216 Predictive Jobs

Job Summary We are looking for a talented Data Scientist to join our team. The ideal candidate will have a strong foundation in data analysis, statistical models, and machine learning algorithms. You will work closely with the team to solve complex problems and drive business decisions using data. This role requires strategic thinking, problem-solving skills, and a passion for data. Job Responsibilities Analyse large, complex datasets to extract insights and determine appropriate techniques to use. Build predictive models, machine learning algorithms and conduct A/B tests to assess the effectiveness of models. Present information using data visualization techniques. Collaborate with different teams (e.g., product development, marketing) and stakeholders to understand business needs and devise possible solutions. Stay updated with the latest technology trends in data science. Develop and implement real-time machine learning models for various projects. Engage with clients and consultants to gather and understand project requirements and expectations. Write well-structured, detailed, and compute-efficient code in Python to facilitate data analysis and model development. Utilize IDEs such as Jupyter Notebook, Spyder, and PyCharm for coding and model development. Apply agile methodology in project execution, participating in sprints, stand-ups, and retrospectives to enhance team collaboration and efficiency. Education IC - Typically requires a minimum of 5 years of related experience.Mgr & Exec - Typically requires a minimum of 3 years of related experience.

KEY RESPONSIBILITIES Efficient & Reliable Independent Contributor Independently design and implement complex data science projects, from initial concept through final deployment. Solve critical business problems with minimal oversight, ensuring the delivery of high-quality, impactful solutions. Proactively identify and address potential issues or opportunities for improvement in existing models and processes. Leadership and Mentorship Mentor and provide technical guidance to junior data scientists and team members. Foster a culture of continuous learning and improvement within the team. Advanced Model Development and Generative AI Lead the design, development, and deployment of advanced predictive models, LLMs, and machine learning solutions. Ensure the scalability, reliability, and performance of data science solutions, implementing MLOps, and LLMOps, best practices. Strategic Collaboration Collaborate with business stakeholders to identify and prioritize opportunities for leveraging data to drive strategic business solutions. Communicate complex analytical concepts and findings to non-technical stakeholders, influencing decision-making at the highest levels. Research and Innovation Conduct in-depth research and analysis to develop innovative data science solutions that address complex business problems. Drive the adoption of cutting-edge techniques and best practices in data science, machine learning, and AI across the organization. Data Pipeline Management Oversee the end-to-end data pipeline, from data collection and processing to model deployment, monitoring, and optimization. Implement robust validation and monitoring processes to ensure data quality and integrity. Thought Leadership Stay abreast of the latest trends and advancements in the field of data science. Actively contribute to the organization's thought leadership through publications, presentations, and participation in industry events. QUALIFICATIONS Bachelors, Masters or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field. 8+ years of experience in data science or a related field, with a proven track record of leading and delivering high-impact projects. Deep expertise in advanced machine learning techniques, statistical modeling, and AI. Strong proficiency in programming languages such as Python, with extensive experience in machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Advanced skills in SQL and experience with big data technologies. Proven experience with MLOps practices and tools for model deployment, monitoring, and optimization. Exceptional problem-solving skills and a strategic mindset, with the ability to tackle complex data challenges. Strong leadership and mentorship abilities, with experience guiding and developing junior team members. Outstanding communication skills, both written and verbal, with the ability to effectively convey complex technical concepts to diverse audiences.

