147 Data Interpretation jobs in the United Kingdom

Geophysicist - Seismic Data Interpretation (Remote)

AB10 1AA Aberdeen, Scotland £75000 Annually WhatJobs

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full-time
Our client is a leading energy exploration company seeking a highly skilled Geophysicist specializing in seismic data interpretation to join their globally distributed, fully remote team. This role is crucial for identifying and evaluating potential hydrocarbon reserves. You will be responsible for processing, analyzing, and interpreting large volumes of seismic data, utilizing advanced software and geological knowledge to delineate subsurface structures and identify prospective zones. The ideal candidate will have a deep understanding of seismic principles, extensive experience with various seismic interpretation software packages, and a proven ability to work independently and collaboratively in a remote setting.

Key Responsibilities:
  • Process, interpret, and integrate 2D/3D seismic data to identify subsurface geological features and potential hydrocarbon traps.
  • Utilize advanced interpretation software (e.g., Petrel, Kingdom Suite, GeoGraphix) to create geological models.
  • Collaborate with geologists, reservoir engineers, and other geoscientists to integrate seismic interpretations with other subsurface data.
  • Perform attribute analysis, velocity modeling, and inversion techniques to enhance data resolution and interpretation accuracy.
  • Evaluate seismic data quality and identify areas requiring reprocessing or acquisition.
  • Prepare detailed technical reports and presentations documenting interpretations and recommendations.
  • Contribute to exploration strategy development and prospect risking.
  • Mentor junior geophysicists and share expertise within the team.
  • Stay current with advancements in seismic acquisition, processing, and interpretation technologies.

Qualifications:
  • Master's or Ph.D. in Geophysics, Geology, or a related Earth Science discipline.
  • Minimum of 7 years of experience in seismic data interpretation, with a strong focus on exploration.
  • Proficiency in industry-standard seismic interpretation and workstation software.
  • Solid understanding of seismic principles, data acquisition, and processing workflows.
  • Experience with various geological settings and basin types.
  • Strong analytical, problem-solving, and spatial reasoning skills.
  • Excellent written and verbal communication skills, adapted for remote collaboration.
  • Demonstrated ability to work independently and manage time effectively in a remote environment.
  • Experience with workstation-based geological modeling is a plus.

This fully remote role offers a unique opportunity for a talented geophysicist to contribute to major energy projects without geographical constraints, leveraging cutting-edge technology and collaborative tools.
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Data Science Intern

WillHire

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About WillHire


WillHire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. We’re now expanding into the Data Science vertical and are looking for curious, driven, and analytical minds to join us as part of our Data Science Internship Cohort .


Role Overview


As an Data Science Intern at WillHire, you will collaborate with our engineering and strategy teams to design data-driven solutions that power smarter hiring, workforce planning, and operational decision-making. This is a hands-on role where you’ll work on real business datasets to build production-ready analytics models and dashboards.


Key Responsibilities


  • Collect, clean, analyze, and transform structured & semi-structured HR and recruitment datasets
  • Build predictive models for talent forecasting, attrition risk, and candidate success scores
  • Develop data visualizations, dashboards, and reports using Python, SQL & BI tools
  • Perform EDA (exploratory data analysis) to uncover insights that inform recruitment strategies
  • Work with time-series & cohort data for trend analysis and performance metrics
  • Deploy statistical and ML algorithms (regression, clustering, classification) in scalable pipelines
  • Communicate findings & recommendations with clear visual and written formats to stakeholders


Requirements


  • Pursuing (or recently completed) B.Tech/BE/M.Tech/MSc in Data Science, Computer Science, Statistics, or related fields
  • Proficiency in Python + core libraries (Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn)
  • Familiarity with SQL for querying relational datasets
  • Sound understanding of ML fundamentals – supervised/unsupervised learning methods
  • Strong statistics foundation – distributions, hypothesis testing, probability
  • Ability to interpret data, derive insights, and present conclusions clearly
  • Strong communication skills, ownership mindset & enthusiasm to learn


Nice to Have (Bonus)


