1,303 Data Science Manager jobs in the United Kingdom

Data Science Manager

Harnham

Posted today

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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.
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Data Science Manager

New
Marks and Spencer

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Job Description

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.

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Data Science Manager

London, London Meta

Posted 7 days ago

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Job Description

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

Data Science Manager

Harnham

Posted today

Job Viewed

Tap Again To Close

Job Description

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.

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

Senior Data Science Manager

London, London Campion Pickworth

Posted today

Job Viewed

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Job Description

Campion Pickworth are working with a leading International professional services firm to recruit for Senior Data Science and Machine Learning Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment.


This is a unique opportunity to work on a wide range of high-impact data science projects, leveraging cutting-edge technologies and working alongside a talented team of professionals. You’ll play a key role in shaping our data capabilities and delivering meaningful insights that support business-critical decisions.


What You’ll Do

  • Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions.
  • Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data.
  • Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence.
  • Collaborate with cross-functional teams to identify business needs and translate them into scalable data science solutions.
  • Manage multiple projects from inception to deployment within cloud-based environments.
  • Maintain high standards in code review, documentation, and delivery in a DevOps context.
  • Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models.


What We’re Looking For


Essential Skills and Experience:

  • Proven ability to solve complex, real-world problems through data science and analytics.
  • Experience coaching and reviewing work of junior team members.
  • Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics.
  • Deep knowledge of machine learning methods and their practical application.
  • Experience managing multiple end-to-end data science projects across varied data types.
  • Familiarity with DevOps practices and tools like Git.
  • Cloud experience (e.g. Azure, AWS) and working with ML platforms and services.
  • Strong communication skills, capable of explaining complex topics to non-technical stakeholders.
  • Ability to align data science efforts with broader business objectives.

Desirable Skills:

  • Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs).
  • Familiarity with Generative AI and prompt engineering.
  • Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes.
  • Exposure to Agile development environments and software engineering best practices.
  • Experience working in large or complex organisations or regulated industries.
  • Strong working knowledge of Excel, SQL, Power BI, and Tableau.


Why Join?

  • Work in a fast-growth, innovation-driven environment.
  • Be part of a diverse and inclusive team where your contributions are valued.
  • Tackle meaningful challenges with real-world impact.
  • Access continuous professional development and technical learning opportunities.
This advertiser has chosen not to accept applicants from your region.

Senior Data Science Manager

Campion Pickworth

Posted today

Job Viewed

Tap Again To Close

Job Description

Campion Pickworth are working with a leading International professional services firm to recruit for Senior Data Science and Machine Learning Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment.


This is a unique opportunity to work on a wide range of high-impact data science projects, leveraging cutting-edge technologies and working alongside a talented team of professionals. You’ll play a key role in shaping our data capabilities and delivering meaningful insights that support business-critical decisions.


What You’ll Do

  • Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions.
  • Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data.
  • Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence.
  • Collaborate with cross-functional teams to identify business needs and translate them into scalable data science solutions.
  • Manage multiple projects from inception to deployment within cloud-based environments.
  • Maintain high standards in code review, documentation, and delivery in a DevOps context.
  • Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models.


What We’re Looking For


Essential Skills and Experience:

  • Proven ability to solve complex, real-world problems through data science and analytics.
  • Experience coaching and reviewing work of junior team members.
  • Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics.
  • Deep knowledge of machine learning methods and their practical application.
  • Experience managing multiple end-to-end data science projects across varied data types.
  • Familiarity with DevOps practices and tools like Git.
  • Cloud experience (e.g. Azure, AWS) and working with ML platforms and services.
  • Strong communication skills, capable of explaining complex topics to non-technical stakeholders.
  • Ability to align data science efforts with broader business objectives.

Desirable Skills:

  • Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs).
  • Familiarity with Generative AI and prompt engineering.
  • Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes.
  • Exposure to Agile development environments and software engineering best practices.
  • Experience working in large or complex organisations or regulated industries.
  • Strong working knowledge of Excel, SQL, Power BI, and Tableau.


Why Join?

  • Work in a fast-growth, innovation-driven environment.
  • Be part of a diverse and inclusive team where your contributions are valued.
  • Tackle meaningful challenges with real-world impact.
  • Access continuous professional development and technical learning opportunities.
This advertiser has chosen not to accept applicants from your region.

Senior Data Science Manager

Campion Pickworth

Posted today

Job Viewed

Tap Again To Close

Job Description

Job Description

Campion Pickworth are working with a leading International professional services firm to recruit for Senior Data Science and Machine Learning Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment.


