Junior Data Scientist

3 weeks ago

Bengaluru Karnataka, India Weir Group Full time

Job Title: Junior Data Scientist

Division Group Data and Analytics

Location: Bangalore, Hybrid

Purpose of Role:

- As a junior data scientist, you will work on various data projects that support our business objectives and enhance our customer experience.
- You will collaborate with senior data scientists, data engineers, and business stakeholders to understand the data needs, perform data analysis, and build data products.
- You will also contribute to the development and maintenance of our data infrastructure, pipelines, and frameworks.
- Members will be involved in various stages of algorithm development from research to production, which includes AI model development for embedded, real-time, edge and cloud environments.

Why choose Weir:
Be part of a global organization dedicated to building a better future: At Weir, the growing world depends on us. It depends on us constantly reinventing, quickly adapting and continually finding better, faster, more sustainable ways to access the resources it needs to thrive. And it depends on each of us doing the best work of our lives. It’s a big challenge - but it is exciting.

An opportunity to grow your own way: Everything moves fast in the dynamic world of Weir. This creates opportunities for us to take on new challenges, explore new areas, learn, progress and excel. Best of all, there is no set path that our people must take. Instead, everyone is given the support and freedom to tailor-make their own career and do the best work of their lives.

Feel empowered to be yourself and belong: Weir is a welcoming, inclusive place, where each individual’s contribution is recognized and all employees are encouraged to innovate, collaborate and be themselves. We continually focus on people and their wellbeing. We believe in fairness and choose to be honest, transparent and authentic in everything we do.

Key Responsibilities:
Safety First: Demonstrate 100% commitment to our zero harm behaviours in support of our drive towards developing a world class safety culture.
- Perform data collection, cleaning, processing, and analysis using various tools and techniques.
- Communicate and present data findings and recommendations to stakeholders and clients.
- Research and learn new data technologies and best practices.

Job Knowledge/Education and Qualifications:

- Bachelor's degree in Engineering or higher degree in Computer science, statistics, mathematics, engineering, or a related field.
- At least one year of experience in data science, analytics, or a similar role.
- Proficient in Python, SQL, and other programming languages for data analysis and manipulation.
- Familiar with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiar with common data science libraries, such as pandas, numpy, scikit-learn, pytorch etc.
- Knowledge of statistical and machine learning techniques such as regression, classification, clustering, natural language processing, etc.
- Strong analytical and problem-solving skills, attention to detail, and curiosity.
- Excellent communication and presentation skills, both verbal and written.
- Ability to work independently and in a team environment.

Founded in 1871, Weir is a world leading engineering business with a purpose to make mining operations smarter, more efficient and sustainable. Thanks to Weir’s technology, our customers can produce essential metals and minerals using less energy, water and waste at lower cost. With the increasing need for metals and minerals for climate change solutions, Weir colleagues are playing their part in powering a low carbon future. We are a global family of 11,000 uniquely talented people in over 60 counties, inspiring each other to do the best work of our lives.
- Weir is committed to an inclusive and diverse workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, veteran status, disability, age, or any other legally protected status._

minerals (division)

LI-AB1 (Recruiter personal #)

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