DATA SCIENTIST

Atos
London
10 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist - New

Data Scientist - Imaging - Remote - Outside IR35

Data Scientist - Workforce Modelling

Data Scientist/AI Engineer

Eviden, part of the Atos Group, with an annual revenue of circa € 5 billion is a global leader in data-driven, trusted and sustainable digital transformation. As a next generation digital business with worldwide leading positions in digital, cloud, data, advanced computing and security, it brings deep expertise for all industries in more than 47 countries. By uniting unique high-end technologies across the full digital continuum with 47,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.

All potential candidates should read through the following details of this job with care before making an application.

The Opportunity:

The Artificial Intelligence and Machine Learning team blend statistical techniques and ML to create value from data for our clients.You will collaborate with business stakeholders to identify use cases and shape opportunities for delivering data science solutions, ensuring a clear connection to business benefits.You'll extract, analyse and interpret large amounts of data from a range of sources, using algorithmic, data mining, artificial intelligence, machine learning and statistical tools, in order to make it accessible to our clients. You will then present your results using clear and engaging language in a way that bridges the fundamentally theoretical aspects of these initiatives to the business needs. This includes translating between technical and nontechnical audiences.You will work across industries and technology platforms (Azure, AWS, GCP) working with structured and unstructured data from an array of data sources.Essential Duties & Responsibilities:Lead and deliver innovative technical solutions that will meet the requirements of our clients. This will entail gathering requirements, analysing, developing, testing, evaluating and deploying the appropriate solution through the full development lifecycle.Maintain clear and coherent communication, both verbal and written, to understand data needs and report results to technical and non-technical audiences.Horizon scan to stay up to date with the latest technology, techniques and methods.Conduct research from which you'll develop prototypes and proof of concepts.Manage and mentor junior team members.Person SpecificationExtensive experience in comprehending business challenges and converting this understanding into practical data science solutions.Previous experience of delivering data science solutions using Microsoft Fabric and Azure DevOps or similar.Passionate about the transformative impact the right information can have on a business.Strong grasp of statistical methods, experimental design and the underlying principles of machine learning algorithms.Ability to transform, analyse and model data from a variety of data sources, extracting and interpreting trends and insights.Able to evaluate the models and experience of implementing them as stand-alone apps and as part of enterprise technology stacks. DataOps / MLOps experience would be valued.Strong Python programming for modelling and/or data analysis is essential, preferably with experience using the spaCy NLP framework and BERT.Knowledge of database design as well as strong experience with SQL queries is desirable. Familiarity with R and other common languages and tools would be beneficial.Proficiency in stakeholder management and an effective, persuasive communication style to explain technical subjects to non-technical audiences.Background in Mathematics or Physics and experience working within Agile projects as a team member and Scrum Master.We care about our employees' happiness by25 days of Annual leave + an option to purchase more through our Flexible Benefits.Flex benefits system - an exciting opportunity to choose your own benefits.Retail discounts.Pension - matching contribution up to 10%.Private Medical Scheme.Life Assurance.Enrolment in our Share scheme - subject to scheme eligibility criteria.Unlimited opportunities to learn in our Training platforms.As a Disability Confident employer, we aim to ensure that people with disabilities who meet the minimum criteria for this position will be offered an interview. We are committed to making reasonable adjustments and changes as needed to the application and assessment process to remove or reduce any disadvantage associated with a person's disability.

Let's grow together.#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.

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.