861 Data Mining Jobs

The Health, Safety, and Environmental (HSE) Analyst supports the implementation of Cummins HSE Management System (HSEMS) and ensures adherence to applicable environmental and safety regulations. This role is especially critical in the setup of new facilities (such as E-heater and EGPs plants), requiring direct involvement in HSEMS implementation and regulatory compliance. The analyst assists in risk assessment, compliance monitoring, incident investigation, and KPI tracking to promote a safe and sustainable work environment. Key Responsibilities: Support the implementation and maintenance of HSEMS at the new facility. Ensure control of significant HSE aspects and risks and contribute to the achievement of HSE objectives and targets. Assist in managing compliance programs (e.g., stormwater, air and water quality, waste management). Conduct site inspections, gather emissions and discharge data, and manage waste accumulation areas. Support site regulatory compliance, including employee training, incident reporting, recordkeeping, and documentation. Assist with internal and external audits, including addressing audit findings and updating HSEMS documentation. Collect and analyze site HSE KPIs and contribute to HSE data reporting at the site, business unit, and corporate levels. Support implementation of engineering and administrative controls to reduce safety risks and environmental impact. External Qualifications and Competencies Skills and Competencies: Health, Safety and Environmental Management Systems : Apply international standards and ensure effective HSEMS implementation. Regulatory Compliance : Interpret and manage legal requirements; monitor operational compliance. Incident Investigation & Root Cause Analysis : Conduct evidence-based investigations with accurate root cause analysis and corrective actions. Risk Assessment : Identify and prioritize risks, enabling selection of appropriate control measures. Performance Measurement : Develop and analyze HSE KPIs to evaluate trends and inform strategic goals. Communication : Communicate effectively with stakeholders at all levels; adapt messages for different audiences. Planning and Prioritization : Align tasks and resources with organizational goals and deadlines. Work Injury/Illness Management : Document and manage injury and illness cases in line with Cummins and legal requirements. Data Mining and Visualization : Use data exploration techniques to extract insights and guide decision-making. Value Differences : Promote inclusivity and respect for diverse perspectives and cultures. Experience: Required : 6-8 years of hands-on experience in Health, Safety, and Environment (HSE) roles, preferably in a manufacturing or industrial setup. Preferred : Prior experience in greenfield project HSE setup and auditing will be an added advantage. Additional Responsibilities Unique to this Position Qualifications: Education : Bachelors degree in Engineering is mandatory. A diploma in industrial safety (ADIS) is required. Certifications (Preferred) : NEBOSH International General Certificate (IGC) ISO 14001 / ISO 45001 Lead Auditor Certification Certified Safety Professional (CSP)

Looking to onboard a skilled professional with 13-16 years of experience to join our team as a Manager - Business Intelligence in Mumbai. The ideal candidate will have a strong background in business intelligence and analytics, with excellent problem-solving skills. Roles and Responsibility Develop and implement business intelligence strategies to drive growth and improvement. Analyze complex data sets to identify trends and opportunities for process improvements. Design and maintain databases and data systems to support business intelligence initiatives. Collaborate with cross-functional teams to integrate business intelligence solutions into existing processes. Provide actionable insights and recommendations to senior management. Stay current with industry trends and emerging technologies in business intelligence. Job Strong understanding of business intelligence principles and practices. Excellent analytical and problem-solving skills. Ability to work effectively in a fast-paced environment with multiple priorities. Strong communication and interpersonal skills. Experience with CRM/IT enabled services/BPO industry is preferred. Ability to lead and manage high-performing teams. Strong knowledge of data analysis and visualization tools. Bachelor's degree in any discipline; relevant certifications are an asset.

About the Company We, RentoMojo, were founded by IITM alums and serial entrepreneurs who worked out of almost every major city in India in his first five years of corporate career. Frustrated with the hassles of relocating from one place to the other, and tired of finding that perfect cluster of home essentials that suited their lifestyle. "The spending youth, especially the millennials & Gen Zs prefer staying light, desire flexibility and are value conscious. Willing to experiment with new stuff across categories that make life simpler and not boring, these generations are also sensitive to our planets sustainability. Our customers and employees identify with what we do , is what Geetansh Bamania, our Founder and CEO has to say. RentoMojo caters to the needs of the working professionals which is unmet due to nonavailability of furnished rental flats by offering furniture and appliances on rental basis, thus, providing more flexibility than owning the expensive furniture and appliances. Currently, we have 100,000+ subscribers with a typical rental period of 12-14 months. The current market size (as per a recent report by Grant Thornton) is estimated to be US$ 4.1 Billion and expected to grow to US$ 13 Billion by 2025. With 700+ people operations, the company has a presence in 16 cities across India. Looking back, Rentomojo has not only made a new market of lease which never existed for the consumer, they have also become market leaders in the consumer rental industry. Unlike the norm, they are now seeing a reverse trend wherein a version of ours is being copied in the US and UK. We are also profitable at monthly PAT since Oct 2021. ROLE : Capital Resourcing LOCATION : Bangalore CAREER GRADE : Associate REPORTS TO : Senior Manager - Capital & Resourcing KEY RELATIONSHIPS : Lenders, Investors, Accounts & Finance Team. About the Role: Rentomojo seeks a self-starter who will contribute to the design and execution of efficient and innovative capital market transactions that allow Rentomojo to grow and deliver new products and services to customers. Responsibilities and Ownership: (Thingsthat the role cannot miss) Manage company s capital structure and review with senior leaders. Partner with various business teams to support financing decisions. Documentation for on boarding investors and serve as the key point of contact for the investor community. Build analytical models to evaluate capital structure decisions including financing, return of capital, and contingency planning. Build and / or maintain deal collateral, teaser, one pager, Information memorandum, financial model, debt profile, other important metrices. Etc Assist in research for various information cuts, new MVPs, new business lines, new financing structures, etc Assist in data mining for new financing structures, means of finance, nature of lenders / investors (both domestic and / or international). Model credit rating outcomes and assist in managing relationship with rating agencies. Support maintenance, user entitlement and activities relating to Treasury workstation and electronic banking portals. Provide broad-based, analytical support to the Treasury team for cash management processes and initiatives. PREFERRED QUALIFICATIONS: Your performance and interest would be the first qualification that would matter to us. Other than that, you should be: Chartered Accountant / CA Inter + MBA / Other Post Graduate course/B.com + CA Inter (3-4 years of relevant experience) Preferably with 1+ years experience in startup finance, debt syndication, project finance, investor relationship, Financial Modelling. Advanced level expertise with MS excel, Word, PPT and other similar tools. Advanced analytical and problem-solving skills with keen attention to detail.

