Entity :- Accenture Strategy Consulting Team :- Strategy Consulting- Global Network Practice :- Marketing Analytics Title :- Manager Data Science Job location :- Gurgaon About SC - Global Network :- Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. Youll work with Data Driven Merchandizing experts, and Accenture will support you in growing your own tech stack and certifications. In Applied intelligence you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for Data Driven Merchandizing capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. 5+ years of advanced experience in Data Driven Merchandizing which involves setting up Pricing/Promotions/Assortment Optimization capabilities across retail clients. Knowledge of price/discount elasticity estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Develop and Manage Data within different layers of Snowflake environment. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of Price/Promo optimization. Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide a team of 10-15 people under him/her. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking- Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management- Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress. Qualifications Who we are looking for 7+ years of work experience in consulting/analytics with a reputed organization. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL, R and Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of state space mixed-effect modeling techniques and optimization algorithms and applicability to industry data Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SQL, PySpark. Proficient in Excel, MS word, PowerPoint, etc. Strong client and team management and planning of large-scale projects with risk assessment. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Project Role :Analytics Practitioner Project Role Description :Develop business insights using predictive statistical modeling activities. Use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data. Must have skills :Data Analytics Good to have skills :NA Minimum 3 year(s) of experience is required Educational Qualification :15 years full time education Summary:As an Analytics & Modeling Practitioner, you will develop business insights using predictive statistical modeling activities. You will use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data. Your typical day will involve leveraging your expertise in data analytics to extract meaningful insights and trends from large datasets. You will collaborate with cross-functional teams to identify business problems and provide data-driven solutions. Additionally, you will contribute to the development and implementation of statistical models to support business strategies and objectives. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Develop and implement statistical models to analyze large datasets. Extract meaningful insights and trends from data using data analytics techniques. Collaborate with cross-functional teams to identify business problems and provide data-driven solutions. Conduct data analysis and present findings to stakeholders. Stay updated with the latest trends and advancements in data analytics and modeling. Professional & Technical Skills: Must To Have Skills:Proficiency in Data Analytics. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 3 years of experience in Data Analytics. This position is based at our Kolkata office. A 15 years full time education is required. Qualifications 15 years full time education

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Microsoft SQL Server Integration Services (SSIS), Microsoft SQL Server Reporting Services Good to have skills : Microsoft SQL Server Analysis Services (SSAS) Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will be responsible for developing and configuring software systems, applying knowledge of technologies, methodologies, and tools to support projects or clients in Mumbai. You will lead a team in delivering high-quality solutions throughout the product lifecycle. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead and mentor junior professionals Drive innovation and continuous improvement within the team Professional & Technical Skills: Must To Have Skills: Proficiency in Microsoft SQL Server Integration Services (SSIS) Strong understanding of database management and optimization Experience in ETL processes and data integration Knowledge of data warehousing concepts Hands-on experience in performance tuning and troubleshooting Additional Information: The candidate should have a minimum of 12 years of experience in Microsoft SQL Server Integration Services (SSIS). This position is based at our Mumbai office. A 15 years full time education is required. Qualification 15 years full time education

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Microsoft SQL Server Integration Services (SSIS) Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will be responsible for developing and configuring software systems, applying knowledge of technologies, methodologies, and tools to support projects or clients in Mumbai. Your role involves overseeing the software development process and ensuring successful project delivery. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Lead and mentor junior professionals Drive innovation and continuous improvement in software development processes Professional & Technical Skills: Must To Have Skills: Proficiency in Microsoft SQL Server Integration Services (SSIS) Strong understanding of database management and optimization Experience in ETL processes and data integration Knowledge of data warehousing concepts Hands-on experience in developing complex data transformation solutions Additional Information: The candidate should have a minimum of 12 years of experience in Microsoft SQL Server Integration Services (SSIS) This position is based at our Mumbai office A 15 years full-time education is required Qualification 15 years full time education

Job Profile Summary The Cloud NoSQL Database Engineer performs database engineering and administration activities, including design, planning, configuration, monitoring, automation, self-serviceability, alerting, and space management. The role involves database backup and recovery, performance tuning, security management, and migration strategies. The ideal candidate will lead and advise on Neo4j and MongoDB database solutions, including migration, modernization, and optimization, while also supporting secondary RDBMS platforms (SQL Server, PostgreSQL, MySQL, Oracle). The candidate should be proficient in workload migrations to Cloud (AWS/Azure/GCP). Key Responsibilities: MongoDB Administration: Install, configure, and maintain Neo4j (GraphDB) and MongoDB (NoSQL) databases in cloud and on-prem environments. NoSQL Data Modeling: Design and implement graph-based models in Neo4j and document-based models in MongoDB to optimize data retrieval and relationships. Performance Tuning & Optimization: Monitor and tune databases for query performance, indexing strategies, and replication performance. Backup, Restore, & Disaster Recovery: Design and implement backup and recovery strategies for Neo4j, MongoDB, and secondary database platforms. Migration & Modernization: Lead database migration strategies, including homogeneous and heterogeneous migrations between NoSQL, Graph, and RDBMS platforms. Capacity Planning: Forecast database growth and plan for scalability, optimal performance, and infrastructure requirements. Patch Management & Upgrades: Plan and execute database software upgrades, patches, and service packs. Monitoring & Alerting: Set up proactive monitoring and alerting for database health, performance, and potential failures using Datadog, AWS CloudWatch, Azure Monitor, or Prometheus. Automation & Scripting: Develop automation scripts using Python, AWS CLI, PowerShell, Shell scripting to streamline database operations. Security & Compliance: Implement database security best practices, including access controls, encryption, key management, and compliance with cloud security standards. Incident & Problem Management: Work within ITIL frameworks to resolve incidents, service requests, and perform root cause analysis for problem management. High Availability & Scalability: Design and manage Neo4j clustering, MongoDB replication/sharding, and HADR configurations across cloud and hybrid environments. Vendor & Third-Party Tool Management: Evaluate, implement, and manage third-party tools for Neo4j, MongoDB, and cloud database solutions. Cross-Platform Database Support: Provide secondary support for SQL Server (Always On, Replication, Log Shipping), PostgreSQL (Streaming Replication, Partitioning), MySQL (InnoDB Cluster, Master-Slave Replication), and Oracle (RAC, Data Guard, GoldenGate). Cloud Platform Expertise: Hands-on with cloud-native database services such as AWS DocumentDB, DynamoDB, Azure CosmosDB, Google Firestore, Google BigTable. Cost Optimization: Analyze database workload, optimize cloud costs, and recommend licensing enhancements. Shape Knowledge & Skills: Strong expertise in Neo4j (Cypher Query Language, APOC, Graph Algorithms, GDS Library) and MongoDB (Aggregation Framework, Sharding, Replication, Indexing). Experience with homogeneous and heterogeneous database migrations (NoSQL-to-NoSQL, Graph-to-RDBMS, RDBMS-to-NoSQL). Familiarity with database monitoring tools such as Datadog, Prometheus, CloudWatch, Azure Monitor. Proficiency in automation using Python, AWS CLI, PowerShell, Bash/Shell scripting. Experience in cloud-based database deployment using AWS RDS, Aurora, DynamoDB, Azure SQL, Azure CosmosDB, GCP Cloud SQL, Firebase, BigTable. Understanding of microservices and event-driven architectures, integrating MongoDB and Neo4j with applications using Kafka, RabbitMQ, or AWS SNS/SQS. Experience with containerization (Docker, Kubernetes) and Infrastructure as Code (Terraform, CloudFormation, Ansible). Strong analytical and problem-solving skills for database performance tuning and optimization. Shape Education & Certifications: Bachelor’s degree in Computer Science, Information Systems, or a related field. Database Specialty Certifications in Neo4j and MongoDB (Neo4j Certified Professional, MongoDB Associate/Professional Certification). Cloud Certifications (AWS Certified Database - Specialty, Azure Database Administrator Associate, Google Cloud Professional Data Engineer). Preferred Experience: 5+ years of experience in database administration with at least 3 years dedicated to Neo4j and MongoDB. Hands-on experience with GraphDB & NoSQL architecture and migrations. Experience working in DevOps environments and automated CI/CD pipelines for database deployments. Strong expertise in data replication, ETL, and database migration tools such as AWS DMS, Azure DMS, MongoDB Atlas Live Migrate, Neo4j ETL Tool. Show more Show less