  • Knowledge of BI tools (Power BI / Tableau / Looker / Metabase)
  • Basics of cloud platforms (AWS/GCP/Azure) or Docker
  • Prior exposure to HR analytics or recruitment datasets


What You’ll Get


  • Practical exposure to solving real-world data problems in HR Tech
  • Experience working on high-impact product features used by recruiters and hiring managers
  • 1:1 mentorship by experienced data scientists and access to premium resources
  • Internship Certificate & Letter of Recommendation upon successful completion
  • Opportunity for a Pre-Placement Offer (PPO) at WillHire or client companies


Hiring Process


Online Application

  • Submit CV, GitHub/Kaggle links, and a brief note on your interest and experience

Technical Assessment

  • Assignment to test Python, SQL, EDA, or modeling approach

Technical Interview

  • In-depth discussion (45 mins) on your ML/stats understanding & problem-solving

Managerial Interview

  • Evaluate communication skills, culture fit & motivation

Offer

  • Selected applicants receive the internship offer with stipend details & project allocation

Onboarding

  • Orientation, project assignment & setup with tools and mentors


Stipend

Minimum stipend starts at £17/hour , with the possibility of a higher rate based on performance in the interviews.

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Data Science Manager

Harnham

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Senior Data Science Manager

Brighton - 1 day a week

Up to £100,000


About the Role

We are working with an innovative organisation that has developed a next-generation GenAI product, with thousands of users engaging in rich conversations daily. This is a unique opportunity to shape and lead the Data Science function at the heart of a high-growth, AI-driven product.


As Senior Data Science Manager, you will be responsible for leading a talented team of Data Scientists while still contributing individually to the design and development of cutting-edge AI and ML infrastructure. This role blends leadership, strategy, and hands-on technical delivery.


This is an exciting chance to lead the data science efforts behind a cutting-edge AI product, while continuing to be hands-on with the technical challenges that come with scaling AI at speed.


Key Responsibilities

  • Leading, mentoring, and growing a team of Data Scientists, fostering a high-performance and collaborative culture.
  • Guiding strategic decision-making on technology and architecture to ensure scalable and cost-effective solutions.
  • Driving the development of machine learning models, pipelines, and tooling, with a strong emphasis on MLOps best practices.
  • Acting as a subject matter expert internally and externally, including with key customer stakeholders.
  • Translating business requirements into robust technical solutions, ensuring alignment across teams.
  • Promoting strong data governance, documentation, and observability across systems.
  • Staying ahead of industry trends and introducing new technologies and methods into the team.


What We’re Looking For

  • Proven experience managing and mentoring data science teams.
  • Strong track record delivering impact in a senior data science role.
  • Deep understanding of machine learning model lifecycles and optimisation.
  • Skilled in building, training, and deploying models on large datasets.
  • Proficiency in Python, PyTorch, Scikit-learn, and similar ML frameworks.
  • Experience with cloud environments (AWS preferred), containerisation, and modern data infrastructure.
  • Excellent communication skills, with the ability to work effectively across technical and non-technical stakeholders.
  • A collaborative, curious, and pragmatic mindset, with a passion for solving complex problems.
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Data Science Manager

Marks and Spencer

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The Data Science Manager will manage, lead and inspire a talented and experienced team of data scientists to design, develop, and deploy machine learning (ML) and artificial intelligence (AI) solutions which deliver our Loyalty transformation programme. This role serves as a strategic bridge between Data Science and our Business & Commercial teams, ensuring the effective application of advanced methodologies to achieve measurable and meaningful business outcomes. By fostering innovation, building and supporting a high-performing team, and driving collaboration across functions including Product, Engineering and Data Engineering, the Data Science Manager is key to the success of a major part of M&S's future.,

Summary
The Data Science Manager will manage, lead and inspire a talented and experienced team of data scientists to design, develop, and deploy machine learning (ML) and artificial intelligence (AI) solutions which deliver our Loyalty transformation programme. This role serves as a strategic bridge between Data Science and our Business & Commercial teams, ensuring the effective application of advanced methodologies to achieve measurable and meaningful business outcomes. By fostering innovation, building and supporting a high-performing team, and driving collaboration across functions including Product, Engineering and Data Engineering, the Data Science Manager is key to the success of a major part of M&S's future.

