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    • Job Requirements:

    • Experience building production ML pipelines for model training/prediction in Python and R. (Must have)
    • Experience working with open source ML libraries such as Sklearn, Pandas and TensorFlow (Must have)
    • Create and maintain ML model training/prediction pipelines in production
    • Create re-usable tools and frameworks for ML model deployment and monitoring
    • Experience working with large data sets, coming from varied sources (Must have)
    • Experience with both object-oriented and functional programming concepts (Must have)
    • Good knowledge of MS productivity tools (Must have)
    • Working knowledge of visualization tools (e.g. Tableau/Power BI etc.) (Good to have)
    • Experience working with ML model training/deployment tools (such as Airflow, Kubeflow, Seldon etc.) (Good to have)
    • Familiarity with data engineering tools (Spark/Kafka etc.) (Good to have)

    Key Responsiblities:

    • Interpret and analyze (structured and unstructured) data using exploratory statistical and mathematical techniques to identify trends, anomalies, and quantify business results.
    • Ability to perform data discovery tasks and work with large data sets.
    • Apply Data Mining/ Data Analysis methods using a variety of data tools, building and implementing models using algorithms and creating/ running simulations to drive optimisation and improvement across business functions.
    • Work with data scientists to refine Machine Learning (ML) model and scale it up
    • Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
    • Ability to work collaboratively with cross-functional teams to improve outcome of Research projects/BD activities/Product development/Projects execution.

    Educational Qualification:
    A Bachelor’s or Master’s in computer science or related disciplines (including Math/Statistics), with at least 2 years of relevant work experience (Must have)

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    Job Requirements:

    • JLPT N1/N2 or equivalent qualification in Japanese Language (or N3 with exceptional language skill)
    • Ability to compose grammatically correct sentences in English
    • Ability to facilitate internal/external meetings, e-conferences, interviews, etc.
    • Ability to work in a team and handle multiple stakeholders
    • Ability to take ownership and execute tasks timely while maintaining output quality
    • Basic computer proficiency (MS Office- Word, Excel, PowerPoint)

    Key Responsiblities:

    • Translate from both Japanese to English and English to Japanese, covering various domains such as DX, Sustainability, Public policy,Marketing, HR, Finance, and Strategy
    • Willing to work and engage in other tasks (e.g., Research, Administration, Project management, Client communication, Etc.). The task assignment will be considered based on the candidate’s preference
    • Project planning and managing the quality of the deliverable
    • Identify the client’s expectations and execute tasks as a professional
    • Build a quality relationship with the clients
    • Explore and implement best practices towards organizational growth
    • Create cross-cultural sensitization as a bridge between India and Japan – be conscious ofJapanese workstyle, business manners, work culture etc.

    Profession Attributes:

    • Preferable working experience of 1 to 2 years in a similar profession or Japanese proficiency level of JLPT N1/N2 or any equivalent qualification.
    • Candidates with JLPT N3 who have part-time experience and freshers with strong academics and language skills can also be considered.

    Educational Qualification:
    UG/PG (Any Specialization)

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    Job Requirements:

    • Strong written/verbal communications skills with experience in leading projects and client communication (internal or external)
    • Knowledge or demonstrated interest in emerging technology
    • Familiarity with business and technology databases (e.g., Factiva, Crunchbase, Capital IQ, Bloomberg etc.)
    • Hands-on experience with MS Office Suite, especially Excel, PowerPoint, and Word
    • Should have experience of conducting expert interviews and making minutes of meetings
    • Strong understanding of financial and strategic concepts (e.g revenue, margins, profitability analysis) and knowledge of Macro-economic indicators and industry overviews
    • Highly detail-oriented with strong analytical and storytelling capabilities
    • Ability to work independently and manage short-to-mid duration (1 week to 3 months) with quality output
    • Understanding of business etiquette, working styles, and the quality standards expected in Japanese corporate culture, or willingness to proactively learn and adapt to them
    • Collaborative team player, capable of mentoring peers and contributing to cross-cultural projects

    Work Experiences:

    2-5 years in research/consulting

    Sector Expertise:

    ICT Industry (knowledge on Cloud, AI, and comfortable with emerging technologies)

    Role Overview:

    We are seeking a Deputy Senior Researcher who brings expertise or strong interest in Digital Transformation themes — particularly in some of these:

    • Cloud Computing and Data Center Infrastructure
    • Artificial Intelligence (AI) & Generative AI
    • Foundation Models and Large Language Models (LLMs)
    • Advanced Driver-Assistance Systems (ADAS) & CASE (Connected, Autonomous, Shared, Electric) technologies
    • Digital innovation within the automotive and mobility sectors

    The candidate is expected to support and independently drive research projects, contribute to consulting deliverables, and interface with clients and internal stakeholders.

    Key Responsiblities:

    • Conduct deep-dive primary and secondary research on digital transformation trends, technologies, and sectors (cloud, AI, data centers, automotive tech)
    • Analyze macroeconomic and industry-specific trends, especially in tech-driven sectors
    • Structure, synthesize, and present research insights using frameworks like SWOT, MECE, PESTLE, and Pyramid Principle
    • Prepare detailed research reports, market assessments, benchmarking analyses, and company profiles
    • Independently Lead tasks or support client-facing meetings and communicate findings through high-quality deliverables (PPTs, summaries, Excel models)
    • Collaborate across teams to ensure insight quality and delivery excellence
    • Mentor junior team members and contribute to knowledge sharing
    • Contribute to business development and thought leadership in the digital transformation domain
    • Building brand by following the company's philosophy, being professional and delivering results to meet organization’s vision

    Educational Qualification:
    PGDM/ MBA (min 2 years of experience)

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