Skill required: Delivery - Advanced Analytics Designation: I&F Decision Sci Practitioner Specialist Qualifications: Master of Engineering/Masters in Business Economics Years of Experience: 7 to 11 years What would you do? Data & AI You will be a core member of Accenture Operations global Data & AI group, an energetic, strategic, high-visibility and high-impact team, to innovate and transform the Accenture Operations business using machine learning, advanced analytics to support data-driven decisioning. What are we looking for? Extensive experience in leading Data Science and Advanced Analytics delivery teams Strong statistical programming experience – Python or working knowledge on cloud native platforms like AWS Sagemaker is preferred Azure/ GCP Experience working with large data sets and big data tools like AWS, SQL, PySpark, etc. Solid knowledge in at least more than two of the following – Supervised and Unsupervised Learning, Classification, Regression, Clustering, Neural Networks, Ensemble Modelling (random forest, boosted tree, etc) Experience in working with Pricing models is a plus Experience in atleast one of these business domains:Energy, CPG, Retail, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce, Health, Supply Chain Extensive experience in client engagement and business development Ability to work in a global collaborative team environment Quick Learner and Independently deliver results. Qualifications:Masters / Ph.D. Computer science, Engineering, Statistics, Mathematics, Economics or related disciplines. Roles and Responsibilities: Building data science models to uncover deeper insights, predict future outcomes, and optimize business processes for clients. Utilizing advanced statistical and machine learning techniques to develop models that can assist in decision-making and strategic planning. Refining and improving data science models based on feedback, new data, and evolving business needs. Data Scientists in Operations follow multiple approaches for project execution from adapting existing assets to Operations use cases, exploring third-party and open-source solutions for speed to execution and for specific use cases to engaging in fundamental research to develop novel solutions. Data Scientists are expected to collaborate with other data scientists, subject matter experts, sales, and delivery teams from Accenture locations around the globe to deliver strategic advanced machine learning / data-AI solutions from design to deployment. Qualifications Master of Engineering,Masters in Business Economics

Platforms (Energy) Specialist Find endless opportunities to solve our clients' toughest challenges, as you work with exceptional people, the latest tech and leading companies across industries. Practice: Energy, Industry Consulting, Capability Network I Areas of Work: Platforms | Level: Analyst | Location: Delhi, Gurgaon, Mumbai, Bangalore | Years of Exp: 0-3 years Explore an Exciting Career at Accenture Are you an outcome-oriented problem solver? Do you enjoy working on transformation strategies for global clients? Does working in an inclusive and collaborative environment spark your interest? Then, Accenture Strategy and Consulting is the right place for you to explore limitless possibilities. As a part of the Energy practice, that blends deep functional and industry knowledge, you will accelerate the reinvention journey for companies, helping them achieve profitability and staying relevant in the years ahead. Together, let's make the future of oil and gas - safer, smarter and cleaner. In this practice, you'll help drive the following: Collaborate with stakeholders to deliver client projects and develop Digital Centers of Excellence to unlock new opportunities and drive efficiencies. Manage end-to-end delivery of projects for downstream clients in the areas of strategic decision-making, project management, digital transformation, cost optimization and so on. Accelerate clients' transformation journey towards a more connected, optimized, lean and agile organization. Assist senior management and leadership for drafting proposals, writing client pitches, and developing solution architecture. Identify and quantify cutting edge industry specific digital disruption opportunities through convergence of analytics & digital capability. Bring your best skills forward to excel in the role: Ability to solve complex business problems and deliver client delight Ability to multitask and streamline multiple projects Strong writing skills to build point of views on current trends in the industry Impeccable team management skills will an ability to engage effectively with multiple stakeholders Good analytical and problem-solving skills with an aptitude to learn fast Excellent communication, interpersonal and presentation skills Cross-cultural competence with an ability to thrive in a dynamic environment Read more about us. Recent Blogs Your experience counts! MBA from Tier-I business school 0-3 years of work experience including 1 year of consulting experience Basic knowledge of Oil & Gas value chain in at least one industry segment (Upstream or Downstream) Broad knowledge in functional areas of Order to Cash, Purchase to Pay, Acquire to Retire, Record to Report is required Should have basic knowledge in any one or more of the following SAP S/4 Oil & Gas Downstream Oil and Gas SAP S/4 Oil & Gas Upstream Oil and Gas (SAP S/4 FIN+ Joint Venture accounting or Upstream Operations management.) SAP S/4 Sales and Distribution & C4C will be a plus SAP S/4 Material Management & Ariba will be a plus SAP S/4 Enterprise Asset Management SAP S/4 Production planning & Quality Management. SAP S/4 certification in any of the above SAP modules will be a plus. Must have experience working with Excel, MS PowerPoint. Knowledge of Power BI and other data analytics tools is a plus, but not mandatory. Qualifications What’s 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 everything—from 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.

