Test Manager

Leicester
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Quantitative Researcher / Sub-PM

Senior Data Engineer - £80,000 - Hybrid

Senior Analyst – Data Science

Sr. Director of Master Data Management and Business Intelligence

Data Engineer (Data Science)

Senior Data Analyst

Job Title: Test Manager
Location: Remote (occasional travel to Midlands)
Salary: £400 - £450 per day Inside IR35
Duration: 3 Months (possible extension)
Start Date: ASAP

We are seeking an experienced Test Manager with a strong background in NHS systems and Electronic Patient Records (EPR) to lead our testing efforts. You will develop and implement a comprehensive testing strategy to ensure the successful delivery of our EPR projects.

Key Responsibilities:

Design and manage a robust testing strategy aligned with EPR methodologies.
Develop detailed test plans and timelines.
Engage with stakeholders to understand and meet testing needs.
Monitor and manage testing defects and issues.
Coordinate User Acceptance Testing (UAT).
Conduct PAS data migration testing.
Maintain comprehensive documentation of test plans, scripts, outcomes, and issues.
Essential Skills and Qualifications:

Proven experience in managing testing activities within NHS and EPR projects.
Strong understanding of NHS acute centre data and workflows.
Advanced knowledge of SQL.
Experience with data pipeline development and data quality assurance.
Proficiency in UAT and PAS data migration testing.
Strong communication and interpersonal skills.
Degree in Computer Science, Information Technology, or a related field.
Relevant certifications in testing (e.g., ISTQB) are highly desirable.
Desirable Skills:

Familiarity with Agile or Prince2 project management methodologies.
Knowledge of EPR systems such as Cerner Millennium, Epic, or similar.
Strong analytical and problem-solving skills.

Concept welcomes applications from all

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Education Jobs

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.

Jobs

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.