🇳🇬 Hiring: Data Scientist at Ipsos Group — Lagos

If you're looking for a data science opportunity in Nigeria where your analytical skills can contribute to real business decisions, this opening at Ipsos Group may be worth a closer look.

The role involves data quality, market analysis, sample design, reporting, programming and collaboration with clients and field teams. If you're building a career around data, analytics or market research, read through the responsibilities and requirements carefully before applying.

📍 Location: Lagos, Nigeria

🏢 Company: Ipsos Group

💼 Employment Type: Full-Time

📅 Application Deadline: 2nd October 2026

📌 Important Opportunity Disclaimer GabbyWall does not give jobs or guarantee employment. We share job opportunities to help job seekers discover roles, understand requirements and apply through the appropriate application channel.

1. Job Overview

Ipsos Group is hiring for a Data Scientist role in Lagos. The position focuses on working with data and research processes that support retail and consumer audits, market estimation, data quality and business insights.

The opportunity may be particularly relevant if you enjoy working with large datasets, identifying trends, improving data quality and turning information into insights that teams and clients can understand.

Before applying, make sure your CV clearly demonstrates your analytical experience, Excel capability and programming skills. Recruiters should be able to see the connection between your experience and the requirements of the role without having to search through your entire CV.

💡 Job-seeker tip: Don't submit the same CV blindly to every job. Spend a few minutes matching your strongest skills to the language used in the vacancy. A focused CV is easier for recruiters to scan.

Looking for other opportunities? You can also explore our latest Data Analyst opportunity and other technology roles published on GabbyWall.

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2. What You’ll Do

The successful candidate will work across data, quality assurance, research, reporting and stakeholder collaboration. The responsibilities include:

Manage data and sample quality for retail and consumer audits.
Support sample design and maintenance.
Estimate market universes for existing and new countries using internal and external data.
Review and sign off on data quality.
Track and report key performance indicators.
Analyze data trends and market dynamics.
Prepare presentations and insights for internal teams and clients.
Train client service teams on audit methodologies and capabilities.
Train field teams on audit procedures and store-type identification.
Work with clients, suppliers, production and field teams.

Notice that this isn't only about writing code. The role also involves communication, quality control, reporting, training and working with different teams. If you have strong technical skills but can also explain data clearly to non-technical colleagues, make sure your CV communicates that.

If you're interested in other technical opportunities, take a look at our Backend Engineer opportunity, Frontend Engineer role and Full-Stack Engineer opportunity.

💡 Motivation: A job description can look intimidating when you read all the requirements together. Break it down. Identify what you already know, what you can demonstrate and what you can quickly improve before applying.

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3. What You Need

Candidates should be prepared to demonstrate both technical ability and the interpersonal skills needed to work across teams.

Good interpersonal and people-management skills.
Ability to work under pressure, prioritize tasks, multitask and meet deadlines.
Proficiency in Microsoft Office.
Excellent Excel skills, including PivotTables.
Ability to learn and use other software packages.
Strong programming skills in SQL or SAS.

🧠 Technical skills to highlight

If you have experience with SQL, SAS, Excel, PivotTables, data analysis, data quality or reporting, make these skills easy to find on your CV.

Don't simply create a long skills list. Where possible, connect each skill to something you actually did. For example, describe how you used Excel to analyze a dataset, SQL to extract information or data-quality checks to identify inconsistencies.

🤝 Don't forget your soft skills

The vacancy specifically mentions interpersonal skills, multitasking and working under pressure. Your experience doesn't have to come from a previous Data Scientist title. Relevant examples can come from internships, projects, freelance work, academic research or previous employment.

💡 CV tip: If your CV says “Excellent communication skills,” support that statement with evidence. Showing what you accomplished is usually more useful than simply describing yourself with adjectives.

For another people-focused opportunity, you can explore our HR Specialist opportunity or Human Resource role.

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4. Tips Before You Apply

A good application isn't only about meeting the minimum requirements. Your goal is to make it easy for the hiring team to understand what you can bring to the role.

📄 1. Tailor your CV

Place your most relevant experience where recruiters can see it quickly. If SQL, SAS, Excel, data analysis or market research experience is relevant to you, don't bury it at the bottom of the document.

📊 2. Quantify your experience

Whenever possible, show the scale or result of your work. Instead of simply saying you “analyzed data,” explain what type of data you analyzed, what tools you used and what the analysis helped achieve.

💻 3. Review your technical skills

If you list SQL or SAS on your CV, make sure you are comfortable discussing how you've used the technology. The same applies to Excel and PivotTables.

✉️ 4. Check your email before sending

Use a professional email address, attach the correct documents and double-check the subject line. Small mistakes can make an otherwise strong application look rushed.

🔎 5. Keep looking

One application is one application. Don't stop your job search while waiting for a response. Continue building skills, improving your CV and applying for suitable opportunities.

You can also browse our Content Creator opportunity, Remote Copywriter opportunity, and Lead AI Designer role.

🌱 Motivation: Your current CV is not the final version of your career. Improve it one application at a time. Every project, skill and measurable achievement you add can make the next application stronger.

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6. How to Apply

Ready to apply? Prepare your Cover Letter and CV and send them directly to Ipsos Group using the email address below.

📧 Email: Ipsosnigeria@ipsos.com

📝 Email Subject: Data Scientist

⏰ Application Deadline: 2nd October 2026

Before sending, check that your CV is attached and that the email subject is exactly as requested in the vacancy.

📩 APPLY FOR DATA SCIENTIST

🚀 Final motivation: If this role matches your skills, don't overthink the application. Review your documents, make the relevant experience easy to find and submit before the deadline.

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7. Join the Jobs Community

If you're serious about your job search, staying informed can make it easier to spot relevant openings when they are published. Join the community and continue checking GabbyWall for new opportunities.

You can also share this vacancy with a friend, colleague or recent graduate who may be interested in a Data Scientist opportunity in Lagos.

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Tags: #Jobs #JobOpportunities #RemoteJobs #Internships #CareerOpportunities #WhatsAppCommunity #DataScientist #LagosJobs #NigeriaJobs #DataScienceJobs #IpsosJobs

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Ipsos Is Hiring in Lagos: Data Scientist Job | Apply Before October 2, 2026

🇳🇬 Hiring: Data Scientist at Ipsos Group — Lagos

📚 Table of Contents

1. Job Overview

2. What You’ll Do