Overview Overview Annalect is currently seeking a Senior Data Engineer to join our Technology team. In this role you will build Annalect products which sit atop cloud-based data infrastructure. We are looking for people who have a shared passion for technology, design & development, data, and fusing these disciplines together to build cool things. In this role, you will work on one or more software and data products in the Annalect Engineering Team. You will participate in technical architecture, design and development of software products as well as research and evaluation of new technical solutions Responsibilities Designing, building, testing, and deploying data transfers across various cloud environments (Azure, GCP, AWS, Snowflake, etc). Developing data pipelines, monitoring, maintaining, and tuning. Write at-scale data transformations in SQL and Python. Perform code reviews and provide leadership and guidance to junior developers. Qualifications Curiosity in learning the business requirements that are driving the engineering requirements. Interest in new technologies and eagerness to bring those technologies and out of the box ideas to the team. 3+ years of SQL experience. 3+ years of professional Python experience. 3+ years of professional Linux experience. Preferred familiarity with Snowflake, AWS, GCP, Azure cloud environments. Intellectual curiosity and drive; self-starters will thrive in this position. Passion for Technology: Excitement for new technology, bleeding edge applications, and a positive attitude towards solving real world challenges. Additional Skills BS BS, MS or PhD in Computer Science, Engineering, or equivalent real-world experience. Experience with big data and/or infrastructure. Bonus for having experience in setting up Petabytes of data so they can be easily accessed. Understanding of data organization, ie partitioning, clustering, file sizes, file formats. Experience working with classical relational databases (Postgres, Mysql, MSSQL). Experience with Hadoop, Hive, Spark, Redshift, or other data processing tools (Lots of time will be spent building and optimizing transformations) Proven ability to independently execute projects from concept to implementation to launch and to maintain a live product. Perks of working at Annalect We have an incredibly fun, collaborative, and friendly environment, and often host social and learning activities such as game night, speaker series, and so much more! Halloween is a special day on our calendar since it is our Founding Day - we go all out with decorations, costumes, and prizes! Generous vacation policy. Paid time off (PTO) includes vacation days, personal days, and a Summer Friday program. Extended time off around the holiday season. Our office is closed between Xmas and New Year to encourage our hardworking employees to rest, recharge and celebrate the season with family and friends. As part of Omnicom, we have the backing and resources of a global billion-dollar company, but also have the flexibility and pace of a “startup” - we move fast, break things, and innovate. Work with modern stack and environment to keep on learning and improving helping to experiment and shape latest technologies Show more Show less

AI Data Scientist Locations: Pune, India Buildings are getting smarter with connected technologies. With more connectivity, there is access to more data from sensors installed in buildings. Johnson Controls is leading the way in providing AI enabled enterprise solutions that contribute to optimized energy utilization, auto- generation of building insights and enable predictive maintenance for installed devices. Our Data Strategy & Intelligence team is looking for a Data Scientist to join our growing team. You will play a critical role in developing and deploying machine learning/Generative AI and time series analysis models in production. The Role To be successful in this role, the Data Scientist should have a deep knowledge of machine learning concepts, Large Language Models (LLM) including their training , optimization and deployment, time series models as well as experience in developing and deploying ML/Generative AI/ time series models in production. What you will do As An AI Data Scientist At Johnson Controls, You Will Help Develop And Maintain The AI Algorithms And Capabilities Within Our Digital Products. These Applications Will Use Data From Commercial Buildings, Apply Machine Learning, GenAI Or Other Advanced Algorithms To Provide Value In The Following Ways Optimize building energy consumption, occupancy, reduce CO2 emissions, enhance users’ comfort, etc. Generate actionable insights to improve building operations Translate data into direct recommendations for various stakeholders Your efforts will ensure that our AI solutions deliver robust and repeatable outcomes through well-designed algorithms and well-written software. To be successful in this role, the AI Data Scientist should be comfortable applying machine-learning concepts to practical applications while handling the inherent challenges of real-world datasets. How you will do it Contribute as a member of the AI team with assigned tasks Collaborate with product managers to design new AI capabilities Explore and analyze available datasets for potential applications Write Python code to develop ML/Generative AI/time series prediction solutions that address complex business requirements Research and implement state-of-the-art techniques in Generative AI solutions Pre-train and finetune ML over CPU/GPU clusters while optimizing for trade-offs Follow code-quality standards and best practices in software development Develop and maintain test cases to validate algorithm correctness Assess failures to identify causes and plan fixes for bugs Communicate key results to stakeholders Leverage JIRA to plan work and track issues What we look for Bachelor's / Master’s degree in Computer Science, Statistics, Mathematics, or related field. 5+ years of experience of developing and deploying ML Models with a proven record of delivering production ready ML models. Proficiency with Python and standard ML libraries, e.g., PyTorch, Tensorflow, Keras, NumPy, Pandas, scikit-learn, Matplotlib, Transformers. Strong understanding of ML algorithms and techniques, e.g., Regression, Classification, Clustering, Deep Learning, NLP / Transformer models, LLMs and Time Series prediction models. Experience in developing SOA LLM frameworks and models (Azure OpenAI, Meta Llama, etc), advanced prompt engineering techniques, LLMs fine-tuning/training. Experience in working with cloud (AWS / GCP / Azure) based ML/GenAI model development / deployment. Excellent verbal and written communication skills. Preferred Prior Domain experience in smart buildings and building operations optimization Experience in working with Microsoft Azure Cloud. Show more Show less

