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Data Analytics Consultant
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Industry

Computer/IT Services

Category

Engineering

Experience

Experienced

Applications are considered on a rolling basis

Location: Belgium

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Contact Person
Sanjana Khan

Job Description

At Capgemini Engineering we value excellence, care, responsibility, dynamism and innovation. We offer a job with variation that leaves plenty of room for initiative and development. In fact, we are not just offering you a job, we’re inviting you to be part of our community where we will provide you trainings, tools & grounds for professional and personal growth. Each career experience is assorted by an attractive salary package.

Your role:
As a data analytics consultant it is expected that you have a very good understanding of mathematical and statistical apparatus. Scripting skills are your main tool on a daily basis, so knowledge of programming languages and software development skills are highly desirable. The primary work environment and activity of our team is linked to engineering: therefore knowledge and understanding of physics, mechanics, electronics or related is considered as a big plus.

Among others, the expected responsibilities read as follows:
- Make use of programming and scripting skills to collect and preprocess raw data sources
- Develop and implement databases for efficient storage and management of data
- Use of statistical methods to analyze and generate useful insight from data
- Build and train mathematical models for forecasting and classification analysis
- Propose innovative ways to answer complex engineering challenges

Your profile:

Required technical qualifications:
- Master’s Degree or PhD in applied Physics, Mathematics, Computer Science or related
- Experience in data analytics related activities
- Good theoretical & practical knowledge in statistics
o Statistical hypothesis testing
o Regression methods for testing and inferring
o Associative and causal relationships
o Bayesian statistics
- Good knowledge of programming languages like R, Python, MATLAB
- Algorithm development and time series data analysis

Desired technical qualifications:
- Cloud technologies
o Azure Microsoft
o Hadoop, Spark
- Database technologies both relational (MySQL, PostgreSQL, SQLite) and non-relational (MongoDB)
- Supervised and unsupervised machine learning (classification/clustering, regression, pattern recognition)

If you are a team player, if you recognize yourself in this profile and are not afraid of taking on challenges… Apply today!

About the company

World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has more than 55,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet.

Capgemini Engineering is an integral part of the Capgemini Group, a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided every day by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2021 global revenues of €18 billion.

Get the Future You Want | www.capgemini.com

I'm interested