Department Overview The Design & Tools (D&T) team is a strategic component of Centralized Managed Support Operations (CMSO), responsible for providing exceptional Service Design & innovative technology solutions to enable and empower MSI Centralized Managed Support Operations to meet and exceed customers expectations. In this role, you will fit in the AI & Architecture team within D&T. Job Description We are looking for a Senior Data Scientist who will also serve as a subject matter expert in the AI and ML domain, and build analytical and statistical machine learning models that will drive business decisions. In this role You will understand user requirements and translate them into AI solutions that turbocharge internal and external user experiences. Many of these AI solutions will be enabled within the core technologies used within CMSO, including Salesforce and ServiceNow. In other instances, you will also be responsible for building custom predictive and prescriptive ML models for preventative system health checks, system log analytics, automated root cause analysis etc. Responsibilities include: Drive requirements for AI related projects, work with internal customers and with ServiceNow and Salesforce Product Managers for features planning, prioritization and implementation Understand and apply various statistical methods for data analysis, EDA, hypothesis testing, and drawing meaningful conclusions. Apply GenAI, ML and DL concepts, NLP, computer vision, sentiment analysis, topic modeling and graph theory in real world applications to solve business problems Develop application-specific interfaces that leverage GenAI capabilities and LLMs to enhance the associate and customer experience. Design APIs for performance, real-time applications, scale, ease of use and governance automation. Leverage Python, PyTorch, NLTK etc. libraries and frameworks such as Langchain to build AI solutions. Training ML models to effectively communicate complex data insights through clear and informative visualizations Serves as thought leader in data science and applies deep expertise to drive novel customer experiences Adaptive and the desire to learn new technologies. Technical Experience Extensive knowledge of AI supervised, unsupervised and reinforcement methods, GenAI LLM and Python libraries to perform data analysis, building advanced machine learning models and data integrations with source systems and systems of record Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, or spaCy Very good knowledge and experience with Databases like Postgres, Redshift, MSSQL Knowledge and experience in Cloud Environments (Azure, AWS, GCP) Experience to read data from multiple sources and cleanse, enhance and analyze the data. Ability to integrate data, sourcing data from several Sources including databases, files, API and Server logs. Preferred Qualifications Minimum of 4+ years experience in data analytics, data mining, machine learning, and has employed predictive, prescriptive, conversational or generative AI to solve business problems Minimum of 4+ years experience in hands-on design, coding, development and deployment using data science tools such as Python, Tensorflow etc. to build AI solutions Minimum 2+ years experience leading teams to deliver solutions and results Deep knowledge of ML streams, e.g., natural language processing, computer vision, statistical learning theory and their application in real world situations Knowledge of ServiceNow and Salesforce products and features Experience working with one of the leading public clouds (AWS, Google, Azure) Excellent written and oral communication skills. Be able to work under pressure Ability to Multitask, Prioritize and Manage time effectively. Strong interpersonal skills and ability to work effectively across teams, functional groups Basic Requirements Bachelors degree in Data Science, Computer Science, or an IT related field Minimum of 4+ years experience in a Data Science related role Travel Requirements None Relocation Provided None Position Type Experienced

Suspicious Activity Monitoring Suspicious Activity Monitoring (SAM) enables Amazon businesses to mitigate the regulatory and legal risk of money laundering and terrorist financing. SAM success is measured in identifying suspicious activity and reporting the same to regulators in a timely manner to keep perpetrators off our platform and meet regulatory obligations About the Role Sr. Risk Analyst The role encompasses handling multiple payment products investigating buyer and seller transactions involving data mining and analyzing, deep diving on the facts and information obtained through internal and external tools, make decisions basis the analysis applying analytical skills followed by detailed conclusion write up on the findings and observations. The candidate is a motivated self-starter that can work independently in ambiguous environment with limited supervision. The candidate must be adaptable, who can quickly absorb the nuances of Amazons varied payment offerings, its risks, internal systems, and regulatory requirements. The candidate should possess analytical ability in decision making and effective written communication. In addition, Sr. Analysts are expected to contribute to the process through ideas, participation in process Kaizen s to drive operational excellence, support the team in scaling up on metrics and assist in train and mentor new hires. The role encompasses handling multiple payment products investigating buyer and seller transactions involving data mining and analyzing, deep diving on data and information obtained through internal and external tools, making high-judgement decisions based on the analysis and applying critical thinking to form a well-informed hypothesis/recommendation, which is presented through a detailed yet concise conclusion write-up on the findings and observations. The ideal candidate is a motivated self-starter that can work independently in a fast paced, ambiguous environment with limited supervision. The candidate must be a fast learner, who can quickly absorb the nuances of Amazons varied payment offerings, its risks, internal systems, and regulatory requirements. The candidate should demonstrate high analytical ability in high-judgement decision-making and good written communication. In addition, Sr. Analysts are expected to contribute to the process through ideas, participation in process Kaizen s to drive operational excellence, support the team in scaling up on metrics and assist in train and mentor new hires. * Written and spoken English skills and an ability to compose a grammatically correct, concise and accurate written response * Should be a graduate to apply for this role * Written and verbal communication skills, specifically the ability to draw inferences from multiple information sources and aptly articulate in the form of a conclusion *1+ years of Working knowledge of Anti-Money Laundering (AML) laws and regulations, Bank Secrecy Act (BSA) and OFAC regulations * Has working knowledge on Payment Systems * Awareness of SAR/STR filings * Proficient in MS Office applications