Database Engineer Roles and Responsibilities: • Design, implement, and maintain high-performance, scalable, and secure database systems ensuring data integrity and availability. • Monitor and optimize SQL queries, indexes, and database configurations to support efficient data retrieval, especially under high load conditions. • Perform regular database updates, migrations, transformations, and scripting tasks while minimizing downtime and ensuring data consistency. • Analyze database performance through load testing, identify bottlenecks, and recommend actionable improvements to enhance stability and speed. • Manage data security, encryption, backup policies, and disaster recovery strategies to ensure compliance and business continuity. • Collaborate with DevOps, development, and analytics teams to troubleshoot performance, connectivity, and data inconsistency issues, and implement best practices. • Develop and maintain effective database architectures, schemas, and documentation such as data dictionaries and architecture diagrams. • Proactively monitor database growth and recommend appropriate scaling strategies and resource optimization. • Contribute to the design, maintenance, and enhancement of data lakes and data warehouses to support analytics and reporting needs. • Leverage multi-database experience, including technologies such as OpenSearch, Firebase, Firestore, and PostgreSQL, to manage a diverse and dynamic data environment. • Stay updated on emerging database technologies, tools, and industry best practices to continuously improve system performance and reliability. Qualifications & Skills • Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience); MCA or M.Tech is a plus. • 5+ years of proven experience as a Database Administrator (DBA) working across both relational and non-relational database technologies. • Strong command of database security, performance monitoring, and backup and recovery processes. • Experience in database monitoring, troubleshooting, and resolving performance and connectivity issues. • Solid understanding of relational and dimensional data modeling. • Hands-on experience with cloud databases, particularly AWS. • Familiarity with clustering, replication, and high-availability (HA) database solutions. • Relevant certifications (e.g., Oracle Certified DBA, Microsoft SQL Server Certification) are an added advantage. • Exposure to DevOps tools and practices, contributing to automation, CI/CD pipelines, and cross-functional collaboration. If you believe in making an impact on society and are keen to be a part of the education sector, we would be delighted to hear from you. Show more Show less

Role & responsibilities Curious about the role? What your typical day would look like? As a Senior Data Scientist, your work is a combination of hands-on contribution to Loreum Ipsum, Loreum Ipsum, etc. More specifically, this will involve: Lead and contribute to developing sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems. Demonstrate proficiency in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code. Experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential. Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets, and derive actionable insights that lead to impactful outcomes. Work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly. Take ownership of end-to-end model development, from problem definition and data exploration to model training, validation, and deployment. Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate analytics solutions into business processes. Leverage a profound understanding of mathematical and statistical principles to guide developing and validating advanced data science models. Stay abreast of industry trends, emerging technologies, and best practices in data science, bringing innovative ideas to the team and contributing to continuous improvement. What do we expect? 6-10 years of total DS and model development experience A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role Having good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively. Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL Experience in Time Series Forecasting Idea about other machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world problems Encourage collaboration with various stakeholders and take complete ownership of deliverables. Adept understanding of various data science approaches, machine learning algorithms, and statistical methods. Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situations Effective mentoring of a team with expertise in industry/domain/functional areas. You are important to us, lets stay connected! Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire. Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.Additional Benefits: Health insurance (self & family), virtual wellness platform, and knowledge communities.

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it , our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage an d passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. ZS’s Beyond Healthcare Analytics (BHCA) Team is shaping one of the key growth vector area for ZS, Beyond Healthcare engagement, comprising of clients from industries like Quick service restaurants, Technology, Food & Beverage, Hospitality, Travel, Insurance, Consumer Products Goods & other such industries across North America, Europe & South East Asia region. BHCA India team currently has presence across New Delhi, Pune and Bengaluru offices and is continuously expanding further at a great pace. BHCA India team works with colleagues across clients and geographies to create and deliver real world pragmatic solutions leveraging AI SaaS products & platforms, Generative AI applications, and other Advanced analytics solutions at scale. Associate Consultant, Customer Success, BHCA: Customer Success – Associate Consultant design, develop and execute high-impact analytics solutions for large, complex, structured, and unstructured data sets (including big data) to drive impact on client business (topline). This person will lead the engagement for AI based SaaS product deployment to clients across industries. Leverage their strong Data Science, analytics and engineering skills to build Advanced analytics processes, build scalable and operational process pipelines and find data-driven insights that help our clients solve their most important business problems and bring optimizations. Associate Consultants also engage with Project Leadership team and clients to help them understand the insights, summaries, implications and make plans to act on them. What You’ll Do: Deep analytics-tech expertise: Develop and implement advanced algorithms that solve complex business problems in a computationally efficient and statistically effective manner leveraging tools like PySpark, Python, SQL on Client/ZS cloud environment Execute statistical and data modelling techniques (e.g. hypothesis testing, A/B Testing setup, marketing impact analytics, statistical validity etc.) on large data sets to identify trends, figures and other relevant information with scalable and operational process implementations. Evaluating emerging datasets and technologies that may contribute to our analytical platform including good understanding of Generative AI capabilities and SaaS products. Communication, collaboration, unstructured problem solving and client engagement (in a high performing and high intensity team environment) Problem solving and Client engagement Understand client business priorities, develop product use cases, do proforma analysis for estimating business opportunity, and deploy the use case for the clients. Collaboration: Work in a cross-functional team environment to lead the client engagement and collaborate on holistic solutions comprising of best practices from Frontend and Backend engineering, Data Science, and ML Engineering area. Storyboarding & impact communication Build effective storyboards to communicate solution impact to clients and ZS Leadership Scaling mindset: Provide a structure to client engagement, build and maintain standardized and operationalized Quality Checks on team’s work and ensuring high quality client deliverables Team management Export best practices and learnings to broader team and mentor Associates on teams What You’ll Bring: Bachelor's degree in Computer Science (or Statistics) from a premier institute, and strong academic performance with analytics and quantitative coursework is required Knowledge of programming - Python (Deep Expertise), Pyspark, SQL Expertise in machine learning, regression, clustering, and classification models (preferably in a product environment) Knowledge of big data/advanced analytics concepts and algorithms (e.g. social listening, recommender systems, predictive modeling, etc.) Excellent oral and written communication skills Strong attention to detail, with a value-addition mindset Excellent critical thinking and problem-solving skills High motivation, good work ethic and maturity. 3-5 years of relevant post-collegiate work experience, preferably in industries like B2C, Product companies, in execution roles focused on Data & Decision Sciences, Data Engineering, Stakeholder management and building scalable processes. Should have hands on analytics experience where the candidate has worked on the algorithms / methodology from scratch and not merely executed existing codes and processes. Ability to coach, mentor juniors on the team to drive on the job learning & expertise building Perks & Benefits ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying At ZS, we're building a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We are most interested in finding the best candidate for the job and recognize the value that candidates with all backgrounds, including non-traditional ones, bring. If you are interested in joining us, we encourage you to apply even if you don't meet 100% of the requirements listed above. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To Complete Your Application Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At www.zs.com

