with Target Institute(s) M.Sc/ MBA/ Chemical Engg Desired Certifications : PMP Experience Range : 8-10 Yrs, 5 yrs at least of Project Management experience, including indirect team leadership Desirable experience : API / Chemical Industry 6, SKILLS REQUIRED: ;;; Skills Description Proficiency Level (General Awareness; Working Knowledge; Functional Expert, Mastery ) Functional Skills MS Office MS Project is a plus Working knowledge of GMP guidelines Working Knowledge Behavioral Skills Must have Good Communication Skills for Verbal and Written Process. Possess great amount of Perseverance. Ability to manage cross-functional teams to focus on project objectives Analytical mind set to frame issues quickly and ability to make decisions under pressure Working Knowledge General Awareness : Knows the fundamental or general understanding of concepts. Working Knowledge : Has broad / working knowledge of the subject. Candidate should use these concept in day to day practices. Functional Expert: Candidate is certified functional expert with strong knowledge on concepts. Mastery: Candidate is subject matter expert and has command over the subject/ concepts.

Responsibilities Work with large, complex datasets; solve difficult, non-routine analysis problems, applying advanced quantitative methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, model development and evaluation, as well as written and verbal delivery of results to business partners. Collaborate closely with stakeholders in Product Management, Engineering and Operation teams to define relevant questions, objectives and metrics, identify and implement quantitative methods to answer those questions. Develop, own and evolve methodologies and frameworks providing a source of truth measures for the organization. Establish comprehensive understanding of the production systems, advocate for changes where needed for product development, and build data driven solutions to faciliate the efficacy improvement. Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. Preferred qualifications: 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.

Role Responsibilities: Design and implement automated analysis tools (e.g., dashboards) to empower stakeholders with data-driven insights. Validate data integrity, identifying anomalies and investigating root causes of business problems. Produce actionable insights and metrics for technical and business stakeholders. Present findings and recommendations to leadership, creating visual representations of quantitative information. Job Requirements: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related field. 8 years of work experience using analytics to solve business problems, with expertise in statistical analysis and coding (Python, R, SQL). Strong experience with data profiling, data integrity validation, and problem-solving. Ability to communicate complex data findings to senior stakeholders and cross-functional teams.

Responsibilities Provide investigative thought leadership through proactive and strategic contributions; consistently use insights and analytics to drive decisions and alignment throughout the organization. Develop the investigative roadmap that delivers against the broader strategy. Establish the project goals, coordinate resources, and provide technical leadership in-line with the long-term objectives. Define and report Key Performance Indicators (KPIs) and impact as part of regular business reviews with the cross-functional and cross-organizational leadership team. Translate analysis results to business insights or product improvement opportunities. Perform analysis utilizing tools (e.g., SQL, R, Python). Help solve problems, narrowing down multiple options into the best approach, and take ownership of open-ended ambiguous business problems to reach an optimal solution. Minimum qualifications: Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience. 5 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) Preferred qualifications: 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). Experience with experimental design (e.g., A/B, multivariate, Bayesian methods) and incremental analysis.

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years of work experience plus a Master's degree). Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). Experience translating product and business questions into clearly framed investigative projects, extracting and manipulating large datasets, and applying statistical methods. Knowledge of data, metrics, analysis, trends, measurement, statistics, and program evaluation, with the ability to solve large, complex problems. Ability to present to executives and communicate effectively with highly technical leadership teams. Ability to manage multiple assignments simultaneously in a fluid environment. About the job: Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding, and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you will serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data and make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next. Responsibilities: Work with large, complex internal data sets to solve difficult, non-routine analysis problems, applying advanced investigative methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. Work with stakeholders in Product Management, Engineering, and Operation teams to define performance goals, Key Performance Indicators (KPI), and other success measurements. Develop, own, and evolve investigative frameworks providing source of truth measures for the organization. Conduct deep dives revealing opportunities and risks, enabling the team to understand trends and prioritize resources.

