Senior Naval Architecture Specialist

1 week ago

Mumbai, Maharashtra, India beBeeNaval Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Key Responsibilities

Develop and implement digital solutions for large container ships, focusing on areas such as building ship digital twins, fuel consumption-power curves, vessel hydrodynamic performance models, predictive models for parametric/synchronous rolling in rough sea weather conditions, and diagnosing hull fouling margins.

Work closely with data scientists to understand business requirements, translate them into actionable tasks, and build impactful solutions that drive adoption and articulate value.

  • Analyze container ship operations data, including historical data, noon reports, EEXI reports, and HF data.
  • Help conceptualize building digital twins of large container vessels, including new and old ships in the fleet.
  • Identify relevant data needed to build container ship digital twins.
  • Collaborate with data scientists to provide domain inputs for building digital twins.
  • Build digital twin models that include fuel performance curves, vessel hydrodynamic stability, vessel safety thresholds at bad weather conditions, power decomposition, and other models as needed.
  • Model the effects of windage, vessel speed, drift, trim, heel, hull condition, propeller condition, engine condition, waves impact, wind impact, and currents impact on fuel consumption.
  • Derive parameters like trim, metacentric height, and windage from various sources of base data for each vessel in scope.
  • Develop tactical solutions for avoiding parametric and synchronous rolling, including methods to alert concerned people with recommendations.
  • Share vessel digital twin models for weather re-routing where necessary.
  • Recommend vessel speed through water, overconsumption alerts, fouling margin, and other optimization strategies.

Required Skills and Qualifications

  • At least 12-20 years of experience in naval architecture, including ship design, vessel digital twin, fuel performance curves, and other related areas.
  • 5+ years of hands-on experience in conceptualizing and building container vessel fuel consumption curves and other ship hydrodynamic performance models.
  • Hands-on experience with building or running solutions like vessel digital twins, vessel hydrodynamic simulation, and other relevant tools.
  • Strong understanding of data science subjects, including simulation, optimization, machine learning models, and other relevant techniques.
  • Excellent consulting skills, including leadership in uncertain and ambiguous situations, problem-solving, and trouble-shooting.
  • Excellent communication skills, including spoken, written, and client-facing roles.
  • Ability to guide teams in developing analytics solution blueprints that balance business context and technical details.
  • Ability to analyze pros-and-cons of different analytic options and articulate such choices to technical and business audiences.
  • Confident communication with Director/VP-level stakeholders and executive presence in interactions with CXO-level stakeholders.

Benefits

Designation will be commensurate with expertise/experience. Compensation packages among the best in the industry.

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