2,031 AI Consultant jobs in Kenya
Junior Graduate Analyst - Data Science and Analytics
Posted 20 days ago
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Job Description
Our client is looking for enthusiastic and highly motivated Graduate Analysts to join their fully remote team and embark on a career in data science and analytics. This internship program is designed to provide recent graduates with hands-on experience in a fast-paced, data-driven environment. You will work alongside experienced professionals, contributing to real-world projects and developing essential analytical skills.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform basic data analysis and generate reports under the guidance of senior analysts.
- Develop and maintain data visualizations to help communicate insights effectively.
- Support the development of dashboards and reports using business intelligence tools.
- Conduct research on industry trends and competitive landscape to inform analytical projects.
- Collaborate with team members on ad-hoc data analysis requests.
- Learn and apply statistical methods and data modeling techniques.
- Participate in team meetings and contribute ideas for data-driven solutions.
- Assist in documenting data sources, methodologies, and findings.
- Gain exposure to programming languages commonly used in data analysis, such as Python or R.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Data Science, or a related discipline.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel for data manipulation and analysis.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Exposure to programming languages like Python or R is highly desirable.
- Excellent written and verbal communication skills.
- Ability to work independently and manage tasks effectively in a remote setting.
- Eagerness to learn and a strong work ethic.
- Enthusiasm for data and analytics.
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Graduate Data Analyst - Machine Learning Specialization
Posted 9 days ago
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Job Description
Our client, a forward-thinking technology firm, is excited to offer a unique Graduate Data Analyst internship with a specialization in Machine Learning. This is a fully remote opportunity, providing invaluable experience to ambitious graduates eager to launch their careers in data science and AI. You will work closely with senior data scientists and engineers, contributing to real-world projects that leverage machine learning to solve complex business challenges. This internship is designed to provide comprehensive exposure to the data analysis lifecycle, from data collection and cleaning to model development, evaluation, and deployment. You will gain hands-on experience with cutting-edge tools and methodologies, developing a strong foundation in data-driven decision-making.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Support the development and implementation of machine learning models under the guidance of senior team members.
- Conduct literature reviews on relevant machine learning techniques and algorithms.
- Assist in the evaluation and validation of model performance.
- Develop data visualizations and reports to communicate findings to the team.
- Collaborate with team members on data-related tasks and projects.
- Learn and apply statistical methods and machine learning algorithms.
- Participate in team meetings and contribute to discussions on project progress and strategy.
- Gain practical experience with programming languages like Python and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Strong foundation in statistical concepts and data analysis principles.
- Basic understanding of machine learning concepts and algorithms.
- Proficiency in at least one programming language, preferably Python.
- Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Excellent analytical and problem-solving skills.
- Strong attention to detail and accuracy.
- Good communication and interpersonal skills, with the ability to work effectively in a remote team environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- A genuine interest in data science, machine learning, and artificial intelligence.
This advertiser has chosen not to accept applicants from your region.
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Graduate Data Analyst - Machine Learning Focus
Posted 20 days ago
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Job Description
Are you a recent graduate with a passion for data and a keen interest in machine learning? Our client is looking for a talented Graduate Data Analyst to join our fully remote, innovative team. This internship offers an exceptional opportunity to gain hands-on experience in a fast-paced, cutting-edge environment, working alongside experienced data scientists and analysts. You will be involved in various stages of the data analysis lifecycle, from data collection and cleaning to model development and performance evaluation. Your primary focus will be supporting the implementation and testing of machine learning models, helping to extract valuable insights from complex datasets. This is a remote-first role, designed to provide flexibility and allow you to contribute effectively from anywhere with a reliable internet connection. We are seeking candidates who are eager to learn, possess strong analytical and quantitative skills, and have a foundational understanding of statistical concepts and programming. Experience with Python or R, and familiarity with data visualization tools, would be a significant advantage. You will have the opportunity to work on real-world projects, contributing to data-driven decision-making processes within our organization. This internship is an excellent stepping stone for a career in data science or analytics. You will be mentored by senior team members who will guide you through challenging projects and provide constructive feedback. The role is based out of Kakamega, Kakamega, KE , but it is a fully remote opportunity, welcoming applications from across the globe.
Key Responsibilities:
Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets for analysis.
- Support the development and implementation of machine learning models under the guidance of senior staff.
- Perform exploratory data analysis to identify patterns, trends, and anomalies.
- Create data visualizations and reports to communicate findings effectively.
- Conduct statistical analysis and hypothesis testing.
