Data Pre Sales Consultant - Remote

City of London
11 months ago
Applications closed

Related Jobs

View all jobs

Postdoctoral Research Assistant in Health Data Sciences

Data Scientist: AI for Engineering Simulations (Hybrid, Equity)

Data Scientist - 12 Month FTC

Data Scientist - 12 Month FTC

Data Scientist AI

Principal Data Scientist

Pre-Sales Data Consultant - Fully Remote - £110k - £125k (25% bonus)

This role will play a critical role in driving the success of the sales team by providing technical data-focused expertise, solutions consulting, and strategic guidance during the sales process. This individual will work closely with Business Development Managers and potential clients to understand their specific business needs and demonstrate how my clients products or services can provide value. The role requires a balance of technical (data) knowledge, communication skills, and a strong ability to build relationships, with the ultimate goal of closing high-value sales.

Salary & Benefits

Competitive salary of £80k - £95k
Fully remote working
25% annual bonus
Commission pay
Life insurance
Company pensionRole & Responsibilities

Collaborate with the sales team to understand customer requirements, pain points, and objectives.
Provide in-depth technical consultation to clients to help identify the right solutions to meet their business needs.
Conduct product demos, presentations, and workshops tailored to specific customer requirements.
Offer guidance on best practices, technical features, and value propositions of the company's solutions.
Support the sales team in the preparation and submission of RFPs and RFIs (Request for Information).
Collaborate with internal stakeholders (e.g., product development, engineering, and marketing teams) to create tailored proposals and solution architectures.
Ensure that all pre-sales documentation, proposals, and demonstrations align with the client's needs and company goals.
Deliver highly engaging and persuasive product demonstrations to prospective customers.
Tailor presentations and demo content to address specific customer pain points and objectives.
Respond to detailed technical questions, articulating how our solutions can solve the client's business challenges.What do I need to apply for the role

A minimum of three years' experience in a pre-sales role
Understanding of effective business solution delivery using the Microsoft BI toolset
Essential: Data Bricks or Delta Lake
Azure data Platform
Azure Data Factory
Azure Synapse
Power BI
SSAS
SSIS
SSRS
Communication skills
Data development process
Technical understanding (data engineering and machine learning)
Evaluate data management architectural options
Highly technical and analytical

My client have very limited interview slots and they are looking to fill this vacancy within the next 2 weeks. I have limited slots for 1st stage interviews next week so if you're interest, get in touch ASAP with a copy of your most up to date CV and email me at or call me on (phone number removed).

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

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.