Role- Analytics Consultant/Sr Consultant Location- Bangalore/Chennai/Hyderabad/Noida(Hybrid) Overview We are seeking a hands-on CPG Analytics Consultant with strong expertise in data science/data analytics, statistical modelling, and commercial analytics. This role focuses on solving business challenges in Revenue Growth Management (RGM), Trade Promotion Effectiveness, and Pricing Optimization for global consumer goods clients. You will be responsible for providing functional expertise, developing analytical models, and translating insights into business actions across sales, marketing, and commercial functions. Key Responsibilities  Design and implement analytics solutions to optimize: o Trade Promotions (ROI, uplift, cannibalization analysis) o Revenue Growth Management (pack-price architecture, mix optimization, channel strategy) o Pricing strategy (elasticity, price-pack analysis, discount optimization)  Use statistical techniques (regression, clustering, time series, forecasting) to develop models that support key commercial decisions.  Work with structured and syndicated data (e.g., POS, Nielsen/IRI, TPM systems).  Develop presentations, interactive dashboards and reports using Power BI / Tableau to visualize trends and KPIs.  Collaborate with client stakeholders and internal teams across analytics, data engineering, and domain consulting. Required Skills  4–6 years of analytics consulting experience in the CPG or Retail domain.  Strong working knowledge of Revenue Growth Management (RGM), trade and pricing analytics.  Hands-on experience with Python or R for statistical analysis and modelling.  Proficient in SQL for data extraction, manipulation, and transformation.  Strong data visualization skills using Power BI or Tableau.  Solid understanding of sales, marketing, finance, and commercial planning in the CPG space.  Exposure to syndicated data platforms (e.g., Nielsen, IRI) is a plus. Show more Show less

Sr. Executive / Assistant Manager Data Scientist Godrej Agrovet Mumbai, Maharashtra, India ------------------------------------------------------------------------------------------------------------- Job Title: Sr. Executive / Assistant Manager Data Scientist Job Type: Permanent, Full-time Function: Digital Business: Godrej Agrovet Location: Mumbai, Maharashtra, India About Godrej Agrovet: Godrej Agrovet Limited (GAVL) is a diversified, Research & Development focused agri-business Company dedicated to improving the productivity of Indian farmers by innovating products and services that sustainably increase crop and livestock yields. GAVL holds leading market positions in the different businesses it operates - Animal Feed, Crop Protection, Oil Palm, Dairy, Poultry and Processed Foods. GAVL has a pan India presence with sales of over a million tons annually of high-quality animal feed and cutting- edge nutrition products for cattle, poultry, aqua feed and specialty feed. Our teams have worked closely with Indian farmers to develop large Oil Palm Plantations which is helping in bridging the demand and supply gap of edible oil in India. In the crop protection segment, the company meets the niche requirement of farmers through innovative agrochemical offerings. GAVL through its subsidiary Astec Life Sciences Limited, is also a business-to-business (B2B) focused bulk manufacturer of fungicides & herbicides. In Dairy and Poultry and Processed Foods, the company operates through its subsidiaries Creamline Dairy Products Limited and Godrej Tyson Foods Limited. Apart from this, GAVL also has a joint venture with the ACI group of Bangladesh for animal feed business in Bangladesh. For more information on the Company, please log on to www.godrejagrovet.com Roles & Responsibilities: Data Cleaning, Preprocessing & exploration: Prepare data for analysis, ensuring quality, consistency, and completeness by handling missing values, outliers, and transforming data. Explore and analyze large and complex datasets to identify patterns, trends, and anomalies Machine Learning Model Development: Build, train, and deploy machine learning models on the Databricks platform, leveraging tools such as ML flow for experiment with techniques like regression, classification, clustering, and time series analysis Model Evaluation & Deployment: Develop and select features to improve model performance, leveraging Databricks' distributed computing capabilities for efficient processing. Familiarity with CI/CD tools (e.g., Jenkins, GitLab) for automating deployment and testing of data pipelines Collaboration: Collaborate with data engineers, analysts, and business stakeholders to understand business requirements and translate them into data-driven solutions. Data Visualization and Reporting: Create visualizations and dashboards within Databricks, Power BI and other tools to communicate insights to technical and non-technical stakeholders. Continuous Learning: Stay up to date with the latest developments in data science, machine learning, and industry best practices to continually enhance skills and processes. Key Skills: Knowledge of statistical analysis techniques, hypothesis testing, and machine learning Familiarity with NLP, time series analysis, and computer vision or A/B testing Databricks and Apache Spark: Proficiency with Databricks, Spark DataFrames and MLlib Programming: Proficiency in (Python, TensorFlow, Pandas, scikit-learn, PySpark, NumPy) with experience in writing scalable code for large datasets SQL: Strong SQL skills for data extraction, manipulation, and analysis Familiarity with ML flow for tracking, model versioning, and reproducibility. Familiarity with cloud data storage and processing tools (e.g., Azure Data Lake, AWS S3). Educational Qualification: Education: Bachelors degree in Statistics, Mathematics, Computer Science, or a related field Experience: 3+ years of experience in data science or analytical role Experience: As a skilled Data Scientist, you will leverage your analytical skills to uncover insights from complex datasets, build predictive models, and inform data-driven decisions across the organization. You’ll work closely with cross-functional teams, including business, engineering, and product, to apply advanced statistical methods, machine learning, and domain knowledge to solve real-world problems. What’s in it for you? Be an equal parent Maternity support, including paid leave ahead of statutory guidelines, and flexible work options on return Paternity support, including paid leave New mothers can bring a caregiver and children under a year old, on work travel Adoption support; gender neutral and based on the primary caregiver, with paid leave options No place for discrimination at Godrej Gender-neutral anti-harassment policy Same sex partner benefits at par with married spouses Gender transition support We are selfish about your wellness Comprehensive health insurance plans, as well as accident coverage for you and your family, with top-up options Uncapped sick leave Mental wellness and self-care programmes, resources and counselling Celebrating wins, the Godrej Way Structured recognition platforms for individual, team and business-level achievements Performance-based earning opportunities https://www.godrejcareers.com/benefits/ An inclusive Godrej Before you go, there is something important we want to highlight. There is no place for discrimination at Godrej. Diversity is the philosophy of who we are as a company. And has been for over a century. It’s not just in our DNA and nice to do. Being more diverse - especially having our team members reflect the diversity of our businesses and communities - helps us innovate better and grow faster. We hope this resonates with you. We take pride in being an equal opportunities employer. We recognise merit and encourage diversity. We do not tolerate any form of discrimination on the basis of nationality, race, colour, religion, caste, gender identity or expression, sexual orientation, disability, age, or marital status and ensure equal opportunities for all our team members. If this sounds like a role for you, apply now! We look forward to meeting you. Show more Show less

