Senior Data Scientist

4 days ago


Delhi, Delhi, India Box Africa Full time ₹ 8,00,000 - ₹ 20,00,000 per year

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

  1. Initial call (30 min) – Introductory discussion.
  2. Technical interview (1h) – Case study (NLP / RAG / IDP / risk scoring).
  3. Leadership interview (45 min) – Research, mentorship, impact.
  4. Executive meeting (45 min) – Strategy & cultural fit.
  5. Final offer.

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