M-KOPAM-

Research Scientist – Generative & Applied Machine Learning

M-KOPA is a UK-headquartered fintech company that provides affordable smartphones, solar home systems, and digital financial services to underbanked customers in Africa using a pay-as-you-go model.

M-KOPA

Employee count: 1001-5000

United Kingdom only

We are looking for a Research Scientist – Generative & Applied Machine Learning to join our Data Science Team as we scale up and drive digital and financial inclusion across our markets.

Join M-KOPA's central Data Science team in a fully remote role that bridges cutting-edge machine learning research with tangible social impact. You'll develop sophisticated models that drive financial inclusion while solving complex business challenges for a company that has already improved the lives of over 23 million people worldwide.


Why This Role Is Career-Defining

Imagine applying your research expertise where algorithmic innovations translate directly into life-changing opportunities. With M-KOPA, you'll:

  • Conduct research that immediately influences products and services used by millions, creating measurable social and economic benefits

  • Tackle sophisticated machine learning challenges that push both theoretical boundaries and business performance

  • Enjoy the freedom to explore novel methods while collaborating internationally with colleagues from Europe and the UK to Kenya, Nigeria, South Africa, Uganda, and Ghana

  • Publish influential research papers, attend leading conferences, and collaborate with prestigious academic institutions

  • Join a carbon-negative organization that has already displaced over 2 million tonnes of emissions while driving digital and financial inclusion

This isn't just another research position—it's your opportunity to harmonize scientific excellence with profound humanitarian impact in an organization where your intellectual curiosity leads to meaningful change.


Must-Have Qualifications:

  • Advanced expertise in machine learning, mathematics, statistics, and theoretical computer science.

  • Experience or academic publication in generative modelling (e.g., VAEs, GANs, diffusion models, or related methods).

  • Strong publication record in prestigious conferences (NeurIPS, ICML, ICLR)

  • Proven ability to translate academic research into practical, impactful algorithms

  • Experience with deep learning, reinforcement learning, or other specialized machine learning domains

  • Exceptional analytical, critical thinking, and problem-solving abilities


Your Day-to-Day Impact

You'll prototype, test, and iterate advanced models, integrating state-of-the-art academic insights into practical solutions. Your research will directly influence strategic decisions, optimize product performance, and shape the future direction of M-KOPA's offerings.

Working remotely within the UTC-1 to UTC+3 time zone, you'll collaborate with talented colleagues in Product, Engineering, Operations, and Strategy. Your solutions won't just address immediate business problems—they'll establish M-KOPA as a thought leader in applying sophisticated machine learning to real-world challenges.

For the intellectually curious scientist driven by both scientific excellence and meaningful impact, this role offers the perfect balance of theoretical exploration and practical application. You'll work in an environment that values your academic rigor while providing the satisfaction of seeing your research transform lives.

Ready to conduct research that matters? Join M-KOPA and apply your machine learning expertise to change lives.

This is a fully remote role, you would be working within the following time zone (UTC -1 / UTC+3) with a diverse group of other employees working remotely from locations such as UK, Europe and Africa. You will be reporting to the Head of Data Science.

Why M-KOPA?

At M-KOPA, we empower our people to own their careers through diverse development programs, coaching partnerships, and on-the-job training. We support individual journeys with family-friendly policies, prioritize well-being, and embrace flexibility.

Join us in shaping the future of M-KOPA as we grow together. Explore more at m-kopa.com.

Recognized thrice by the Financial Times as one Africa's fastest growing companies (2022, 2023, 2024 and 2025) and by TIME100 Most influential companies in the world 2023 and 2024 , we've served over 5 million customers, unlocking $1.5 billion in cumulative credit for the unbanked across Africa.

Important Notice

M-KOPA is an equal opportunity and affirmative action employer committed to assembling a diverse, broadly trained staff. Women, minorities, and people with disabilities are strongly encouraged to apply.

M-KOPA explicitly prohibits the use of Forced or Child Labour and respects the rights of its employees to agree to terms and conditions of employment voluntarily, without coercion, and freely terminate their employment on appropriate notice. M-KOPA shall ensure that its Employees are of legal working age and shall comply with local laws for youth employment or student work, such as internships or apprenticeships.

M-KOPA does not collect/charge any money as a pre-employment or post-employment requirement. This means that we never ask for ‘recruitment fees’, ‘processing fees’, ‘interview fees’, or any other kind of money in exchange for offer letters or interviews at any time during the hiring process.

About the job

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Posted on

Job type

Full Time

Experience level

Mid-level

Location requirements

Hiring timezones

United Kingdom +/- 0 hours

About M-KOPA

Learn more about M-KOPA and their company culture.

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At M-KOPA, we are revolutionizing financial inclusion and connectivity across Africa through groundbreaking technology. Our innovative financing model combines the power of digital micropayments with IoT (Internet-of-Things) connectivity, making essential products and services accessible to millions of underbanked customers. Since our commercial launch in 2012, we have been at the forefront of providing affordable solar home systems, smartphones, and digital financial services. This approach empowers individuals who earn their income on a daily basis, allowing them to acquire life-enhancing assets through flexible, daily repayment plans that match their cash flow. We have built one of the largest proprietary tech and data stacks in Africa, processing over a million payments daily. This robust infrastructure, combined with one of the largest direct sales forces on the continent, enables us to reach customers who have been traditionally overlooked by formal financial institutions.

Our commitment to technological advancement is evident in our continuous efforts to scale up every technology team, from backend engineering to Android solutions. We leverage cutting-edge technologies like C#, .NET framework, Azure-hosted microservices managed with Kubernetes, and AI-driven analytics to build a credit record for each customer. This not only facilitates access to a wider range of products like digital loans and health insurance but also fosters long-term financial relationships. M-KOPA's impact extends beyond individual empowerment; we are contributing to broader economic development by creating jobs, fostering digital inclusion, and even establishing local smartphone assembly facilities. Through our pioneering pay-as-you-go model and relentless focus on innovation, M-KOPA is not just providing products; we are unlocking opportunities and paving the way for financial progress for millions across Africa.

Employee benefits

Learn about the employee benefits and perks provided at M-KOPA.

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New Employee Referral Scheme

New Employee Referral Scheme.

Bereavement Counselling

Best Doctors & Bereavement Counselling.

Maternity leave

Women employees can access training opportunities and other benefits such as healthcare, pension, and maternity leave.

Pension

Enrolled into NEST scheme after 3 months of employment - 5% employee (inc NI reduction) and 3% Employee (UK employees). They can opt out.

View M-KOPA's employee benefits
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M-KOPA

Company size

1001-5000 employees

Founded in

2010

Chief executive officer

Jesse Moore, Nick Hughes

Employees live in

View company profile

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M-KOPA hiring Research Scientist – Generative & Applied Machine Learning • Remote (Work from Home) | Himalayas