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3,237

Data Scientist Junior jobs in United Kingdom

Data Scientist

Cognite

Greater London
On-site
GBP 60,000 - 80,000
2 days ago
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Senior Data Scientist - IFRS / Credit Risk Modelling

NewDay

Greater London
Hybrid
GBP 60,000 - 100,000
2 days ago
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Junior Data Scientist (9624)

Reply

Greater London
On-site
GBP 35,000 - 45,000
4 days ago
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Junior Data Scientist: Grow with AI Solutions

Reply

Greater London
On-site
GBP 35,000 - 45,000
4 days ago
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Junior Data Scientist

UBS

Greater London
On-site
GBP 60,000 - 80,000
4 days ago
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Junior Data Scientist: Build AI & NLP Solutions

UBS

Greater London
On-site
GBP 60,000 - 80,000
4 days ago
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Data Scientist (Junior or Senior)

Football Radar

Greater London
Hybrid
GBP 45,000 - 65,000
5 days ago
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Data Analyst (Growth) 100 Remote EUR

Bitfinex

Greater London
Remote
GBP 45,000 - 60,000
Today
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Assurance - Financial Services - Forensic Data Analyst - Senior - London

EY

Greater London
On-site
GBP 60,000 - 80,000
Today
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Data Scientist - Contract - 12 Months

Randstad Technologies Recruitment

Greater London
Hybrid
GBP 125,000 - 150,000
Today
Be an early applicant

Lead Marketing & Data Scientist

N Brown Group

Manchester
Hybrid
GBP 60,000 - 80,000
Today
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SC Cleared Data Analyst

Axiom Software Solutions Limited

Warwick
Hybrid
GBP 35,000 - 50,000
Today
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Corporate Data Analyst

Onclusive

Greater London
On-site
GBP 25,000 - 35,000
Today
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SEN Support Officer | Admin & Data Specialist

Barker Ross

Halifax
Hybrid
GBP 40,000 - 60,000
Today
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Hybrid Project Support & Data Analyst

Huntress

Lewes
Hybrid
GBP 25,000 - 27,000
Today
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Data Engineer - UK or Greece

VML

Greater London
Hybrid
GBP 50,000 - 70,000
Today
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Associate Director, Finance Transformation Expert with a focus on Data Modelling, Analytics & A[...]

Deloitte LLP

Isle of man
Hybrid
GBP 80,000 - 120,000
Today
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Data Analyst (Chinese Speaking)

Eeze

Greater London
On-site
GBP 40,000 - 55,000
Today
Be an early applicant

Renewables Land Referencer & GIS Data Specialist

Climate17

Leeds
Hybrid
GBP 30,000 - 45,000
Today
Be an early applicant

Senior Engineer - Machine Learning & Pricing

Almedia

Greater London
On-site
GBP 60,000 - 80,000
Today
Be an early applicant

Remote Data Engineer for Public Sector Analytics

Henderson Scott Careers

Greater London
Remote
GBP 40,000 - 60,000
Today
Be an early applicant

Data Engineer - Active SC & NPPV required

Henderson Scott Careers

Greater London
Remote
GBP 40,000 - 60,000
Today
Be an early applicant

Autonomous Ocean Data Scientist

Biological Carbon Cycles

Southampton
Hybrid
GBP 35,000 - 39,000
Today
Be an early applicant

Data Analyst: ServiceNow & AWS Insights

SR2

Greater London
On-site
GBP 80,000 - 100,000
Today
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Data Analyst – ServiceNow - AWS - Inside IR35

SR2

Greater London
On-site
GBP 80,000 - 100,000
Today
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Data Scientist
Cognite
Greater London
On-site
GBP 60,000 - 80,000
Full time
3 days ago
Be an early applicant

Job summary

A leading software company in the UK is seeking a Data Scientist to work on challenging data problems in industries like Oil & Gas and Manufacturing. This role involves developing scalable solutions and collaborating with cross-functional teams to deliver insights. Ideal candidates should have a degree in a quantitative field and 2+ years of experience as a data scientist, proficient in Python and SQL. The company promotes diversity and encourages all qualified individuals to apply.

Benefits

Diversity, Equity and Inclusion focus
Flat structure with direct access to decision-makers
Opportunity to work on ambitious projects

Qualifications

  • 2+ years of full-time work experience as a data scientist, preferably in related industry.
  • Experience with Python in a production setting is a plus.
  • Domain knowledge in Oil and Gas, Manufacturing is advantageous.

Responsibilities

  • Develop and deploy scalable solutions for customer use cases.
  • Participate in use case generation workshops with subject matter experts.
  • Perform data cleansing and exploratory data analysis.