Job Description The candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. He/she 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, he/she 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. 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 Bachelor’s degree in Computer Science with 5+ 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 Us At eClerx, we serve some of the largest global companies – 50 of the Fortune 500 clients. Our clients call upon us to solve their most complex problems, and deliver transformative insights. Across roles and levels, you get the opportunity to build expertise, challenge the status quo, think bolder, and help our clients seize value About The Team eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law. Show more Show less

Locations : Mumbai | Gurgaon Who We Are We are BCG X. Our global team of 3,000 tech experts are united by a drive to make a difference. Working across industries and disciplines, we go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. BCG X provides a unique ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. We Are BCG X We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do As a Data Scientist at BCG, you will collaborate on challenging projects to increasing your understanding of complex business problems from diverse perspectives and developing new skills and experience to help you at every stage of your career. You will use data and advanced analytics to uncover innovative insights that create lasting impact for BCG and its clients. Key Competencies Applying advanced analytics and AI/ML techniques to solve complex business problems and create value for BCG clients. Conceptualizing business problems and drive frameworks. Managing engagements, client relationships, and display initiative to effectively drive solutions to client problems. Communicating effectively and professionally with clients, delivering impactful solutions and presenting insights coherently. Collaborating to work in cross-functional teams with diverse backgrounds and perspectives What You'll Bring A master’s degree or PhD in computer science, data science, mathematics, statistics, engineering, or a related field 2+ years of relevant work experience in data science, machine learning, artificial intelligence, or big data Proficiency in Python, R, SQL, and other programming languages and tools for data analysis and machine learning Experience in designing, developing, and deploying scalable and robust data products using cloud platforms such as AWS, Azure, or Google Cloud Experience in using machine learning techniques such as regression, classification, clustering, natural language processing, computer vision, etc. Familiarity with industry-specific skills such as retail analytics, healthcare analytics, financial analytics, etc. #BCGXjob Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify. Show more Show less

Job Title: Senior Data Scientist (ML/Deep Learning) Location: Gurgaon Employment Type: Full-time Department: Data Science / A3 Job Description: We are seeking a highly motivated Data Scientist with 3-5 years of experience in developing and deploying AI, deep learning and machine learning models. You will support the team in building predictive models, deploying them via APIs, and applying modern AI techniques like Transformers and LLMs. Exposure to MLOps, Git, and cloud platforms is a plus. This role offers hands-on learning in a fast-paced, real-world environment. Key Responsibilities: Experience of deploying at least 1 AI/Ml project into production. Experience with Generative AI concepts and tools, including transformer-based models (e.g., LLaMA, GPT) and frameworks like LangChain and LangGraph. Strong grasp of core machine learning algorithms, including statistical analysis, linear/logistic regression, tree-based models (e.g., Random Forest, XGBoost), and unsupervised learning techniques such as clustering Knowledge of implementing deep learning models such as CNNs, RNNs, and Transformers using PyTorch or TensorFlow for NLP and computer vision tasks. Skilled in developing and deploying scalable AI solutions using FastAPI and Docker, leveraging Generative AI for real-time insights and data processing. Basic understanding of cloud platforms such as AWS and GCP for hosting and scaling machine learning models. Proficient in Python and data libraries like Pandas and NumPy, with working knowledge of SQL for data extraction and preprocessing. Familiarity with MLOps fundamentals is a plus. Required Qualifications: Bachelor’s or Master's Degree in a quantitative field (Computer Science, Statistics, Economics, Mathematics, Operations Research, Analytics, or a related quantitative field) 3-5 years of practical experience working on end-to-end machine learning and deep learning projects, including model development, evaluation, and deployment. Show more Show less

Job Description 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 Bachelor’s 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 Us At eClerx, we serve some of the largest global companies – 50 of the Fortune 500 clients. Our clients call upon us to solve their most complex problems, and deliver transformative insights. Across roles and levels, you get the opportunity to build expertise, challenge the status quo, think bolder, and help our clients seize value About The Team eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law. Show more Show less

Locations : Mumbai | Gurgaon Who We Are We are BCG X. Our global team of 3,000 tech experts are united by a drive to make a difference. Working across industries and disciplines, we go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. BCG X provides a unique ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. We Are BCG X We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions. What You'll Do As a Data Scientist at BCG, you will collaborate on challenging projects to increasing your understanding of complex business problems from diverse perspectives and developing new skills and experience to help you at every stage of your career. You will use data and advanced analytics to uncover innovative insights that create lasting impact for BCG and its clients. Key Competencies Applying advanced analytics and AI/ML techniques to solve complex business problems and create value for BCG clients. Conceptualizing business problems and drive frameworks. Managing engagements, client relationships, and display initiative to effectively drive solutions to client problems. Communicating effectively and professionally with clients, delivering impactful solutions and presenting insights coherently. Collaborating to work in cross-functional teams with diverse backgrounds and perspectives What You'll Bring A master’s degree or PhD in computer science, data science, mathematics, statistics, engineering, or a related field 2+ years of relevant work experience in data science, machine learning, artificial intelligence, or big data Proficiency in Python, R, SQL, and other programming languages and tools for data analysis and machine learning Experience in designing, developing, and deploying scalable and robust data products using cloud platforms such as AWS, Azure, or Google Cloud Experience in using machine learning techniques such as regression, classification, clustering, natural language processing, computer vision, etc. Familiarity with industry-specific skills such as retail analytics, healthcare analytics, financial analytics, etc. #BCGXjob Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify. Show more Show less