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Pyramid overview A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you ll be challenged to harness Target s impressive data breadth to build the algorithms that power solutions our partners in in Marketing, Supply Chain Optimization, Network Security and Personalization rely on Every Scientist on Target s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance, and to elevate Target s culture and apply retail domain knowledge. About the role As a Lead Data Scientist, you ll influence by interacting with the Data Sciences team, Product teams, Scientist/Engineer individual contributors from other pillars, and business partners. You will perform within the scale and scope of your role by defining solutions and beginning to identify problems to solve and contribute to Data Sciences and Target s culture by modeling and contributing to the culture. You ll get the opportunity to use your expertise in one or more of the following areasmachine learning, probability theory & statistics, optimization theory, Simulation, Econometrics, Deep Learning, Natural Language processing or computer vision. We will look to you to own design and implementation of an algorithmic solution (e.g., recommendation or forecasting algorithm), including data understanding, feature engineering, model development, validation and testing, and deployment to a production environment. You ll drive development of problem statements that capture the business considerations, define metrics/measurement to validate model performance, and drive feasibility study with data requirements and potential solutions approaches to be considered. You ll evaluate tradeoffs of simple vs complex models/solutions in determining the right technique to employ for a business problem and develop and maintain a nuanced understanding of the data generated by the business, including fundamental limitations of the data. You ll leverage your proficiency in one or more approved programming languages (Java, Scala, Python, R), and ensure foundational programming principles in developing code (best practices, writes unit tests, code organization, basics of CI/CD etc.) are followed in developing the team s products/models. You ll not only stitch together basic data pipelines for a given problem and own design and implementation of individual components within Data Science/Tech applications, but also articulate the technical strategy, value of technology, and impact on the business. As you do so, you ll collaborate with engineers, scientists, and business partners/product owners to create algorithmic solutions that are performant and integrated into applications. We ll look to you to mentor and provide technical support within a team, including mentoring junior team members, and present your work and your team s work to business partners and other Data Sciences teams. With a deeper understanding of your functional area of responsibility, you ll support agile ceremonies, collaborate with peers across multiple products, communicate and collaborate with business partners, and demonstrate an understanding of areas outside your scope of responsibility. The exciting part of retailIt s always changing! Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. About you: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) and 6+ years of professional experience or equivalent industry experience Master s degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) Good knowledge and experience developing optimization, simulation, and statistical models Strong analytical thinking skills. Ability to creatively solve business problems, innovating new approaches where required Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory Good working knowledge of mathematical and statistical concepts, MILP, algorithms, and computational complexity Passion for solving interesting and relevant real-world problems using a data science approach Experience in implementing advanced statistical techniques like regression, clustering, PCA, forecasting (time series) etc. Able to produce reasonable documents/narrative suggesting actionable insights Excellent communication skills. Ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across geographies/time zones Know More About us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Collect, clean, and analyze data from manufacturing systems (MES, ERP, SCADA, etc.) to monitor performance and identify trends. Develop dashboards and reports to visualize key performance indicators (KPIs) such as throughput, yield, downtime, and cycle time. Collaborate with operations, engineering, and quality teams to understand process challenges and propose data-backed solutions. Conduct root cause analysis on production issues and recommend corrective actions. Automate data collection and reporting processes to improve efficiency and accuracy. Present findings and recommendations to stakeholders in a clear and compelling manner.

Urgent* *Your one share can give Job who need it* *Post - Electrical Maintenance Engineer* *Education* BE/ Diploma in Electrical *Location Pune Chakan* *Interview available* *Experience* -3-06 yrs *CTC -4.50-5.00 lpa* *Contact -9356395439* *JD* Experience in *CNC, VMC & Conventional machine electrical Maintenance* & Documents work.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way youd like, where youll be supported and inspired by a collaborative community of colleagues around the world, and where you ll be able to reimagine what s possible. Join us and help the world s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Resourcing the project. The Project Manager will collaborate with the IA regional Operation Leads and her/his People Staffing Partner to assign named resources to the project in accordance with the Statement of Work, always accounting for correct margin and utilization Be the single point of contact for the client embracing the entire scope of technologies being delivered by Capgemini IA Anticipate, identify and communicate risks and attention points to the clients Ensure IA Practice frameworks and methodologies are diligently executed by the project team and continuously ensure the quality of delivery is as per Capgemini standards Define, prepare and drive project governance for the clients (project committees, steering committees etc) Primary Skills Should have exposure to executing projects in Cloud environments (GCP (Preferable)/Azure/AWS) Should have understanding of the various components of Cloud infrastructure Should have knowledge about latest technologies including GenAi(Predictive(MLE, Deep Learning)/Agentic/Generative) Should have executed few projects technically hands on Should know Python to understand the challenges and support the teams Should have understanding of model building and training Should have experience in managing projects in AI/ML. Should have end to end project management life cycle for implementing AI projects Secondary Skills Certifications Prince/PMP/AI Related Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of 22.5 billion.

