Data Scientist

MECS Communications Ltd
Slough
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist - New

Data Scientist - Contract - 12 months

Data Scientist (Globally Renowned Retail Group)

Hours

: Monday - Friday 09.00 -17.30

Salary: £70, - £80, basic + 20% bonus & comprehensive benefits

Key Activity:

* Collect & analyse large datasets
* Use statistical methods to extract insights
* Build predictive models & algorithms
* Database manipulation
* SQL Queries
* Development of reporting tools & dashboards
* Business analysis & reporting
* Insight process management
* Communicate findings to stakeholders
* Inform business strategy

Overview:

The Data Scientists will play a crucial role in leveraging data to drive business success. You will analyse complex datasets to uncover valuable insights, using advanced analytics & machine learning to solve business problems & optimise processes.

Through developing predictive models & algorithms, you will forecast trends & outcomes, supporting leadership with data-driven recommendations for strategic decision-making.

The role extends to improving products & services, enhancing customer experiences, & driving innovation through cutting-edge solutions.

This role will bridge the gap between technical analysis & practical application, translating complex findings into actionable insights that non-technical stakeholders can understand & implement.

Responsibilities:

* Identify, build, validate, optimise & manage complex models & data pipelines

* Generate & deliver new opportunities to improve customer experience via Data Science

* Data science life cycle management of products including deployment into production, testing, CICD, documentation & security considerations

* Be the expert in an area & use it to support & grow the whole team - eg specific models, Azure environment, PySpark code optimisation

* Coaching & mentoring junior colleagues & peers in Data Science practices

* Integration & analysis of diverse data from multiple sources using statistical methods to identify trends, expose new opportunities & answer ongoing business questions

* Champion continuous improvement within the team by helping others to identify their development areas as well as achieving your own important learning plan

* Continuously look for innovative ways to improve products

* Good understanding & use of internal & external datasets & share this knowledge openly

* Promote the importance of data openly across the company

* Encourage collaboration & communication between teams across the delivery teams & promote a culture of giving, receiving & adapting

* Identify resolution paths & possible opportunities to solve unstructured problems & articulate specific research questions to form analytics project ideas & project plans to delivery

* Take responsibility for decisions that you make within your projects & able to clearly explain your reasoning.

Candidate Profile:

Candidates should possess similar experience in a Data Science capacity. Your skill set & experience is likely to include as many of the following as possible:

* SQL & Python coding skills using software development principles

* Deploying DS models in the cloud environment (Azure preferred)

* PySpark coding skills

* Azure cloud environment, Azure Databrick, Azure Data Factory, Azure DevOps

* Ability to reframe ambiguous business questions

* Define & execute hypothesis-driven analysis to address business issues

* Utilise complex statistical concepts in analysis

* Develop project plans to deliver a product that solves problems

* Database experience, combining internal & external data sources

* Statistical modelling methods - predictive modelling, trend analysis, unsupervised models

* Articulate ideas with non-technical language

* Demonstrate brilliant listening skills

: uniting opportunity with ambition in Telecoms | Media | Technology

is the brand name of MECS Communications Ltd who provide permanent & contract recruitment consultancy service as an Employment Agency & Employment Business.

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.