Junior Data Scientist

SDR Seeds Digital
London, UK
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Compensation
£52,000.0
Working hours
Regular working hours
Job source

Tech stack

C (Programming Language) Java (Programming Language) Artificial Intelligence Data Analysis Bash Shell Big Data Databases Data Infrastructure Data Mining Relational Databases Database Design R (Programming Language)
+14 more
Apache Hadoop Python (Programming Language) Unix Shell Machine Learning Natural Language Processing Cloud Services Tensorflow SAS (Software) SQL Databases Apache Spark Information Technology Vba Programming Language Data Management Data Pipelines

Job description

We are seeking a motivated Junior Data Scientist to join our innovative analytics team. This role offers an exciting opportunity to work on cutting-edge projects involving big data, machine learning, and artificial intelligence. The successful candidate will assist in developing data-driven solutions, supporting data analysis, and contributing to the optimisation of our data infrastructure. This position is paid and ideal for individuals eager to grow their expertise within a dynamic environment., * Assist in designing and implementing scalable data pipelines using tools such as Hadoop, Spark, and SQL.

  • Support the development of machine learning models employing frameworks like TensorFlow and R.
  • Analyse large datasets through data mining techniques to identify trends and insights.
  • Contribute to natural language processing projects and AI initiatives to enhance product capabilities.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Maintain and optimise databases, ensuring efficient database design and management.
  • Write scripts using Bash (Unix shell) or VBA for automation tasks.
  • Support the integration of AI models into production environments using Java or Python.
  • Document processes, methodologies, and findings clearly for internal stakeholders.

Requirements

  • A degree in Data Science, Computer Science, or a related field.
  • Proven experience with Python, R, SQL, and big data tools such as Hadoop or Spark.
  • Familiarity with machine learning frameworks including TensorFlow and SAS.
  • Knowledge of database design principles and experience working with relational databases.
  • Experience with natural language processing (NLP) techniques is desirable.
  • Proficiency in AWS cloud services for deploying scalable solutions.
  • Basic understanding of Java programming language.
  • Knowledge of C programming language is advantageous.
  • Experience with data mining, AI development, and statistical analysis methods.
  • Ability to work independently and collaboratively within a fast-paced environment.

This role provides an excellent platform for aspiring data scientists to develop their skills across diverse technologies while contributing meaningfully to innovative projects within our organisation.

Benefits & conditions

Pulled from the full job description

  • Annual leave
  • Sick pay
  • Life insurance
  • Unlimited paid holidays
  • Private dental insurance, * Life insurance
  • Private dental insurance
  • Sick pay
  • Unlimited paid holidays

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on uk.indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:34 min

Bringing diverse skills to industrial data science roles

Katja Träumner

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

1:31 min

Baseline developer skills for software data science

Markus Harrer Markus Harrer · WWC 2021

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

Videos

See all

Related articles

See all