Role Summary: As a Lead Data Scientist, you will drive strategic data initiatives, lead advanced analytics projects, and mentor a team of data scientists. You will collaborate cross-functionally to translate business problems into data-driven solutions, leveraging machine learning, statistical modeling, and big data technologies. Key Responsibilities: Leadership & Strategy: Lead end-to-end data science projects from ideation to deployment. Define and drive the data science roadmap aligned with business goals. Mentor junior data scientists and foster a culture of innovation and collaboration. Technical Expertise: Design and implement predictive models, optimization algorithms, and statistical analyses. Develop scalable machine learning pipelines and deploy models in production environments. Perform exploratory data analysis and feature engineering on large datasets. Collaboration & Communication: Work closely with product, engineering, and business stakeholders to identify opportunities and deliver insights. Communicate complex analytical concepts to non-technical audiences effectively. Present findings and recommendations to senior leadership. Tools & Technologies: Proficiency in Python/R, SQL, Spark, and cloud platforms (AWS/GCP/Azure). Experience with ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). Familiarity with data visualization tools (e.g., Tableau, Power BI, Plotly). ML Ops Monitoring and Observability tool development - Undergraduate degree or equivalent experience. Preferred Qualifications: 1. Masters/ M tech / Ph.D. with a strong research background in machine learning or statistical modeling. 2. Certifications in cloud platforms (AWS Certified Machine Learning, Google Professional Data Engineer, etc.).

Your Role Gen AI ,Computer vision, Cloud exp , Azure Need to understand how the products are developed and even more important, as big data touches the privacy of consumers, they need to have a set of ethical Need to have a natural desire to go beneath the surface of a problem. Confident and self-secure as they more often than not will have to deal with situations where there is a lot of unknown. Good knowledge & experience in Artificial Neural Network ( ANN ), AI conversational Chatbot & Needs to be able to write the required Algorithm and coding programming. Preferably in different programming languages such as Python, Tensor Flow, Keras, AWS (ML and DL), Numpy, and Pytorch. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. Your Profile Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Predictive Modeling, and Hypothesis testing. Data scientists should have at least some of the following capabilities Cleaning data, formatting data, Having the ability to query databases & perform statistical analysis, building AI Data Modelling, validating the AI Model, and deployment. Being able to develop or program databases. Having a good understanding of design & architecture principles. What will you love working at Capgemini Every Monday, kick off the week with a musical performance by our in-house band - The Rubber Band. Also get to participate in internal sports events , yoga challenges, or marathons. At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges. Employees rate thework culture highly (4.1/5), appreciating the collaborative environment and supportive teams Hybrid work modelsandflexible timingsare common, with many roles offering remote or partially remote options

About The Role Job Title - S&C Global Network - AI - Supply Chain Analytics - Manager Management Level: 7-Manager Location: Gurugram, DDC1A, NonSTPI Must-have skills: Supply Chain Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Mandatory Skills: Must have: Good understanding of overall supply chain planning and operations of any of the industries (CPG, Life sciences, Pharma, Industrial, Resources) and connect it with analytics solutions. Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Strong experience in any one or two of the supply chain functions demand planning, inventory planning, S&OP, logistics planning, etc. Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Strong written and oral communication skills. Good to have: SME in one or more of the supply chain functions Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Experience in live data streaming and data ingestion tools. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. The ideal candidate shall be, An expert in Supply chain operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for supply chain planning areas such as demand, supply, procurement, inventory, spares, etc. planning. Interface with clients to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

Post - Maintenance Engineer Email jobpune22@gmail.com Experience - 5- 10 years Education - BE/ B-tech/ DME Contact - 9356395439 JD Documents, PLC Programing/fault finding CRCM/C

