9 Aimms Jobs

About The Company BP Energy is a global leader in the energy sector, committed to delivering innovative and sustainable energy solutions. With a rich history spanning over a century, BP Energy focuses on transforming the energy landscape by integrating advanced technology, fostering sustainability, and driving operational excellence. The companys diverse portfolio includes oil and gas exploration, refining, renewable energy projects, and digital innovation initiatives aimed at enhancing customer experience and operational efficiency. BP Energys dedication to responsible energy production and its vision to become a net-zero company by 2050 underscores its commitment to environmental stewardship and societal impact. About The Role We are seeking a highly skilled Data Modeller Senior SME to join BP Energys dynamic Data & Analytics team, specifically supporting the Castrol business unit. As part of our ongoing digital transformation, this role is pivotal in modeling and maintaining curated datasets within the Castrol Data ecosystem. The successful candidate will work closely with cross-functional teams across Digital Operational Excellence, Technology, and various Castrol units, including PUs, HUBs, functions, and markets, to ensure the integrity, usability, and strategic value of data assets. This role involves leveraging advanced data modeling techniques, supporting analytics, data science, operational management information, and contributing to the broader digital business strategy. The position offers an exciting opportunity to influence data-driven decision-making processes and foster innovation by utilizing cutting-edge tools such as MLOPS environments, PySpark Pro, Gurobi, and Python-based analytics. Qualifications The ideal candidate will possess a degree in an analytical field such as IT, engineering, or a related discipline, or have at least five years of relevant experience in data modeling and analytics. Proven expertise in delivering complex data models and curated datasets for large-scale transformation projects is essential. A broad understanding of multiple data domains and their integration points is required, along with strong problem-solving skills and a strategic mindset. Familiarity with data science tools like Python, Amazon SageMaker, GAMS, AMPL, ILOG, and AIMMS is highly desirable. Candidates should demonstrate the ability to work across various levels of detail, from analytics and statistics to systems design, and possess excellent collaboration and influencing skills to drive value across multiple teams and stakeholders. Responsibilities Design, develop, and maintain advanced data models and curated datasets that support the Castrol Data ecosystem, ensuring alignment with the Data Modelling Framework. Collaborate with cross-functional teams across Digital Operational Excellence, Technology, and business units to understand data requirements and translate them into scalable data models. Support the deployment and continuous improvement of the MLOPS environment, including tools like PySpark Pro and Gurobi, to facilitate advanced analytics and data science initiatives. Translate complex analytical insights into actionable business recommendations, ensuring data quality, consistency, and accessibility. Participate in the development of analytics dashboards and proof of concepts using PowerBI and other visualization tools. Contribute to data governance practices and promote best practices for data management and security. Support the growth of data science capabilities within the team and across the wider organization, fostering a culture of innovation and continuous learning. Engage with stakeholders at all levels, including senior leadership, to influence data strategy and promote data-driven decision-making. Benefits BP Energy offers a comprehensive benefits package designed to support the well-being and professional growth of its employees. This includes competitive compensation, health insurance, retirement plans, and opportunities for career development through training and mentorship programs. Employees also gain access to a collaborative and inclusive work environment that encourages innovation and recognizes individual contributions. Additionally, BP Energy promotes work-life balance through flexible working arrangements and supports ongoing learning initiatives to keep skills current with industry advancements. Equal Opportunity BP Energy is committed to fostering an inclusive workplace where diversity is valued. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, sex, gender identity, sexual orientation, age, marital status, socioeconomic background, neurodiversity, veteran status, or disability. We welcome applications from all qualified candidates and provide accommodations during the recruitment process for individuals with accessibility needs. Our goal is to create a workplace where everyone can thrive and contribute to our shared success. Show more Show less

