At a Glance
- Tasks: Design and produce cutting-edge assessment and certification content for data and AI skills.
- Company: Join DataCamp, a leader in empowering individuals and companies with data skills.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with a chance to innovate in a fast-paced environment.
- Why this job: Make a real impact by shaping the future of data and AI certifications.
- Qualifications: STEM background with experience in assessment design and AI systems.
The predicted salary is between 59400 - 72600 £ per year.
About Data Camp
Data and AI skills are critical for thriving today, and Data Camp is the platform that empowers everyone to learn them.
We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors.
About the role
This is an individual contributor role.
You will own the design and production of Data Camp's assessment and certification content, working with subject-matter experts and building AI systems that generate, review, and continuously refresh high-quality, defensible questions at scale.
Responsibilities
- Own the end-to-end lifecycle for assessment and certification content—from blueprint and item design through review, publication, and ongoing maintenance—and manage deadlines across it.
- Design psychometrically sound assessments: write and review items, define scoring and passing standards, and safeguard validity, reliability, and fairness.
- Build and operate AI workflows—prompting, pipelines, and evaluation—that draft, grade, and quality-check items, so content production scales without sacrificing rigor.
- Source and collaborate with subject-matter experts to keep certifications current with the fast-moving data and AI landscape.
- Map certifications to the real skills hiring managers screen for, so a Data Camp credential is a credible signal to employers.
- Benchmark against the wider certification landscape—competing programs, industry standards, and emerging role definitions—and set the strategy for where our certifications go next.
- Continuously assess certification performance using pass rates, item statistics, and learner and employer feedback to drive improvements.
Qualifications
- A technical background in a STEM field—such as Computer Science, Data Science, AI, Statistics, or Engineering—paired with experience evaluating technical competency (e. g., designing coding assessments, technical interviews, certification exams, or graded coursework), so you can judge whether an assessment item is accurate and genuinely tests skill.
- Demonstrated expertise in assessment design—item writing, scoring, standard-setting, and the validity, reliability, and fairness principles behind credible certification—with proven experience building or running technical assessments or certification programs.
- A clear grasp of the skills hiring managers actually screen for in data and AI roles, and how to translate them into what a certification measures.
- Strong experience with agentic AI systems such as Claude Code, Cursor, or Replit, and building AI automation systems.
You can demonstrate you've increased your output 10x with AI.
- Graduate degree (Master's or Ph D) in a related STEM discipline, or equivalent industry experience with hands-on expertise in data science, machine learning, or software development.
- Bonus if you have the following: A deep understanding of the Data Camp courses, assessments, and certifications.
- Bonus if you have the following: An extensive track record of building sophisticated AI systems and workflows.
- Bonus if you have the following: An understanding or interest in the current certification landscape in data and AI: how leading programs are structured, where they fall short, and what makes a credential respected by employers.
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Head of Assessment and Certification Content employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Assessment and Certification Content
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We think you need these skills to ace Head of Assessment and Certification Content
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Doist, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Doist. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Doist
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
