Data Scientist

Job Title: Data Scientist

At Sandvik Mining & Rock Technology India Pvt. Ltd. (Part of Sandvik Group), we offer you a world of opportunities. Our diverse busine

sses and global network enable you to explore your potential and thrive. So now we challenge you: Think one step further and then take it!

YOUR MISSION

Business Area Sandvik Mining and Rock Solutions is a global leading supplier in equipment and tools, parts, service and technical solutions for the mining and construction industries. Applications include rock drilling, rock cutting, loading and hauling, tunnelling and quarrying. Parts & Services Division is now looking for a Data Scientist to support the growing demand for analytics. You will be designing and building market leading solutions to boost the business of internal and external customers. This position full-time, permanent and based in Tampere, Finland

What difference will you make?

As a Data Scientist, you are responsible for developing advanced analytics solutions. You work with Data Engineers, Software Developers and other subject matter experts to gain and share insights into data. Your role contributes directly to improving fleet’s productivity, safety and sustainability. Your produced results will help reduce energy usage and material wastage. You will report to the Productivity & Reliability Centre Manager.

The main responsibilities are as follows:

• Building dashboard solutions based on customer request

• Combine telemetry, maintenance and logistics data to develop valuable insights and solutions

• Participate in design real-time anomaly detection based on time-series modelling

• Participate in the design and execution phase of data pipelines

• Proactively identify and champion solutions that solve complex problems across multiple data sources

• Depending on your skills, build state-of-the-art predictive models and algorithms to support operations and business decisions

Your profile

Strong mathematical & analytical background and good coding skills are key to succeed in this role. You have a degree in applied physics/mathematics or computer/data science. You have the curiosity to explore new ideas and develop them into robust solutions in collaboration with the team. You have the needed skills and qualities to work in analytics, including:

• Proficiency in Excel

• Experience in working with analytics tools and programming languages such as Python (Pandas, Pyspark, Plotly).

• Experience in working with common visualization tools like PowerBI including M-Query, DAX and native queries in SQL.

• Basic knowledge of statistics including data cleaning and manipulation

• Curious mind and ability to work independently.

The following skills are considered distinct advantages:

• Programming skills with JavaScript and Grafana

• Knowledge of data modelling and database technologies

• Basic knowledge of applied analytics and machine learning methods

• Previous experience in software development and data engineering.

You value the opportunity to work with both in-house R&D as well as with monitoring experts around the world to create new analytics solutions. Experience in mining/construction or heavy machinery industry is welcome. You are confident in presenting to different audiences, influencing others, and collaborating across organizations, cultures, and geographies. Strong knowledge of written and spoken English is essential.

What is it that we offer?

You'll be joining a cohesive and powerful global team that thrives in an entrepreneurial, fast-paced and dynamic environment. Sandvik offers a collaborative and supportive culture that will suit people who love autonomy and don’t want to be held back. Your professional development will be actively encouraged whenever you wish to broaden your expertise or growth into a leader. At Sandvik, we believe that diversity of experience, perspective and background will lead to a better environment for our employees, our business and, thereby, our customers. We have an inclusive company culture where our values are Innovation, Fair Play, Customer Focus and Passion to Win. Visit our stories hub, LinkedIn or Facebook to get to know us better.