Manager Business Intelligence & Analytics Home Job Openings Manager Business Intelligence & Analytics Analyze and interpret large sets of data to provide valuable insights and strategic recommendations to the organization. Involves leveraging data to drive strategic decision-making, optimizing business processes, and enabling the organization to gain a competitive edge through data-driven insights. 1. Data Analysis: Prepare dash boards on Microsoft BI tool. Collaborating with teams to collect, clean, and analyze data from various sources to identify trends, patterns, and correlations. 2. Reporting and Visualization: Creating reports, dashboards, and visualizations to present data-driven insights in a clear and concise manner to management. 3. Business Intelligence Strategy: Developing and implementing a comprehensive business intelligence strategy that aligns with the organization s goals and objectives. 4. Data-driven Decision Making: Assisting senior management in making informed decisions by providing data-backed recommendations and insights. 5. Cross-functional Collaboration: Working closely with other departments such as marketing, finance, product development, and IT to understand their data needs and provide actionable insights to support their objectives. 6. Data Governance: Ensuring data quality, integrity, and security by establishing and enforcing data governance policies and procedures. 7. Emerging Technologies: Staying updated with the latest trends and advancements in business intelligence tools, data analytics techniques, and data visualization platforms to enhance the team s capabilities. 8. Team Leadership: Rolling out monthly campaigns for all countries to be able to get promotions from hotels & activities to improve profitability. Negotiate overrides with various hotels, activities , excursions and third party suppliers to improve sales and margins. Required Qualifications: Bachelor s degree in relevant field such as Business Adminitration, Information Systems or related discipline. Strong analytical skills are essential for gathering and interpreting information to identify trends. Proficiency in using data analysis tools. Ability to visualize data effectivetly using visualisation tools like Power BI. Familiarity with business intelligence concepts and methodologies and data governance. Travel Industry Knowledge Excellent written and verbal communication skills are essential Desired Qualifications: Experience in forecasting and predictive modelling. Data mining and machine learning techniques Experience in designing and creating interactive reports and dashboards and visualizations that effectively communicate data insights to various stakeholders Knowledge of data privacy & security. Job Type: Full Time Job Location: India

About Us: Diginnovators is a fast-growing startup focused on delivering end-to-end digital solutions across multiple industries, including Advertising, Fintech, eCommerce, Healthcare, and more. Our expertise spans Technology Consultancy, UX/UI Design, Web Development, Mobile App Development, Digital Marketing, AI, Machine Learning, and more. We are driven by innovation, aiming to help businesses scale through superior solutions, exceptional talent, and outstanding service. Our mission is to act as a catalyst for brands and corporates, ensuring timely deliverables and continuous dedicated support. Job Summary: As a Lead Generation & Marketing Intern you will support the planning and execution of online advertising campaigns to drive leads and brand awareness. This role offers hands-on exposure to paid marketing platforms and lead generation strategies. Key Responsibilities: Market Research & Data Mining - Identify potential clients in target markets through online research (LinkedIn, Clutch, Upwork, etc.). Gather contact details and build a database of qualified leads. Lead Generation -Reach out to prospects via email campaigns, LinkedIn messages, and cold calls. Generate interest in the company s web design and mobile app development services. CRM Management - Maintain and update leads in the CRM system regularly. Track lead status and follow-up schedules consistently. Campaign Support - Assist in planning and executing lead generation campaigns. Collaborate with the marketing team to create outreach templates and strategies. Competitor Analysis - Study competitors to understand market trends and identify gaps for new opportunities. Reporting & Analytics - Prepare weekly/monthly reports on lead generation efforts, conversion rates, and campaign performance. Coordination with Sales Team - Qualify leads and schedule meetings or demos with the sales or business development team. Learning & Development - Stay updated with IT industry trends, particularly in web and mobile tech. Attend internal training sessions and apply learning to real-time tasks Required Qualifications: Education: Pursuing a degree in Marketing, Business, or related field. Digital Ad Knowledge: Familiarity with online advertising and lead generation basics. Analytical Skills: Strong interest in data and performance metrics. Tool Exposure: Basic experience with ad platforms like Google Ads or Meta Ads Manager. Communication: Good verbal and written communication skills. Creativity: Ability to write short, compelling ad copy. Organization: Strong time management and coordination skills. What We Offer: Professional Growth: Opportunities for continuous learning and development through workshops, mentorship, and hands-on experience in cutting-edge technologies. Innovative Work Environment: A dynamic, collaborative startup culture where your ideas and contributions directly impact the companys success. Career Growth Opportunities: Clear pathways for career advancement with regular performance evaluations and opportunities to take on leadership roles. Challenging Projects: Engage in cutting-edge projects that push the boundaries of technology, giving you the chance to work on meaningful and impactful solutions. Team Collaboration: Be part of a supportive and inclusive team that values diversity, creativity, and collaboration, fostering a positive and innovative work environment. Who Can Apply? Experience: 0 - 1 Year Availability: Immediate to 7 Days Work Location: Hybrdi (Balewadi, Pune) Stipend: As per market standards

Job Job Responsibilities Development and Implementation of a Robust System to analysing the probable risks in Commercial Transactions Analysing and evaluating potential risks related to compliance and control within the organization's commercial operations, such as regulatory noncompliance, fraud, operational inefficiencies. Gathering and analysing data of various systems, including OCG/internal audits reports, customer complaints to identify patterns, trends, and areas of concern related to compliance and control risks. Monitoring adherence to internal policies, procedures, and external regulations to ensure compliance, identifying gaps and recommending corrective actions to mitigate risk and ensure compliance. Conducting risk assessments and mapping potential risks to prioritize and develop strategies for managing and mitigating compliance and control risks Collaborating with commercial, system & legal teams to develop and update internal policies, procedures, and guidelines related to compliance and control risks, ensuring alignment with applicable laws and regulations. Identifying areas for process improvement to enhance efficiency and effectiveness in managing compliance and control risks, proposing and implementing solutions, and monitoring the impact of process changes. Work Experience Full time MBA from a reputed B-school. 2-4 years of relevant experience Business Analytics Proven analytics skills, including mining, evaluation, and visualization. Technical writing experience in relevant areas, including queries, reports, and presentations. Strong SQL, Advanced Excel skills, with aptitude for learning other analytics tools. Knowledge of Power BI, Alteryx tools, AWS, MONGO DB is required. 4 or more years of experience mining data as a data analyst.

SUMMARY The Data Analyst role supports the Structured Data Services Team Lead on active projects. This involves understanding client requirements, reviewing documents, and identifying, gathering, analyzing, and extracting relevant data. The Data Analyst reports any difficulties and observed patterns to the Senior Data Analyst II or Team Lead. Meeting deadlines while maintaining high standards of accuracy and quality is crucial for this role. ROLES & RESPONSIBILITIES Analyzes documents and extracts content based on project specifications using Excel and other file types Collaborate closely with the Team Lead to receive the latest updates and instructions on projects and develops relationships within immediate team Performs data cleansing or format extracted data using formulas, manual methods, or programming tools Conducts audits on assigned projects Follows established procedures and methods to solve problems Identifies the correlation, issue and pattern through data mining Provides data into comprehensible structures of organizing and transforming information Identifies the timing and indicators of data access based on the analysis Responsible for integrity in analysis, quality on the projects Manages multiple projects daily Meets project targets consistently May perform other duties as assigned by management SKILLS AND KNOWLEDGE Basic understanding of document analysis especially in data breach review Knowledge in the Advanced Excel and basic other Microsoft applications (like Word, PowerPoint etc.) Experience with Macro coding, preferred Knowledge and/or experience with a common scripting or programming language, including Powery Query and Python will be added advantage Strong verbal and written communication skills Experience working in a team environment Flexible, adaptable, responsive, and positive Data Analytical Certifications would be preferred Basic understanding of ETL frameworks JOB REQUIREMENTS Bachelors Degree in Computer Science, Mathematics, Information Management, or Statistics and 0-1 years of Data Analyst experience or related experience. Ability to work greater than 40 hours per week as needed

