Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst 5278719

Triumph Consultants Ltd
Bournemouth
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Job Title

Data Analyst / Engagement & Evaluation Officer - Children’s Social Care Team


Role

On behalf of a local council, we are seeking a Data Analyst / Engagement & Evaluation Officer. This is an exciting new role supporting the implementation of the National Families First Partnership Transformation Programme and the development of an enhanced social evaluation system.


Key Responsibilities

  • Lead the development and implementation of performance and impact measurement tools aligned with the Families First Partnership Programme.
  • Produce high‑quality impact reports to inform strategic decision‑making and governance.
  • Design and implement evaluation frameworks to measure the impact of Early Help, Family Help, Multi‑Agency Child Protection Teams (MACPTs) and Family Group Decision Making as part of the FFP reforms.
  • Embed performance tools and feedback mechanisms into routine practice across children’s services and its partners in relation to FFP reforms.
  • Lead engagement activities with children, young people, families and staff to understand lived experiences and service efficiencies.
  • Develop and deliver qualitative and quantitative research methods, including surveys, focus groups and case studies.
  • Support co‑design and continuous improvement of services by integrating evaluation findings into service planning.
  • Monitor and report on key performance indicators and outcomes, ensuring compliance with national guidance.

Qualifications & Experience

  • Proficiency in data analysis and reporting using tools such as Excel, Power BI, AI or statistical software.
  • Experience producing reports for senior leadership and governance bodies.
  • Degree or equivalent qualification in social sciences, public policy, evaluation or related field.
  • Experience designing and delivering evaluation frameworks in public sector or children’s services settings.
  • Good understanding of children’s social care, safeguarding and multi‑agency working is desirable.
  • Knowledge of the Families First Partnership Programme and relevant statutory guidance (e.g., Working Together to Safeguard Children) is desirable.
  • Analytical and detail‑oriented with strong problem‑solving skills.
  • Ability to travel across local areas as required.
  • Willingness to work flexibly to meet project deadlines and engagement needs.

Application

Quote the Job Title and Reference Number in your application. Submit your CV in Word format. Applications are reviewed on a rolling basis—early submission is recommended.


#J-18808-Ljbffr

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.