This is a unique opportunity to work on a wide range of high-impact data science projects, leveraging cutting-edge technologies and working alongside a talented team of professionals. You’ll play a key role in shaping our data capabilities and delivering meaningful insights that support business-critical decisions.


What You’ll Do

  • Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions.
  • Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data.
  • Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence.
  • Collaborate with cross-functional teams to identify business needs and translate them into scalable data science solutions.
  • Manage multiple projects from inception to deployment within cloud-based environments.
  • Maintain high standards in code review, documentation, and delivery in a DevOps context.
  • Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models.


What We’re Looking For


Essential Skills and Experience:

  • Proven ability to solve complex, real-world problems through data science and analytics.
  • Experience coaching and reviewing work of junior team members.
  • Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics.
  • Deep knowledge of machine learning methods and their practical application.
  • Experience managing multiple end-to-end data science projects across varied data types.
  • Familiarity with DevOps practices and tools like Git.
  • Cloud experience (e.g. Azure, AWS) and working with ML platforms and services.
  • Strong communication skills, capable of explaining complex topics to non-technical stakeholders.
  • Ability to align data science efforts with broader business objectives.

Desirable Skills:

  • Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs).
  • Familiarity with Generative AI and prompt engineering.
  • Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes.
  • Exposure to Agile development environments and software engineering best practices.
  • Experience working in large or complex organisations or regulated industries.
  • Strong working knowledge of Excel, SQL, Power BI, and Tableau.


Why Join?

  • Work in a fast-growth, innovation-driven environment.
  • Be part of a diverse and inclusive team where your contributions are valued.
  • Tackle meaningful challenges with real-world impact.
  • Access continuous professional development and technical learning opportunities.

This advertiser has chosen not to accept applicants from your region.
Be The First To Know

About the latest Data science manager Jobs in United Kingdom !

Senior Data Science Manager

London, London Campion Pickworth

Posted today

Job Viewed

Tap Again To Close

Job Description

Job Description

Campion Pickworth are working with a leading International professional services firm to recruit for Senior Data Science and Machine Learning Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment.


This is a unique opportunity to work on a wide range of high-impact data science projects, leveraging cutting-edge technologies and working alongside a talented team of professionals. You’ll play a key role in shaping our data capabilities and delivering meaningful insights that support business-critical decisions.


What You’ll Do

  • Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions.
  • Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data.
  • Guide and mentor junior data scientists and analysts, fostering a culture of growth and technical excellence.
  • Collaborate with cross-functional teams to identify business needs and translate them into scalable data science solutions.
  • Manage multiple projects from inception to deployment within cloud-based environments.
  • Maintain high standards in code review, documentation, and delivery in a DevOps context.
  • Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models.


What We’re Looking For


Essential Skills and Experience:

  • Proven ability to solve complex, real-world problems through data science and analytics.
  • Experience coaching and reviewing work of junior team members.
  • Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics.
  • Deep knowledge of machine learning methods and their practical application.
  • Experience managing multiple end-to-end data science projects across varied data types.
  • Familiarity with DevOps practices and tools like Git.
  • Cloud experience (e.g. Azure, AWS) and working with ML platforms and services.
  • Strong communication skills, capable of explaining complex topics to non-technical stakeholders.
  • Ability to align data science efforts with broader business objectives.

Desirable Skills:

  • Experience using R and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs).
  • Familiarity with Generative AI and prompt engineering.
  • Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes.
  • Exposure to Agile development environments and software engineering best practices.
  • Experience working in large or complex organisations or regulated industries.
  • Strong working knowledge of Excel, SQL, Power BI, and Tableau.


Why Join?

  • Work in a fast-growth, innovation-driven environment.
  • Be part of a diverse and inclusive team where your contributions are valued.
  • Tackle meaningful challenges with real-world impact.
  • Access continuous professional development and technical learning opportunities.

