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

Apply Now

Senior Data Scientist

LHH
Reading
2 weeks ago
Create job alert
Overview

This range is provided by LHH. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Data Scientist II

Location: Reading

Contract Type: Permanent

What We’re Looking For

We’re on the lookout for a Data Scientist who is passionate about drawing actionable insights from data, and excited about supporting clients develop solutions to complex questions. If you’re a proactive problem-solver with a knack for storytelling through data, this is the role for you.

Key Responsibilities
  • Analyse complex data sets to uncover trends, insights, and opportunities for our clients.
  • Collaborate with cross-functional teams to develop and implement data-driven strategies.
  • Create impactful data visualisations and presentations that clearly communicate findings to stakeholders.
  • Conduct predictive modelling and advanced analytics to support marketing initiatives.
  • Stay updated on industry trends and best practises to continuously enhance our data capabilities.
What You Bring
  • Bachelor's or Master’s degree in Data Science, Statistics, Mathematics, or a related field.
  • Proven experience in data analysis, preferably in marketing, advertising, or public relations.
  • Proficiency in programming languages including Python and R, along with SQL.
  • Strong understanding of machine learning techniques and statistical modelling.
  • Excellent communication skills with the ability to convey complex information simply and effectively.
Why Join Us
  • Impactful Work: Contribute to exciting projects that shape the future of brand engagement.
  • Dynamic Environment: Be part of a vibrant team that values creativity, innovation, and collaboration.
  • Growth Opportunities: We believe in nurturing talent and offer continuous learning and development.
  • Work-Life Balance: Enjoy a flexible working environment that prioritises your well-being.
How to Apply

If you're excited about leveraging data to drive meaningful results and be part of a passionate team, we’d love to hear from you. Please submit your CV and a cover letter detailing your relevant experience and why you would be a great fit for this role.

LHH is an employment consultancy that believes in talent, not labels. It is important to us that we run inclusive recruitment processes to support candidates of all abilities and encourage applicants of all backgrounds and perspectives to apply. LHH is committed to building an inclusive, supportive environment to enable candidates to explore the next steps in their careers. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

EEO Statement: LHH is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Consumer Behaviour - exciting ‘scale up’ proposition

Senior Data Scientist PhD – Canary Wharf

Senior Data Scientist

Senior Data Scientist/Analyst

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.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.