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Data Scientist job at ENGIE Energy Access | Apply Now
Full Time
Are you looking for IT jobs in Uganda 2025 today? then you might be interested in Data Scientist job at ENGIE Energy Access
About the Organisation
ENGIE Energy Access is a leading provider of decentralized energy solutions, committed to expanding access to clean, affordable, and reliable electricity across Africa to drive sustainable development and economic empowerment. Recognized for its innovative pay-as-you-go solar home systems and mini-grid solutions, the company has earned a strong reputation in the renewable energy sector.
ENGIE fosters a dynamic and inclusive work culture, offering employees opportunities for growth, innovation, and impact-driven careers in the clean energy space. The company regularly recruits professionals passionate about sustainability, with diverse roles in engineering, sales, operations, and customer service, supporting flexible work arrangements where possible.
Since its establishment through the merger of ENGIE Mobisol, Fenix International, and ENGIE PowerCorner, the company has evolved into a key player in Africa’s off-grid energy sector. Leveraging cutting-edge technology and a customer-centric business model, ENGIE Energy Access has deployed millions of solar products, improving the livelihoods of millions across multiple countries. Operating in over nine African nations, the company continues to scale its reach, aiming to provide electricity to millions more. At its core, ENGIE upholds values of sustainability, innovation, and inclusivity, ensuring that energy solutions remain accessible and environmentally friendly.
Through its corporate social responsibility initiatives, ENGIE Energy Access actively supports local communities by promoting clean energy education, climate resilience, and socio-economic development. For more information, visit their official website at https://www.engie-energyaccess.com.
Job Title
Data Scientist job at ENGIE Energy Access
ENGIE Energy Access
Job Description
Job Title: Data Scientist
Organisation: ENGIE Energy Access
Duty Station: Kampala, Uganda
This position will be part of the Global Data team. This is an incredible opportunity to join a high-performing team that is passionate about pioneering expanded financial services to off-grid customers at the base of the pyramid. Key responsibilities will include building and maintaining data models to support sales and customer finance operations. You would also be involved in data mining activities as well as engage with internal business stakeholders in realtime to our field team mobile application to allow data-informed decisions to be made in the field, as well as working with members of the data team to ensure high code quality and database design. Your work will make a meaningful impact by enabling Engie to continuously innovate on how we support our customers in their repayment journey.
Duties, Roles and Responsibilities
Data Mining (20%):
Design and implement robust data mining models to support analytics and reporting requirements.
Carry out pre – processing, cleansing, and validating the integrioty of data to be used for analysis
Enhance data collection procedures to include all relevant information for developing analytic systems.
Statistical modelling (70%)
Use statistical and machine learning techniques to develop solutions to support business operations from sales to credit collection.
Stakeholder management (10%)
Communicate results with stakeholders within the business operations teams.
SERVICES
COMMERCIAL
SERVICES
INDUSTRIAL
SERVICES
RESIDENTIAL
Qualifications, Education and Competencies
Bachelors or master’s in computer science, machine learning, or related field
Experience:
5+ years of industry experience working on data scientist with a focus on data modelling, stakeholder management and data mining.,
Proficiency using machine learning frameworks like keras, pytorch, Tensorflow, sckit-learn, statistical tools (statistical tests, distribution, regression, maximum likelihood estimators, strong math skills (multivariate calculus, linear algebra), machine learning methods (k-Nearest Neighbours, Naive Bayes, SVm, Decision forests), Data visualization tools (matplotlib, d3.js, Tableau).
Experience working with structured and unstructured data using Python, R, Scala, Java, SQL in addition to one or more of Spark/Hadoop/Hive/HDFS , Apache Airflow, RabbitMQ/Kafka, Spark, Kubernates, and dbt.
Working knowledge of databases, data systems, and analytics solutions, including proficiency in SQL, NoSQL, Java, Spark and Amazon Redshift for reporting and dashboard building.
Experience with implementing unit and integration testing.
Ability to gather requirements and communicate with stakeholders across data, software, and platform teams.
Deep understanding of data structures, data modelling and architecture.
Experience managing a team of mid-level data scientists.
Sense of adventure and willingness to dive in, think big, and execute with a team
Language(s):
English
French is a plus.
Technology:
Python, R, Java, SQL, NoSQL, Amazon Redshift, Kafka, Apache Beam, Apache Airflow, Apache Spark
How to Apply
All suitably qualified and interested applicants should apply online at the APPLY Button below.
