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Data Scientist Lead

Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Oversee end-to-end delivery of ML models, from data sourcing to monitoring

  • Coordinate a team of data scientists and ML/AI developers

  • Support the bank's Data Science and AI strategy with senior business leaders

  • Ensure models meet internal model risk guidelines and CBN requirements

  • Lead proof of concept and pilot projects for new AI capabilities

From the employer’s posting
Oversee end-to-end delivery of machine learning models: data sourcing, feature engineering, model development, evaluation, deployment, and monitoring.
Coordinate a team of data scientists and machine learning/AI developers in driving AI implementation across business and operations.
Support the development and execution of the bank’s Data Science & AI strategy in alignment with strategic business goals.
Ensure all models comply with internal model risk guidelines, CBN requirements, and global best practices.
Lead Proof of Concept (PoC) and pilot initiatives for new AI capabilities.

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree in computer science, Statistics, Mathematics, Engineering, or related field..
  • 6–10 years of experience in Data Science, Artificial Intelligence, or Machine Learning.
  • Master’s Degree and/or professional certifications (e.g., Azure ML, AWS ML, TensorFlow, Databricks, SAS, Agent orchestration, Microsoft Fabrics) can be an advantage.
  • Demonstrated experience with cloud platforms (particularly Microsoft Azure) and modern ML/AI tooling.

Preferred experience

  • Experience in banking or financial services is highly preferred.
Qualification wording
Bachelor’s degree in computer science, Statistics, Mathematics, Engineering, or related field..
6–10 years of experience in Data Science, Artificial Intelligence, or Machine Learning.
Master’s Degree and/or professional certifications (e.g., Azure ML, AWS ML, TensorFlow, Databricks, SAS, Agent orchestration, Microsoft Fabrics) can be an advantage.
Demonstrated experience with cloud platforms (particularly Microsoft Azure) and modern ML/AI tooling.
Experience in banking or financial services is highly preferred.
Education & alternatives
Qualifications - Bachelor’s degree in computer science, Statistics, Mathematics, Engineering, or related field.. - Master’s Degree and/or professional certifications (e.g., Azure ML, AWS ML, TensorFlow, Databricks, SAS, Agent orchestration, Microsoft Fabrics) can be an advantage.
- Bachelor’s degree in computer science, Statistics, Mathematics, Engineering, or related field.. - Master’s Degree and/or professional certifications (e.g., Azure ML, AWS ML, TensorFlow, Databricks, SAS, Agent orchestration, Microsoft Fabrics) can be an advantage. Experience
Apply at Standard Bank Group

Posting record

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Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 20264 days ago
Recorded sightings
5
Last seen by us
Nov 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 4

Early. Similar jobs usually come down between day 7 and day 57.

At Standard Bank Group, jobs usually come down by about day 8.

From 10,753 similar postings that came down, and 48 of Standard Bank Group’s. Coming down is not always a hire.

Standard Bank Group is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
  • 43% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • SAS
  • AWS
  • Azure
  • Databricks
  • TensorFlow
Where the posting names them
- Bachelor’s degree in computer science, Statistics, Mathematics, Engineering, or related field.. - Master’s Degree and/or professional certifications (e.g., Azure ML, AWS ML, TensorFlow, Databricks, SAS, Agent orchestration, Microsoft Fabrics) can be an advantage. Experience
- Proven track record of training and deploying ML and AI models to production at scale. - Demonstrated experience with cloud platforms (particularly Microsoft Azure) and modern ML/AI tooling. Additional Information

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Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 1,408, the most 2,965, and the latest week had 1,795.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Job Description

The Senior Data Scientist will drive the design, development, adoption, and deployment of advanced analytics and AI solutions across all business units in the bank. The role will be responsible for collaborating with a team of data scientists in developing AI/ML models at scale, ensuring model governance and regulatory compliance, and supporting business units to embed AI into products, processes, and decision-making. The ideal candidate is both a strong technical leader and a strategic business partner.

  • Support the development and execution of the bank’s Data Science & AI strategy in alignment with strategic business goals.
  • Coordinate a team of data scientists and machine learning/AI developers in driving AI implementation across business and operations.
  • Collaborate with senior business leaders to identify high-impact and emerging AI opportunities to gain a competitive edge.
  • Oversee end-to-end delivery of machine learning models: data sourcing, feature engineering, model development, evaluation, deployment, and monitoring.
  • Work closely with Data Engineering to ensure high-quality datasets for modeling.
  • Ensure all models comply with internal model risk guidelines, CBN requirements, and global best practices.
  • Stay updated with global AI trends, tools, and frameworks (GenAI, LLMs, RAG, agents, reinforcement learning).
  • Lead Proof of Concept (PoC) and pilot initiatives for new AI capabilities.

Qualifications

  • Bachelor’s degree in computer science, Statistics, Mathematics, Engineering, or related field..
  • Master’s Degree and/or professional certifications (e.g., Azure ML, AWS ML, TensorFlow, Databricks, SAS, Agent orchestration, Microsoft Fabrics) can be an advantage.

Experience

  • 6–10 years of experience in Data Science, Artificial Intelligence, or Machine Learning.
  • Minimum 3 years in a senior technical role.
  • Experience in banking or financial services is highly preferred.
  • Proven track record of training and deploying ML and AI models to production at scale.
  • Demonstrated experience with cloud platforms (particularly Microsoft Azure) and modern ML/AI tooling.

Additional Information

Behavioural Competencies

  • Adopting Practical Approaches
  • Articulating Information
  • Challenging Ideas
  • Developing Expertise
  • Documenting Facts
  • Embracing Change
  • Interpreting Data
  • Managing Tasks

Technical Competencies

  • Big Data Frameworks and Tools
  • Data Engineering
  • Data Integrity
  • IT Knowledge
  • Stakeholder Management (IT)

Company Description

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

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Location & working pattern

Lagos, LA, Nigeria

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