As a Senior Supply Chain Consultant, you are a strategic force behind network transformation. Your key role is to design, simulate, and refine end-to-end supply chain networks - including suppliers, production sites, distribution hubs, and customer regions - by conducting robust scenario analyses and evaluating trade-offs between cost and service. Leveraging powerful tools such as Llamasoft/Supply Chain Guru, AIMMS, Gurobi, or Optilogic, you construct mathematical models to test hypothetical situations - like shifting demand, relocating facilities, or reconfiguring transport routesand determine the most effective network design that optimally balances cost efficiency, service performance, agility, environmental impact, and risk. Youll transform analytical insights into actionable strategies and compelling business cases - emphasizing cost efficiencies, enhanced delivery performance, and strengthened capacity resilience. Youll engage with senior stakeholders to communicate these recommendations and collaborate with cross-functional partners across procurement, operations, IT, and finance to implement network enhancements and establish enduring design standards. Your impact empowers clients to shift from instinct-based decisions to a data-driven approach, building agile and future-ready supply chains Key responsibilities: Design and optimize end-to-end supply chain networks, spanning suppliers, manufacturing sites, distribution centres, and customer regions Conduct scenario-based modelling and trade-off analyses to assess cost, service, flexibility, sustainability, and risk Develop mathematical models using tools such as Llamasoft/Supply Chain Guru, AIMMS, Gurobi, or Optilogic to simulate what-if situations (e.g., facility relocations, demand shifts, and transportation redesigns) Translate complex analytics into strategic recommendations and comprehensive business cases, focusing on cost savings, delivery efficiency, and capacity resilience Communicate findings and network strategies to senior stakeholders in a clear and compelling manner Collaborate cross-functionally with procurement, operations, IT, and finance teams to operationalize network changes and embed new design standards Champion the shift from intuition-led to data-driven supply chain decision-making Enable clients to build agile, efficient, and future-ready supply chain Collaborate with internal teams, including operations team, business development, and implementation leads. Mentor junior consultants and support their development through internal reviews, knowledge sharing, and on-the-job training. Continuously explore and promote innovative methods, tools, and best practices to enhance solution design delivery. Qualifications: Bachelors or Masters degree in engineering, Supply Chain Management, or Operations Research. Minimum 5 years of experience in Supply Chain Network Modeling including suppliers, production sites, distribution hubs, and customer regions. Technical expertise in any of the Network modeling tools like Llamasoft/Supply Chain Guru, AIMMS, Gurobi, or Optilogic. Excellent stakeholder engagement, communication, and project management skills. Demonstrated ability to mentor junior team members and work in cross-functional, multicultural teams. If you are interested in this opportunity, please apply via this LinkedIn post. Show more Show less

Entity: Customers & Products Job Family Group: Project Management Group Job Description: As bp transitions to a coordinated energy company, we must adapt to a changing world and maintain driven performance. bps customers & products (C&P) business area is setting up a business and technology centre (BTC) in Pune, India . This will support the delivery of an enhanced customer experience and drive innovation by building global capabilities at scale, using technology, and developing deep expertise . The BTC will be a core and connected part of our business, bringing together colleagues who report into their respective part of C&P, working together with other functions across bp. This is an exciting time to join bp and the customers & products BTC! About the role: As the Data Modeller Senior SME for Castrol you will collaborate with business partners across Digital Operational Excellence, Technology, and Castrols PUs, HUBs, functions, and Markets to model and sustain curated datasets within the Castrol Data ecosystem. The role ensures agile, continuous improvement of curated datasets aligned with the Data Modelling Framework and supports analytics, data science, operational MI, and the broader Digital Business Strategy. On top of the Data lake we now have enabled the MLOPS environment (PySpark Pro) and Gurobi with direct connections to run the advance analytics and data science queries and algorithms written in python. This enables the data analyst and data science team to incubate insights in an agile way. The Data Modeller role will chip in and enable the growth trajectory on data science skills and capabilities within the role, the team and the wider Castrol data analyst/science community, data science experience is a plus but basic skills would suffice to start. Experience & Education: Education: Degree in an analytical field (preferably IT or engineering) or 5+ years of relevant experience Experience: Proven track record in delivering data models and curated datasets for major transformation projects. Broad understanding of multiple data domains and their integration points. Strong problem-solving and collaborative skills with a strategic approach. Skills & Competencies: Expertise in data modeling, data wrangling of highly complex, high-dimensional data (ER Studio, Gurobi, SageMaker PRO). Proficiency in translating analytical insights from high-dimensional data. Skilled in PowerBI data modeling and proof of concept design for data and analytics dashboarding. Proficiency in Data Science tools such as Python, Amazon SageMaker, GAMS, AMPL, ILOG, AIMMS, or similar. Ability to work across multiple levels of detail, including Analytics, MI, statistics, data, process design principles, operating model intent, and systems design. Strong influencing skills to use expertise and experience to shape value delivery. Demonstrated success in multi-functional deployments and performance optimization. BP Behaviors for Successful Delivery: Respect: Build trust through clear relationships Excellence : Apply standard processes and strive for executional completion One Team: Collaborate to improve team efficiency NOTE: The Internal Job Title for the role will be Data Modeller SME Lead You will work with: You will be part of a 20 member Global Data & Analytics Team. You will operate peer to peer in a team of global seasoned experts on Process, Data, Advanced Analytics and Data Science. The Global Data & Analytics team reports into the Castrol Digital Enablement team that is managing the digital estate for Castrol where we enhance scalability, process and data integration. This D&A team is the driving force behind the Data & Analytics strategy managing the Harmonized Data Lake and the Business Intelligence derived from it, in support of the Business strategy and is a key pilar of value enablement through fast and accurate insights. As the Data Modeller SME lead you will be exposed to a wide variety of collaborators in all layers of the Castrol Leadership and our partners in GBS and Technology. Through Data Governance at Value centre you have great exposure to the operations and have the ability to influence and inspire change through value preposition engagements. Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is not available for remote working Skills: Change control, Commissioning, start-up and handover, Conflict Management, Construction, Cost estimating and cost control (Inactive), Design development and delivery, Frameworks and methodologies, Governance arrangements, Performance management, Portfolio Management, Project and construction safety, Project execution planning, Project HSSE, Project Leadership, Project Team Management, Quality, Requirements Management, Reviews, Risk Management, Schedule and resources, Sourcing Management, Stakeholder Management, Strategy and business case, Supplier Relationship Management Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bps recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. Show more Show less