Data scientists at Thoughtworks apply a deep knowledge of statistics, modeling, machine learning algorithms and data mining techniques. This is coupled with awareness of adjacent areas, to make business value and data insights visible, enabling clear and effective decision making. They are responsible for the strategy, implementation, productionization and articulation of business impact. They collaborate with cross-functional teams and communicate findings to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members. As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems. Job responsibilities You will work collaboratively with teams/products, crafting data science and machine learning solutions that generate a big impact on customers. You will conduct experiments and develop hypotheses to solve business problems using advanced statistics techniques. You will develop and implement data science strategies that drive measurable business results. You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind. You will interact with clients from diverse domains, addressing their challenging problems. You will contribute to the growth and knowledge sharing within the data science community, with a focus on latest tech trends in the data science and machine learning space. You will address ethical concerns in data science, including privacy, bias and fairness, while adhering to ethical guidelines. Job qualifications Technical Skills You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects. You understand the specialized areas of AI and possess experience with at least one of them (i.e.: NLP/computer vision/Generative AI, etc). You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test. You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity. You analyze datasets using statistical and visualization techniques to identify patterns, trends and relationships. You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes. You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability. You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations. You are aware of data privacy regulations and ethical standards when handling sensitive information. Professional Skills You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. You dont shy away from risks or conflicts, instead you take them on and skillfully manage them. You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. You enjoy influencing others and always advocate for technical excellence while being open to change when needed.

In your role, you may be responsible for Implementing and validating predictive and prescriptive models and creating and maintaining statistical models with a focus on big data & incorporating machine learning. techniques in your projects Writing programs to cleanse and integrate data in an efficient and reusable manner Working in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions. Evaluating modelling results and communicating the results to technical and non-technical audiences Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Document solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides Preferred technical and professional experience Strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras or Hugging Face. Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc. Familiarity with cloud platforms Experience and working knowledge in COBOL & JAVA would be preferred Experience in python and pyspark will be added advantage

About The Role Job Title - S&C Global Network - AI - Supply Chain Analytics - Manager Management Level: 7-Manager Location: Bengaluru, BDC7C Must-have skills: Supply Chain Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : As part of our Data & AI practice, you will join a worldwide network of smart and driven colleagues experienced in leading AI/ML/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. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Mandatory Skills: Must have: Good understanding of overall supply chain planning and operations of any of the industries (CPG, Life sciences, Pharma, Industrial, Resources) and connect it with analytics solutions. Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Strong experience in any one or two of the supply chain functions demand planning, inventory planning, S&OP, logistics planning, etc. Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Strong written and oral communication skills. Good to have: SME in one or more of the supply chain functions Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Experience in live data streaming and data ingestion tools. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. An expert in Supply chain/ manufacturing operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for supply chain planning/operations analytics solutions areas such as asset reliability and maintenance, supply, procurement, inventory, spares, quality analytics, process analytics, simulation and mathematical optimization, demand, etc. planning. Interface with clients to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

About The Role JR: R00244779 Experience: 12-14Years Educational Qualification: Any Degree --------------------------------------------------------------------- Job Title - S&C Global Network - AI - Supply Chain Analytics - Manager Management Level: 7-Manager Location: Bengaluru, BDC7C Must-have skills: Supply Chain Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Mandatory Skills: Must have: Good understanding of overall supply chain planning and operations of any of the industries (CPG, Life sciences, Pharma, Industrial, Resources) and connect it with analytics solutions. Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Strong experience in any one or two of the supply chain functions demand planning, inventory planning, S&OP, logistics planning, etc. Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Strong written and oral communication skills. Good to have: SME in one or more of the supply chain functions Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Experience in live data streaming and data ingestion tools. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. The ideal candidate shall be, An expert in Supply chain operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for supply chain planning areas such as demand, supply, procurement, inventory, spares, etc. planning. Interface with clients to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

About The Role Job Title - S&C Global Network - AI - Supply Chain Analytics - Manager Management Level: 7-Manager Location: Chennai, CDC5B Must-have skills: Supply Chain Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Mandatory Skills: Must have: Good understanding of overall supply chain planning and operations of any of the industries (CPG, Life sciences, Pharma, Industrial, Resources) and connect it with analytics solutions. Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Strong experience in any one or two of the supply chain functions demand planning, inventory planning, S&OP, logistics planning, etc. Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Strong written and oral communication skills. Good to have: SME in one or more of the supply chain functions Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Experience in live data streaming and data ingestion tools. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. An expert in Supply chain/ manufacturing operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for supply chain planning/operations analytics solutions areas such as asset reliability and maintenance, supply, procurement, inventory, spares, quality analytics, process analytics, simulation and mathematical optimization, demand, etc. planning. Interface with clients to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