- Collaborate with the data science team on various research and development projects.
- Document methodologies, code, and results clearly and concisely.
- Assist in the evaluation and validation of model performance.
- Learn and apply new data analysis techniques and tools.
- Participate in team meetings and contribute to project discussions.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Strong foundation in statistical concepts and analytical techniques.
- Basic understanding of machine learning algorithms and principles.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
- Excellent problem-solving and critical-thinking abilities.
- Strong attention to detail and accuracy.
- Good communication and teamwork skills, essential for remote collaboration.
- Enthusiasm for learning and a proactive attitude.
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Graduate Analyst - Data Science
Posted 20 days ago
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Job Description
Our client is looking for ambitious and bright individuals to join their prestigious Graduate Analyst program focused on Data Science, operating entirely remotely. This internship provides an exceptional opportunity for recent graduates to immerse themselves in the world of data analytics, machine learning, and business intelligence. You will work alongside experienced data scientists, contributing to real-world projects, gaining hands-on experience with cutting-edge tools and techniques, and developing a strong foundation in data-driven decision-making. Responsibilities include data cleaning and preparation, exploratory data analysis, assisting in the development of predictive models, and visualizing data to communicate insights. This is a fully remote position, allowing you to learn and grow from anywhere. We are seeking candidates with a strong quantitative aptitude and a passion for uncovering insights from data.
Key Responsibilities:
Qualifications:
This internship is based in Embu, Embu, KE , but is a fully remote position.
Key Responsibilities:
- Assist in collecting, cleaning, and transforming large datasets from various sources.
- Perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies.
- Support the development and testing of machine learning models and algorithms under supervision.
- Create compelling data visualizations and dashboards to communicate findings to stakeholders.
- Contribute to the documentation of data processes, methodologies, and code.
- Collaborate with senior data scientists and analysts on ongoing projects.
- Learn and apply statistical concepts and data mining techniques.
- Participate in team meetings and contribute ideas for data-driven solutions.
- Assist in preparing reports and presentations summarizing analytical results.
- Develop proficiency in data analysis tools and programming languages relevant to data science.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Strong understanding of statistical concepts and analytical techniques.
- Basic knowledge of programming languages commonly used in data science (e.g., Python, R).
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and ability to work with large datasets.
- Good communication and interpersonal skills, with the ability to work effectively in a remote team.
- Eagerness to learn and a proactive attitude.
- Ability to manage tasks and time effectively.
- Passion for data and uncovering insights.
This internship is based in Embu, Embu, KE , but is a fully remote position.
This advertiser has chosen not to accept applicants from your region.
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Graduate Analyst - Data Science (Remote)
Posted 4 days ago
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Job Description
Our client is offering an exciting opportunity for ambitious and bright Graduates to join their cutting-edge Data Science team as Graduate Analysts, working remotely. This internship is designed for individuals passionate about leveraging data to drive insights and innovation, with a focus on projects relevant to **Nyeri, Nyeri, KE**, and national-level data challenges. You will work closely with experienced data scientists, gaining hands-on experience in data cleaning, analysis, visualization, and model development. The ideal candidate will possess a strong academic background in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline. Proficiency in programming languages like Python or R, and familiarity with data analysis libraries (e.g., Pandas, NumPy, Scikit-learn) are essential. You should have a solid understanding of statistical concepts and machine learning algorithms. Responsibilities include assisting with data collection and preparation, performing exploratory data analysis, contributing to the development of predictive models, and generating reports and presentations to communicate findings. We are looking for curious, detail-oriented individuals with excellent problem-solving abilities and a strong desire to learn. This fully remote internship provides invaluable real-world experience in data science, allowing you to develop practical skills and contribute to meaningful projects. Join a forward-thinking organization committed to data-driven decision-making and technological advancement. This is an excellent platform to launch your career in the dynamic field of data science.
This advertiser has chosen not to accept applicants from your region.
