1,306 Predictive Modeling jobs in the United Kingdom
Remote Junior Data Scientist - Predictive Modeling
Posted 10 days ago
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Job Description
Key Responsibilities:
- Assist senior data scientists in developing and implementing machine learning models.
- Perform data cleaning, preprocessing, and feature engineering on diverse datasets.
- Conduct exploratory data analysis to identify trends, patterns, and insights.
- Support the validation and testing of predictive models.
- Contribute to the documentation of data science processes and methodologies.
- Learn and apply new data science techniques and tools under guidance.
- Collaborate with team members on data-related projects and initiatives.
- Help prepare reports and visualizations to communicate findings.
- Participate in team meetings and knowledge-sharing sessions.
- Proactively seek opportunities to enhance analytical skills and contribute to project success.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
- Foundational knowledge of statistical concepts and machine learning algorithms.
- Proficiency in Python, including libraries such as Pandas, NumPy, Scikit-learn.
- Familiarity with data visualization tools (e.g., Matplotlib, Seaborn).
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- Prior internship or project experience in data analysis or data science is a plus.
Data Science and Machine Learning Consultant
Posted 3 days ago
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Senior Consultant - Data Science & Machine Learning
Location: Manchester city centre (Hybrid, 2-3 days on site) + North West client sites
Salary: 60,000 - 90,000 per annum
Security: SC required to start, must be willing to obtain DV
Are you an experienced Data Scientist or Machine Learning Consultant who wants to apply their skills to projects that really matter? We're growing a specialist team in Manchester and are looking for people who want to shape the future of AI in Defence and National Security.
You'll use your expertise to tackle mission-critical problems - applying advanced data science and machine learning to real-world challenges in text, audio, image and video. From building models and leading implementations through to mentoring colleagues and influencing new propositions, you'll play a key role in both delivery and practice growth.
What we're looking for
- Hands-on experience in data science or ML, ideally in Defence, Security, public sector or academia.
- Strong technical grounding in ML methods (Transformers, CNNs, Generative AI, etc.) with proficiency in Python and libraries such as TensorFlow, PyTorch or scikit-learn.
- Familiarity with cloud-based toolkits (AWS, Azure, GCP).
- Strong communication skills - able to explain complex findings clearly to technical and non-technical stakeholders.
- Collaborative, curious and eligible for DV clearance.
Why this role?
- Work only on high-value, impactful Defence projects.
- Join at the ground floor of a growing team, with opportunities to lead and shape its direction.
- Enjoy progression, variety and hybrid flexibility in a modern city-centre location.
If you're passionate about advancing AI and want your work to make a real difference, we'd love to hear from you.
People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Data Science Lead
Posted today
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The Head of Data Science will lead the Data Science department, driving data-driven decision-making and delivering impactful insights within the public sector. This role in Birmingham requires expertise in data science methodologies and a strong ability to manage and develop analytics teams. Hybrid working is also available in Cardiff or London
Client Details
The organisation is a well-established public sector entity with a significant focus on leveraging data to improve services and inform strategic decisions. As an organisation, they are committed to fostering innovation and maintaining high operational standards
Description
- Support the Director of Risk, Data Analysis and Insight to develop the analysis programme in line with the overall Strategic Plan
- Lead and manage the Data Science department, ensuring the delivery of high-quality data insights.
- Develop and implement data science strategies to support organisational objectives.
- Collaborate with cross-functional teams to identify and solve complex data challenges.
- Oversee the design, development, and deployment of predictive models and algorithms.
- Ensure compliance with data governance and ethical guidelines in all analytics activities.
- Provide mentorship and professional development opportunities for team members.
- Communicate findings and actionable insights to senior leadership and key stakeholders.
- Select and apply the most appropriate analysis, data science and statistical techniques given the research objectives and the data
- Develop appropriate analytical methods in firm-based risk assessment and thematic risks
- Provide internal consultancy across Directorates and Programmes on analytical methods and techniques
- Stay informed about industry trends and emerging technologies in the public sector.
Profile
A successful Head of Data Science should have:
- Proven experience in data science and analytics, ideally within the public sector or regulatory body.
- A strong background in statistical modelling, machine learning, and data visualisation tools
- Expert use of standard statistical tools e.g. R/Python and relevant associated libraries
- Deep expertise in building and maintaining AI and machine learning models, including use of deep learning, natural language processing, and LLMs
- Excellent leadership and team management skills.
- A solid understanding of data governance and ethical considerations.
- Outstanding communication skills to present complex data in an accessible manner.
- A degree or equivalent qualification in data science, mathematics, or a related field.
- Demonstrated ability to collaborate across departments and with senior stakeholders.
Job Offer
- Competitive salary range of 65,000 to 77,000 (London) per annum.
- 25 days of annual leave, increasing to 27 after 2 years of service.
- Generous pension contributions (up to 19.25%).
- Income protection, life assurance and Private Medical benefits.
- 3% of annual salary available for additional benefits, including dental insurance and travel insurance.
- Opportunities to work on meaningful projects within the public sector in Birmingham.