Skills

Python
SQL
Machine learning
Data visualization
Customer interaction

Education

Bachelor/Master of Science in a quantitative field or engineering

Tools

Git
GCP
Azure
AWS
Job description
About Cognite

Cognite is gearing up for an exciting year of growth in 2026. As we expand our global footprint and scale our impact across industries, we’re building our team with talented, forward-thinking individuals who want to make a difference. Even if you don’t see a role that matches your experience today, we encourage you to apply and join our talent community. As immediate opportunities open up, our recruiting team will reach out to connect and explore how your skills align with our growing needs. Join us as we continue to innovate and transform how industrial data drives the world forward.

E In the realm of industrial digital transformation, we stand at the forefront, reshaping the future of Oil & Gas, Chemicals, Pharma and other Manufacturing and Energy sectors. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future.

Our values
Impact

Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves.

Ownership

Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success.

Relentless

Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth.

Cognite is a global leader in industrial software and AI with our Industrial DataOps platform, Cognite Data Fusion®, at the core. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms.

The Data Science team at Cognite plays a crucial role in building data-driven solutions that empower our clients to make impactful business decisions. As a Data Scientist at Cognite, you will work on challenging data‑problems with leaders in the industry. You will be a part of cross‑functional teams that include data engineers, solution architects, and project managers. Together, your focus will be on configuring, deploying, and operationalizing digital solutions in sectors such as Oil and Gas, Power & Utilities, and Manufacturing.

Additionally, you will engage with clients to understand their desired outcomes, lead discovery workshops, and provide insights on potential strategies and obstacles.

The Data Science team is a part of the EMEA delivery team in our Global Delivery organization. Global Delivery is truly global, with offices in Oslo (Norway), Phoenix & Houston (USA), Tokyo (Japan) and Bengaluru (India). We are a good mix of Project Managers, Data Scientists, Data Engineers, Solution Architects with domain expertise from Oil and Gas, Power & Utilities and Manufacturing.

We are responsible for delivering successful projects that are flexible and scalable, and foster adoption of our product. In sum, we derive valuable insights from previously hidden data, enabling workers and leaders to transform how heavy asset industries operate to become more efficient and sustainable.

As a Data Scientist you are responsible for the following, but not limited to
  • Develop and deploy scalable solutions for customer use cases from Oil and Gas, Manufacturing and Power & Utilities industries using Cognite’s core capabilities
  • Participate in intensive use case generation workshops with subject matter experts to understand the problem and how it maps to the data
  • Perform data cleansing and exploratory data analysis
  • Implement physical models / machine learning models in Python and deploy to our model hosting environment
  • Design and develop domain specific information and data models
  • Apply GenAI techniques to enhance data‑driven decision‑making in customer use cases
  • Build dashboards in Grafana, Power BI, Plotly or Dash for visualizing the solutions
  • Utilize and contribute to solution templates and best practices within the Data Science team
  • Mentoring and coaching junior team members is an important part of being a Senior at Cognite
  • Collaborate with data engineers, project managers and solution architects on project deliveries to enable our customers to achieve the full potential of our industrial dataops platform
  • Support customers and partners in conducting data science tasks with Cognite products
We believe most of these should match your experience
  • Bachelor/Master of Science in a quantitative field or mechanical, systems, electrical or industrial engineering
  • 2+ years of full‑time work experience as a data scientist (preferably within related industry), or data scientist with domain expertise in Oil and Gas or Maintenance or Manufacturing
  • Proficient experience with Python and SQL. Experience with Python in a production setting is a plus
  • Experience with machine learning methods and techniques, statistics and/or optimization
  • Experience with Git
  • Experience working customer faced, with external customers
  • Experience with managed cloud services such as GCP, Azure or AWS is a plus
  • Domain knowledge or a good understanding of the Oil and Gas industry Asset Performance Management - covering i.e production optimization is a big plus.
  • Enjoy working in cross‑functional teams
  • Able to deliver independently, coach and mentor others internally
  • Enjoy challenges and dare to set ambitious goals that drive innovation
  • Humility to ask for help and enjoy sharing knowledge with others

Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

A snapshot of our many perks and benefits as a Cogniter
  • Join an organization of 70 different nationalities 🌐 with Diversity, Equality and Inclusion (DEI) in focus 🤝
  • A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @cognitedata📷 to know more
  • Flat structure with direct access to decision‑makers, with minimal amount of bureaucracy
  • Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries
  • Join our HUB 🗣️ to be part of the conversation directly with Cogniters and our partners.
Why choose Cognite?🏆 🚀

Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainability for clients and allows front‑line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC's top global enterprise technology startups powering digital transformation! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader! 🥇 Most recently Cognite Data Fusion® Achieved Industry First DNV Compliance for Digital Twins 🥇

Apply today!

If you're excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. Please do not hesitate to contact our Talent Acquisition team with any questions -

We encourage you to follow us on Cognite LinkedIn; we post all our openings there.

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment; everyone we hire will receive the same level of consideration for training, compensation, and promotion.

We ask for gender as part of our application because we want to ensure equal assessment in the recruitment process. Your answer will help us reach this commitment! However, the question about gender is optional and your choice not to answer will not affect the assessment of your application in any way.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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