Role - CPG Analytics Manager/Sr Manager Location- Chennai/Hyderabad/Bangalore/Noida Work Setup- Hybrid Role Overview As a Manager / Sr. Manager – CPG Analytics, you will lead end-to-end solutioning and delivery of analytics programs for global consumer goods clients. This role requires a unique blend of domain expertise, quantitative acumen, project leadership, and stakeholder engagement. You will serve as a trusted advisor to clients, translating commercial challenges into scalable analytical solutions while managing delivery excellence across multifunctional teams. Key Responsibilities Client Advisory & Domain Leadership  Act as a strategic analytics advisor across Sales, Marketing, Trade, and Commercial functions within the CPG space.  Translate client business goals into structured analytics programs across trade promotion optimization, pricing strategy, and revenue growth initiatives.  Provide industry best practices and benchmarks to enhance client decision-making and maturity. Solution Design & Analytical Rigor  Lead analytics engagements focused on: o Trade Promotion Effectiveness (TPE) and ROI analytics o Price-pack architecture and elasticity modelling o Revenue Growth Management (RGM) levers o Route-to-market and channel performance analytics o Market Mix Modelling  Apply advanced statistical and machine learning techniques using tools like Python/R, SQL, and Power BI/Tableau.  Guide solution frameworks, models, and visualizations to ensure actionable outcomes for business users. Project & Stakeholder Management  Drive end-to-end program execution: scoping, planning, stakeholder alignment, delivery oversight, and impact measurement.  Manage cross-functional teams across data science, engineering, visualization, and domain consulting.  Ensure consistent delivery quality, governance, and client communication across regions and markets. Practice Development & Growth  Identify whitespace opportunities and new use cases within existing accounts to grow the CPG analytics footprint.  Partner with Pre-Sales, Solutions, and BD teams in proposal development and PoC planning.  Contribute to the development of accelerators, frameworks, and reusable assets for analytics delivery. Qualifications & Experience Must-Have  9–12 years of experience in data & analytics roles with a strong focus on the Consumer Packaged Goods (CPG) industry.  Deep functional expertise in trade, pricing, promotions, and revenue growth strategies.  Proven experience leading analytics engagements with demonstrable business impact.  Proficiency with tools like Python/R, SQL, Power BI/Tableau, and exposure to cloud-based data platforms (AWS, Azure, GCP).  Strong project management, stakeholder engagement, and executive presentation skills. Preferred  Experience with syndicated CPG POS data (Nielsen, IRI) and Marketing data.  Familiarity with advanced modelling techniques: regression, time series, clustering, optimization.  Exposure to global markets and multicultural client engagements. Why Join Straive?  Drive high-impact analytics transformations for leading global CPG brands.  Be part of a fast-growing, innovation-led analytics consulting practice.  Work alongside top-tier talent across AI, data science, and business domains.  Thrive in a flexible, entrepreneurial, and high-ownership work environment. Show more Show less

About The Role We are seeking an experienced Senior MSSQL Developer with 3+ years of professional database development experience to lead our database initiatives. In this role, you will be responsible for designing, implementing, and optimizing enterprise-grade database solutions that support our Angular frontend and Spring Boot backend applications. You will serve as the subject matter expert for all database-related activities and mentor junior team members while establishing best practices for database development. Key Performance Indicators Architect and implement 2-3 complex database solutions per quarter with 98% requirements fulfillment Improve overall database performance by 35% within first year Reduce database-related production incidents by 40% year-over-year Achieve 99.9% database availability through proper design and maintenance Implement data governance standards resulting in 100% compliance with data regulations Lead at least 5 knowledge transfer sessions per quarter on database best practices Responsibilities Design and architect sophisticated database solutions for enterprise applications Lead database modeling efforts ensuring scalability, performance, and data integrity Develop and maintain complex stored procedures, functions, triggers, and views Implement advanced performance tuning techniques for high-volume, mission-critical databases Design and develop database security architecture including encryption, access control, and audit trails Create and maintain comprehensive database documentation including data dictionaries and ERDs Establish database coding standards, patterns, and best practices for the development team Develop and implement database migration strategies with minimal downtime Collaborate with application developers to optimize database integration with Spring Boot backend Mentor junior database developers and provide technical guidance Analyze and troubleshoot complex database performance issues Design and implement database monitoring solutions and preventative maintenance procedures Evaluate and recommend database technologies and tools to improve development efficiency Qualifications Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience) 3+ years of professional MSSQL development experience with progressively increasing responsibilities Proven track record of designing and implementing at least 5 enterprise-grade database solutions Experience optimizing database systems processing 1M+ transactions daily Demonstrated ability to reduce query execution time by 50%+ for complex operations Experience leading database projects and mentoring junior developers Strong understanding of database security principles and implementation Excellent analytical and problem-solving skills Effective communication skills for both technical and non-technical stakeholders Technical Skills Required: Advanced Microsoft SQL Server expertise (2016 or later versions) Expert-level T-SQL programming including complex stored procedures, CTEs, and dynamic SQL Proficiency with database performance tuning, query optimization, and execution plan analysis Experience with database high availability solutions (AlwaysOn, clustering, mirroring) Advanced indexing strategies and statistics management Database security implementation including row-level security and data masking Experience with SSIS, SSRS, and SSAS Proficiency with database version control and deployment methodologies Good to Have: Working knowledge of Spring Boot and Java for backend integration Familiarity with Angular or modern front-end frameworks Experience with Hibernate or other ORM frameworks Understanding of microservices architecture Experience with cloud database solutions (Azure SQL) Knowledge of NoSQL database technologies Measurable Achievements Expected in First Year Design and implement a comprehensive database monitoring solution reducing incident response time by 60% Architect at least 3 major database modules supporting new business initiatives Implement query optimization strategies resulting in 40% overall performance improvement Establish automated testing procedures for database changes with 95% code coverage Develop and document company-wide database standards and best practices Create a mentoring program for junior database developers Implement database security enhancements achieving 100% compliance with industry regulations Show more Show less