Our Purpose Title and Summary Economic Analyst, Eastern Europe, Middle East and Africa (EEMEA) Overview The Mastercard Economics Institute (MEI) is an economics lab powering scale at Mastercard by owning economic thought leadership in support of Mastercard s efforts to build a more inclusive and sustainable digital economy The Economics Institute was launched in 2020 to analyze economic trends through the lens of the consumer to deliver tailored and actionable insights on economic issues for customers, partners and policymakers The Institute is composed of a team of economists and data scientists that utilize & synthesize the anonymized and aggregated data from the Mastercard network together with public data to bring powerful insights to life, in the form of 1:1 presentation, global thought leadership, media participation, and commercial work through the company s product suites About the Role We are looking for an economic analyst to engage in data analytics and economic research for the EEMEA region. This individual will report to the SVP, Chief Economist, for EEMEA at MEI, and will have the following responsibilities: Support client and stakeholder engagements for the Economics Institute, specifically focusing on EEMEA economic research. Support collaboration with external clients, academic institutions, and industry partners. Generate initial insights to help create effective, impactful, and quality-assured storylines and visuals at the stream or small project level. Synthesize analyses into clear, sound recommendations. Outline and help write reports and draft client presentations at the work stream or project level. Enhance existing products and partner with internal stakeholders to create new solutions. Proactively seek new knowledge and structure project work to facilitate the capture of intellectual capital with minimal oversight. Actively participate in new solution development and support thought leadership activities by building knowledge, know-how, and best practices related to economic research; share and leverage to continuously improve quality and productivity. All About You Required: Bachelors degree in Economics (preferred), Statistics, or Mathematics. Experience in statistical modeling, quantitative analysis, data engineering, R development, with a focus economic research. Understanding of statistics and econometric concepts, modeling and forecasting techniques Proficiency in SQL and Hadoop is essential. Expertise in R, Python, or other major statistical packages is essential. Experience with Tableau is strongly preferred. Knowledge of JavaScript for data visualization is a plus. Proficient in key econometric and statistical techniques such as predictive modeling, logistic regression, survival analysis, time series modeling, design of experiments, decision trees, and data mining methods. Willingness to learn additional statistical applications or software as required. Experience in the financial services industry is desirable. Excellent communication and strong writing skills required.

Indus Towers Limited is looking for IT - Data Analyst - Team Member to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Job Brand Manager: To facilitate the rapid growth of the Zoop (Kid\u2019s Watches) brand by optimizing brand communications, developing product strategies based on consumer needs, and activating channel levers. Key Job Expectations: Brand Content and Social Media Management- Collaborate with creative agencies to create collaterals, content, and product shoots that align with the brand vision and marketing plan. Coordinate with media agencies to place and communicate content on digital and social media channels. Build and engage social media communities. Ensure accurate product listings across all platforms and media channels. Online Performance Marketing- Work with agencies to provide input in developing the marketing calendar, budget, and plan for the year. Design reach, consideration, and conversion campaigns with digital media agencies, marketplace platforms, and quick-commerce platforms. Evaluate the performance of branding initiatives and campaigns compared to the plan, and make necessary adjustments. Product Management- Conduct marketing and customer research to understand brand positioning, trends, insights, gaps, and strengths. Assess and shortlist relevant products for the category and sales channels. Track the product calendar and coordinate with the supply chain and field team to ensure timely launches in the market. Regularly monitor brand inventory and develop strategies for stock liquidation. On-Ground Channel Strategy- Periodically assess brand positioning, penetration, and display hygiene in on-ground retail channels through channel and partner interactions. Identify opportunities to highlight the brand and products in stores, and propose visual merchandising corrections based on channel feedback. Develop a below-the-line (BTL) calendar to drive traffic, consumer engagement, and sales. Licensed/Collab Business Management- Identify new licensing opportunities based on consumption patterns and trends. Coordinate contract signing and execution. Effectively utilize advance royalty by planning for product penetration in the market. Identify collaboration opportunities with licensor media handles and marketplace platforms in line with brand objectives. Work Experience Education: MBA from a prestigious university with a specialization in marketing Experience: 3 to 5 years of in the marketing department within the retail or fashion industry. Knowledge: Lifestyle and Fashion Industry - Trends, Business, and Ways of Working. Experience in Marketing (Communication, Product, and Design). Proficient in data mining and analysis, with advanced skills in Excel. Behavioral Skills: Business Acumen Entrepreneurial Spirit Naturally Innovative Responsibility Inquisitive Proactive Problem-Solver Diligent and Detail-Oriented in Approach.

0px> Who are we? In one sentence This is a hands-on position for a motivated and talented innovator. The Data Scientist performs data mining and develops algorithms that provide insight from data. What will your job look like? You will be responsible for and perform end-top-end data-based research. You will craft data mining solutions to be implemented and executed with alignment to the planned scope and design coverage and needs/uses, demonstrating knowledge and a broad understanding of E2E business processes and requirements. You will define the data analytics research plan, scope and resources required to meet the objectives of his/her area of ownership. You will identify and analyze new data analytic directions and their potential business impact to determine the accurate prioritization of data analytics activities based on business needs and analytics value. You will identify data sources, supervises the data collection process and crafts the data structure in collaboration with data experts (BI or big-data) and subject matter and business experts. Ensures that data used in the data analysis activities are of the highest quality. You will construct data models (algorithms and formulas) for required business needs and predictions. You will present results, including the preparation of patents and white papers and facilitating presentations during conferences. All you need is... Ph.D. in Computer Science, Mathematics or Statistics 4 years experience in tasks related to data analytics Knowledge of telecommunications and of the subject area being investigated - advantage Knowledge in the product (ACC or other) application knowledge and configuration knowledge Knowledge in BSS, billing, Telco and the business processes Familiarity in the Telco Networking - mobile, landline, cable TV, Internet knowledge in Oracle SQL Why you will love this job: You will ensure timely resolution or critical issue within the agreed SLA. This includes creating a positive customer support experience and build strong relationships through problem understanding, presenting promptly on progress, and handling customers with a professional demeanour. You will be able to demonstrates an understanding of key business drivers and ensures strategic directions are followed and the organization succeeds We are a dynamic, multi-cultural organization that constantly innovates and empowers our employees to grow. Our people our passionate, daring, and phenomenal teammates that stand by each other with a dedication to creating a diverse, inclusive workplace! We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!