All the details
What's In It For You
Being a part of M&S is exactly that – playing your part to bring the magic of M&S to our customers every day. We're an inclusive, dynamic, exciting, and ever evolving business built on doing the right thing and bringing exceptional quality, value, service to every customer, whenever, wherever and however they want to shop with us.

Here are some of the benefits we offer that make working for M&S just that little bit more special…

  • After completing your probationary period, you'll receive 20% colleague discount across all M&S products and many of our third-party brands for you and a member of your household.
  • Competitive holiday entitlement with the potential to buy extra holiday days
  • Discretionary bonus schemes awarded based on how you achieve your personal objectives and our performance as a business.
  • A generous Defined Contribution Pension Scheme and Life Assurance.
  • A dedicated welcome to our teams with a tailored induction and a wide range of training programmes to develop your skills.
  • Amazing perks and discounts via our M&S Choices portal to maximise your financial and personal wellbeing.
  • Industry-leading parental, adoption and neonatal policies, providing support and flexibility for your family.
  • Access to a fantastic range of wellbeing support for all colleagues including access to our 24/7 Virtual GP and PAM Assist to support you and your family.
  • A charity volunteer day to support a charity or cause you're passionate about through a dedicated day away from work.

Who You Are

  • A collaborative and supportive leader who inspires and develops Data Scientists, creating a culture of openness, learning and excellence in delivery.
  • Technically skilled in a wide range of ML/AI methods, with experience turning advanced models into real-world solutions that customers feel and business teams value.
  • You have a pragmatic and commercial attitude, ready and willing to consider the full range of technical options available from simple to complex, depending on what's most appropriate and what will deliver value most effectively
  • Curious and innovative, keeping pace with new ML/AI advancements and applying them to unlock new ways of serving customers.
  • An excellent communicator and business partner who can make complex concepts simple, building trust and influence with both technical and commercial partners.

What You Will Do

  • Lead, manage and grow a high-performing Data Science team shaping the future of our customer Loyalty programme through seamless personalisation and optimisation
  • Deliver scalable ML/AI solutions end-to-end that step-change how we understand, reward and engage with customers through our Loyalty programme.
  • Partner with product, engineering and commercial teams to embed solutions seamlessly into the customer experience and business processes.
  • Set the standard for agile Data Science delivery, testing and model monitoring, ensuring solutions are robust, reliable and impactful.
  • Drive innovation and act as a trusted advisor, helping transform how Data Science develops value for our customers and our business.

Everyone's welcome
We are ambitious about the future of retail. We're disrupting, innovating and leading the industry into a more conscientious, inspiring digital era. We're transforming how we work together and offering our most exciting opportunities yet. Marks & Spencer strives to be an inclusive organisation, trusted and admired by our colleagues, customers and suppliers. Join us and make change happen.

We are committed to building diverse and representative teams, where everyone can bring their whole selves to work and be at their best. We support each other and work together to win together.

If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don't hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process.

hybridrole
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Data Science Manager

Harnham

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Data Science Manager

Up to £85,000



Join a fintech platform revolutionising workplace savings and pensions by making sustainable investing simple for both employees and employers. They’re right where finance, tech, and wellbeing meet with backing from a major bank but the feel of fintech innovation.



Responsibilities:

  • Stay hands-on while advising business leaders on data-driven decisions.
  • Drive improvements in client and customer outcomes through active data analysis and modeling.
  • Develop and refine predictive and machine learning models.
  • Build and optimize customer lifetime value and key metric models.
  • Continuously improve analytics and model accuracy.
  • Lead and contribute to scalable model deployment in production.



Requirements:

  • MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
  • Experience in Consumer / Marketing Analytics
  • Strong proficiency in Python and experience with relevant ML libraries/frameworks.



