Data Scientist

Langham Recruitment
West Midlands
1 month ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist Contractor

Data Scientist - Marketing Analytics & AI - West London

Data Scientist | Car/Allowance + Bonus | York, Manchester or Birmingham | Hybrid


We are looking for a Data Scientist to join a fast-paced FTSE 100 company, working with a range of large and complex data sets.


The role will involve designing and building effective data and forecasting models using Spark SQL and Python. This is a great opportunity to work on future projects integrating AI – if this is something you’re interested in please apply below!


Role/Responsibilities:

  • Contribute to the effective functioning of the enterprise data infrastructure
  • Design and develop data models and data flows
  • Use statistical methods to build predictive forecasting models
  • Assist with the data architecture framework, standards, and principles, including modelling, security, master and reference data across multiple solutions
  • Translate and refine business requirements into technical specifications including data streams, warehouses, semantic models, dashboards and reports
  • Produce and update technical documentation (e.g. data dictionary / catalogues)

Experience/Requirements:

  • Experienced with SQL / Spark SQL
  • Experience of data modelling and forecasting
  • Experience of Python (including pyspark / pandas)
  • Knowledge of relational database and data warehouse concepts (dimensions, facts, star schemas)
  • Knowledge of Azure DevOps and Databricks
  • Interest / experience of utilising AI for data analysis
  • Desirable experience: Power BI, R programming


Package:

  • Competitive salary
  • Bonus
  • Company car / car allowance
  • 25 days holiday (rising to 28 days after 5 years of service)
  • Private healthcare
  • Life assurance
  • Pension
  • Hybrid/flexible working from Birmingham, Manchester or York

This Data Scientist vacancy is being handled by Langham Recruitment Ltd. Langham Recruitment Ltd acts as an employment agency and is registered in England and Wales (reg 11525223).

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs Careers

10 Best AI Books for UK Job Seekers: Boost Your Artificial Intelligence Career in 2025

The field of Artificial Intelligence (AI) is advancing at a phenomenal pace, and the demand for skilled professionals in the UK job market—and globally—has never been higher. Whether you’re a newcomer looking to break into the industry or a seasoned professional wanting to future-proof your skill set, reading the right books can make all the difference. From foundational texts that build core understanding to more advanced works diving into cutting-edge technologies, these resources will equip you with the knowledge and insights needed to succeed in AI-related roles. In this comprehensive blog post, we’ll explore ten must-read books for job seekers eager to stand out in a competitive AI recruitment landscape. We’ll examine what each book brings to the table, how it can help you refine both your theoretical and practical skills, and why it’s relevant to your career development. By the end, you’ll have a reading list guaranteed to strengthen your CV and your capabilities, giving you a competitive edge as you carve out a successful AI career.

Careers

Navigating AI Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Jobs

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.