You are invited to join ORMAE, a successful Tech start-up founded by Dr. Amit Garg, a Guinness World Record Holder and IIT Delhi Graduate, renowned for his achievements in Global Math Championships. With 30+ Global Clients, including 12+ $1B+ Clients, ORMAE has undertaken 50+ Optimization & Data Science Projects worldwide, spanning countries like USA, Germany, UAE, Saudi Arabia, Japan & India. Backed by 3 Angel Investors from UAE, ORMAE is a pioneering Operations Research & Data Science consulting company, specializing in converting revolutionary digital business transformation ideas into innovative Optimization and Data Science solutions. As an experienced Operations Research Scientist Manager/ Sr. Manager, you will play a crucial role in delivering solutions for the complex problems faced by our esteemed clients. This leadership position entails managing and mentoring a team of 15+ high potential OR Scientists. You will have the opportunity for international travel, enhancing your career growth prospects. The ideal candidate should possess at least 9 years of experience in designing and implementing complex/large scale optimization solutions, with exposure to Operations Research algorithm design and implementation. Advanced analytics experience is highly preferred. An in-depth understanding of mathematical modeling, including column generation, cutting plane & LP tools like Cplex, Gurobi, GAMS, and AMPL is expected, with a preference for AIMMS knowledge. Proficiency in Optimization & statistical software such as Cplex, Gurobi, Google OR tool, Arena, SAS, SPSS is desirable. A scientific mindset and keen interest in Operation Research algorithms like routing optimization, mathematical modeling, meta-heuristics, heuristics, forecasting, simulation model, inventory optimization, and supply chain management are essential. Effective Team and Client Management skills are crucial for this role. Additional skills such as programming experience in Python/Java/C#/ C++/R of the optimization algorithm will be advantageous. A degree in Operations Research, Computer Science (with operations research experience), Industrial Engineering, Statistics, Business Analytics, or a related field from a reputed institute is required. Joining ORMAE offers a range of benefits including working with a dynamic team, international travel opportunities, and exposure to analytics for real-time problem-solving. The organization also provides a meritocracy-based Career Progression, Global Exposure, Livewire Environment, Great Technical cross-training & mentorship, Onsite Opportunities, and ESOPS options for all. Don't miss this chance to be a part of a happening start-up in the vibrant city of Bengaluru. For further details, feel free to contact Suren @ 8978920749 OR Vidhya @ 7904541818.,

You should have 3-5 years of experience and be located in Jamshedpur, Kalinga Nagar, or Kolkata. Your responsibilities will include developing various optimization models using classical and evolutionary techniques, system simulation models, analyzing process and business data for optimization, maintaining computer programs, analyzing and improving manufacturing processes, developing customized optimization algorithms, and creating hybrid simulation and visualization models. You should have a B.Tech/BE or M.Tech/MS in Mechanical, Metallurgical, Electrical, Electronics, Computer Science, Instrumentation, Industrial Engineering, or Operations Research. Your experience should include optimization logic development, system simulation, programming, and process troubleshooting. Exposure to different optimization tools and mathematical models is preferred, as well as a basic understanding of statistics. Your technical competencies should include optimization, system simulation, programming, system engineering, flow design, logic building, scenario analysis, proficiency in RDBMS such as PostgresQL or MySQL, and programming languages like R, MATLAB, or Python. Your key performance indicators will involve identifying and solving business-wide problems using Big Data and Operations Research techniques, building, validating, testing, and deploying models and algorithms, defining hypotheses and executing necessary tests and experiments, developing creative algorithms using OR techniques, and effectively communicating analysis to team members and stakeholders.,

