Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Impact and Evaluation Officer

Ealing
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Senior Data Scientist (AI & ML)

Senior Data Scientist

Senior Data Scientist

Senior Data Engineer

FIN-B36 - Data Analyst Strategic Projects

Job Title: Impact and Evaluation Officer

Location: Ealing W5 2HL, mainly remote (4 times a month in officer)

Hourly rate £26.04 PAYE / £34.59 Umbrella per hour

Contract Length: 3-month contract (possibility of extension)

Working Pattern: Full Time, Monday - Friday, 35 hours

ASAP Start

🧭 About the Role

Are you passionate about using data and evaluation to drive meaningful change? Do you want to help shape the future of local government and community life in Ealing?

We're looking for an Impact & Evaluation Officer to join our Strategy & Change team. This is a unique opportunity to play a central role in transforming how we measure success, learn from our work, and make evidence-based decisions that improve lives across the borough.

You'll lead on designing and delivering evaluation frameworks, analysing data, and presenting insights that influence strategy and service delivery. Your work will directly support our vision of increasing social connection and empowering communities.

🔑 Key Responsibilities

Develop and implement impact and evaluation frameworks aligned with council objectives.
Analyse data and create compelling dashboards, visualisations, and reports.
Collaborate with cross-council teams and external partners to evaluate services and transformation initiatives.
Present findings to senior leaders and make evidence-based recommendations.
Promote a culture of learning and continuous improvement across the organisation.🧠 What We're Looking For

Strong analytical and statistical skills with experience in data visualisation tools (e.g., Power BI, Excel).
Proven ability to design evaluation frameworks, theories of change, and logic models.
Excellent communication and presentation skills for diverse audiences.
Experience managing multiple projects and adapting to changing priorities.
Knowledge of local government policy and practice is a plus.🎓 Qualifications & Experience

Ideally degree-educated or with equivalent professional experience.
Demonstrated success in using data analytics to improve service delivery.
Commitment to continuous professional development.
Experience working with Local Authorities / Public Sector organisations
Report writing skills for public consumption

Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer.

By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explains how we will use your information - please copy and paste the following link in to your browser

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.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly become one of the most influential disciplines of the digital age. Once a niche combination of statistics and computing, it is now central to how organisations innovate, compete, and grow. From healthcare and finance to retail, logistics, and government, data science is reshaping decision-making across every sector. In the UK, data science has grown into a core career pathway. Salaries are competitive, demand continues to rise, and roles now extend far beyond analytics into artificial intelligence, machine learning, and predictive modelling. Yet as technologies evolve, many of the most important data science careers of the future don’t exist today. This article explores why entirely new roles will emerge, the kinds of careers that may appear, how existing jobs will evolve, why the UK is well placed to lead, and what professionals can do to prepare for this transformation.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.