Python Consultant (with SQL Database experience)

Mind Detect
London
11 months ago
Applications closed

Related Jobs

View all jobs

Junior Python Data Scientist — UK (Master’s Required)

Junior Data Scientist

Data Science Consultant — Hybrid, Client‑Facing Analytics

Machine Learning Engineer - Financial Services

Machine Learning Engineer

Senior Data Science Consultant: Bayesian Pricing & Marketing Optimization

An exceptional opportunity to join a respected quadrant leader in the data and analytics space as Solutions Consultant – Enterprise (EMEA) in London . Our client is a next-gen, global data platform innovator that puts data to work for everyone so they can multiply their impact within their businesses. We’re looking for an individual who can speak both Spanish and English, and you will cover the EMEA region. Become an expert around our clients’ solutions and service offerings, including SaaS business solutions, implementation methodologies and other advanced service offerings Work with the Account Executive to build effective strategies to drive the POV 8 years of experience as a Pre-Sales Engineer/Technical Consultant or similar role selling complex software to enterprise customers ~ Some training in value-based selling (QBS, TAS, Demo to Win, etc.)~ Knowledge of all things data (database technologies, RDBMS, NoSQL, ETL, data architecture)~ Strong proficiency with SQL and Python ~ Demonstrated experience working with relational databases & cloud data warehouses such as Snowflake, Databricks or GCP ~ Experience with other BI or analytical tools ~ Demonstrated experience of data modeling, data warehousing, data integration, web services, etc. ~ Experience with enterprise customer architectures, cloud computing, data platforms and sources (e.g. SAP, Snowflake, Salesforce, Marketo, Google Analytics, JIRA, etc.)~ Knowledge of other coding languages (e.g. Python, R, JavaScript, HTML, CSS, etc.); ~ Strong experience delivering world-class software presentations, writing RFPs, PoCs and delivering engaging demos ~ Knowledge of related applications, SaaS models, relational databases, and web technologies ~ Excellent organisational capabilities – project coordination, time management, attention to detail ~ Excellent verbal and written English skills; any other European language considered a bonus A generous compensation/OTE package on offer An excellent benefits package Meritocratic working environment and strong career progression opportunities Continuous learning and development Great offices and flexible working -- We're a dedicated recruiter bringing together the brightest talent with organisations creating cutting-edge technology to change the world for the better. Mind Detect provides exceptional recruitment services to businesses who are leading the way in Data, Machine Learning and AI-driven technologies throughout Europe, the US and Asia.

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.

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.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.