You will be supporting the Network Design COE by developing robust data, analytics, and modeling frameworks to facilitate strategic and tactical decision-making. Your responsibilities will include developing and managing global supply chain network models using tools like Llamasoft (SCGX), Optilogic, or AIMMS to optimize manufacturing, sourcing, distribution, and inventory flows. Collaborating with the Advanced Analytics & Data Science team to create and maintain a centralized Supply Chain Modeling Database is crucial. Additionally, you will enhance and maintain automation frameworks to ensure seamless refresh and scalability of network models. It is essential to build and promote supply chain network visualization capabilities across the organization using tools such as Power BI or Tableau. Conducting scenario analysis to assess cost, service, and risk trade-offs to support strategic initiatives like greenfield/brownfield studies and sustainability-driven redesigns will also be part of your role. You will be responsible for setting up Standard Operating Processes (SOPs) and driving process improvements by identifying and implementing changes that eliminate non-value-added activities and align with industry best practices. Auditing the effectiveness and sustainability of improvement initiatives is necessary to ensure long-term value realization. Contributing to the development of standardized methodologies and documentation for network design and optimization processes will be essential. Collaboration with all relevant teams and functions is crucial for effective working. Developing and maintaining strong relationships with internal stakeholders across Sourcing, Logistics, Manufacturing, and Finance is key. Understanding stakeholder requirements and translating them into actionable network design strategies is a critical aspect of the role. Forecasting growth opportunities, preparing capability roadmaps, and building future-ready supply chain design competencies will also be part of your responsibilities. You will lead and support global purchasing support enhancement projects to ensure alignment with broader supply chain strategies. Defining, tracking, and publishing key performance indicators (KPIs) and metrics that reflect the effectiveness and impact of the network design function is essential. Using data-driven insights to promote continuous improvement and strategic alignment is crucial for success. For this role, you must have 10-12 years of hands-on experience in supply chain analytics and network modeling, covering end-to-end design across manufacturing, sourcing, distribution, and inventory optimization. Proficiency in data manipulation tools like SQL, Alteryx, or other ETL platforms is required. Strong experience with data visualization tools such as Power BI or Tableau is necessary. Familiarity with network optimization tools like Llamasoft SCGX, Optilogic, AIMMS, or JDA SC Strategist is preferred. A solid understanding of supply chain domains including manufacturing, capacity planning, demand/supply planning, warehousing, and transportation is essential. Exposure to advanced modeling techniques in capacity planning, sourcing strategy, inventory optimization, and transportation network design is advantageous. Strong communication skills that can engage both technical and non-technical audiences are required. Experience working with ERP systems like SAP is a plus. Overall, we are looking for a candidate with 12+ years of experience in Supply Chain and/or related fields, who can fulfill the responsibilities outlined above effectively.,

