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- Tasks: Develop predictive systems and support data-driven decision-making.
- Company: Assala Energy is a forward-thinking Oil and Gas company focused on sustainable development in Gabon.
- Benefits: Enjoy a collaborative work environment with a focus on diversity and safety.
- Why this job: Join a dynamic team and make an impact through innovative data solutions.
- Qualifications: Master’s degree in Computer Science and 2-3 years of relevant experience required.
- Other info: This is a contract role subject to IR35 compliance checks.
The predicted salary is between 36000 - 60000 £ per year.
Assala Energy is a dynamic Oil and Gas Exploration and Production company committed to the sustainable development of its assets in Gabon. We value a collaborative approach, promote diversity, and prioritize safety and integrity in all our operations.
To support the creation and development of data-driven initiatives and facilitate the transition of business processes toward a ‘Data-Driven’ methodology, you will work on the following main deliverables:
- Provide services in developing predictive systems that aid in the industrialization, production, storage, and maintenance of machine learning models.
- Offer decision-support analysis solutions in close collaboration with business teams, ensuring data insights inform key decisions.
- Work alongside the Data Engineering Consultant to design and implement the data platform’s infrastructure and data architecture for efficient data extraction, transformation, and loading (ETL).
Full scope of work with deliverables and objectives will be made available during a technical validation meeting. This is a contract opportunity offered subject to IR35 compliance checks.
Minimum Requirements:
- Master’s degree in Computer Science or equivalent.
- 2-3 years in data engineering or data science consulting, with strong ETL pipeline development and cloud-based environment experience (Azure, AWS, DataBricks, or Snowflake).
- Proficient in Python (including numpy, pandas, scikit-learn), SQL, dimensional modeling, Power BI, Git, CI/CD, and VSCode/PyCharm.
- Proficiency in English and French is a strong advantage.
- Detail-oriented, autonomous, and communicative with a strong service focus. Proactive learner with a curiosity for problem-solving and a client-centered approach.
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Data Scientist employer: Assala Energy UK Ltd
Contact Detail:
Assala Energy UK Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the specific tools and technologies mentioned in the job description, such as Azure, AWS, and DataBricks. Having hands-on experience or projects showcasing your skills in these platforms can set you apart during discussions.
✨Tip Number 2
Prepare to discuss your experience with ETL pipeline development in detail. Be ready to share examples of how you've designed and implemented efficient data extraction and transformation processes in previous roles.
✨Tip Number 3
Since collaboration is key in this role, think of instances where you've successfully worked with cross-functional teams. Highlight your communication skills and how you've used data insights to influence decision-making.
✨Tip Number 4
Given the emphasis on a client-centered approach, prepare to demonstrate your problem-solving skills. Consider discussing a challenging project where you proactively identified issues and implemented solutions that benefited the client.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Company: Familiarize yourself with Assala Energy's mission and values, especially their commitment to sustainable development and collaboration. This will help you tailor your application to align with their goals.
Highlight Relevant Experience: Emphasize your experience in data engineering or data science consulting, particularly your work with ETL pipelines and cloud environments like Azure or AWS. Be specific about your contributions and outcomes.
Showcase Technical Skills: Clearly list your technical skills, especially in Python, SQL, and tools like Power BI and Git. Provide examples of how you've used these skills in past projects to solve problems or improve processes.
Craft a Strong Cover Letter: Write a compelling cover letter that not only summarizes your qualifications but also expresses your enthusiasm for the role and how you can contribute to Assala Energy's data-driven initiatives.
How to prepare for a job interview at Assala Energy UK Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with ETL pipeline development and cloud environments like Azure or AWS. Highlight specific projects where you utilized Python libraries such as numpy, pandas, and scikit-learn.
✨Demonstrate Collaboration
Since Assala Energy values a collaborative approach, share examples of how you've worked closely with business teams to provide data-driven insights. Emphasize your ability to communicate complex data findings in an understandable way.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills. Be ready to walk through your thought process on how you would tackle a data-related challenge, especially in the context of machine learning model maintenance.
✨Highlight Your Proactive Learning
Assala Energy appreciates a proactive learner. Discuss any recent courses, certifications, or self-initiated projects that demonstrate your commitment to staying updated in the field of data science and engineering.
