Data Scientist with Machine Learning and C++ skills

TN United Kingdom; Eastleigh; On-site; GBP 40,000 - 80,000; Full time

Job summary

An established industry player is seeking a Data Scientist to leverage data analytics and machine learning within the oilfield domain. This role involves applying advanced data science techniques to predict solutions in Reservoir Simulation and Field Development Planning. You will work with various programming languages, including C++ and Python, and utilize tools like R, SQL, and Hadoop to extract insights from raw data. Join a dynamic team in a collaborative Agile environment, where you can tackle complex data challenges and contribute significantly to the Scientific Software Data Science department's operations.

Qualifications

• Experience in data science and machine learning in engineering domains.
• Strong programming skills in C++, Java, Delphi, and Python.

Responsibilities

• Apply mathematical methods to solve real-world problems.
• Utilize predictive modeling techniques and tools.
• Create data visualizations using Tableau and Spotfire.

Skills

C++

Google Analytics APIs

Data science applications

Tools

R

SQL

Hadoop

Hive

Tableau

Spotfire

Job description

Data Scientist with Machine Learning and C++ Skills, Didcot

Client:

Expert Employment

Location:

Didcot, United Kingdom

Job Category:

Other

EU Work Permit Required:

Yes

Job Reference:

1c7a20ee983f

Job Views:

11

Posted:

26.04.2025

Expiry Date:

10.06.2025

Job Description:

We are seeking a Data Scientist to apply data analytics and analysis tools to predict data solutions within the oilfield domain, specifically in Reservoir Simulation and Field Development Planning. The role involves leveraging data science and machine learning automation tools to extract insights from raw data.

Key Skills:

• C++
• Google Analytics APIs for data mining and analysis
• Data science applications in engineering domains

Responsibilities:

• Applying mathematical methods and techniques to real-world problems.
• Utilizing techniques, tools, and algorithms for predictive modeling.
• Using data science tools such as R, SQL, Hadoop, Hive.
• Developing models with programming languages like C++, Java, Delphi, Python as needed.
• Working within an Agile development environment.
• Capturing telemetry data using Google Analytics.
• Creating data visualizations with tools like Tableau and Spotfire.

This position offers a fantastic opportunity to solve complex data problems and contribute to the operations of the Scientific Software Data Science department.

Additional Notes:

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Created on 26/04/2025 by TN, United Kingdom