Entity: Customers & Products Job Family Group: Project Management Group Job Description: As bp transitions to a coordinated energy company, we must adapt to a changing world and maintain driven performance. bps customers & products (C&P) business area is setting up a business and technology centre (BTC) in CITY, COUNTRY . This will support the delivery of an enhanced customer experience and drive innovation by building global capabilities at scale, using technology, and developing deep expertise . The BTC will be a core and connected part of our business, bringing together colleagues who report into their respective part of C&P, working together with other functions across bp. This is an exciting time to join bp and the customers & products BTC! Job Title: Data Modeller SME Lead About the role: As the Data Modeller Senior SME for Castrol you will collaborate with business partners across Digital Operational Excellence, Technology, and Castrols PUs, HUBs, functions, and Markets to model and sustain curated datasets within the Castrol Data ecosystem. The role ensures agile, continuous improvement of curated datasets aligned with the Data Modelling Framework and supports analytics, data science, operational MI, and the broader Digital Business Strategy. On top of the Data lake we now have enabled the MLOPS environment (PySpark Pro) and Gurobi with direct connections to run the advance analytics and data science queries and algorithms written in python. This enables the data analyst and data science team to incubate insights in an agile way. The Data Modeller role will chip in and enable the growth trajectory on data science skills and capabilities within the role, the team and the wider Castrol data analyst/science community, data science experience is a plus but basic skills would suffice to start. Experience & Education: Education: Degree in an analytical field (preferably IT or engineering) or 5+ years of relevant experience Experience: Proven track record in delivering data models and curated datasets for major transformation projects. Broad understanding of multiple data domains and their integration points. Strong problem-solving and collaborative skills with a strategic approach. Skills & Competencies: Expertise in data modeling, data wrangling of highly complex, high-dimensional data (ER Studio, Gurobi, SageMaker PRO). Proficiency in translating analytical insights from high-dimensional data. Skilled in PowerBI data modeling and proof of concept design for data and analytics dashboarding. Proficiency in Data Science tools such as Python, Amazon SageMaker, GAMS, AMPL, ILOG, AIMMS, or similar. Ability to work across multiple levels of detail, including Analytics, MI, statistics, data, process design principles, operating model intent, and systems design. Strong influencing skills to use expertise and experience to shape value delivery. Demonstrated success in multi-functional deployments and performance optimization. BP Behaviors for Successful Delivery: Respect: Build trust through clear relationships Excellence : Apply standard processes and strive for executional completion One Team: Collaborate to improve team efficiency You will work with: You will be part of a 20 member Global Data & Analytics Team. You will operate peer to peer in a team of global seasoned experts on Process, Data, Advanced Analytics and Data Science. The Global Data & Analytics team reports into the Castrol Digital Enablement team that is managing the digital estate for Castrol where we enhance scalability, process and data integration. This D&A team is the driving force behind the Data & Analytics strategy managing the Harmonized Data Lake and the Business Intelligence derived from it, in support of the Business strategy and is a key pilar of value enablement through fast and accurate insights. As the Data Modeller SME lead you will be exposed to a wide variety of collaborators in all layers of the Castrol Leadership and our partners in GBS and Technology. Through Data Governance at Value centre you have great exposure to the operations and have the ability to influence and inspire change through value preposition engagements. Travel Requirement Negligible travel should be expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is not available for remote working Skills: Change control, Commissioning, start-up and handover, Conflict Management, Construction, Cost estimating and cost control (Inactive), Design development and delivery, Frameworks and methodologies, Governance arrangements, Performance management, Portfolio Management, Project and construction safety, Project execution planning, Project HSSE, Project Leadership, Project Team Management, Quality, Requirements Management, Reviews, Risk Management, Schedule and resources, Sourcing Management, Stakeholder Management, Strategy and business case, Supplier Relationship Management Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bps recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks. Show more Show less

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

Job Title : Data Modelling SME Lead About the role: As the Data Modelling Senior SME you will collaborate with business partners across Digital Operational Excellence, Technology, and Castrols PUs, HUBs, functions, and Markets to model and sustain curated datasets within the Castrol Data ecosystem. The role ensures agile, continuous improvement of curated datasets aligned with the Data Modelling Framework and supports analytics, data science, operational MI, and the broader Digital Business Strategy. On top of the Data lake we now have enabled the MLOPS environment (PySpark Pro) and Gurobi with direct connections to run the advance analytics and data science queries and algorithms written in python. This enables the data analyst and data science team to incubate insights in an agile way. The Data Modeller role will chip in and enable the growth trajectory on data science skills and capabilities within the role, the team and the wider Castrol data analyst/science community, data science experience is a plus but basic skills would suffice to start. Experience & Education: Education: Degree in an analytical field (preferably IT or engineering) Experience: Overall exp of 10 years; 5+ years of relevant experience Proven track record in delivering data models and curated datasets for major transformation projects. Broad understanding of multiple data domains and their integration points. Strong problem-solving and collaborative skills with a strategic approach. Skills & Competencies: • Expertise in data modeling, data wrangling of highly complex, high-dimensional data (ER Studio, Gurobi, SageMaker PRO). • Proficiency in translating analytical insights from high-dimensional data. • Skilled in PowerBI data modeling and proof of concept design for data and analytics dashboarding. • Proficiency in Data Science tools such as Python, Amazon SageMaker, GAMS, AMPL, ILOG, AIMMS, or similar. • Ability to work across multiple levels of detail, including Analytics, MI, statistics, data, process design principles, operating model intent, and systems design. • Strong influencing skills to use expertise and experience to shape value delivery. • Demonstrated success in multi-functional deployments and performance optimization. BP Behaviors for Successful Delivery: Respect: Build trust through clear relationships Excellence : Apply standard processes and strive for executional completion One Team: Collaborate to improve team efficiency