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

Apply Now

Senior Pre-Sales Data Scientist - 218921

Teradata Group
London
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist - Insights

Senior Researcher: Machine Learning for Healthcare – Microsoft Research

Senior Data Science Engineer, American Football

Senior Data Scientist

Senior Data Science Engineer

Senior Machine Learning Engineer, Platform

Our Company Teradata is the connected multi-cloud dataplatform for enterprise analytics company. Our enterprise analyticssolve business challenges from start to scale. Only Teradata givesyou the flexibility to handle the massive and mixed data workloadsof the future, today. The Teradata Vantage architecture is cloudnative, delivered as-a-service, and built on an open ecosystem.These design features make Vantage the ideal platform to optimizeprice performance in a multi-cloud environment. What You’ll Do TheSenior Data Scientist (pre-sales) is an experienced and expert DataScientist, able to provide industry thought-leadership on Analyticsand its application across industries and across use-cases. TheSenior Data Scientist supports the account team in framing businessproblems and in identifying analytic solutions that leverageTeradata technology and that are disruptive, innovative - and aboveall, practical. An articulate and compelling communicator, theSenior Data Scientist establishes our position as an importantpartner for advanced analytics with customers and prospects and isa trusted advisor to executives, senior managers and fellow datascientists alike across a range of target accounts. They are also ahands-on practitioner who is ready, willing and able to roll-up hersleeves and to deliver POC and short-term pre-sales engagements.The Senior Data Scientist has an excellent theoretical andpractical understanding of statistics and machine learning and hasa strong track record of applying this understanding at scale todrive business benefit. They are insanely curious and is a naturalproblem-solver and able to effectively promote Teradata technologyand solutions to our customers. Who You’ll Work With - Providepre-sales support at an executive level to the Teradata accountteams, helping them to position and sell complex Analytic solutionsthat drive sales of Teradata software. - Provide strategicpre-sales consulting to executives and senior managers in ourtarget market. - Support the delivery of PoC and PoV projects thatdemonstrate the viability and applicability of Analytic use-casesand the superiority of Teradata solutions and services. - Work withthe extended Account team, and Sales Analytics Specialists todevelop new Analytic propositions that are aligned with industrytrends and customer requirements. What Makes You a QualifiedCandidate - Have proven hands-on experience of complex analytics atscale for example in the areas of IoT and sensor data. - Understandthe PMML and ONNX model portability standards. - Have experiencewith Teradata partner’s analytical products, Cloud Serviceproviders such as AzureML and Sagemaker and partner products suchas Dataiku and H2O. - Have strong hands-on programming skills in atleast one major analytic programming language and/or tool inaddition to SQL. What You’ll Bring - An expertise in Data Sciencewith a strong theoretical grounding in statistics, advancedanalytics, and machine learning and at least 5 years real-worldexperience in the application of advanced analytics. - A passionabout knowledge sharing and demonstrate a commitment to continuousprofessional development. - A belief in Teradata's Analyticsolutions and services and be committed to working with theproduct, engineering, and consulting teams to ensure that theycontinue to lead the market. - An ability to turn complex technicalsubject matter into relatable, easy to digest and understandcontent for senior audiences. - A degree level qualification(preferably Masters or PhD) in Statistics, Data Science, thephysical or biological sciences or a related discipline.#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.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.