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

Apply Now

Data Analyst/Engineer - Arlanis UK

Reply
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst / Engineer (Python)

Hybrid Data Engineer: Snowflake Migration & Data Platform

Data Engineer

Data Analyst – SC Cleared - AWS

Data Analyst - Microsoft Technologies - Birmingham

Data Analyst - Microsoft Technologies - Birmingham

Responsibilities

: Gather qualitative data from the Client's sales team 'chatter' and integrate it into your data analysis to inform your sales targeting and forecast reports Continuously analyse the data within the Client's Salesforce database for quality,pliance and make rmendations to fill gaps and improve its usefulness and effectiveness Use Salesforce's Einstein Tableau CRM suite of tools to configure reports that give you the information you need to inform the performance of past sales, the salient learning points and sales levers for conversion and identify segments for future targeting and nurture campaigns Using qualitative and quantitative data analysis, build reports and dashboards to support the client sales team targets, identifying opportunities within the underlying CRM database that define marketing focus Liaise closely with the internal CRM and MA teams to support agreed customer and prospect nurture campaigns, using the findings of your analysis Share your findings with your colleagues in the Strategy and Insight team so that they have the opportunity to augment and support your findings with salient marketing context or product detail that will bring extra resonance to the client sales teamAbout the candidate:You have achieved a min Bachelor's/Master's degree inputing, IT or in a business-related field with exposure to technology Solid background as a Data Analyst/Engineer with Salesforce and Salesforce Einstein Tableau CRM suite experience to generate reports and forecasting Proficient in Python, CRMA and data manipulation languages with experience in data visualisation Great understanding of data protection legislation and the responsibilities of any role with access to process data which may contain personal information as well as knowledge of the technical and organizational measures that need to be in place to protect data held in databases Good writtenmunication skills used to translate the findings from your analysis into easily understood summaries and rmended actions Reply is an Equal Opportunities Employer andmitted to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law.

Reply ismitted to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.
Job ID 10176

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.