Tata Steel in Europe

Advanced Analytics Data Scientist

Job description

What's your job?

As Advanced Analytics data scientist you will be part of the BizDevOps team Product Quality Analytics (PQA), where you will play a key role in creating advanced data solutions to improve and capture value of product quality related use-cases.

You will be working on all aspects of the data solutions PQA maintains and will develop. You will be supported in learning new digital skills to set you up for success, plus you will be educated in all aspects of the key role products and product quality of steel plays in our organisation.

Tata’s steel products are produced through multiple lines and installations, which makes for a wide range of processes and data to understand and handle. You will play a big role in joining & transforming this data into datasets, modelling on these datasets using the latest Advanced modelling techniques. And setting up learnings, optimisations and user translations of PQA’s data products to drive impact from product quality data exercises. This results in engaging a broad range of installations, stakeholders and data-sources and underlines the cross-functional work you will encounter.

“Operations” here stands for the maintenance and troubleshooting PQA does of their existing data-sets and tools. PQA wants to make sure that our data-products are delivering output and value continuously. To give some examples, this means that time is reserved to improve stability of PQA data-products by adopting a different data-flow. Or that PQA incorporates adjusted data-sources in our existing products. Also that PQA retrains their AI models and adjusts their dashboards when needed. …

“Development” comprehends that new datasets and digital models & tools are created in so-called waves. With a multi-sprint plan new data-solutions are being created with the whole PQA-team plus possibly temporary additions depending on the subject. In a fast-paced way, the problem is examined. And with a clear implementation mindset a solution is sought to innovate & capture value out of this use-case.

“Business” stands for usage of the data solutions. Building and maintaining digital data-solutions is one thing, but translating them into value by supporting usage, driving implementation and value is another. Stakeholder engagement, operation of our own tools, translating use-cases into data-solutions all come to play here.

As PQA-member you will be set-up for success by the supportive team and will have continuous learning time available to develop yourself and your skills.

All these aspects together make this role of Advanced Analytics data scientist a various and exciting position.

Is this you?

The role of an Advanced Analytics data scientist is a challenging and multi-disciplinary function, therefore we ask you to be

  • A master’s degree in a technical study, preferably with knowledge of the steelmaking and rolling processes
  • Affinity with coding and/or computational simulations
  • Proper written and verbal communication abilities in English
  • Teamplayer who is able to speak out on insecurities in work, skills, data-sets & and tools
  • Innovative and “can do/learn” mentality
  • Eager to learn and grow in Advanced Analytics and coding
  • Preferably knowledge of Python, SQL and Spotfire
  • Preferably experience with working on Databricks and Azure DevOps (including Git)

What do we offer?

  • A wide range of development and growth opportunities within Tata Steel.
  • Very interesting secondary terms such as a variable profit sharing and a fixed end-of-year bonus of 2% and 8% holiday allowance.
  • A minimum of 37 vacation days.
  • Excellent benefits including a beneficial pension scheme.
  • A salary that depends on your education and experience up to €7.473,- gross per month.
  • Flexible working hours and a good work/life balance.

What's your department?

Your team

PQA is part of Technical – Product Management & Development. In total the team has 1 product owner/teamlead,1 scrummaster & translator, 3 Advanced Analytics engineers & scientists, 1 supporting software engineer and rotating Technical Trainees.

PQA is a frontrunner in the Advanced Analytics community at Tata Steel (and beyond), which brings energy and excitement to the team-members. Learning, trying, failing, improving, problem solving are all in a days’ work. Within the team you will have a steep learning curve and have a voice in how the team operates as PQA adopts the Agile way of working.

Your department

The department Product Management & Development is part of TSIJ Technical, and is responsible for the active management of TSIJ product portfolio, development of new steel products and extension/further improvements of existing steel products. The responsibilities of the department covers daily recipe choices, choices on mid-term product mix development & route selection. And long term investment plans to expand, improve & differentiate the product portfolio.

Furthermore, PMD is responsible for route-dependent quality aspects. Therefore PMD investigates and decides on different route aspects across work-units for steel products, in order to improve the steel product quality and/or reduce costs thereof.

Apply or learn more?

Are you excited about this job? Apply via the application button and do not forget to include your motivational letter. If you have any questions or need more information, please contact Daan van Dorp, Corporate Recruiter, 0629668047.

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Application process

  • Apply

Good choice, you have applied! We are going to review your application and contact you as soon as possible.

  • First interview

We already know a lot about you, but we would also like to know you personally and hear from you why you think you are fit with us.

  • Follow-up interview(s)

There are more colleagues who would like to get to know you. We would also like to take this opportunity to show you more about us.

  • Contract proposal

Nice, you are just ahead of the start of a new challenge. Because of our own Tata Steel cao we offer you a good employment package, which we would like to explain in a personal conversation.

  • Employed

Congratulations, we have become colleagues! Getting acquainted with the special world of steel production can start now.

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