Software Engineering Senior Analyst - HIH - Evernorth Excited to grow your career? We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position, you see is right for you, we encourage you to apply! Our people make all the difference in our success. We are looking for exceptional software engineers/developers in our PBM Plus Technology Organization. This role will require a Java Developer completing delegated tasks assigned by a supervisor in the Engineering job family and will work on developing RESTful, Microservices and deploying in on prem and/or AWS infrastructure. They are expected to work closely with Subject Matter Experts, developers, and business stakeholders to ensure that application solutions meet business/customer requirements. Responsibilities Delivers specific delegated tasks assigned by a supervisor in the Engineering job family, supporting the full software lifecycle of design, development, testing, and support for technical delivery. Designs, develops and implements standardized methods, processes and systems and data mining tools. Completes day-to-day Information Management tasks without immediate supervision but has ready access to advice from more experienced team members. Tasks involve a degree of forward planning and anticipation of needs/issues. Works with both onsite (Scrum Master, Product, QA and Developers) and offshore QA team members in properly defining testable scenarios based on requirements/acceptance criteria. Participate in daily team standup meetings where youll give and receive updates on the current backlog and challenges. Qualifications Required Skills: Experience writing SQL queries to check the data in databases such as Oracle, MongoDB Working knowledge of GIT Repository, CICD (Jenkins) & Splunk. Experience in cloud technology such as PCF, Open Shift, AWS highly desirable. Knowledge of agile software development life cycle methodology. Prior industry experience (Pharmacy, Healthcare, etc.) preferred. Must have good analytical and problem solving skills. Must have good communications skills both verbal and written. Required Experience & Education: High School diploma or equivalent required. College degree preferred, but not required. 4+ years of experience in developing Java services or API using Spring Boot. Location & Hours of Work Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH) Equal Opportunity Statement Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations About Evernorth Health Services

SUMMARY The Data Analyst role supports the Structured Data Services Team Lead on active projects. This involves understanding client requirements, reviewing documents, and identifying, gathering, analyzing, and extracting relevant data. The Data Analyst reports any difficulties and observed patterns to the Senior Data Analyst II or Team Lead. Meeting deadlines while maintaining high standards of accuracy and quality is crucial for this role. ROLES & RESPONSIBILITIES Analyzes documents and extracts content based on project specifications using Excel and other file types Collaborate closely with the Team Lead to receive the latest updates and instructions on projects and develops relationships within immediate team Performs data cleansing or format extracted data using formulas, manual methods, or programming tools Conducts audits on assigned projects Follows established procedures and methods to solve problems Identifies the correlation, issue and pattern through data mining Provides data into comprehensible structures of organizing and transforming information Identifies the timing and indicators of data access based on the analysis Responsible for integrity in analysis, quality on the projects Manages multiple projects daily Meets project targets consistently May perform other duties as assigned by management SKILLS AND KNOWLEDGE Basic understanding of document analysis especially in data breach review Knowledge in the Advanced Excel and basic other Microsoft applications (like Word, PowerPoint etc.) Experience with Macro coding, preferred Knowledge and/or experience with a common scripting or programming language, including Powery Query and Python will be added advantage Strong verbal and written communication skills Experience working in a team environment Flexible, adaptable, responsive, and positive Data Analytical Certifications would be preferred Basic understanding of ETL frameworks JOB REQUIREMENTS Bachelors Degree in Computer Science, Mathematics, Information Management, or Statistics and 0-1 years of Data Analyst experience or related experience. Ability to work greater than 40 hours per week as needed DISCLAIMER The above statements are intended to describe the general nature and level of work being performed. They are not intended to be an exhaustive list of all responsibilities, duties and skills required personnel so classified. WORK ENVIRONMENT While performing the responsibilities of this position, the work environment characteristics listed below are representative of the environment the employee will encounter: Usual office working conditions. Reasonable accommodation may be made to enable people with disabilities to perform the essential functions of this job. TERMS OF EMPLOYMENT Salary and benefits shall be paid consistent with Arete salary and benefit policy. DECLARATION The Arete Incident Response Human Resources Department retains the sole right and discretion to make changes to this job description. EQUAL EMPLOYMENT OPPORTUNITY We re proud to be an equal opportunity employer- and celebrate our employees differences, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or Veteran status. Different makes us better. Arete Incident Response is an outstanding (and growing) company with a very dedicated, fun team. We offer competitive salaries, fully paid benefits including Medical/Dental, Life/Disability Insurance, 401(k) and the opportunity to work with some of the latest and greatest in the fast-growing cyber security industry. When you join Arete You ll be doing work that matters alongside other talented people, transforming the way people, businesses, and things connect with each other. Of course, we will offer you great pay and benefits, but we re about more than that. Arete is a place where you can craft your own path to greatness. Whether you think in code, words, pictures or numbers, find your future at Arete, where experience matters. Equal Employment Opportunity We re proud to be an equal opportunity employer- and celebrate our employees differences, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or Veteran status. Different makes us better.

Data Scientist – 3 – Kotak811 Kotak811 is a Neobank incubated by Kotak Mahindra Bank, with a view of providing completely digitized banking services in the convenience of the customer’s mobile phone. 811 is an early mover in the Indian fintech space that started off as a downloadable savings bank account in 2017, post demonetization, when India took one step closer to a digital economy. The Data Scientist-3 in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. Key of The Role Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 7 - 10 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets. Strong experience in NLP, time series forecasting and recommendation engines preferred Create great data stories with expertise in robust EDA and statistical inference. Should have at least a foundational understanding in Experimentation design Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe preferred Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting. Should be proficient in developing production ready code as per best practices. Experience in using Scala/Java/Go based libraries a big plus Very proficient is SQL and other relational databases along with PySpark or Spark SQL. Proficient is using NoSQL databases. Experience in using GraphDBs like Neo4j a plus. Candidate should be able to handle unstructured data with ease. Candidate should have experience in working with MLEs and be proficient (with experience) in using MLOps tools. Should be able to consume the capabilities of said tools with deep understanding of deployment lifecycle. Experience in CI/CD deployment is a big plus. Knowledge of key concepts in distributed systems like replication, serialization, concurrency control etc. a big plus Good understanding of programming best practices and building code artifacts for reuse. Should be comfortable with version controlling and collaborate comfortably in tools like git Ability to create frameworks that can perform model RCAs using analytical and interpretability tools. Should be able to peer review model documentations/code bases and find opportunities Experience in end-to-end delivery of AI driven Solutions (Deep learning , traditional data science projects) Strong communication, partnership and teamwork skills Should be able to guide and mentor teams while leading them by example. Should be an integral part of creating a team culture focused on driving collaboration, technical expertise and partnerships with other teams Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space Experience in Banking and financial services is a plus. However, sound logical reasoning and first principles problem solving are even more critical A typical day in the life of the job role1. As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions 2. Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem 3. Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development 4. Build re-usable code analytical frameworks to address commonly occurring business questions 5. Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty 6. Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges 7. The role will be an approximate 60% IC – 40% leading and the ratios can vary basis need and fit 8. Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP) to enhance the single view of our customer Websitehttps://www.kotak811.com/

