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Description du poste

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A range of specialisms exist in this essential and rewarding role. We need to store, manage, manipulate, visualise, and analyse mission critical data in our Cyber domain.

You may specialise in just one area or operate across multiple Data Science disciplines.

Typically, the candidate will be involved in one or more of the following:

  • Develop data flows, standardise, and pre-process vast quantities of data.
  • Develop, finetune and maintain Machine Learning models.
  • Produce data visualisations that provide insight into dataset structure and meaning.
  • Team with subject matter experts (SMEs) to identify important information in raw data.
  • Develop scripts that extract information from a variety of data sources and formats.
  • Translate customer requirements into software prototypes.
  • Adopting AI techniques to improve productivity and reduce analyst workload.
  • Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.
  • Develop statistical tests to make data-driven recommendations and decisions.
  • Develop experiments to collect data or models to simulate data when required data are unavailable.
  • Develop feature vectors for input into machine learning algorithms.
  • Identify the most appropriate algorithm for a given dataset and tune input and model.
  • Evaluate and validate the performance of analytics using standard techniques.

The position will typically be full-time, within the existing team delivering cutting edge solutions for both customer and Lockheed Martin enterprises.

We have a range of roles from Early Careers to senior leaders in their field.

More senior staff will have the opportunity lead on activities, to mentor others, utilise their technical expertise and typically have general knowledge of other related disciplines.

Required skills, qualifications and experience

  • Experience with data science, and modern machine learning techniques in the cyber domain and discovery operations.
  • Experience with standard analytic techniques and metrics.
  • Knowledge of Natural Language Processing and Image Processing techniques.
  • Familiarity with Predictive modelling, Statistical Analysis and Hypothesis testing.
  • Experience with algorithm design and development in cloud environments.
  • Fluency in at least one coding language (Python preferred) and surrounding libraries for data management, statistics, machine learning, and visualisation.
  • Experience of standard machine learning frameworks like TensorFlow and PyTorch.
  • Experience of working with large quantities of data using ., Hadoop and Spark.
  • Knowledge of cloud-based analytical platforms such as Databricks, Snowflake, Google BigQuery.
  • Experience with workflow and pipelining frameworks such as Kubeflow, MLFlow, or Argo.
  • Strong appreciation of ethical AI considerations.

Job Reference Number

15063BR

Employee Type

Full Time

37.5

Working Schedule

4xFlex

Country

Clearance Required for Role

DV

Graduate, Intern or Apprentice Vacancy?

No

What we offer you

At Lockheed Martin our employees come first and therefore your physical, mental and financial wellbeing matters to us. On top of working in a highly supportive, friendly, respectful environment you can expect so much more.
We are an employer in support of and offering Flexible working with the option to also work a 4 day week depending on business requirements, where you have the option of Fridays off. We offer Competitive salaries alongside a flexible holiday entitlement.
We have a Wealth of benefits available to you that can be selected through our wellbeing tool upon commencement of employment. Just a few of our amazing benefits are shown below:

  • Private Medical Insurance
  • Critical Illness
  • Life Assurance
  • Travel Insurance
  • Employee discounts for top high street shops
  • Employee Assistance Program which includes free face to face counselling sessions, Legal advice, Financial advice, etc
  • Internal training and development alongside out Education assistance programmes
  • Reimbursement for a professional membership
  • Competitive policies that support flexibility and family leave inclusive of enhanced maternity leave

Business Environment

Lockheed Martin Rotary and Mission Systems (RMS) provides systems engineering, software development, training solutions and complex program management for global security, civil and commercial markets. Simply stated, our mission is to be the world’s leading global security and aerospace company. To achieve this mission, RMS draws on its core capabilities in advanced platforms and weapons, C4ISR, global sustainment, training and sensors.

Equal Opportunity Statement

Lockheed Martin is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. Diversity and inclusion are fundamental to our culture and reflect our values of doing what's right, respecting others and performing with excellence. By engaging with all our employees' diverse talents and experiences every day, we can innovate different and better, creating cutting edge solutions and unparalleled customer value.

We know that diversity of thought leads to better solutions for our customers. Our top priority is finding the best candidate for the job and if you are interested in the position, we’d love to hear how you might contribute to our mission and our team and would encourage you to apply, even if you don’t believe you meet every one of the criteria set out in our job advert. In addition, we are committed to inclusion of all individuals and will make reasonable adjustments to our applications process. If you require assistance or adjustments to participate in the job application or interview process, please contact or call 023 92 458 000.

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* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.

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