Customer Service Representative (French + another EU language)

Venn Group
Watford
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist - Statistician - Capital One eFinancialCareers

Data Scientist

Data Scientist - Statistician - Capital One eFinancialCareers

Lead Site Reliability Engineer - DataOps

Lead Site Reliability Engineer - DataOps

Location:Watford, WD18 (Hybrid)

Duration:Permanent

Salary:From £28,000 to £30,000 per annum

Hours:Monday to Friday, 40 hours


The position is responsible for managing the order entry, cash process and delivery of products to a range of commercial customers across the EMEA region as well as dealing with calls and e-mails for technical emergencies and enquiries.


Responsibilities:

  • Answer customer enquiries (via phone or e-mails) in a timely manner to provide our customers with an efficient, reliable service
  • Manage customer orders (with an increasing emphasis on electronic orders) from order entry to billing, as well as sending and following up on quotations and pre-payment documents
  • Opening, updating and managing tickets/cases in our system for each customer enquiry in line with customer expectations and within their contract terms and liaising with other departments
  • Respond effectively to queries relating to customer orders and deliveries, resolving customer complaints and queries as well as raising credits and debits to ensure any outstanding customer deductions are resolved and all information communicated in a timely manner


Working hours are variable as this team work in shifts:

  • 1 week: early shift 7:00-16:00 (3 days in office/2 from home)
  • 1 week: late shift 9:00-18:00 (working from home)


Criteria

  • Fluent to a business proficiency, both written and spoken, in French
  • Fluent to a business proficiency, both written and spoken, in Dutch, Spanish, Polish, Italian, German or Hebrew
  • Experience in customer services


The company offers 33 days’ holiday including bank holidays, free eye tests, opportunities for internal progression and other additional benefits including hybrid working.


Venn Group is an equal opportunities employment business and employment agency and welcomes.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

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

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.