The Health, Safety, and Environmental (HSE) Analyst supports the implementation of Cummins HSE Management System (HSEMS) and ensures adherence to applicable environmental and safety regulations. This role is especially critical in the setup of new facilities (such as E-heater and EGPs plants), requiring direct involvement in HSEMS implementation and regulatory compliance. The analyst assists in risk assessment, compliance monitoring, incident investigation, and KPI tracking to promote a safe and sustainable work environment. Key Responsibilities: Support the implementation and maintenance of HSEMS at the new facility. Ensure control of significant HSE aspects and risks and contribute to the achievement of HSE objectives and targets. Assist in managing compliance programs (e. g. , stormwater, air and water quality, waste management). Conduct site inspections, gather emissions and discharge data, and manage waste accumulation areas. Support site regulatory compliance, including employee training, incident reporting, recordkeeping, and documentation. Assist with internal and external audits, including addressing audit findings and updating HSEMS documentation. Collect and analyze site HSE KPIs and contribute to HSE data reporting at the site, business unit, and corporate levels. Support implementation of engineering and administrative controls to reduce safety risks and environmental impact. Qualifications: Education : Bachelor s degree in Engineering is mandatory. A diploma in industrial safety (ADIS) is required. Certifications (Preferred) : NEBOSH International General Certificate (IGC) ISO 14001 / ISO 45001 Lead Auditor Certification Certified Safety Professional (CSP) Skills and Competencies: Health, Safety and Environmental Management Systems : Apply international standards and ensure effective HSEMS implementation. Regulatory Compliance : Interpret and manage legal requirements; monitor operational compliance. Incident Investigation & Root Cause Analysis : Conduct evidence-based investigations with accurate root cause analysis and corrective actions. Risk Assessment : Identify and prioritize risks, enabling selection of appropriate control measures. Performance Measurement : Develop and analyze HSE KPIs to evaluate trends and inform strategic goals. Communication : Communicate effectively with stakeholders at all levels; adapt messages for different audiences. Planning and Prioritization : Align tasks and resources with organizational goals and deadlines. Work Injury/Illness Management : Document and manage injury and illness cases in line with Cummins and legal requirements. Data Mining and Visualization : Use data exploration techniques to extract insights and guide decision-making. Value Differences : Promote inclusivity and respect for diverse perspectives and cultures. Experience: Required : 6-8 years of hands-on experience in Health, Safety, and Environment (HSE) roles, preferably in a manufacturing or industrial setup. Preferred : Prior experience in greenfield project HSE setup and auditing will be an added advantage.

Our vision for the future is based on the idea that transforming financial lives starts by giving our people the freedom to transform their own. We have a flexible work environment, and fluid career paths. We not only encourage but celebrate internal mobility. We also recognize the importance of purpose, well-being, and work-life balance. Within Empower and our communities, we work hard to create a welcoming and inclusive environment, and our associates dedicate thousands of hours to volunteering for causes that matter most to them. Chart your own path and grow your career while helping more customers achieve financial freedom. Empower Yourself. Job Description Empower India Data Science team is looking for a Sr. Analyst who is capable of producing in-depth analysis that suggests strategic and operational changes. The ideal candidate will understand the business problem, collect and study relevant data and able to produce meaningful and actionable insights that helps to solve the business problem in hand. Role Responsibilities: Understand the complex business problem, able to convert it as an analytical problem. Understand the data need, collect, interpret and clean the data for analysis Produce meaningful insights using analytical/data modelling techniques and interpret and justify the results with the business context Handle the project end-to-end independently Able to present the analysis and results to the senior stakeholders Generate BI reports and able to automate them Work with management to prioritize business and information needs Educational Qualification: Graduate / Post-graduate degree in Business Management / Statistics / Economics / Finance Required Experience: 2-6 years of experience working in analytics, data science or related experience Attention to detail, and should be open to learn quickly on new technologies and statistical techniques in analytics like Machine Learning, AI, SAS, AWS, Python, Tableau etc. Working experience with tools such as Google Analytics/ Adobe Analytics Handling end-to-end projects independently Required skills and competencies: Technical expertise regarding data modelling using statistical techniques, data mining, generate and automate BI reports Strong knowledge of and experience with the data modelling techniques like Time Series, Regression, Segmentation, Clustering, Market Mix, Machine Learning, AI. Strong analytical skills to be able to understand the business problem, collect and analyze the data and able to interpret the results Co-ordinate with different teams to be able to gather required information Strong written and verbal communication skill and be able to present the results to the senior stakeholders Good understanding of US Retirement Industry Self-motivation, excellent accountability and ownership skills Excellent team player This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason, as per terms and conditions of your employment contract.

Job Title: Sr Specialist Experience: 8-10 years Location: Gurugram Position type: Full time Timing: 1pm 10pm (IST) What this job involves: As a Brand Analyst, you will be responsible for monitoring and evaluating the overall health of our company's brand. You'll use data analysis techniques to provide insights to stakeholders through a dedicated dashboard that tracks key metrics such as customer sentiment, brand awareness, market share, and competitive landscape. Your work will inform strategic marketing decisions to maintain and enhance the brand's reputation. Key Responsibilities: Data Collection and Integration Gather data from various sources including social media, customer surveys, market research, sales data, and web analytics Create a comprehensive view of brand perception Metric Development and Analysis Define and calculate relevant brand health metrics such as brand sentiment, customer loyalty score, brand advocacy, and share of voice Identify patterns and trends in brand health data over time Conduct competitive analysis to track competitor brand performance Dashboard Design and Visualization Build and maintain an interactive dashboard using data visualization tools Present key brand health metrics clearly and effectively to stakeholders Reporting and Insights Generate regular reports and presentations to communicate brand health insights Provide actionable recommendations for brand strategy adjustments Present complex data insights to diverse audiences Trend Analysis and Forecasting Analyze brand performance data and predict future trends Identify opportunities and potential threats in the market Sounds like you To apply, you need to be: Strong proficiency in data manipulation, statistical analysis, and data mining techniques Experience with tools like SQL, Python, and R Ability to create compelling data visualizations using tools like Tableau or Power BI Understanding of marketing principles, branding concepts, and customer behavior Excellent written and verbal communication skills Familiarity with web analytics platforms, social listening tools, and CRM systems Critical thinking skills to interpret data within a marketing context Ability to work independently and as part of a team Scheduled Weekly Hours: 40