4
Agricultural Technology Consultant
Posted 19 days ago
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Job Description
Our client is looking for an innovative and knowledgeable Agricultural Technology Consultant to join their fully remote advisory team. This role is dedicated to helping agricultural businesses leverage cutting-edge technologies to improve efficiency, sustainability, and productivity. You will advise clients on implementing solutions such as precision agriculture, IoT devices, data analytics for farming, automation, and sustainable resource management. The ideal candidate will have a deep understanding of modern agricultural practices, combined with expertise in relevant technologies and a passion for sustainable farming. As this is a 100% remote role, strong analytical and communication skills are paramount, along with the ability to conduct client consultations, research, and analysis independently. You will be instrumental in assessing client needs, recommending appropriate technological solutions, and guiding them through the implementation process. Responsibilities include: analyzing current agricultural operations and identifying areas for technological improvement; researching and evaluating emerging agricultural technologies; developing customized technology adoption strategies for clients; advising on the selection and implementation of hardware and software solutions; providing guidance on data management and analysis for farm operations; promoting sustainable agricultural practices through technology integration; conducting remote client consultations and needs assessments; creating detailed reports and recommendations; staying abreast of industry trends, innovations, and regulatory changes; and contributing to the development of case studies and best practices. This role is officially based in **Nairobi, Nairobi, KE**, but is fully remote, offering flexibility. We seek a self-starter with a strong background in agriculture and technology, capable of delivering expert advice and driving positive change in the agricultural sector through remote engagement.
This advertiser has chosen not to accept applicants from your region.
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Remote Junior Graduate Analyst - Data Science
Posted 20 days ago
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Job Description
Kickstart your career with this exciting, fully remote Junior Graduate Analyst position focused on Data Science! Our client is a rapidly growing tech firm looking for bright, ambitious graduates eager to dive into the world of data. You will work alongside experienced data scientists, learning to extract insights, build predictive models, and contribute to data-driven decision-making across various business functions. This internship is designed to provide a comprehensive learning experience in a supportive, remote-first environment.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and preprocessing large datasets from various sources.
- Support the development and implementation of statistical models and machine learning algorithms.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Create visualizations and reports to communicate findings to both technical and non-technical audiences.
- Collaborate with team members on data analysis projects, contributing to problem-solving and insight generation.
- Learn and apply data analysis tools and programming languages such as Python or R.
- Document data processes, methodologies, and findings.
- Participate in team meetings and contribute ideas for data-driven solutions.
- Gain practical experience in data wrangling, feature engineering, and model evaluation.
- Assist in A/B testing design and analysis.
- Contribute to the maintenance and improvement of data pipelines.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Solid understanding of statistical concepts and basic machine learning principles.
- Familiarity with programming languages like Python or R for data analysis.
- Basic knowledge of SQL for database querying.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and data accuracy.
- Good communication and interpersonal skills, suitable for remote collaboration.
- Eagerness to learn and adapt to new technologies and methodologies.
- Ability to work independently and manage tasks effectively in a remote setting.
- Enthusiasm for data and its potential to drive business value.
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6
Community & Content Manager - AI SaaS
KES900000 - KES1200000 Y
Nexa Consulting
Posted today
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Job Description
About Tally
Tally is an AI-powered recruiting copilot developed by Nexa Consulting. Launching in January 2026, Tally
helps recruiters and startup founders save time by parsing CVs, matching candidates, and generating
interview insights. Our mission is to redefine recruiting efficiency and empower users worldwide.
Role
We are looking for a Community & Content Manager to shape and scale Tally's voice across digital
channels, engage with our growing community of recruiters and startup founders, and create content
that educates, inspires, and converts. You will work closely with our Growth Marketer to ensure content
and campaigns are fully aligned for maximum impact.
Responsibilities
• Plan, write, and publish high-quality content (LinkedIn posts, blog articles, newsletters, case studies).
• Create copy and visuals that make AI recruiting features simple and relatable.
• Support growth campaigns with landing page copy, ad creatives, and nurturing emails.
• Build and manage Tally's presence on LinkedIn and other relevant platforms.
• Respond to comments, DMs, and questions, fostering trust with early adopters.
• Organize webinars, demos, and community events to showcase product value.
• Collaborate with the Growth Marketer to align content with acquisition strategies.
• Track engagement metrics and optimize based on results.
Requirements (Must-Haves)
• 3+ years in content marketing, community management, or communications.
• Excellent copywriting skills in English (short and long form).
• Strong understanding of LinkedIn as a growth channel.
• Experience in building and engaging online communities.
• Startup mentality: proactive, creative, comfortable with fast iteration.
Nice-to-Haves
• Experience in HR Tech or SaaS.
• SEO/content optimization skills.
• Familiarity with tools like HubSpot, Hootsuite, Buffer.
• Basic design or video editing skills.
KPIs
• Growth in LinkedIn audience & engagement rate.
• Number of inbound leads generated via content.
• Community activity (webinar attendance, testimonials).
• Contribution to growth campaigns (content delivery & performance).
This advertiser has chosen not to accept applicants from your region.
