What Jobs are available for AI Consultants in Kenya?

• 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).

• 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.

• Assist in collecting, cleaning, and transforming large datasets from various sources.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Support the development and implementation of statistical models and machine learning algorithms under guidance.
• Create visualizations and reports to communicate findings to technical and non-technical audiences remotely.
• Collaborate with team members on data-related tasks and projects.
• Learn and apply new data analysis tools and techniques.
• Assist in documenting methodologies, processes, and results.
• Participate in virtual team meetings and contribute to discussions.
• Identify opportunities for data-driven improvements within projects.
• Contribute to maintaining data quality and integrity.

• Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong foundation in statistical concepts and data analysis principles.
• Familiarity with programming languages commonly used in data science, such as Python or R.
• Basic understanding of machine learning concepts and algorithms is a plus.
• Excellent analytical and problem-solving skills.
• Strong attention to detail and commitment to data accuracy.
• Good written and verbal communication skills, suitable for remote interaction.
• Ability to work independently, manage time effectively, and learn quickly.
• Proactive attitude and eagerness to contribute to team objectives.
• Familiarity with data visualization tools is an advantage.

• Assist in collecting, cleaning, and transforming large datasets for analysis and model building.
• Perform exploratory data analysis to uncover trends, patterns, and insights.
• Support the development and implementation of machine learning models under guidance.
• Conduct feature engineering and selection to improve model performance.
• Help evaluate model accuracy and performance metrics.
• Document data analysis processes, methodologies, and findings.
• Collaborate with team members on various data science projects.
• Learn and apply new techniques and tools in data analysis and machine learning.
• Assist in the preparation of reports and visualizations to communicate insights.
• Contribute to a positive and productive remote team environment.

• Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• Foundational knowledge of statistical concepts and machine learning algorithms.
• Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
• Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
• Basic understanding of database concepts and SQL.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies.
• A portfolio of personal projects or contributions to open-source projects is a plus.

• Design and implement data collection protocols for athlete performance, training load, and physiological data.
• Utilize statistical modeling and machine learning techniques to analyze performance data and identify trends.
• Develop predictive models for injury risk, performance outcomes, and strategic planning.
• Create visually compelling dashboards and reports to communicate key findings to coaches, athletes, and stakeholders.
• Collaborate closely with coaching staff to integrate performance insights into training programs and game strategies.
• Stay abreast of the latest research and technological advancements in sports science, performance analysis, and data analytics.
• Manage and maintain performance databases, ensuring data integrity and security.
• Mentor junior performance analysts and contribute to the team's overall technical expertise.
• Evaluate the effectiveness of different training methodologies and interventions through data analysis.
• Contribute to the development of innovative performance monitoring tools and techniques.

• Master's degree or Ph.D. in Sports Science, Biomechanics, Data Science, Statistics, or a related quantitative field.
• Minimum of 7 years of experience in sports performance analysis, with a proven track record in elite sports environments.
• Expertise in statistical analysis software (e.g., R, Python with libraries like Pandas, NumPy, SciPy) and data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of biomechanics, exercise physiology, and sports-specific training principles.
• Experience with wearable technology and motion capture systems is highly desirable.
• Excellent analytical, critical thinking, and problem-solving skills.
• Exceptional communication and presentation skills, with the ability to translate complex data into actionable insights for non-technical audiences.
• Demonstrated ability to lead projects and collaborate effectively within a remote team setting.
• Experience working with diverse sports disciplines is an advantage.

• Collecting, processing, and analyzing diverse sports performance data (e.g., GPS, video analysis, physiological data).
• Developing and implementing statistical models to identify performance indicators and trends.
• Translating complex data into actionable insights for coaches and athletes.
• Creating clear and compelling visualizations and reports to communicate findings.
• Working with athletes and coaching staff to understand their data needs and provide tailored analysis.
• Staying current with the latest advancements in sports science, analytics, and technology.
• Leading and mentoring a team of sports performance analysts.
• Collaborating with sports scientists, physiotherapists, and strength and conditioning coaches.
• Ensuring data integrity, accuracy, and security.
• Contributing to the development of new analytical tools and methodologies.

• Master's degree in Sports Science, Data Science, Statistics, Kinesiology, or a related field.
• Minimum of 5 years of experience in sports performance analysis or data science within a sports context.
• Proven expertise in statistical modeling, data mining, and machine learning techniques.
• Proficiency in data analysis software and programming languages (e.g., R, Python, SQL).
• Experience with sports-specific data collection tools and analytics platforms.
• Strong understanding of sports physiology, biomechanics, and training principles.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
• Demonstrated leadership experience and ability to mentor junior team members.
• Ability to work independently and manage multiple projects effectively in a remote setting.

• Assist in collecting, cleaning, and pre-processing large datasets.
• Perform exploratory data analysis (EDA) to identify patterns and trends.
• Develop and train machine learning models under guidance.
• Evaluate model performance and provide insights for improvement.
• Assist in feature engineering and selection for predictive models.
• Collaborate with senior data scientists on various AI/ML projects.
• Document methodologies, findings, and results of analyses.
• Learn and apply new data science and machine learning techniques.
• Participate in team meetings and contribute to discussions.
• Support in the visualization of data and model outcomes.

• Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field (recent graduates welcome).
• Solid understanding of statistical concepts and their application.
• Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
• Familiarity with machine learning concepts and libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Eagerness to learn and adapt to new technologies.
• Ability to work independently and manage time effectively in a remote setting.
• Enthusiasm for AI and machine learning.
• A proactive and curious mindset.

• 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.

• 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.

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).