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Data Scientist

  • Company: Get A Job.ai
  • Location: London
  • Salary: Pay not listed
  • Full Time
  • London

Website Get A Job.ai

Represented by Get A Job.ai

About This Opportunity

We are representing a confidential AI engineering firm that is transforming how industrial organizations approach complex physical modeling and simulation challenges. Our client works with leading aerospace, automotive, semiconductor, materials, and energy companies on their most critical engineering problems.

As their recruiting partner, Get A Job.ai is seeking a Data Scientist to join their delivery team in London. This role offers the unique opportunity to work at the intersection of advanced machine learning, physics modeling, and real-world industrial applications—building solutions that directly enable better engineering decisions.

Responsibilities

  • Pre-process and analyze complex engineering data to prepare it for predictive modeling and machine learning applications
  • Develop and deploy deep learning models combined with state-of-the-art optimization methods to predict and control physical system behavior
  • Design, build, and test scalable data pipelines that are reliable and production-ready
  • Collaborate closely with simulation engineers to ensure seamless integration of data science models with simulation workflows
  • Take full ownership of the quality, accuracy, and impact of your technical work
  • Contribute to internal R&D and product development, helping refine models and identify new application areas
  • Engage directly with customers through on-site collaboration, including travel averaging 3-4 weeks per quarter to locations across North America, Europe, Asia, and Oceania
  • Present technical work to both engineering teams and customer stakeholders
  • Support customer onboarding and co-development initiatives

What We're Looking For

  • Master's or PhD in a quantitative field (data science, physics, engineering, mathematics, or related)
  • At least 1 year of post-graduate industry experience in a commercial, non-research environment
  • Strong foundations in data-driven modeling and deep learning techniques
  • Hands-on experience with probabilistic methods and predictive modeling
  • Expert-level Python skills with proficiency in NumPy, SciPy, Pandas, TensorFlow, and PyTorch
  • Demonstrated ability to deploy scalable, production-ready models and data pipelines
  • Ability to grasp advanced engineering concepts across multiple industries quickly
  • Passion for creating practical solutions that solve real-world problems
  • Natural ownership mentality with a drive to continuously improve systems and solutions
  • Excellent communication skills for both technical and non-technical audiences
  • Willingness and ability to travel internationally approximately 25% of the time
  • Authorization to work in the UK

This role is based in London with a hybrid working model requiring 2-3 days per week in the central office.

How We Work With You

Get A Job.ai serves as the exclusive recruitment partner for this position. When you apply through our platform at getajob.ai, one of our experienced recruiters will review your background and conduct an initial screening conversation. If there's a strong match, we will submit your profile directly to our client and guide you through their interview process.

Please apply only through Get A Job.ai—do not attempt to contact the client directly, as this may disqualify your application.

Pay

Compensation details will be discussed during the screening process with our recruitment team.

Get A Job.ai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all candidates and employees.

Apply with Get A Job.ai

A recruiter will review your profile and submit you to the client. Do not contact the client directly.

More options

Apply with Get A Job.ai

Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.

Apply through Get A Job.ai. A recruiter will review your profile and submit you.

Terms used in this posting

hybrid
A work arrangement combining both in-office and remote/at-home work, typically on a set schedule.

Working in London, UK

Weather right now in London, UK: checking… · Local time: · Air quality: · Daylight: · UV index: · Wind: · Pollen:

London is the capital and largest city of England and the United Kingdom, with a population of 9.1 million people in 2024. Its wider metropolitan area is the largest in Western Europe, with a population of 15.4 million. London stands on the River Thames in southeast England, at the head of a 50-mile (80 km) tidal estuary down to the North Sea, and has been a major settlement for nearly 2,000 years. Its ancient core and financial centre, the City of London, was founded by the Romans as Londinium and has retained its medieval boundaries. The City of Westminster, to the west of the City of London

England is a country that is part of the United Kingdom. It is located on the island of Great Britain, of which it covers about 62%, and more than 100 smaller adjacent islands. England shares a land border with Scotland to the north and another land border with Wales to the west, and is surrounded by the North Sea to the east, the English Channel to the south, the Celtic Sea to the south-west, and

Nearby green space: 12 parks within 1.5km — closest is Whitehall Garden (364m). via OpenStreetMap

Nearest public transit: Charing Cross (station, 41m). via OpenStreetMap

  • Elevation 18m (59 ft)

Source: Wikipedia (state)

About this role & career path

Traits that fit this role

  • Innovation
  • Achievement Orientation
  • Intellectual Curiosity
  • Integrity
  • Attention to Detail

Source: O*NET Work Styles (Distinctiveness Rank).

Typical preparation needed: Job Zone 4: Considerable Preparation Needed. Most of these occupations require a four-year bachelor's degree, but some do not. — via O*NET

Industry news

Source: O*NET (public-domain bulk data)

Salary & compensation

Workers in Computer & Mathematical occupations earn a national median of $98,769 — via US Census ACS / Data USA

Market context

  • Similar listings in London 6

Job details above are provided by the employer/source. The sections on this page are compiled from public data sources with AI assistance.

Accommodations: if you need a workplace accommodation to apply for or perform this job, see ADA.gov or EEOC.gov for guidance on your rights and how to request one.

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Listing facts

  • Role Data Scientist
  • Employer Get A Job.ai
  • Location London
  • Type Full Time
  • Pay (from listing) Pay not listed
  • Posted September 24, 2026
  • Apply by October 25, 2026
  • Overview Full job description on this page (492 words)

Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.

Typical work in Data Scientist

Independent occupational context from O*NET (U.S. public-domain labor data). This is about the occupation, not a rewrite of this employer's posting.

  • Analyze, manipulate, or process large sets of data using statistical software.
  • Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use.
  • Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
  • Clean and manipulate raw data using statistical software.
  • Compare models using statistical performance metrics, such as loss functions or proportion of explained variance.
  • Create graphs, charts, or other visualizations to convey the results of data analysis using specialized software.

Source: O*NET

Limited public data for this employer

We only show facts we can ground in public sources (Wikidata, O*NET, news/discussion links, or this listing). We do not invent Glassdoor-style ratings, salaries, or testimonials when data is thin. Use the listing facts, occupation context, and related openings below while we continue researching.

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Occupation family: Data Scientist

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Data Scientist Get A Job.ai · London