7
Remote Graduate Data Analyst - AI & Machine Learning Focus
Posted 4 days ago
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Job Description
Our client is seeking ambitious and intellectually curious Graduate Data Analysts to join their cutting-edge, fully remote program focused on Artificial Intelligence and Machine Learning. This is an exceptional opportunity for recent graduates to gain hands-on experience with real-world data challenges, working alongside experienced data scientists and engineers. You will be instrumental in collecting, cleaning, analyzing, and interpreting large datasets to uncover insights, build predictive models, and contribute to the development of innovative AI solutions.
Responsibilities:
Qualifications:
This paid internship offers invaluable experience in a rapidly growing field, providing mentorship and real project involvement. The role is fully remote, supporting our strategic interests in the Meru, Meru, KE region.
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of diverse datasets from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop and implement basic machine learning models under the guidance of senior team members.
- Visualize data and model results using tools such as Python libraries (Matplotlib, Seaborn) or Tableau.
- Collaborate with data scientists and engineers on feature engineering and model selection.
- Document methodologies, findings, and code for reproducibility and knowledge sharing.
- Participate in regular team meetings and contribute to project discussions.
- Learn and apply new data analysis techniques and tools relevant to AI/ML.
- Assist in the testing and validation of AI/ML models.
- Contribute to the overall data strategy and innovation efforts.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
- Foundational understanding of statistical concepts and data analysis techniques.
- Basic programming skills in Python or R, including experience with relevant data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Familiarity with machine learning concepts and algorithms is highly desirable.
- Exposure to data visualization tools.
- Strong analytical and problem-solving abilities.
- Excellent communication and teamwork skills, essential for remote collaboration.
- Proactive attitude and eagerness to learn and take on new challenges.
- Self-motivated and able to manage tasks effectively in a remote environment.
- A genuine interest in AI and Machine Learning.
This paid internship offers invaluable experience in a rapidly growing field, providing mentorship and real project involvement. The role is fully remote, supporting our strategic interests in the Meru, Meru, KE region.
This advertiser has chosen not to accept applicants from your region.
8
Senior Product Manager (AI/ML)
Posted 13 days ago
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Job Description
Our client is seeking an innovative and experienced Senior Product Manager to lead the development and strategy for their cutting-edge AI/ML product suite. This is a fully remote position, allowing you to shape the future of AI products from anywhere. You will be responsible for defining the product vision, roadmap, and feature definition for AI-powered solutions, working closely with engineering, data science, design, and marketing teams. Your role will involve deeply understanding customer needs, market trends, and technological advancements in AI/ML to identify new product opportunities and enhance existing offerings. You will translate complex technical concepts into compelling product strategies and communicate effectively with stakeholders at all levels. The ideal candidate possesses a strong technical background, a passion for artificial intelligence, and a proven ability to launch successful products in a fast-paced, agile environment. Excellent analytical, strategic thinking, and leadership skills are crucial.
Key Responsibilities:
Key Responsibilities:
- Define and drive the product vision, strategy, and roadmap for AI/ML products.
- Conduct market research, competitive analysis, and customer interviews to identify user needs and opportunities.
- Translate product strategy into detailed product requirements, user stories, and specifications.
- Prioritize product backlog and manage development sprints in collaboration with engineering teams.
- Work closely with data scientists and machine learning engineers to guide the development of AI models and features.
- Define key product metrics, monitor performance, and iterate on products based on data and user feedback.
- Collaborate with marketing and sales teams to develop go-to-market strategies and product launch plans.
- Engage with customers and internal stakeholders to gather feedback and ensure product-market fit.
- Stay abreast of the latest advancements in AI, machine learning, and relevant technologies.
- Mentor junior product managers and contribute to the product management best practices within the organization.
- Develop and maintain strong relationships with engineering, design, research, and business teams.
- Manage product lifecycle from ideation to launch and ongoing iteration.
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field; Master's degree or MBA preferred.
- Minimum of 7 years of experience in product management, with a significant focus on AI/ML products or related technologies.
- Proven experience in defining product strategy, roadmaps, and successfully launching complex software products.
- Strong technical understanding of machine learning concepts, algorithms, and frameworks.
- Experience working in agile development environments.
- Excellent analytical, problem-solving, and strategic thinking skills.
- Superb communication, presentation, and interpersonal skills.
- Ability to lead cross-functional teams and influence without direct authority.
- Experience with user research, usability testing, and data analysis.
- Passion for AI and a deep understanding of its potential applications.
- Demonstrated ability to work effectively in a fully remote setting.
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