As a Data Scientist-Intern, you’ll play a crucial role in extracting valuable insights from large datasets to drive data-driven decision-making within the team. Your expertise in analytical, statistical, programming, ML, and AI skills will be instrumental in shaping the organization’s success. You will work closely with cross-functional teams to analyze data, develop predictive models, improve transportation logistics, and optimize inventory management. 

Here are the key responsibilities and qualifications for this role:

•    Utilize ERP data and data science techniques to develop demand forecasting models, enabling the company to anticipate customer demand, optimize inventory levels, and streamline procurement processes.
•    Proficiency in conducting comprehensive data analysis to uncover insights, identify trends, and extract actionable intelligence from large and complex datasets. Candidates should have experience using statistical methods, data visualization techniques, and exploratory data analysis to derive meaningful conclusions. 

•    Strong programming skills in languages such as SQL, Python, R, or similar, with a focus on developing scalable and efficient AI solutions. 
•    Demonstrated experience working as a Data Scientist, AI Engineer, or in a similar role, with a strong focus on developing AI tools and algorithms. Candidates should have a portfolio showcasing successful projects where they have applied machine learning techniques to solve real-world problems and drive business value.
•    Leverage Power BI for data visualization and reporting.
•    Strong analytical and problem-solving skills, with the ability to break down complex problems by driving alignment between material supply and factory demand plan to meet customer requirements. 
•    Apply machine learning algorithms to identify patterns and predict likely errors in invoices, ordering policies, and budgets enabling the company to reduce rework and improve financial accuracy.
•    Hands-on in pattern recognition and anomaly detection ML solutions.
•    Collaborate with stakeholders to construct customer-facing reporting tools that provide insights and metrics tracking forecast accuracy, inventory levels, transportation efficiency, and other key performance indicators (KPIs).
•    Manage the development of tools to increase efficiencies throughout the team.
•    Present findings in a clear and compelling manner to stakeholders.
•    Flexibility and adaptability to work in a fast-paced and dynamic environment, with the ability to prioritize tasks, manage multiple projects simultaneously, and quickly adjust to changing requirements and priorities.
•    A passion for staying updated on the latest advancements in AI, machine learning, and data science. Candidates should demonstrate a commitment to continuous learning and professional development, with a willingness to explore new tools, techniques, and methodologies.
 

As our ideal candidate,
•    You are studying a degree in data science & business analytics, Computer Science, Mathematics, Statistics, or a related field.
•    You have at least 2 years of experience in developing and deploying machine learning models.
•    You have strong knowledge of machine learning algorithms, statistical modeling, and data analysis techniques.
•    You have hands-on experience with programming languages such as Python, Pandas, R, SQL: Experience with complex queries.
•    You have In-depth understanding of machine learning algorithms, techniques, and frameworks. Candidates should be proficient in designing, training, and evaluating machine learning models using tools such as TensorFlow, PyTorch, scikit-learn, etc. 
•    You have experience in development using cloud providers Azure (Databricks, Synapse) and AWS.
•    You know Pyspark and AzureDevops or equivalents for CICD orchestration.
•    You have experience at some level with some production-level ML lifecycle management at least with MLflow.
•    You have excellent problem-solving and analytical skills.
•    You have strong communication and interpersonal skills to work effectively with cross-functional teams.
•    Familiarity with Microsoft Access and SAP and Reinforcement Learning is considered an asset.

If you’re passionate about turning data into actionable intelligence, exploring ML and AI, and contributing to the growth of a manufacturing organization, this role might be a perfect fit for you!

Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age immigration status, disability or other applicable legally protected Characteristics to apply.
 
We thank all applicants for their interest. Please continue to monitor our website and apply for additional positions for which you are qualified and may be of interest to you.

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