Senior Data Scientist

GlobalLogic UK&I
London
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Join to apply for the Senior Data Scientist role at GlobalLogic UK&I

1 day ago Be among the first 25 applicants

Join to apply for the Senior Data Scientist role at GlobalLogic UK&I

Get AI-powered advice on this job and more exclusive features.

  • Expert knowledge of statistics, machine learning, programming, data modelling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to better business decision making
  • A proven track record of leading data science projects and teams, as well as a strong background in AI research and applied machine learning.
  • Expertise in key data science technologies and techniques, such as Python, Git, AWS, AWS Sagemaker, PyTorch, TensorFlow, Jax, Numpy, Scikit-learn, Time-series forecasting, Classification, Regression, Large-language models, and Experiment Design.

Job Responsibilities

  • Uses a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms
  • Develops and test hypotheses, analyses and interprets the results of product experiments
  • Communicates data-driven insights and delivers action plans that steer business strategy and decision-making for business segments
  • Work’s with client teams to translate prototypes into new products, services, and features and provides guidelines for large-scale implementations
  • Provides input and guidance on data visualisation techniques and opportunities

Department/Project Description

We are seeking a team player who thrives in collaborative environments, shows integrity, and constantly seeks innovative solutions to drive meaningful change. As a collaborative individual, you excel in working with diverse teams, leveraging the unique strengths of each member to achieve shared goals. Integrity guides your actions and decisions. You prioritise honesty, ethics, and accountability in all aspects of your work, fostering trust and reliability among colleagues and stakeholders alike. Your innovative mindset drives you to continuously explore new possibilities and push boundaries to achieve excellence.

Company Benefits

  • Competitive pension scheme to help later on in life and private medical insurance & a Health Cash Plan to call upon when needed.
  • Annual Volunteering Days to work with a charity of your choice as we appreciate you may wish to give something back to the community.
  • Reward & Recognition -Reward Gateway access to acknowledge when you're doing a great job.
  • Holidays - Not just 25 days plus public holidays, you can also buy up to an extra five days to make sure you address that much needed work-life balance.
  • Family First - Enhanced family friendly policies and access to on-line shopping discounts platform as we appreciate the other roles you may have in life.
  • Health and Wellbeing - From free massages and annual health checks to subsidised gym membership and cycle to work schemes. Frequent Mental Health awareness days and access to a 24/7 EAP, as your welfare is important to us.
  • Personal Development - Your personal development is key to us and we make sure you get time to invest in your own personal learning and career progression supported by our generous training budget.
  • The Extras - Great coffee, fruit and snacks with beer and wine in the fridge and unforgettable social events, BBQ's and Christmas parties.

Interview Process

  • Recruiter Screening - Alex Dawson
  • Technical Interview - Lead Data Scientist
  • Hiring Manager Interview - Head of Data and Capability Lead
  • We aim to act within 48 hour feedback on each stage

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology and Engineering
  • IndustriesIT Services and IT Consulting

Referrals increase your chances of interviewing at GlobalLogic UK&I by 2x

Get notified about new Data Scientist jobs in London Area, United Kingdom.

London, England, United Kingdom 6 days ago

Marketing Data Scientist – Digital Business – London

London, England, United Kingdom 1 week ago

London, England, United Kingdom 5 days ago

Data Science Manager – Insights Consultancy

London, England, United Kingdom £100,000.00-£120,000.00 1 month ago

London, England, United Kingdom 1 week ago

Manager / Senior Manager of Data Science

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

Director of Data Science - Opportunity in Sydney, Australia

London, England, United Kingdom 6 days ago

Manager, Lead Research Scientist, Training Data (Foundational Research)

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

Research Scientist (Quantum Chemistry and Machine Learning), London

London, England, United Kingdom 1 week ago

Data Scientist - Borrow Analytics Manager

London, England, United Kingdom 5 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 week ago

Senior Data Analyst, Reporting & Operations

Southwark, England, United Kingdom 22 hours ago

Senior Consulting Analyst - Private Equity Data & TechnologyData Science Manager - Tax Technology and Transformation

London, England, United Kingdom 2 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#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.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.