Take the next step in your career as a Head of Data Science and apply today to make a real impact in the public sector!
Data Science Manager
Posted today
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Data Science Manager
Posted 1 day ago
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Job Description
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.
Manager Data Science
Posted 24 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.
Data Science Manager
Posted 24 days ago
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Job Description
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 Graduate
Posted 10 days ago
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As a Data Science Graduate Intern, you will work closely with our experienced data science team on real-world projects. Your responsibilities will include data collection, cleaning, and preprocessing; exploratory data analysis to identify trends and patterns; building and testing predictive models; and assisting in the visualization and interpretation of data insights. You will gain hands-on experience with various data science tools and programming languages, such as Python (with libraries like Pandas, NumPy, Scikit-learn) and R, as well as SQL for database management. Opportunities to learn about machine learning algorithms, statistical modeling techniques, and data storytelling will be provided.
We require strong analytical and problem-solving skills, a keen eye for detail, and a genuine passion for data. Excellent communication skills, both written and verbal, are essential for presenting findings and collaborating with team members. Familiarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus. This internship is designed to provide comprehensive training and exposure to the entire data science workflow. It is an ideal stepping stone for graduates seeking to build a successful career in data science, offering the chance to contribute meaningfully to projects and develop a robust professional portfolio. We value curiosity, eagerness to learn, and a collaborative spirit.
Data Science Apprentice
Posted 10 days ago
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Job Description
The apprenticeship will provide a structured learning path, combining on-the-job training with formal study towards a recognised qualification. You will be involved in developing predictive models, building dashboards, and extracting actionable insights that drive business decisions. This position requires excellent problem-solving skills, a strong attention to detail, and the ability to work independently and collaboratively in a virtual team environment. You will be expected to contribute ideas, ask questions, and actively participate in team discussions and project meetings. A foundational understanding of mathematics and statistics would be advantageous, as would basic programming knowledge (e.g., Python, R), though comprehensive training will be provided. This is a fantastic stepping stone for anyone aspiring to a career in data analytics or data science, offering practical experience and professional development in a supportive, remote-first setting.
Responsibilities:
- Assist in data collection, cleaning, and preprocessing from various sources.
- Support data analysis and interpretation to identify trends and patterns.
- Learn and apply machine learning algorithms and statistical models under guidance.
- Contribute to the development of data visualizations and reports.
- Participate in team meetings and project discussions.
- Collaborate with senior data scientists and analysts on ongoing projects.
- Undertake formal study as part of the apprenticeship program.
- Assist in evaluating the performance of data models and algorithms.
- Maintain accurate documentation of data processes and findings.
- Develop a strong understanding of data ethics and governance.
- Minimum of 5 GCSEs at grade C/4 or above, including Maths and English, or equivalent qualifications.
- Strong analytical and problem-solving abilities.
- Interest in data, technology, and mathematics.
- Basic understanding of programming concepts (e.g., Python) is beneficial but not essential.
- Excellent communication skills, both written and verbal.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- Team player with a positive attitude.
Data Science Associate
Posted 10 days ago
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Metyis is growing! We are looking for a Data Science Associate with 3-4 years of experience to join our Data and Analytics team in London.
Who we are
Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering Big Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities.
With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.
We are Metyis. Partners for Impact.
We are looking for a Data professional to join our Data Science team. As a Data Science Associate, you are responsible for turning our clients’ business a more data-driven one, where data is used to drive action in every team, every day.
What we offerInteract with our clients on regular basis, to drive their business towards impactful change.
Work in multidisciplinary teams and learn from motivated colleagues.
A chance to take responsibility for your work, develop yourself every day and take full ownership of your career.
Become part of a fast growing international and diverse team.
Perform data analysis in the field of Growth Revenue Management, Marketing Analytics, CLM/CRM Analytics and/or Risk Analytics.
Conduct analyses in typical analytical tools ranging from SAS, SPSS, Eviews, R, Python, SQL, Teradata, Hadoop, Access, Excel, etc.
Communicate analyses via compelling presentations.
Solve problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data and analysis.
Prepare and facilitating workshops.
Manage stakeholders and communicating with executives.
Coach and mentor team members.
3-5 years of professional work experience in the analytics domain.
An advanced degree in a quantitative field (e.g. mathematics, computer programming, etc.).
An ability to think analytically, decompose problem sets, develop hypotheses and recommendations from data analysis.
Strong technical skills regarding data analysis, statistics, and programming. Strong working knowledge of, Python, Hadoop, SQL, and/or R.
Working knowledge of Python data tools (e.g. Jupyter, Pandas, Scikit-Learn, Matplotlib).
Ability to talk the language of statistics, finance, and economics a plus.
Profound knowledge of the English language.
At Metyis, we are driven by curiosity and collaboration. We value diversity, equity, inclusion, and belonging (DEIB) in all its forms as it makes us stronger as an organisation and promotes creativity and innovation. We welcome all talents and are committed to creating a workplace where every employee can make a meaningful impact and grow.