DETAILED DESCRIPTION: 3+ years’ experience with full stack software development 4+ years' Experience with frontend frameworks like React, Angular, or Vue.js. 4+ years' Experience with backend technologies.NET Core, ASP .NET, Node.js, Express, Django, or Flask. Working knowledge on databases (SQL and NoSQL). At least 4 years of work experience in Site Reliability Engineering for a team. 4+ years systems LINUX /WINDOW experience in an IT environment, preferably in a technical industry (Server Deployment, Monitoring & Support) 2+ years in AWS/OCI/GCP Experience in ANSIBLE & Ansible Towers (Playbook, Inventories, Scheduling, Repo etc) Knowledgeable of clustering technologies, server farming techniques, load balancing, F5 Big IP or other hardware load balancing. Experience with Disaster Recovery techniques including backup and restoration technologies, replication strategies, fail-over and recovery. Experienced with automation technologies for rapid deployment of server builds and software deployment. In addition, knowledge on SRE process, Monitoring, Telemetry & CI/CD (AzDevOps) and IAC tools - Terraform. Experienced with installation/configurations on Apache, Samba, FTP, NFS, LDAP. Demonstrated project management skills Ability to work overtime when necessary. REQUIRED SKILLS: At least 5 years of work experience in Site Reliability Engineering for a team. 4+ years Experience/exposure with frontend frameworks like React, Angular, or Vue.js. 4+ years Experience/exposure with backend technologies .NET Core, ASP .NET, Node.js, Express, Django, or Flask. Working knowledge on databases (SQL and NoSQL). Excellent troubleshooting skills and ability to learn new technologies and adapt to it. Provide Governance & oversight to guide implementation towards solution delivery. Guide & mentor, the team to successfully deliver the projects. Excellent communication & collaboration skills. SME in build & release, automations, CAAS & various other technical capabilities. Develop to execute automated builds & releases, benchmark the industry standards & processes to ensure efficient and quality delivery and deployments. Contribute to and review deployment plans; schedule the installation of new modules, upgrades, and fixes to the production environment. Leading analytical & design activities with approved/validated technologies in par with the organization standards and vested approaches and methods. Aligns IT security and IT operations teams to ensure that all processes, including DevOps processes, can operate safely and securely. Knowledgeable of clustering technologies, server farming techniques, load balancing, F5 Big IP or other hardware load balancing. Experience with Disaster Recovery techniques including backup and restoration technologies, replication strategies, fail-over and recovery.

About the Role We are seeking an experienced Senior MSSQL Developer with 3+ years of professional database development experience to lead our database initiatives. In this role, you will be responsible for designing, implementing, and optimizing enterprise-grade database solutions that support our Angular frontend and Spring Boot backend applications. You will serve as the subject matter expert for all database-related activities and mentor junior team members while establishing best practices for database development. Key Performance Indicators Architect and implement 2-3 complex database solutions per quarter with 98% requirements fulfillment Improve overall database performance by 35% within first year Reduce database-related production incidents by 40% year-over-year Achieve 99.9% database availability through proper design and maintenance Implement data governance standards resulting in 100% compliance with data regulations Lead at least 5 knowledge transfer sessions per quarter on database best practices Responsibilities Design and architect sophisticated database solutions for enterprise applications Lead database modeling efforts ensuring scalability, performance, and data integrity Develop and maintain complex stored procedures, functions, triggers, and views Implement advanced performance tuning techniques for high-volume, mission-critical databases Design and develop database security architecture including encryption, access control, and audit trails Create and maintain comprehensive database documentation including data dictionaries and ERDs Establish database coding standards, patterns, and best practices for the development team Develop and implement database migration strategies with minimal downtime Collaborate with application developers to optimize database integration with Spring Boot backend Mentor junior database developers and provide technical guidance Analyze and troubleshoot complex database performance issues Design and implement database monitoring solutions and preventative maintenance procedures Evaluate and recommend database technologies and tools to improve development efficiency Qualifications Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience) 3+ years of professional MSSQL development experience with progressively increasing responsibilities Proven track record of designing and implementing at least 5 enterprise-grade database solutions Experience optimizing database systems processing 1M+ transactions daily Demonstrated ability to reduce query execution time by 50%+ for complex operations Experience leading database projects and mentoring junior developers Strong understanding of database security principles and implementation Excellent analytical and problem-solving skills Effective communication skills for both technical and non-technical stakeholders Technical Skills Required : Advanced Microsoft SQL Server expertise (2016 or later versions) Expert-level T-SQL programming including complex stored procedures, CTEs, and dynamic SQL Proficiency with database performance tuning, query optimization, and execution plan analysis Experience with database high availability solutions (AlwaysOn, clustering, mirroring) Advanced indexing strategies and statistics management Database security implementation including row-level security and data masking Experience with SSIS, SSRS, and SSAS Proficiency with database version control and deployment methodologies Good to Have : Working knowledge of Spring Boot and Java for backend integration Familiarity with Angular or modern front-end frameworks Experience with Hibernate or other ORM frameworks Understanding of microservices architecture Experience with cloud database solutions (Azure SQL) Knowledge of NoSQL database technologies Measurable Achievements Expected in First Year Design and implement a comprehensive database monitoring solution reducing incident response time by 60% Architect at least 3 major database modules supporting new business initiatives Implement query optimization strategies resulting in 40% overall performance improvement Establish automated testing procedures for database changes with 95% code coverage Develop and document company-wide database standards and best practices Create a mentoring program for junior database developers Implement database security enhancements achieving 100% compliance with industry regulations

Job Description The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidate should have proficiency in Python, expertise in Entity extraction, document classification, Natural Language Processing (NLP) & Natural Language Generation (NLG). Experience of developing commonly used predictive models like - Linear Regression, Decision Trees, SVM. KNN, Gradient Boost, Random Forest etc. Proficiency in cloud platforms like GCP, including experience with deploying AI applications. Solid programming skills in Python and experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proven track record of delivering successful Gen-AI projects and driving business impact. Strong understanding of text pre-processing & normalization techniques such as tokenization Excellent communication, presentation, and documentation skills. Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies. Responsibilities Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams Qualifications BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 5 years of experience in at least one of the following languages: Python, R 5 years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering/classification/decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms 1+ years of experience in developing LLM solutions for Enterprise Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database and Hadoop Ecosystem Excellent problem solving, communication, and data presentation skills Show more Show less

Performance Testing--Knowledge and experience with containers (e.g. docker) and microservices. 2. Knowledge and experience with Microsoft Azure cloud solutions and services (e.g. AKS clustering, etc.) 3. Ability to gather/review non-functional requirements from relevant stakeholders 4. Ability to identify the performance objectives, scenarios and prioritize the scenarios 5. Experience developing performance test strategies and building testing methodologies 6. Develop test scripts using Apache-JMeter & BlazeMeter 7. Experience with monitoring tools such as perfmon, Splunk, Datadog, and AppDynamics 8. Experience and ability to analyze test results and highlight deviations from Service Level Agreements (SLA) As part of the Infosys delivery team, your primary role would be to ensure effective Design, Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain. You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements. You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Show more Show less