Customer Insights Manager (12 months)

Edinburgh
1 month ago
Applications closed

Related Jobs

View all jobs

Head of New Business and Retention

Business Intelligence & Performance Manager

Data Science Manager – Gen/AI & ML Projects - Bristol

National Account Manager

Research Manager - Quantitative

Senior Information Manager

Our client is looking for a 12 month contractor - Customer Insights Manager

The purpose of the role is centred around understanding what drives customer behaviour and in doing so help to improve these experiences and interactions. The successful candidate will deliver both strategic and tactical insights to the organisation to bring about improvements in customer service satisfaction and the overall efficiency of our services.

Client Details

A leader in their field

Description

Designs and executes quantitative and qualitative research for & with customers applying government standards & ethics
Undertakes secondary/desk research when identified as needed
Manages customer satisfaction KPI, capturing and delivering insights
Management of Customer Insight Hub
Collaboration across directorates to develop strategies to ensure customer is always considered
Work across directorates to understand customer journey touch points
Ensures compliance with data protection legislation
Clearly and confidently communicates research findings to colleagues, stakeholders and senior staff
Works with corporate functions, such as procurement, when required
Has excellent communication and presentation skills with proven internal and external stakeholder management abilitiesProfile

  • We are a welcoming and inclusive community that functions on supportive practices such as Agile Coaches, Business Analysts, UX specialists and more.
  • We offer a stimulating working environment and strongly believe that a diverse team is crucial to achieving our mission!
  • Our team is ambitious, acts with integrity and demonstrates commitment to progress and impact. We nurture talent and reward success.
  • We work in an agile way, which is applied across the whole organisation.
  • RoS offers a generous annual leave entitlement. Starting with 26 days of holiday plus 12 days bank holidays (for a total of 38 days). We reward your commitment to us by increasing annual leave by +1 day per year, for up to +4 additional days on your entitlement, bringing your allowance to 42 days.
  • We operate a 35-hour working week and offer flexible working arrangements (up to 30 hours flexi per month).
  • We offer office locations in Edinburgh & Glasgow and currently offer a hybrid working model, having established we can successfully work remotely.

    As part of the reward package, you will get access to:
  • Civil Service pension at circa 29% contribution on the employer side.
  • Service benefits, cycle to work scheme, discounted dental insurance, £100 eye care vouchers subsidised gym memberships, childcare vouchers, buying and selling annual leave, retail discounts and more!
  • Family friendly leave policies (Maternity at *1-year full pay, Paternity Leave/Shared parental Leave/Special Leave & more) *after 1 year of continuous service.
  • We offer continuous training and development opportunities, including being able to attend industry events.
  • A generous salary range with pay progression arrangements is in place.
  • You will have access to external counselling and external advice.
  • We are a Disability Confident employer.
  • We hold all three Investors in People awards: We Invest in People at Gold, We Invest in Wellbeing at Gold and Investors in Young People at Silver.
  • We monitor equal opportunities and offer support where needed.

    Job Offer

    A high competitive package

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 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.