Specialist, Measurement

Specialist, Measurement

Entry level 28000 - 35000 £ / year (est.) Home office (partial)
Pearson

At a Glance

  • Tasks: Analyse data trends and support educational standards in a collaborative team.
  • Company: Join a leading education company dedicated to excellence and innovation.
  • Benefits: Enjoy competitive pay, flexible benefits, and a supportive work environment.
  • Other info: Great career growth opportunities in a dynamic and diverse workplace.
  • Why this job: Make a real impact on learners' futures through data-driven decisions.
  • Qualifications: Degree in a numerate discipline; analytical skills and teamwork are key.

The predicted salary is between 28000 - 35000 £ per year.

Specialist, Measurement and Analyst

Have you just graduated or started your career journey and have a passion for data?

Do you have an interest in secondary education?

If the answer is yes, then we want to hear from you!

You will be comfortable with manipulating and analysing large amounts of data and identifying trends across a range of qualification types.

As specialist, measurement and analyst, you will be part of a team that is responsible for setting and maintaining standards across General Qualifications (UK and Internationally).

You will be working with a larger multi-disciplinary technical team working with experts from research, assessment design and statistical intelligence to ensure our products meet regulatory and organisational excellence throughout the qualification life cycle.

  • Accountabilities
  • Balance multiple sources and strength of evidence to inform judgements that will impact learners’ progression opportunities, including the use of statistical data is key.

These judgements must be transparent, consistent over time and in the interest of protecting the integrity of the qualification suites.

  • Apply statistical methods to analyse assessment performance data.
  • Evaluate the effectiveness of assessment solutions by identifying appropriate statistical methods/techniques and interrogation of data to ensure they are robust, fair, reliable and valid.
  • Lead on the creation and review of awarding policies, quality assurance, strategies, guidance and training.
  • To ensure adherence to and provide evidence of regulatory compliance.
  • To scope, carry out and report outcomes from research.
  • Deliverables
  • Critically review awards, providing an overview and rationale of awarding decisions.
  • Providing an overview of evidence that rationalises trends in and confidence in results.
  • Reports on outcomes of research – building the evidence bank to explain results.
  • Developing awarding procedures for suites of qualifications.
  • Developing and delivering awarding training for internal and external staff.
  • Support and provide technical guidance to development and product teams in relation to standards, grading models and awarding.
  • Pearson Profile Competencies
  • Excellent analytical skills with the ability to quickly synthesise trends and patterns and articulate to a wider non-technical audience.
  • Problem solver;
  • Excellent collaborator across teams;
  • Self-starter, curiosity to investigate, and uses initiative;
  • Excellent communication skills;
  • Makes decisions in the context of data, policy changes and education/assessment research;
  • Sets high standards of performance for self and others.
  • Qualification/s and Experience
  • Degree or Equivalent in a numerate discipline is essential. Masters in numerate discipline desirable.
  • Education or assessment experience is desirable, not essential.
  • Your rewards & benefits

We know you’ll do great work, so we give a lot back with some of the best benefits in the business.

We know one size doesn’t fit all, so our workplace programs meet the different needs of our diverse teams, and their families too.

Please see our attractive UK benefits here: Pearson Jobs – Benefits.

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Specialist, Measurement employer: Pearson

Pearson is an excellent employer that values flexibility and a supportive work culture, making it an ideal place for those seeking part-time opportunities in Birmingham. With a commitment to employee growth, Pearson offers training and development resources, ensuring that staff can enhance their skills while contributing to a meaningful mission of education and assessment. The friendly atmosphere and focus on compliance create a rewarding environment for Test Centre Administrators who enjoy helping candidates succeed.

Pearson

Contact Details:

Pearson Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Specialist, Measurement

Embrace Online Competitions

Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Pearson when you're aiming for that entry-level role.

Join Data Science Meetups

Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Pearson.

Networking Through University Career Services

Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Pearson.

Spotlight Your Skills Online

Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Pearson’s career page, where your unique skills can shine in their entry-level data science openings!

We think you need these skills to ace Specialist, Measurement

Data Manipulation
Data Analysis
Statistical Methods
Trend Identification
Quality Assurance
Regulatory Compliance
Research Skills

Some tips for your application 🫡

Show Off Your Data Skills:As you're aiming for an entry-level data science role at Pearson, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.

Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.

Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Pearson aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.

Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.

How to prepare for a job interview at Pearson

Brush Up on Your Statistics

For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.

Get Hands-On with Tools

Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!

Showcase Relevant Projects

As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.

Prepare for Case Studies

Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!