Role Responsibilities Lead a team of data scientists in delivering data science solutions for marketing effectiveness and portfolio management for large ads customers. Develop and execute a data science roadmap, aligning with strategic goals and OKRs. Provide analytical thought leadership, contributing proactively to Data Science and Measurement. Influence stakeholders through presentations and written communication, driving data-driven decisions. Collaborate with Product/Engineering teams to scale capabilities and drive innovation in Applied Data Science. Job Requirements Master's degree in a quantitative discipline or equivalent practical experience. 9 years of experience in analytics, coding, and statistical analysis. 3 years of experience in a people management role within a technical leadership capacity. Strong communication skills to clearly articulate technical concepts to diverse audiences.

Data Management (Data Scientist) The opportunity EY's global enterprise technology group provides various enabling services (ERP, infrastructure, platforms, service desk) to assist over 300K employees in creating and delivering solutions and services to Fortune 500, privately held and government-like entities. The Data Scientist will be responsible for leveraging the data lake to drive advanced analytics and predictive modelling initiatives. This role requires a combination of statistical expertise, machine learning knowledge, and the ability to derive insights from large volumes of complex data. The Data Scientist will work closely with business stakeholders to understand their challenges and develop data-driven solutions. Key responsibilities Develop and implement machine learning models and algorithms to analyze large datasets within the data lake. Collaborate with business stakeholders to identify opportunities for leveraging data to drive business solutions. Perform exploratory data analysis to understand underlying patterns, correlations, and trends. Design and execute experiments to test hypotheses and validate data-driven insights. Create predictive models for forecasting, classification, clustering, and optimization problems. Interpret and communicate findings to technical and non-technical audiences through clear visualizations and reports. Integrate advanced analytics into end-user applications and business processes. Maintain up-to-date knowledge of data science techniques, tools, and best practices. Mentor junior data scientists and analysts, and contribute to the team's skill development. Ensure adherence to data privacy and security guidelines when handling sensitive information. Skills and attributes for success A self-starter, independent-thinker, curious and creative person with ambition and passion. This individual should possess a combination of technical skills, analytical abilities, and leadership attributes To qualify for the role you must have Relevant Experience: 3-4 years of experience in a data science role, with a proven track record of developing and deploying machine learning models. Machine Learning: Strong understanding of machine learning techniques and algorithms, such as regression, classification, clustering, neural networks, and natural language processing. Programming Languages: Proficiency in programming languages commonly used in data science, such as Python, R, or Scala. Data Analysis Tools: Experience with data analysis and visualization tools/libraries like Pandas, Matplotlib, Seaborn, or equivalent. Big Data Technologies: Familiarity with big data technologies and frameworks such as Hadoop, Spark, or Databricks. Statistical Analysis: Solid foundation in statistical analysis and the ability to apply statistical methods to solve real-world problems. Data Wrangling: Skills in data preprocessing, cleaning, and wrangling to prepare data for analysis. Deep Learning: Knowledge of deep learning frameworks like TensorFlow or PyTorch is a plus. Collaboration and Communication: Ability to work effectively in a team environment and communicate complex concepts to non-technical stakeholders. Problem-Solving: Excellent problem-solving skills with the ability to think critically and creatively in a data-driven approach. Version Control and Collaboration Tools: Familiarity with version control systems like Git and collaboration tools such as Jupyter Notebooks or Databricks notebooks. Ideally, you'll also have What we look for Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. Data science or any other relevant certification is preferred PowerBI or any other reporting platform experience is a must Knowledge on Power Automate, Qlik View , or any other reporting platform is an added advantage IT IL Foundation certification is preferred What we offer As part of this role, you'll work in a highly integrated, global team with the opportunity and tools to grow, develop and drive your career forward. Here, you can combine global opportunity with flexible working. The EY benefits package goes above and beyond too, focusing on your physical, emotional, financial and social well-being. Your recruiter can talk to you about the benefits available in your country. Here's a snapshot of what we offer: Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.