About micro1

micro1 is a data lab that helps AI labs and enterprises train foundational models and agents. The company provides frontier evaluations and reinforcement learning environments to improve LLM capabilities, as well as contextual evaluations to monitor and improve AI agents in enterprise settings.

Its AI recruiting agent sources and vets domain experts for a data platform that enables rapid production of high-quality training data. Research spans high-value, specialized domains such as legal, medical, finance and coding, where expert-level data is the hardest to produce and most valuable for advanced model performance. Its pipeline performance system ensures both quality and velocity.

About the Role

micro1 is partnering with a leading AI lab to hire data scientists and quantitative professionals from top companies. You will bring rigor to how AI models handle statistics, machine learning, experimentation and quantitative reasoning.

Scope of Work

• Evaluate AI model outputs on data science, statistics, machine learning and quantitative problems.
• Create expert-level prompts, datasets and reference solutions.
• Identify flawed methodology, statistical errors and weak quantitative reasoning.
• Provide structured feedback that improves model capability.

Preferred Qualifications

• At least one year of experience working at a top company in technology, finance or research, with at least part of this experience within the past three years.
• Based in an English-speaking country.
• Clear written communication of technical and statistical concepts.

How to Apply

Interested applicants can review the full job details and submit an application through the official application link below:

Apply for the Junior Data Scientist Position at micro1

Pay: $150–$200 per hour

Work Arrangement: Remote Contractor

⚠️Stay safe on ENB Enterprise

Never send money to companies. ENB Enterprise will never require payment from applicants.

Vacancy Announcement

Background

The Energy Regulation Board (ERB) is a statutory body created by the Energy Regulation Act No. 12 of 2019 to regulate Zambia's energy sector. The ERB seeks qualified and experienced Zambian nationals to fill two (2) positions of Data Analyst, one for the Northern Region and one for the Southern Region.

Job Purpose

To collect, validate, manage and analyse Uniform Petroleum Pricing data in order to support accurate determination of transport rates, claims and contributions, timely reporting, compliance monitoring and evidence-based decision-making.

Main Duties and Responsibilities

• Collect, collate, clean, validate and analyse data from Oil Marketing Companies, transporters, depots and other relevant stakeholders.
• Maintain accurate regional datasets on petroleum product movements, uplifts, deliveries, transport distances, claims and contributions.
• Support the development, updating and use of databases and the UPP model for determination of transport rates and reporting of transactions.
• Reconcile datasets and identify anomalies, inconsistencies, duplicate records or potential non-compliance for further investigation.
• Prepare timely analytical reports, dashboards, summaries and data visualisations for the Zonal Coordinator and UPP management.
• Analyse trends affecting UPP operations and fund sustainability, and provide evidence-based insights to support decision-making.
• Work with Field Officers and relevant departments to verify petroleum product uplifts, deliveries and transport distances.
• Maintain data quality, confidentiality, security and proper records in accordance with ERB procedures and applicable requirements.
• Liaise professionally with licensees and other stakeholders to resolve data gaps and facilitate accurate and timely submissions.

Minimum Qualifications and Skills

• Full Grade 12 Certificate with five (5) Credits or better.
• Bachelor's degree in Statistics, Data Science, Economics, Mathematics, Computer Science, Business Analytics or a related field.
• Minimum of two (2) years of relevant experience in data analysis, database management, quantitative research or a related role.
• Experience in the energy, petroleum or regulatory sector is an added advantage.
• Demonstrated proficiency in Microsoft Excel and data analysis or visualisation tools.
• Verification of all qualifications by ZAQA is required.

Required Attributes

• Strong quantitative, analytical and problem-solving skills.
• Proficiency in Microsoft Excel, database management and data visualisation.
• Knowledge of SQL, Power BI, Python, R or similar tools is an added advantage.
• Ability to clean, validate, reconcile and interpret large datasets with a high degree of accuracy.
• Good understanding of statistical methods, trend analysis and performance reporting.
• Knowledge of the Zambian petroleum downstream sector and the UPP mechanism is an added advantage.
• Excellent oral, written, presentation and report-writing skills.
• High level of integrity, confidentiality, attention to detail and accountability.
• Strong interpersonal and stakeholder engagement skills, with the ability to work independently and as part of a multidisciplinary team.
• Willingness to travel within the assigned region when required.

How to Apply

Applicants must complete the pre-application form for Data Analyst ×2 as indicated in the ERB vacancy announcement.

Applicants who meet all the minimum qualifications will be invited to submit the following:

• Application letter
• Current Curriculum Vitae with a minimum of two (2) professional referees
• ZAQA-certified photocopies of Grade 12 School Certificate
• ZAQA-certified photocopies of academic and relevant professional qualification certificates

Applications should be submitted in PDF format to:

jobs@erb.org.zm

No hard copies will be considered.

