Data Science Manager Job Vacancy in Accra, Ghana – Banking & Finance

Manager
Accra
September 19, 2026
Full Time
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Job Description

Position: Data Science Manager

Company: Standard Chartered Bank Ghana

Location: Accra, Ghana

Experience: 5+ years in data science, machine learning, and financial analytics

Education: Master’s degree in Data Science, Computer Science, Statistics, or related field

Employment Type: Full-time

Industry: Banking & Finance

Department: Data & Analytics

Salary: SSP 120,000 – 180,000 per month

Vacancies:1

Company Overview

Standard Chartered Bank Ghana is a leading international bank with a strong presence across Africa. With a commitment to sustainable growth, the bank offers innovative financial solutions to individuals, SMEs, and large corporations. As part of its strategic expansion, Standard Chartered Ghana continuously invests in technology and talent to drive digital transformation. This role contributes to the bank’s vision of becoming the most data‑driven financial institution in the region, creating a vibrant environment for Ghana Jobs and career advancement.

Job Overview

The Data Science Manager will lead a high‑performing team of data scientists, analysts, and engineers to develop predictive models, advanced analytics, and AI‑driven solutions that enhance decision‑making across retail banking, credit risk, and wealth management. The role involves close collaboration with product owners, IT, and business stakeholders to translate complex data into actionable insights. This position is a prime example of a Job Vacancy in Ghana that offers significant impact on the bank’s competitive edge.

For more information about the hiring process, visit the main portal at https://ghanajobsearch.com/.

Key Responsibilities

  • Define and execute the data science roadmap aligned with business objectives.
  • Lead the design, development, and deployment of machine learning models for credit scoring, fraud detection, and customer segmentation.
  • Mentor and coach a multidisciplinary team, fostering a culture of continuous learning and innovation.
  • Collaborate with data engineering to ensure robust data pipelines and high‑quality data governance.
  • Present analytical findings to senior leadership, translating technical concepts into clear business recommendations.
  • Monitor model performance, conduct A/B testing, and implement model retraining strategies.
  • Stay abreast of emerging technologies and best practices in AI, ensuring the bank remains at the forefront of digital finance.

Required Skills

  • Proficiency in Python, R, SQL, and big data platforms such as Spark or Hadoop.
  • Hands‑on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit‑learn).
  • Strong statistical modeling, hypothesis testing, and experimental design capabilities.
  • Excellent communication skills for stakeholder engagement and report generation.
  • Leadership experience managing cross‑functional data teams.
  • Knowledge of banking regulations, risk management, and financial products.
  • Ability to translate business problems into analytical solutions.

Education

A Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline is required. Professional certifications such as AWS Certified Machine Learning, Google Cloud Professional Data Engineer, or CFA (optional) are considered advantageous.

Experience

Minimum of five years of progressive experience in data science roles within the financial services sector, with at least two years in a supervisory or managerial capacity. Demonstrated success in delivering production‑grade models that drive revenue growth or cost reduction is essential.

Salary

The competitive salary range for this role is SSP 120,000 to SSP 180,000 per month, commensurate with experience and qualifications. Performance‑based bonuses and profit‑sharing schemes are also part of the total compensation package.

Benefits

  • Comprehensive health insurance covering medical, dental, and vision.
  • Retirement savings plan with employer matching contributions.
  • Generous paid time off and annual leave.
  • Employee stock purchase program.
  • Flexible working arrangements and remote work options.
  • Professional development allowance for conferences, certifications, and courses.

Training

  • Onboarding program covering banking fundamentals, data governance, and security protocols.
  • Continuous learning pathways including internal workshops, external MOOCs, and mentorship circles.
  • Leadership development tracks for high‑potential managers.

Working Environment

Standard Chartered Bank Ghana offers a collaborative, inclusive, and technology‑forward workplace located in the heart of Accra’s financial district. The office features modern workstations, meeting rooms equipped with video‑conferencing tools, and dedicated spaces for focused analytics work. The culture emphasizes diversity, innovation, and a strong commitment to community impact, making it an attractive destination for Jobs in Ghana.

Application Process

Interested candidates should submit their updated CV and a cover letter outlining relevant experience through the online application portal. Shortlisted applicants will undergo a technical assessment followed by virtual interviews with the hiring panel. The recruitment timeline typically spans four to six weeks from application submission.

Equal Opportunity Statement

Standard Chartered Bank Ghana is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of gender, race, religion, age, disability, or sexual orientation. Our hiring practices reflect our dedication to fairness and the promotion of equal Employment in Ghana.

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