Advanced Analytics Lead Job Vacancy in Benguela, Angola – Oil & Gas

Job Description

Position:Advanced Analytics Lead

Company:Schlumberger

Location:Benguela, Angola

Experience:5-7 years

Education:Bachelor’s degree in Engineering, Data Science, Computer Science or related field

Employment Type:Full-time

Industry:Oil & Gas

Department:Data & Analytics

Salary:2,500,000 – 3,500,000 SSP per annum

Vacancies:1

Company Overview

Schlumberger is a global leader in oilfield services and technology, operating across more than 85 countries. In Angola, the company supports the nation’s energy sector with innovative solutions that enhance exploration, production, and sustainability. With a strong commitment to local talent development, Schlumberger offers career opportunities that combine cutting‑edge technology with the rich natural resources of Angola. As part of its expansion in Benguela, Schlumberger is looking for visionary professionals to drive data‑centric transformation across its operations. This role contributes to the growing demand for skilled analytics experts in the Angolan job market, reinforcing the company’s reputation as an employer of choice for Angola Jobs.

Job Overview

The Advanced Analytics Lead will spearhead the design, development, and deployment of predictive models and data‑driven solutions that optimize oil and gas production processes. Reporting to the Head of Digital Transformation, the incumbent will collaborate with multidisciplinary teams to translate complex data sets into actionable insights, supporting strategic decision‑making for Schlumberger’s Angola portfolio. This position offers a unique platform to influence the future of energy in Angola, aligning with the broader goal of creating sustainable employment in Angola and expanding career opportunities for local professionals.

For more information about Schlumberger’s presence in Angola, visit Angola Job Search.

Key Responsibilities

• Lead the end‑to‑end analytics lifecycle, from data acquisition and cleaning to model validation and deployment.
• Develop advanced machine‑learning algorithms to predict equipment failure, optimize reservoir performance, and reduce operational costs.
• Collaborate with geoscientists, engineers, and IT specialists to integrate analytics solutions into existing workflows.
• Mentor junior data scientists and promote best practices in data governance and model management.
• Present findings and strategic recommendations to senior leadership and external stakeholders.
• Ensure compliance with local data protection regulations and Schlumberger’s internal security standards.

Required Skills

• Proficiency in Python, R, or Scala and experience with big‑data platforms such as Hadoop or Spark.
• Strong knowledge of statistical modeling, time‑series analysis, and deep learning techniques.
• Familiarity with oil and gas industry data sources, including seismic, production, and sensor data.
• Excellent communication skills to convey technical concepts to non‑technical audiences.
• Ability to work in a multicultural environment and adapt to the dynamic energy sector in Angola.

Education

A Bachelor’s degree in Engineering, Computer Science, Data Science, Statistics, or a related discipline is required. A Master’s degree or relevant certifications (e.g., AWS Certified Machine Learning, Google Cloud Professional Data Engineer) are highly desirable.

Experience

Applicants must have 5–7 years of professional experience in advanced analytics, data engineering, or a similar role within the oil & gas sector or related heavy‑industry environments. Demonstrated success in delivering large‑scale analytics projects is essential.

Salary

The compensation package ranges from 2,500,000 to 3,500,000 SSP per year, commensurate with experience and qualifications. The package includes performance‑based bonuses and benefits aligned with Schlumberger’s global standards.

Benefits

• Comprehensive health and dental coverage.
• Retirement savings plan with company matching.
• Paid parental and annual leave.
• Professional development allowance and tuition reimbursement.
• Relocation assistance for candidates moving to Benguela.
• Access to state‑of‑the‑art training facilities and global knowledge networks.

Training

• On‑boarding program covering Schlumberger’s safety, compliance, and data governance policies.
• Continuous learning opportunities through internal academies and external certifications.
• Mentorship from senior data scientists and industry experts.
• Workshops on emerging technologies such as AI, IoT, and edge computing in oil & gas.

Working Environment

The role is based in the modern Schlumberger office in Benguela, offering a collaborative open‑plan workspace, high‑speed connectivity, and access to advanced analytics labs. Employees benefit from a culture that values innovation, diversity, and sustainable practices, contributing to the broader vision of employment in Angola and the development of the national energy sector.

Application Process

Interested candidates should submit their updated CV and a cover letter outlining their relevant experience through the Schlumberger careers portal. Applications will be reviewed on a rolling basis, and shortlisted candidates will be invited for a virtual interview followed by an on‑site assessment in Benguela.

Equal Opportunity Statement

Schlumberger is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, ethnicity, disability, or background. We encourage qualified individuals from all segments of Angola to apply and become part of our growing team.