About the role: The Data Intelligence Center of Excellence is looking for a high-performing Senior Data Scientist to support Blackbaud customers through the creation and maintenance of intelligent data products . Additionally, the senior data scientist will collaborate with team members on research and thought leadership initiatives . What youll do: Use statistical techniques to manage and analyze large volumes of complex data to generate compelling insights to include predictive modeling, storytelling, and data visualization Integrate data from multiple sources to create dashboards and other end-user reports Interact with internal customers to identify and define topics for research and experimentation Contribute to white papers, presentations, and conferences as needed Communicate insights and findings from analyses to product, service, and business managers Work with data science team to automate and streamline modeling processes Manage standard tables and programs within the data science infrastructure, providing updates as needed Maintain updated documentation of products and processes Participate in team planning and backlog grooming for data science roadmap What you'll bring: We are seeking a Data Scientist with 5+ years of hands-on experience demonstrating strong proficiency in the following areas 2+years ofmachine learning and/or statistics experience 2+ years of experience with data analysis in Python, R, SQL, Spark, or similar Comfortable asking questions and performing in-depth research when given vague or incomplete specifications Confidence to learn product functionality on own initiative via back-end research, online training resources, product manuals, and developer forums Experience with Databricks, Databricks SQL Analytics is a plus

About The Role Skill required: Delivery - Sales Reporting Designation: I&F Decision Sci Practitioner Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.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. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Data & AIDesign, develop and provide reports of exports and representations of pipeline data, sales results and other relevant data points. Assess pipeline status, and sales performance, identify trends and analyze root causes. What are we looking for? Must have hands on experience with working on large data to Build Insights and analyze sales trends. Ability to connect dots and weave data into story that drives outcomes. Eye for details and able to perform descriptive, diagnostics, prescriptive and predictive analysis Must be very strong on Advance xls, Microsoft office, Google sheets, SQL, Must have hands on experience on CRM particularly Sales force and very good understanding of Sales life cycle (incl. terms) and ability to build reports, dashboards from SFDC Able to understand data connections, clean the data and work with BI developers, ETL/Data management resource, Data scientists Lead multiple projects within Multiple Digital Inside Sales Projects Oversee the development and execution of project plans, ensuring alignment with business objectives and timelines. Seeking a strong Team Lead with knowledge in Sales Analytics/ Sales Operations domain and CRM data along with the below expected Skills/Experience. Good with either of Data modelling or visualization techniques (Power BI or Tableau dashboards) Collaborate with cross-functional teams to optimize Sales strategies, customer targeting, processes. Collaborate with sales leaders to enhance revenue generation, streamline processes, and improve decision-making. Coordinate project assignments, set clear goals, and monitor progress, ensuring deliverables are completed with high quality and within set deadlines. Provide guidance, mentorship, and leadership to the team, fostering a collaborative and high-performing work environment. Manage and guide consultants / Analysts. Lead and manage a team across multiple projects within Multiple Digital Inside Sales Projects. Oversee the development and execution of project plans, ensuring alignment with business objectives and timelines. Roles and Responsibilities: In this role you are required to identify and assess complex problems for area of responsibility The person would create solutions in situations in which analysis requires an in-depth evaluation of variable factors Requires adherence to strategic direction set by senior management when establishing near-term goals Interaction of the individual is with senior management at a client and/or within Accenture, involving matters that may require acceptance of an alternate approach Some latitude in decision-making in involved You will act independently to determine methods and procedures on new assignments Decisions individual at this role makes have a major day to day impact on area of responsibility The person manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification Any Graduation

