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Established in 1995, Ford India is a wholly owned subsidiary of Ford Motor Company, a global automotive industry leader. Ford India manufactures and distributes automobiles and engines made at its modern, integrated manufacturing facilities at Maraimalai Nagar, near Chennai. The company′s models include the Endeavour, Fiesta and the Figo.

Ford′s operations in the country also include Global Business Services providing business services in the areas of IT, accounting and finance, financial services and automotive operations support, global analytics and engineering services. These operations serve Ford′s business units and skill teams globally out of centres in Chennai and Coimbatore. Ford’s businesses in India boast a 10,000-strong workforce.

What attributes do you look for when recruiting graduates?

We look for diversity and creative thinking. Candidates must be innovative and resourceful in performing the given tasks.

What key advice would you give to Indian students/graduates who would like to work for your company?

We have incorporated ONE Ford into our people processes to support employee development and drive the Company forward, while demonstrating expected behaviours that tie back to our business:

  • F Foster functional and technical excellence
  • O Own working together
  • R Role model ford values
  • D Deliver results

We would expect you to have these in order to join in our family.

Latest jobs

Data Insight & Visualisation Analyst

Location: Chennai, india

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Ford India

Chennai INDIA

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Data Insight & Visualisation Analyst

Location:
(INDIA) and Chennai
Job Reference:
9184
Functional Area/Experience:
IT / 3 Years
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Job Description:

Job Description & Qualifications

A Bachelors or Master’s degree in Engineering/ Computer Science or any other quantitative discipline with MBA, and 3+ years of Analytics or IT industry experience
Technical:

Experience with SQL and datawarehousing (e.g. Teradata/Oracle/DB2)

Experience using tools in BI, ETL, Reporting /Visualization/Dashboards

Programming experience in languages like Java, C, C++, with understanding of object-oriented programming strongly desired

Experience with multiple Operating systems (e.g., MSDOS, Linux/Unix), and Unix scripting strongly desired

Experience with data handling using SAS, R or Python desired

Exposure to Big data based analytical solutions and hands on experience with data lakes/ data cleansing/ data management

Non-technical:

Good Analysis and problem solving skills

Ability to get Insights from Data, provide visualization and story-telling.

Flexibility to explore and work with newer technologies and tools

Ability to learn quickly, adapt and set direction when faced with ambiguous scenarios

Excellent collaborative communication and Team skills

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Analyst Modeler

Location:
(INDIA) and Chennai
Job Reference:
9183
Functional Area/Experience:
IT / 3 Years
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Job Description:

Job Description & Qualifications

Candidates should have hands-on experience in developing quantitative models with an appetite

for consuming latest modelling techniques from academic journals.

They should possess the ability to translate a business problem into an analytical problem, recommend, implement and

validate quantitative models, and generate/deliver insights to stakeholders. Preference would be given to candidates that are

intellectually curious, innovative thinkers, and have demonstrated ability to solve problems independently. The role

is that of an individual contributor;

however, the candidate is expected to work in project teams of 2 to 3 people and interact

with Business partners on regular basis.

Key Roles and Responsibilities of Position:

• Understand business problems and develop

appropriate mathematical formulations

• Extract relevant data sets and mash-up data

from multiple sources & formats

• Investigate and recommend best-suited

optimization, simulation, and other quantitative

methods/tools to create robust solutions for

business problems

• Implement quantitative models in programming

Implement quantitative models in programming

languages like JAVA, C++, C#, Python, and in

packages like R, CPLEX, ILOG, AMPL, AnyLogic

• Communicate insights to Business partners by

translating complex mathematical models into

simple to understand language

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Data scientist

Location:
(INDIA) and Chennai
Job Reference:
9182
Functional Area/Experience:
/ 2 Years
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Job Description:

Job Description & Qualifications

GDIA Mission and Scope-
The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Statistics, Econometrics, Machine Learning, Big Data, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics.

Roles & Responsibilities
• Develop statistical methodologies and deploy analytical tools to support different business initiatives
• Continual enhancement of statistical techniques and their applications in solving business objectives
• Compile and analyze the results from modeling output and translate into actionable insights
• Acquire and share deep knowledge of data utilized by the team and its business partners
• Participate in global conference calls and meetings as needed and manage multiple customer interfaces
• Execute analytics special studies and ad hoc analyses
• Evaluate new tools and technologies to improve analytical processes
• Set own priorities and timelines to accomplish projects (accountability for project deliverables)
 
Efforts will focus on the following key areas:
• Various classical Statistical techniques such as Regression, Multivariate Analysis etc.

• Hands on Machine Learning tools and techniques
• Data Mining & Text Mining

• Basic knowledge of Big Data tools like Hadoop/Hive
• Time Series based forecasting modeling
• Customer Segmentation – Cluster & Factor Analysis
•  Demand prediction
• Statistical Scoring models to be used in Risk/Marketing domains
• Market Mix Modeling


Key behaviors:
• Enthusiastic and self-motivated, with ability to lead projects proactively
• Meticulous attention to detail, with an overall passion for continuous improvement
• Innovative and creative, with a logical and methodical approach to problem solving
• Credible and articulate, with excellent communication, presentation and interpersonal skills
• Ability to multi-task and manage competing priorities
Requirements

• Candidates should have significant hands-on experience with analytics projects using advanced Statistical / Econometrics / Operation Research / Actuarial or related quantitative techniques across various functions

• Exposure to Financial Services Industry - Consumer / Auto Loans, Assets, Securitization. Experience in Banks, Financial Institutions
•  Candidates will be expected to successfully prioritize and manage multiple analytical projects / ad-hoc requests
• Good technical depth with strong analytical/programing skills and ability to apply technical knowledge to do research
• R / Python or other quantitative analysis programming skills

• Optimization tools like CPLEX, GUROBI, Matlab

Educational Qualification: 
Advanced degree (Masters or PhD) in Statistics / Econometrics/ Operation Research / Finance / Actuarial Science or any other quantitative discipline or an Engineering degree with MBA from a premier institute and quantitative emphasis