Skill required: Delivery - Business Analytics Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Data & AIAs a Data Analyst, you will play a crucial role in extracting, analyzing, and interpreting complex data sets to uncover meaningful patterns and trends. You will collaborate with various teams to provide actionable insights that support strategic decision-making. What are we looking for Data Extraction and Cleaning Business Insights Digital Marketing Analytics Data Analysis Adaptable and flexible Written and verbal communication Commitment to quality Ability to work well in a team Agility for quick learning Data Visualization Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day-to-day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Qualification Any Graduation

Skill required: Analytics - Reporting Analytics Designation: Analytics and Modeling Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do The Business Intelligence & Analytics (BI&A) function is part of CF Operations under Accenture Operations and is engaged in an ongoing program to support Markets and Services. BI&A team member is part of the team that provides operations support to Markets and Services leadership. He/she will be responsible for delivering data driven analytics to Market & Services leadership. The Analytics and Modeling Senior Analyst will be responsible to deliver analytics to one of the Markets/ Services. Whether you re measuring sales performance, analyzing trends, data mining, or optimizing SQL queries, the Senior Analyst will be working with the cutting-edge technology and big datasets. Working in the Business Operations Data Integration team is a premier opportunity to develop a career in Business Analytics.At their core, Analytics and Modeling Senior Analysts are not only required to be strong in quantitative analysis, data visualization, enjoy coding but also want to balance that with their interest in business. The role requires them to think critically to tackle complex challenges, thrive in a fast-paced environment and seeking a high-growth opportunity where they will have an immediate impact on day one. What are we looking for QUALIFICATIONSAny graduate degree (or equivalent) required, full time MBA preferred4 6 years of post-education experience, with at least 4-5 years of relevant experienceStrong knowledge of advanced Excel, PowerPoint and at least one of the data visualization tools such as Power BIStrong Knowledge of SQL, SSRS, Access, VBA will be highly preferredTOP REQUIRED BEHAVIORS AND SPreferably handled projects in the areas of data visualization and analyticsGood understanding of dashboards and scorecards for leadership review Preferably an expert on MS Excel & Macros and with prior experience or hands on in either one or more of the following - SFDC, SQL Server, Sales Analytics, SAP BI or any other Business intelligence platformsAbility to multitask to meet deadlines and quality expectations Analytical/problem solving skillsAccuracy and attention to detail; prioritizes and plans work activitiesGood communication in English (written and oral) and interpersonal skills. Ability to interact with international stakeholdersExperience in handling global clients preferredWilling to go the extra mile for the team when requiredAbility to work under minimal supervision and guidanceWillingness to learn and deliver with a positive attitude Roles and Responsibilities: ACCOUNTABILITIESBusiness operations support to Services/ Markets including Business Intelligence & Analytics to produce analytics across multiple dimensions of business - Finance, Sales, Talent, Quality, Delivery, external competition and others as needed by the Market/ Service leadershipData VisualizationReporting & AnalyticsDriving adoption of Standard Accenture toolsWorking in an agile way on demand change request, real time support for ad hoc reporting requestsRESPONSIBILITIESAct as a business partner to provide analytics, management operations support and reporting to Market/ Service Leads to help them run their portfolios, understand key performance metrics and drive performance improvementsProvide analysis for programs jointly as needed that include pipeline improvement, win/loss, account planning, profitability improvement analysis, chargeability analysisUse latest analytics and data visualization tools such as Power BI, for effective data representation to provide insights to businessIdentify process improvement opportunities to develop effective business solutionsDevelop process documentation, communications, and reports required to support leadershipFoster relationships and partner with internal teams, and external business functions to deliver business results Work with different stakeholders to gain input needed to drive key business discussions /outcomesBuild functional and technical skills foundationParticipate and contribute to regular team discussions and process improvement initiativesTake responsibility for personal skill development and career management Qualification Any Graduation

Roles and Responsibilities Conduct statistical analyses using Python, R, SAS, SQL, and other relevant tools to solve business problems. Develop predictive models and machine learning algorithms to drive business insights. Collaborate with cross-functional teams to design and implement data-driven solutions. Provide expert advice on statistical modeling, data mining, and analytics best practices. Stay up-to-date with industry trends and advancements in statistics and mathematics.

Job Title:GN - SC&O - S&P Spend Analytics Senior Data Scientist Management Level:8 Associate Manager Location:Gurgaon Must have skills:Data Handling, Data Classification, AI/ML Good to have Skills: Data Mining, Python Job Summary : As an Associate Manager in Spend Analytics and Senior Data Scientist, you will be responsible for leading the design, development, and implementation of AI/ML-powered procurement and analytics solutions. You will be working closely with cross-functional teams to conceptualize and deploy platforms that identify cost-saving opportunities, enhance supplier management, and deliver business intelligence to enterprise clients. Roles and Responsibilities: Data Handling Data Collection:Participate in calls with stakeholders (internal and external, based in the US) to gather data from various sources (email, Dropbox, Egnyte, databases). Data Audit:Lead assessment of data quality, identify gaps, and create summaries as per database requirements. Data Scrubbing:Assist with creating data cleansing rules and incorporate data clarifications provided by data source owners. Data Profiling:Assist with creating multi-dimensional data views, data analysis reports, and extracts. Data Classification: Spend Classification:Analyze procurement spend using several techniques to comprehensively classify into a custom taxonomy in Accentures spend analytics tool. Enhancements:Diligently incorporate feedback and make recommendations for process improvement. Report Generation:Create specific and opportunity spend-assessment reports/templates. Periodic Refreshes:Lead discussions with US-based stakeholders for data gathering, data quality checks, control total validation, and spend classification. Advanced Analytics and AI/ML Develop custom data models and algorithms to apply to data sets. Use machine learning tools and statistical techniques to produce solutions to problems. Implement clustering and auto classification using predictive and supervised learning techniques. Design and implement complex data models from scratch. Develop and optimize ETL processes to ensure efficient data handling and processing. Create intuitive and effective front-end interfaces from scratch. Apply AI/ML techniques to optimize supply chain management, including demand forecasting, inventory optimization, and supplier performance analysis. Utilize advanced machine learning algorithms and statistics:regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Develop and implement AI/ML models for predictive analytics and automated decision-making in supply chain operations. Industry Research Secondary Research:Conduct market research to create company and industry primers using online secondary data or information sources. Professional and Technical Skills Python:Hands-on experience with threading limitations and multi-process architecture. MySQL:Ability to integrate multiple data sources using MySQL. Strong coding knowledge and experience with several languages (e.g., R, SQL, JavaScript, Java, CSS, C++). Familiarity with statistical and data mining techniques (e.g., GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis). Experience with advanced machine learning algorithms and statistics:regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Excellent spoken and written English communication skills, with the ability to participate in global team calls. Additional Information: Work Experience:9-11 years of relevant experience in data modeling, ETL automation, AI/ML, and front-end design. Academic Qualifications:Bachelors or Masters degree in Engineering, Mathematics, Computer Science, or a related field. Extensive experience in handling and classifying spend data using AI/ML Techniques. Strong leadership and team management skills. Proficiency in MS Excel and MS PowerPoint. High attention to detail, accuracy, and innovative problem-solving skills. Preferred experience in supply chain management, with a focus on applying AI/ techniques to optimize operations. About Our Company | AccentureQualification Experience:9+ years Educational Qualification:Bachelors or Masters degree