Application Deadline: Tuesday, 6 October 2026

ERB is an equal opportunity employer, and all suitably qualified candidates are encouraged to apply. Candidates involved in any lobbying shall be disqualified. Only shortlisted candidates will be contacted.

Stay safe on ENB Enterprise

Never send money to companies. Jobs on ENB Enterprise will never require payment from applicants.

DATA ASSOCIATES

Project: Training in Work (TiW) Project

Implementing Agency: Avencion

Funding Partner: Built International Investment (BII)

Location: Chongwe and Chibombo Districts, Zambia

Duration: 6 weeks, with possible extension

About Avencion

Avencion is a project management and technology firm delivering innovative solutions and technical support across multiple sectors and locations in Zambia. Through its work with development partners and implementing organisations, Avencion supports programmes that generate practical evidence, strengthen institutional capacity, and contribute to sustainable development.

About the Project

BII Zambia is strengthening its Training into Work (TiW) model by integrating an entrepreneurship pathway that enables young people to pursue self-employment and sustainable enterprise growth alongside formal employment.

As part of this initiative, Avencion is undertaking research to generate evidence on labour market demand, skills gaps, employer needs, training effectiveness, and employment outcomes. The findings will inform programme design, improve training delivery, and support evidence-based decision-making for skills development interventions.

Avencion is therefore seeking qualified and experienced Data Associates to support the research team throughout the project.

The Opportunity

The Data Associates will play a key role in ensuring the quality, integrity, and usability of data generated during the research process. The successful candidates will support data collection, cleaning, validation, coding, analysis, visualisation, and reporting.

The role will involve working closely with the Project Lead, Research Lead, Monitoring and Evaluation team, and field teams to ensure that project data is accurate, reliable, secure, and suitable for generating meaningful research findings.

Key Responsibilities

1. Data Collection Support

• Support the design and technical review of digital and paper-based data collection tools.
• Assist with pre-testing, piloting, and validation of research instruments.
• Monitor incoming data and identify quality issues for timely resolution.
• Work with the Research Lead and field supervisors to address data collection challenges.

2. Data Cleaning, Validation and Management

• Organise, consolidate, and maintain project datasets.
• Clean and validate quantitative and qualitative data in line with established protocols.
• Identify and address missing values, inconsistencies, duplicate records, and outliers.
• Maintain accurate and well-organised data files throughout the project.

3. Data Coding and Entry

• Develop appropriate coding frameworks for quantitative and qualitative data.
• Code open-ended survey responses and qualitative information systematically.
• Support accurate data entry, verification, and reconciliation.

4. Data Analysis

• Conduct quantitative data analysis using appropriate statistical techniques and software.
• Support thematic analysis of data from Key Informant Interviews (KIIs) and Focus Group Discussions (FGDs).
• Support the integration of quantitative and qualitative findings.
• Generate tables, charts, and other outputs to communicate research findings effectively.

5. Data Protection and Ethical Compliance

• Maintain strict confidentiality of project and participant information.
• Ensure secure storage, transfer, and archiving of project data.
• Comply with approved research protocols and applicable data protection requirements.
• Adhere to Avencion's safeguarding, data protection, anti-fraud, and confidentiality policies.
• Ensure compliance with all ethical requirements throughout the assignment.

Required Qualifications and Experience

Academic Qualifications

• Bachelor's Degree in Statistics, Data Science, Economics, Mathematics, Monitoring and Evaluation, Public Health, Social Sciences, Computer Science, or a closely related field.
• A postgraduate qualification will be an added advantage.

Professional Experience

• Minimum 3 years of demonstrated experience in data analysis within research or development programmes.
• Experience working with mixed-methods research designs.
• Experience handling and analysing large quantitative datasets.

Technical Skills

Candidates should demonstrate proficiency in one or more of the following:

• SPSS
• STATA
• R
• Python
• Advanced Microsoft Excel

Experience with Power BI, Tableau, or equivalent data visualisation platforms is highly desirable.

Knowledge of digital data collection platforms such as KoboToolbox, SurveyCTO, ODK, or similar platforms will be an added advantage.

Candidates should also be proficient in Microsoft Word and PowerPoint for report preparation and presentation.

Key Competencies

The ideal candidate should demonstrate:

• Strong analytical and problem-solving skills.
• High attention to detail and commitment to data quality.
• Ability to work with both quantitative and qualitative data.
• Strong organisational and time-management skills.
• Ability to work effectively as part of a multidisciplinary research team.
• Strong communication and reporting skills.
• High levels of integrity and confidentiality.
• Ability to work under tight deadlines and in field-based environments.

Application Requirements

Interested and suitably qualified candidates should submit a complete application package comprising:

• Updated CV
• Copies of academic qualifications

Ensure that your documents are cleanly named (i.e John Doe Avencion BII TiW Project CV or NRC or Qualifications)

Only shortlisted candidates will be contacted.