
Senior Data Scientist
4 days ago
Senior Data Scientist (NLP / RAG / Applied AI)
Location
: Remote (trial period) then on-site in Abidjan, Côte d'Ivoire
Company
: Box Africa Group – Fast-growing IT services company (+100 employees) pivoting 100% to AI
Contract
: Full-time – Permanent
About Us
Box Africa is a rapidly growing IT services company operating across West Africa. We are launching a dedicated
AI division
to deliver high-impact, applied AI solutions in fintech, telecom, banking, health, agriculture, and the public sector.
Our ambition is to build the
leading AI practice in West Africa
, combining cutting-edge research, applied machine learning, and local talent development.
Main Responsibilities
As a
Senior Data Scientist
, you will play a key role in advancing Box Africa's AI practice. You will design, prototype, and deploy
state-of-the-art AI models
with a focus on
Natural Language Processing (NLP)
,
Retrieval-Augmented Generation (RAG)
, and
Applied AI use cases
relevant to Africa.
1. Research & Development
- Lead the research and prototyping of models in
NLP, LLM fine-tuning, multilingual and multimodal AI
. - Develop and optimize
RAG pipelines
for African languages and domain-specific contexts (banking, telco, fintech, health). - Drive applied research in
Intelligent Document Processing (IDP)
, automating information extraction and classification. - Explore AI for
risk scoring, credit scoring, and credit exposure loss prediction (IFRS9 ECL models)
. - Investigate and apply
agentic architectures
and
agents-as-a-service
to real-world enterprise problems. - Stay ahead of emerging trends (explainable AI, bias mitigation, reinforcement learning, multimodal AI).
2. Model Development & Production
- Design and build
end-to-end AI models
, from proof-of-concept (POC) to production deployment. - Collaborate with AI engineers to ensure robust
MLOps integration
(training, versioning, deployment, monitoring). - Apply
XAI techniques
to ensure explainability, fairness, and regulatory compliance. - Deliver
scalable, production-ready solutions
addressing financial services (fraud detection, risk scoring), telecom, and public services.
3. Collaboration & Mentorship
- Work closely with the Head of AI & Strategy and the AI Engineering Manager to shape Box Africa's AI practice.
- Mentor junior data scientists and foster a
culture of applied research and innovation
. - Collaborate with client teams to translate business challenges into
AI-driven solutions
.
4. Impact & Ecosystem Building
- Contribute to the design of
AI services tailored to West Africa
(IDP for banks, credit scoring models, multilingual assistants). - Publish findings, represent Box Africa at conferences, and grow our presence in the
African AI ecosystem
. - Position Box Africa as a
pioneer in applied AI & agentic systems
across UEMOA and West Africa.
Candidate Profile
Technical Skills
- Deep expertise in
NLP & LLMs
(transformers, HuggingFace, embeddings, multilingual models). - Hands-on experience with
RAG architectures
(vector databases: FAISS, Weaviate, Milvus; LangChain, Haystack). - Strong knowledge of
risk & credit scoring models, exposure loss forecasting, and IDP techniques
. - Proficiency in
machine learning & deep learning frameworks
(PyTorch, TensorFlow, Scikit-learn). - Experience with
XAI, bias detection, and compliance-driven AI
. - Familiarity with
MLOps practices
(MLflow, CI/CD, containerization).
Experience & Leadership
- 5+ years
of professional experience in Data Science or AI research. - Proven track record of delivering
NLP/AI solutions from research to production
. - Exposure to
financial services, telecom, or regulated industries
is a plus. - International or multicultural project exposure (Africa, Europe, or Asia).
- Experience mentoring junior data scientists is an advantage.
Soft Skills
- Analytical and research-driven, with a
pragmatic mindset for applied AI
. - Excellent communication skills with both technical and non-technical audiences.
- Fluency in English required; French language proficiency would be a strong plus.
- Passion for developing
AI with real impact in Africa
.
Why Join Box Africa?
- Join a
fast-growing company
employees, >50% annual growth). - Work on
real applied AI projects
: IDP, credit scoring, fraud detection, multilingual NLP, agentic AI. - Shape the future of AI in West Africa alongside international experts.
- Contribute to the
next generation of African AI talent
. - Career-defining opportunity: become a
pioneer in Applied AI in Africa
.
Benefits
- Relocation & settling-in support
(housing assistance, logistics). - Annual round-trip flight ticket
to home country. - Relocation allowance
(moving expenses covered). - Comprehensive health insurance
. - Training & certification budget
(AI, NLP, Cloud, leadership). - Annual performance bonus
tied to company growth. - International career growth opportunities
as Box Africa expands across UEMOA and West Africa.
Recruitment Process
- Initial call (30 min) – Introductory discussion.
- Technical interview (1h) – Case study (NLP / RAG / IDP / risk scoring).
- Leadership interview (45 min) – Research, mentorship, impact.
- Executive meeting (45 min) – Strategy & cultural fit.
- Final offer.
-
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