The IT Strategy Consultant Join our team in Technology Strategy for an exciting career opportunity to enable our most strategic clients to realize exceptional business value from technology Practice: Technology Strategy & Advisory, Capability Network I Areas of Work: Tech M&A, Digital, Cloud, IT Strategy I Level: Manager | Location: Bangalore/Gurgaon/Mumbai/Pune/Chennai/Hyderabad/Kolkata | Years of Exp: 10 to 15 years Explore an Exciting Career at Accenture Do you believe in creating an impactAre you a problem solver who enjoys working on transformative strategies for global clientsAre you passionate about being part of an inclusive, diverse and collaborative culture Then, this is the right place for you! Welcome to a host of exciting global opportunities in Accenture Technology Strategy & Advisory. The Practice- A Brief Sketch: The Technology Strategy & Advisory Practice is a part of Accenture Strategy and focuses on the clients most strategic priorities. We help clients achieve growth and efficiency through innovative R&D transformation, aimed at redefining business models using agile methodologies. We provide you with a great learning ground, deep-rooted in IT Strategy , where you will get an opportunity to advice and work with our key global clients, driving end-to-end transformative strategic value and business growth. As a part of this high performing team, these are some of the initiatives you will drive: Transaction Advisory and Strategy (Tech): Lead and support M&A transactions (Carve Outs / Separation / Mergers/ Integrations) with a focus on the technology sector, including IT infrastructure, software, cybersecurity, cloud computing, SaaS, AI, and emerging tech trends. IT Due Diligence and Financial and Financial Analysis: Manage and lead IT due diligence processes, evaluating financial, operational, technological, and legal aspects of technology companies / organizations being considered for acquisition. Industry & Technology Infrastructure Assessment: Understanding of client technology operations to grasp the context of global, industry, economic, technology, and social trends Draw Roadmaps for IT implementations: Pinpoint the right data-driven Digital, IT or Cloud technology strategy solutions for practical implementation road maps Monitor Digital, IT & Cloud Strategy: Managing change, monitoring, and gauging processes, and taking remedial steps Bring your best skills forward to excel in the role: Leverage your deep experience across technology strategy areas such as tech M&A Advisory, IT Separation / Integration Planning / Execution, Digital & Technology Strategy, Operating Model Design, Agile Operating Model Design, Workforce Transformation, Sourcing Strategy, IT Shared Services Strategy, Process Transformation, Value case/ business case formulation, Enterprise Architecture and Application Portfolio Strategy Excel as a long-term trusted advisor and partner by providing thought leadership and profound knowledge of market trends. Understand and deploy the key value drivers of a business , how they impact the scope and approach of the engagement Create expert content and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions. Demonstrate strong understanding of a specific industry , client or technology and function as an expert to advise senior leadership. Manage budgeting and forecasting activities and build financial proposals Read more about us. The rise of forerunners Recent Blogs Qualification Your experience counts! MBA from a tier 1 institute Your prior experience- 5 8 years of M&A Advisory, Strategy Consulting or Investment banking experience Experience in the example offerings:M&A advisory (tech), Separation planning & execution, Integration Planning & Execution, IT Due Diligence, Experience in at least 2 of the example offerings:Tech Strategy, Tech Operating Models, IT Shared Services Strategy, Cloud Transformation, Industry & New Technology, Technology ROI/Cost Take Out, Modern Architecture, Data-Driven Enterprise 3+ years of experience in financial modeling, valuation analysis, scenario testing and writing business cases (quantitative and qualitative) to support strategic business initiatives, process improvement initiatives, or IT transformation 2+ years of experience leading or managing large teams effectively including planning/structuring analytical work, facilitating team workshops, and developing technology strategy recommendations Good knowledge of technology and enterprise architecture concepts through practical experience and knowledge of technology trends e.g. Mobility, Cloud, Digital, Collaboration A strong understanding in any of the following industries is preferred:Financial Services, Retail, Consumer Goods, Telecommunications, Life Sciences, Transportation, Hospitality, Automotive/Industrial, Mining and Resources or equivalent domains Exposure to industry frameworks e.g. TOGAF, DODAF desirable but not essential Whats in it for you An opportunity to work on transformative projects with key G2000 clients Potential to Co-create with leaders in strategy, industry experts, enterprise function practitioners and, business intelligence professionals to shape and recommend innovative solutions that leverage emerging technologies. Ability to embed responsible business into everythingfrom how you service your clients to how you operate as a responsible professional. Personalized training modules to develop your strategy & consulting acumen to grow your skills, industry knowledge and capabilities Opportunity to thrive in a culture that is committed to accelerate equality for all. Engage in boundaryless collaboration across the entire organization. About Accenture: www.accenture.com About Accenture Strategy & Consulting: https://www.accenture.com/us-en/Careers/capability-network Accenture Capability Network | Accenture in One Word come and be a part of our team.

Job Title - Data Science Consultant S&C GN Management Level : Consultant Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary : We are seeking a highly skilled and motivated Data Science Consultant to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:4+ years in data science Education:Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. About Our Company | Accenture Qualification Experience: 4-8 years in data science Educational Qualification: Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field.