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

Data Science Manager, Digital Technologies

London, London Medtronic

Posted 6 days ago

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Job Description

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You'll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.
**A Day in the Life**
The Digital Technologies Business Unit (DTBU) at Medtronic is implementing cutting-edge AI technology, computer vision, and augmented reality in the operating room (OR) to augment surgical coaching, and eventually, performance. Our goal is to deliver safer surgery around the world.
Our Touch SurgeryTM Video solution is an innovative video management and data analytics platform for hospitals that includes the DS1 Computer, our first OR device, allowing surgeons, OR team members, and trainees to securely access videos of their procedures shortly after surgery.
**Responsibilities may include the following and other duties may be assigned:**
+ Manage a team of data scientists within the Surgical Operating Unit at Medtronic.
+ Lead advanced analytics initiatives to foster a data-driven culture within Medtronic.
+ Act as a key stakeholder in the design and development of data infrastructure and models.
+ Guide the team in applying statistical and predictive methods to analyze customer behavior and product performance.
+ Oversee the development and productization of data products, delivering actionable insights to customers.
+ Support the professional development of team members and strengthen their technical capabilities.
+ Drive innovation and continuous improvement in data practices and analytics strategies.
**Required Knowledge and Experience:**
+ MSc or PhD in a STEM subject.
+ Previous experience managing teams of data scientists.
+ A solid grounding in SQL with a good understanding of best practices in software engineering and data engineering.
+ Practical object-oriented programming experience in Python with knowledge of relevant packages including Pandas, NumPy, SciPy, Matplotlib, Scikit-learn, Pytorch.
+ In-depth knowledge of statistical and machine learning models as well as experience with end-to-end delivery lifecycles.
+ Experience in writing clean and maintainable code for collaborative working and using code versioning tools.
+ Excellent communicator and experience with stakeholder management.
+ Self-starter mindset - you can proactively identify issues and opportunities for improvement.
+ Experience of and ability to effectively use cloud native data science tooling.
+ Extensive experience with Tableau and dbt or similar tooling.
Ideally, you will bring knowledge of data compliance frameworks, including GDPR, HIPAA, and SOC2 policies. Experience integrating highly heterogeneous data streams-such as IoT data, customer interactions, and product performance metrics-is also valuable. Additionally, domain knowledge in health technology or surgical practice would be a strong asset.
**Physical Job Requirements**
The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position. 
**Benefits & Compensation**
**Medtronic offers a competitive Salary and flexible Benefits Package**
A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage.
This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP).
**About Medtronic**
We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 95,000+ passionate people.
We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.
Learn more about our business, mission, and our commitment to diversity here ( lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions.
Our Mission - to alleviate pain, restore health, and extend life - unites a global team of 95,000+ passionate people.
We are engineers at heart- putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary.
**We change lives** . Each team member, each day, helps to improve and redefine how the world treats the most pressing health conditions, from heart disease to diabetes. Our industry leadership comes from the passion and ingenuity of our people. That's who we are. Working alongside one another, we use science, medicine, and a profound understanding of the human body to build extraordinary technologies that can transform lives.
**We build extraordinary solutions as one team** . With one Medtronic Mindset defining how we work. Speed and decisiveness run through our DNA. Diverse perspectives inspire our bold answers to any challenge that comes our way. And we deliver results the right way, breakthrough after patient breakthrough.
**This life-changing career is yours to engineer** . By bringing your ambitious ideas, unique perspective and contributions, you will.
+ **Build** a better future, amplifying your impact on the causes that matter to you and the world
+ **Grow** a career reflective of your passion and abilities
+ **Connect** to a dynamic and inclusive culture that welcomes the challenge of life-long learning
These commitments set our team apart from the rest:
**Experiences that put people first** . Respect for people is the hallmark of our humanity. It fuels our team to positively impact even a single life. And it means we put our people first at Medtronic as well, creating a culture of belonging and always pushing to get you the career-building resources you need.
**Life-transforming technologies** . No matter your role, you contribute to technologies that transform lives. What we build empowers patients to live life on their terms.
**Better outcomes for our world** . Here, it's about more than the bottom line. Our Mission to improve human welfare drives us. We advance healthcare, society, and equity with every design, inside and outside our walls.
**Insight-driven care** . Fresh viewpoints. Cutting-edge AI, data, and automation. You're shaping the future of healthcare technology and defining the next generation of breakthroughs in care
It is the policy of Medtronic to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, Medtronic will provide reasonable accommodations for qualified individuals with disabilities.
For sales reps and other patient facing field employees, going into a healthcare setting is considered an essential function of the job and we expect our employees to comply with all credentialing requirements at the hospitals or clinics they support.
This employer participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please click here ( .
For updates on job applications, please go to the candidate login page and sign in to check your application status.
If you need assistance completing your application please email
To request removal of your personal information from our systems please email
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Manager Data Science

Birmingham, West Midlands Mondelez International

Posted 6 days ago

Job Viewed

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Job Description

**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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