About The Role Job Title - S&C Global Network - AI Procurement Supply Chain Analytics - Manager Management Level :07 - Manager Location: Bangalore/ Gurgaon/Mumbai/Hyderabad/Kolkata/Chennai/Pune Must have skills: Machine learning, deep learning, Gen AI, cloud-based solutions (Azure, GCP, AWS), Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau. Good to have skills: Tableau/Power BI, Ariba, Coupa, Zycus, or Ivalua About The Role CL 7 [Data Science Manager Supply Chain & Operations Analytics (Sourcing and Procurement)] Job Summary : The Manager Sourcing and Procurement Analytics will be responsible for leading data-driven initiatives to optimize procurement and supply chain operations. This role requires a strong understanding of statistical methods, analytical techniques, and data science applications to drive meaningful insights. The manager will take a lead on client engagement on their projects, provide technical guidance, and lead a team of analysts to solve complex procurement and supply chain challenges using advanced analytics. Roles and Responsibilities: An expert in sourcing and procurement operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for sourcing and procurement analytics. Interface with clients to understand business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Implement advanced analytics to perform spend analytics, category analytics, contract analytics, supplier management analytics, price forecasting, supply risk analytics, etc. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. Utilize statistical models, machine learning, simulation and optimization techniques to enhance procurement and supply chain operations. Implement analytics to evaluate supplier performance, optimize procurement costs, and mitigate supply chain risks. Team Leadership & Development: Mentor and guide a team of analysts and consultants in developing analytical solutions. Foster a culture of innovation and continuous learning within the team. Ensure knowledge sharing and best practices are followed across projects. Technology and Process Optimization: Drive digital transformation in procurement using AI, machine learning, and cloud-based analytics solutions. Leverage SQL and advanced analytics tools for data preparation, manipulation, and descriptive analysis Collaborate with IT and procurement teams to improve data integration and system automation. Experience and Education: A minimum 7-9 years of experience in industrial/consulting or related areas is needed with at least 5 years of supply chain advanced analytics solutions design and delivery experience. Good to have global client experiences. Experience specifically in sourcing and procurement domain is preferred. Masters degree in Technology, Engineering, or a quantitative field (e.g., MSc in Statistics and Operations Research, M.Tech in Industrial Engineering, Applied Mathematics/Statistics, Computer Science). Certifications in one or more areas will be an added advantage:Python, AI/ML, Simulation, Optimization, any of the Cloud platforms (Azure, GCP, AWS). Technical & Professional Skills: Proven ability to drive analytics-driven procurement transformation projects. Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Experience with cloud-based solutions (Azure, GCP, AWS) for procurement analytics. Hands-on programming experience with any of the analytics tools, databases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Excellent written and verbal communication skills, with the ability to interact with senior stakeholders. Additional Information: Proficiency in data visualization tools like Tableau/Power BI. Experience with procurement tools such as Ariba, Coupa, Zycus, or Ivalua. Prior experience in client-facing roles and managing large-scale procurement analytics initiatives. About Our Company | Accenture Qualification Experience: 7-9 years of experience Educational Qualification :Masters degree in Technology, Engineering, or a quantitative field (e.g., MSc in Statistics and Operations Research, M.Tech in Industrial Engineering, Applied Mathematics/Statistics, Computer Science)

About The Role JR: R00244785 Experience: 12-14Years Educational Qualification: Any Degree --------------------------------------------------------------------- Job Title - S&C Global Network - AI - Supply Chain Analytics - Manager Management Level: 7-Manager Location: Gurugram, DDC1A, NonSTPI Must-have skills: Supply Chain Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Mandatory Skills: Must have: Good understanding of overall supply chain planning and operations of any of the industries (CPG, Life sciences, Pharma, Industrial, Resources) and connect it with analytics solutions. Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Strong experience in any one or two of the supply chain functions demand planning, inventory planning, S&OP, logistics planning, etc. Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Strong written and oral communication skills. Good to have: SME in one or more of the supply chain functions Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Experience in live data streaming and data ingestion tools. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. The ideal candidate shall be, An expert in Supply chain operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for supply chain planning areas such as demand, supply, procurement, inventory, spares, etc. planning. Interface with clients to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

Diverse Lynx is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Perform preventive maintenance & troubleshooting of CNC/VMC/Turnmill/Swiss-type machines. Minimize downtime, manage PM records, spares & manuals. Ensure smooth production & recommend tools to improve maintenance efficiency. Required Candidate profile Mechanical/Mechatronics Engineer with experience in preventive/predictive maintenance & troubleshooting of CNC- Swiss Lathe / Sliding Head , VMC, PLC-based multi-axis machines. to improve effidiency

validateAanddevelopmentdevelopmentdevelopingvalidationvalidationof advanced, ,end-to-end.contributionsRole & responsibilities As a 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 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. Preferred candidate profile • 4 -6 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 (Mandate) 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.