Please note:

This role requires 1 day onsite per week onsite in Central London.

This role cannot provide visa sponsorship.

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Data Science Manager

London, London Harnham

Posted 1 day ago

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Data Science Manager

Up to £85,000



Join a fintech platform revolutionising workplace savings and pensions by making sustainable investing simple for both employees and employers. They’re right where finance, tech, and wellbeing meet with backing from a major bank but the feel of fintech innovation.



Responsibilities:

  • Stay hands-on while advising business leaders on data-driven decisions.
  • Drive improvements in client and customer outcomes through active data analysis and modeling.
  • Develop and refine predictive and machine learning models.
  • Build and optimize customer lifetime value and key metric models.
  • Continuously improve analytics and model accuracy.
  • Lead and contribute to scalable model deployment in production.



Requirements:

  • MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
  • Experience in Consumer / Marketing Analytics
  • Strong proficiency in Python and experience with relevant ML libraries/frameworks.



Please note:

This role requires 1 day onsite per week onsite in Central London.

This role cannot provide visa sponsorship.

This advertiser has chosen not to accept applicants from your region.

Data Science Manager

Oxfordshire, South East IC Resources

Posted 1 day ago

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Job Description

Software Engineering Manager – Data & Analytics

Location: Oxfordshire, UK (Hybrid)

A growing technology company is seeking a Software Engineering Manager to lead the design and delivery of advanced data and analytics software. This role sits at the intersection of software development, data processing, and engineering leadership, offering the chance to shape technical strategy while remaining hands-on.

The Role:

  • Lead and mentor a small team of software engineers and data specialists.
  • Oversee the design, development, and delivery of high-quality data software.
  • Manage project timelines, priorities, and software quality processes.
  • Collaborate with research and engineering teams to deliver integrated solutions.
  • Drive best practices in coding, testing, and continuous improvement.
  • Contribute technically in Python or similar languages when needed.

Requirements:

  • 5+ years in software engineering, including leadership or management experience.
  • Strong programming skills (Python preferred).
  • Proven record of delivering robust, production-grade software systems.
  • Familiarity with scientific or analytical data processing is beneficial.
  • Excellent communication, organisation, and problem-solving skills.

Education:

  • Degree in Computer Science, Engineering, or a related technical field.

Package:

£62,000–£75,000 depending on experience, plus bonus, benefits, and hybrid working flexibility.

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Manager Data Science

Birmingham, West Midlands Mondelez International

Posted 10 days ago

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**Job Description**
**Are You Ready to Make It Happen at Mondelēz International?**
**Join our Mission to Lead the Future of Snacking. Make It** **With** **Pride.**
You will be crucial in supporting our business by leading a team of data scientists, supporting them in applying the best analytical methods to improve the statistical forecast and overcome business challenges. You will work with various stakeholders to determine how to use business data for business solutions/insights.
**About the role**
In this role you will:
+ Build and develop a high-performing team, fostering a culture of collaboration, continuous learning, and professional growth.
+ Mentor and coach team members to unlock their full potential by ensuring a supportive and inclusive work environment.
+ Support the team in analyzing and deriving value from data using application methods such as statistics, time series modelling, machine learning and data visualization. 
+ Help the team determine, create and maintain the best time series / machine learning models be to use, taking into accountSKU demand behavior using segmentation strategies, to generate high quality statistical demand forecast with low forecast error and bias.
+ Partner with Demand Planning teams in markets to understand business challenges, create valuable, actionable data insights, and communicate findings to the business.
+ Collaborate with stakeholders toidentify and clarify business or technical questions that need to be answered. Provide feedback to translate and refine business questions into actions.
**The experience we are looking for:**
+ A desire to drive your future and accelerate your career and the following experience and knowledge:
+ Proven leadership and people management skills, with at least 3 years of experience building and developing high-performing teams.
+ 5+ years of experience in data science, preferably with a focuson time series forecasting,FMCG, Food & Beverages, Retail or similar industries with a proven track record of delivering effective business solutions.
+ Experience in application of ML concepts and methodologies (particularlytime series modeling, but also regression, classification, feature engineering and selectionetc.)
+ Proficiency in SAS, SQL, Python,and other programming languages to communicate effectively with technical teams.
+ Excellent communication and presentation skills, ability to explaincomplex analytical topics to both technical and non-technical stakeholders.
+ Advanced English
**What we offer**
+ Exciting work in a multi-cultural team of bright minds.
+ Global career opportunities.
+ Flexible remote work options, or - if you prefer - access to one of our modern offices.
+ All kinds of benefits depending on the location.
**More about this role**
**What you need to know about this position:**
**What extra ingredients you will bring:**
**Education / Certifications:**
**Job specific requirements:**
**Travel requirements:**
**Work schedule:**
**Relocation Support Available?**
**Business Unit Summary**
**We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!**
**_Our people make all the difference in our succes_**
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
**Excited to grow your career?**
We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!
**IF YOU REQUIRE SUPPORT TO COMPLETE YOUR APPLICATION OR DURING THE INTERVIEW PROCESS, PLEASE CONTACT THE RECRUITER**
**Job Type**
Regular
Analytics & Modelling
Analytics & Data Science
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.
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Data Science Manager

