Company description
Bristlecone stands as a premier global leader specializing in AI-driven application transformation services designed specifically for modern connected supply chains.
The company actively empowers businesses worldwide by elevating operational velocity, end-to-end supply chain visibility, automated workflows, and organizational resiliency to navigate rapid market changes.
Its flagship suite of transformative digital capabilities covers key strategic pillars including Cognitive Manufacturing, Autonomous Planning, Smart Procurement, Digital Logistics, and overall enterprise Digitalization.
Services are delivered comprehensively across the entire lifecycle, encompassing digital transformation strategy, custom platform architecture design, solution implementation, and long-term optimization across diverse enterprise technology ecosystems.
Gartner consistently ranks Bristlecone among the top ten premier global supply chain service providers, reflecting its strong market reputation and technical excellence.
The organization maintains global headquarters in San Jose, California, supported by an expansive international footprint spanning strategic hubs across North America, Europe, and Asia.
Powered by a global workforce exceeding 2,500 expert technology consultants, the business drives deep domain expertise and innovation across multiple industrial sectors.
Bristlecone operates as a flagship technology subsidiary of the massive multi-billion-dollar global conglomerate, the Mahindra Group.
The organization fosters an inclusive workforce culture driven by equal opportunity principles, maintaining strict compliance standards across all global operations.
Additionally, it emphasizes rigorous enterprise information security practices to ensure maximum data protection and regulatory compliance across all client engagements.
Profile overview:
The Associate - Data Science position is an entry-level development opportunity designed specifically for analytical professionals eager to launch their careers in data science and enterprise AI solutions.
Candidates stepping into this role will join a high-performing collaborative team dedicated to delivering impactful business transformation for global client organizations.
The primary focus of this entry-level trajectory involves building foundation-level data engineering, quantitative analysis, and predictive modeling capabilities under direct mentorship.
Early-career professionals will work side-by-side with senior data scientists, gaining exposure to complex business architectures and real-world supply chain challenges.
The dynamic daily workflow encompasses structured tasks spanning raw data ingestion, automated data cleaning, preliminary exploratory data analysis, and model feature preparation.
Team members are actively tasked with supporting the end-to-end design, implementation, testing, and continuous maintenance of modern data pipelines.
The position requires developing scalable computational models using contemporary data science toolkits, software frameworks, and cloud-native technology stacks.
Associates regularly engage in data-driven problem-solving to extract actionable strategic insights, helping key business stakeholders make highly informed decisions.
Clear, concise technical documentation and cross-functional communication form essential pillars of daily operational responsibilities within this multidisciplinary group.
The role emphasizes active participation in project planning sessions, design reviews, technical sprint planning, and incremental solution delivery.
Continuous educational advancement is heavily integrated into the culture, requiring team members to explore cutting-edge advancements in generative AI and advanced analytics.
Furthermore, candidates must consistently adhere to strict corporate security, regulatory privacy, and enterprise data governance protocols across all project workflows.
Ultimately, this role serves as a launchpad for ambitious data professionals aiming to cultivate long-term expertise within supply chain analytics and enterprise artificial intelligence.
Qualifications:
Educational background requiring a completed Bachelor's degree or Master's degree in Computer Science, Data Science, Quantitative Statistics, Applied Mathematics, or a closely related technical field.
Strong foundational analytical skills coupled with robust logical problem-solving capabilities tailored for handling unstructured enterprise dataset challenges.
Demonstrated foundational proficiency in core computational programming languages used in data science workflows, specifically Python or R.
Basic conceptual knowledge and understanding of foundational machine learning algorithms, statistical modeling principles, and predictive analytics framework applications.
Working understanding or practical familiarity with quantitative data analysis techniques, data manipulation packages, and structured query operations.
Practical exposure or basic operational understanding of popular modern data visualization platforms and graphical reporting software tools.
Clear, professional, and effective verbal communication skills suitable for technical collaboration and cross-departmental team interactions.
Excellent written communication skills needed for clear technical documentation, project progress tracking, and structured reporting deliverables.
High degree of self-motivation with the proven ability to handle assigned technical tasks independently while managing project schedules efficiently.
Proactive learning mindset characterized by intense curiosity regarding modern artificial intelligence developments and emerging software ecosystems.
Adaptable personal approach towards acquiring new technical competencies and adjusting to evolving industry tools, methodologies, and frameworks.
Strong professional work ethic complemented by a constructive, solution-oriented attitude within collaborative, fast-paced technical environments.
Basic operational awareness regarding structured software engineering principles, version control workflows, and code organization practices.
Ability to synthesize raw mathematical output into digestible insights suitable for review by cross-functional engineering teams.
Willingness to adhere strictly to standardized organizational code quality guidelines, operational workflows, and software development lifecycles.
Additional info:
The position operates directly out of the vibrant technology and business hub located in Mumbai, Maharashtra, India.
Official corporate tracking identifies this active hiring opportunity under the specific internal Job Requisition ID 22566.
This recruitment drive features a structured application timeline, with formal candidate submissions accepted up until the closing deadline on August 24, 2026.
Bristlecone operates strictly as an Equal Opportunity Employer, ensuring fair consideration for all applicants regardless of demographic background.
Equal employment consideration is extended to every candidate without regard to race, skin color, religious belief, gender identity, sexual orientation, or disability status.
Employees in this role bear direct responsibility for upholding enterprise-grade Information Security policies, guidelines, and operational standards daily.
Active adherence to data protection procedures is mandatory to safeguard corporate digital assets, client information systems, and proprietary codebase repositories.
Team members are required to participate fully in ongoing organizational security training programs and demonstrate best practices when processing sensitive information.
Prompt identification and immediate reporting of any suspected data breaches or policy violations to the Chief Information Security Officer (CISO) is required.
The role provides direct access to structured career progression paths within the broader global Mahindra Group technology ecosystem.
Employees benefit from a collaborative corporate culture that prioritizes continuous technical upskilling, mentorship support, and professional growth opportunities.
Candidates will experience hands-on exposure to real-world industrial analytics implementations spanning diverse sectors including manufacturing, procurement, and global logistics.
The candidate will work in a modern office setup offering access to cutting-edge cloud architecture, enterprise tools, and analytics hardware resources.
Selected team members will collaborate regularly within globally distributed cross-functional teams spanning time zones across Asia, Europe, and North America.
This role provides a high-visibility entry point for fresh graduates and early-career specialists seeking deep specialization in enterprise data science.
Please click here to apply.
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