Designation - Executive / Sr. Executive - Utility Company - Leading MNC Glass Mfg. Company Job Location - Bharuch / Ankleshwar Qualification - B.E./ B.Tech. - Mechanical Experience - 7 yr. to 15 yrs. Total Openings - 2 Nos. Required Candidate profile Responsible for handling Operation and maintenance of various Utilities Must have good English communication Plan, monitor & control the cost Focus on safe execution of maintenance

TattvaFoundation is looking for Data Scientist to join our dynamic team and embark on a rewarding career journey Undertaking data collection, preprocessing and analysis Building models to address business problems Presenting information using data visualization techniques Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams

Project description Client is one of the well-established UK based financial service provider. They are in the process of implementing Axiom as strategic regulatory reporting solution for their Global Expansion We are looking for a strong to support our regulatory change management and horizon scanning efforts. This role will focus on proactively identifying, analyzing, and interpreting upcoming regulatory changes that impact financial reporting and compliance obligations across jurisdictions. The ideal candidate will have strong business analysis skills, a deep understanding of regulatory frameworks (e.g., Basel, MiFID, EMIR, Dodd-Frank), and experience in regulatory reporting. Experience or interest in applying artificial intelligence (AI) to automate and enhance horizon scanning is highly desirable. Responsibilities Taking up the role of Business Analyst to Conduct horizon scanning across global regulatory bodies (e.g., FCA, EBA, SEC, ESMA, MAS) to identify upcoming changes in regulatory reporting requirements. Track and analyze emerging regulations, policy updates, and consultation papers that may affect the organization's compliance obligations. Collaborate with compliance, legal, technology, and business stakeholders to assess the impact of regulatory changes on current reporting processes and controls. Translate regulatory developments into business and functional requirements for implementation by project and technology teams. Develop and maintain a regulatory change inventory or tracker with timelines, obligations, and actions needed. Support regulatory reporting initiatives and ensure alignment with new or updated rules. Leverage AI tools (e.g., NLP, machine learning models) to automate regulatory intelligence gathering and assist in predictive analysis of regulatory trends. Prepare briefings, executive summaries, and impact assessments for senior management and internal stakeholders. Participate in industry forums and working groups to stay abreast of best practices and regulatory direction. In addition, support the following processes Discovery & Assessment Participate in and review Nasdaq Discovery. Assess common tables, enrichments, and further data sourcing changes. Document specifications for common tables, enrichments, further data sourcing changes, and new files. Data Generation & Test Work with Data Analysts to complete scripts and produce necessary files. Ensure files load into the system and generate expected results in templates. Data Reconciliation Reconcile data on returns (or common data tables) with existing AWR returns. Reconcile data with the General Ledger (GL) across all solutions Address gaps in AWR returns and determine acceptable values from Axiom. Elaboration of the key tasks Conduct deep dives with client's Data Analysts (DA's) to identify data differences and establish remediation plans (short + medium term). Identify mapping differences between all 3 parties (Business Analysts, Testers and Nasdaq product team) Analyse with Axiom and Luxoft to determine if there are configuration issues in the solution. Analyse with Nasdaq to identify any product issues. Skills Must have Prior BA experience on Regulatory Reporting as well as Adenza solutions on Finrep, Corep and Liquidity Report 5+ years of working experience out of which at least 3 years in Axiom Equipped with the technical expertise to help client address challenges in implementation (driven based on good understanding of regulatory, regulatory guidance, integrating new returns and products form internal systems to third party Reg service providers (abacus, adenza etc)) Extensive experience working in Agile environment with ability to adapt quickly and work under pressure Ability to drive results keeping the long-term strategy as the focus. Ability to think strategically, see the big picture and quickly grasp complex dependencies Ability to focus on continuous improvement, cascading the values to the team Ability to clearly communicate complex technical ideas, regardless of the technical capacity of the audience Strong facilitation skills, presenting technical information to diverse nontechnical stakeholders and engaging with senior executives. Excellent communication skills with the ability to build and maintain positive relationships at every level of the organisation Ability to build, motivate and grow effective teams Nice to have Experience in reg markets like Greece, New Zealand, Columbia, Austria and Sweden. Experience or interest in applying artificial intelligence (AI) to automate and enhance horizon scanning is highly desirable. Location - Pune,Mumbai,Chennai,Banagalore