London, London Meta

Posted 11 days ago

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**Summary:**
As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world.You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a impact oriented team. By joining Meta, you will become part of the analytics community dedicated to skill development and career growth in analytics and beyond.About the role:Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.People leadership: You will inspire, lead and grow a team of data scientists and data science leaders.
**Required Skills:**
Data Science Manager Responsibilities:
1. Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world
2. Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
3. Influence product direction through clear and compelling presentations to leadership
4. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
5. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
6. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
7. Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
**Minimum Qualifications:**
Minimum Qualifications:
8. Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree ideally should be completed before joining Meta
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
11. Experience initiating and completing analytical projects with minimal guidance
12. Experience communicating results of analysis to leadership
**Preferred Qualifications:**
Preferred Qualifications:
13. Proven track record of leading impact oriented analytics teams.
14. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
15. Experience working in technology, consulting, or finance.
**Industry:** Internet
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Data Science Apprentice

B1 1TT Birmingham, West Midlands £25000 Annually WhatJobs

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apprenticeships
Launch your career in the exciting field of data science with this fully remote Data Science Apprenticeship opportunity, based in **Birmingham, West Midlands, UK**. Our client is a cutting-edge analytics firm seeking enthusiastic and intellectually curious individuals to join their innovative team. This apprenticeship provides a unique pathway to develop essential skills in data analysis, machine learning, and statistical modeling under the guidance of experienced data scientists. You will be instrumental in collecting, cleaning, and analyzing large datasets to uncover actionable insights and support data-driven decision-making across various business functions.

Your responsibilities will include assisting with the development and implementation of data models, preparing data for analysis using various programming languages and tools, and contributing to the creation of data visualizations and reports. You will learn to identify trends, patterns, and correlations within data, evaluate the effectiveness of different analytical approaches, and collaborate with cross-functional teams to understand their data needs and deliver relevant insights. This role offers extensive training in Python or R, SQL, machine learning libraries (e.g., Scikit-learn, TensorFlow), and data visualization tools.

We are looking for candidates who possess strong analytical and quantitative skills, a keen interest in mathematics and statistics, and a demonstrable passion for data. Excellent communication skills, both written and verbal, are vital for effectively conveying complex findings. The ability to work independently, manage multiple tasks, and maintain high standards of accuracy in a remote work setting is essential. While formal experience is not required, a degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics) or significant self-study in data-related topics will be advantageous.

This apprenticeship is designed to provide a comprehensive learning experience, including formal training, on-the-job skill development, and opportunities to work on challenging real-world projects. Our client is committed to fostering a supportive and inclusive remote work environment, offering mentorship and career progression opportunities. This is an excellent chance to gain invaluable experience and build a successful career in the rapidly growing field of data science. If you are eager to learn, contribute, and grow, we welcome your application.
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