226 Machine Learning Architect jobs in London

About SAP Fioneer 

At SAP Fioneer, innovation drives everything we do. Spun out from SAP, we combine agility, cutting-edge delivery, and financial services expertise to build the next generation of banking software. 

Our mission: Enable banks to achieve speed, scalability, and cost-efficiency through digital innovation, cloud-native technology, and solutions that cover core banking processes end-to-end. With rapid global growth, a lean structure, and a collaborative culture, SAP Fioneer is the place to accelerate your career. 

The Role 

We are seeking a (Gen)AI Development Lead (m/f/d) to spearhead AI feature development for our banking products. You’ll be the central driver of our GenAI strategy—designing, coding, and deploying production-grade features that integrate into our core banking software. 

This is a hands-on technical leadership role. You will build prototypes, deliver production-ready code, and define the technical vision for AI within SAP Fioneer. You will also grow and mentor a dedicated AI development team and ensure best practices for scalable, secure AI solutions. 

What You’ll Do 

• Lead the technical design, development, and deployment of (Gen)AI-powered features for our banking products 

• Be part of the complete innovation process for AI capabilities – all the way from rapid prototypes and demos to production-grade solutions that can be deployed at large banks globally 

• Work closely with core banking solutions and data – enabling AI agents to interact with transaction data, automate business processes, and generate insights as well as recommendations for our banking customers and their clients 

• Lead and further grow a high-performing AI development team, setting technical direction and mentoring developers 

• Collaborate with product managers, solution leads, and our customers to ensure AI features meet requirements and deliver tangible business value 

• Provide architectural and technical guidance to implementation teams, including where AI features touch SAP/ABAP components 

Requirements

What You Bring 

Technical expertise 

• 7+ years of software development with a track record of delivering AI/ML solutions in production 

• Deep understanding of different approaches to integrate LLMs into enterprise solutions
• Hands-on experience with LangChain, LangGraph, LlamaIndex or similar frameworks 

• Strong programming skills (e.g. Python, Java, JavaScript, C++, R) 

• Cloud-native development experience (Azure, AWS, or Google Cloud) with containerization/orchestration (Docker, Kubernetes)  

• Proven ability to integrate AI into enterprise-grade systems; SAP/ABAP exposure and experience is a strong plus 

• Experience in leading and scaling development teams 

• Skilled at translating business requirements into scalable AI architectures 

Why Join Us? 

• Shape the future of AI in banking – Lead the creation of AI capabilities embedded in mission-critical systems 

• Hands-on innovation – Own the full lifecycle from prototype to production 

• Team-building impact – Build and mentor a new AI development team from the ground up 

• Global collaboration – Work with colleagues and clients across continents 

• Flexibility – Remote-first with occasional travel for high-value interactions 

Benefits

We offer a comprehensive benefits package that includes occupational pension provisions, support for health and wellbeing, various mobility options like bike leasing and transportation allowances, as well as additional perks such as celebration rewards, meal programs, jubilee recognition, and relocation reimbursement.

Müller's Solutions is seeking an innovative and driven AI Business Development Specialist to join our rapidly growing team. In this role, you will focus on identifying new opportunities within the Artificial Intelligence sector, driving adoption of AI solutions, and expanding our market presence.

Your expertise in AI technologies, combined with your passion for business development, will allow you to engage effectively with clients, understand their unique challenges, and present tailored AI-driven solutions to enhance their operations. You will play a vital role in building relationships and promoting our offerings in this cutting-edge field.

Key Responsibilities:

• Identify and pursue new business opportunities in the AI domain.
• Build and maintain strong relationships with existing and prospective clients.
• Conduct market research to stay updated on AI trends and competitive landscape.
• Develop and deliver presentations that effectively articulate the value and benefits of AI solutions.
• Collaborate with technical teams to align AI solutions with client requirements.
• Prepare strategic proposals and negotiate contracts with clients.
• Track and report on business development metrics and adjust strategies as needed.
• Represent Müller's Solutions at industry conferences and networking events to promote our AI services.

Requirements

• About Us
• At Müller Solutions, we believe AI is reshaping industries . From government digital transformation to retail, energy, and financial services, our mission is to help organizations unlock the full potential of AI consulting and AI-powered solutions . With strong presence across Saudi Arabia, UAE, Egypt, and Germany, we are building the next wave of AI-driven growth in the region .

• The Opportunity
• We are looking for an ambitious and dynamic AI Business Development Manager who will become the face of our AI practice in Saudi Arabia . This role goes beyond sales—it’s about shaping conversations with executives, spotting opportunities where AI can transform businesses, and driving deals from idea to reality .
• If you are passionate about AI, innovation, and business growth —this role is for you.

• What You’ll Do
• Champion Müller Solutions’ AI services and solutions in the Saudi and GCC markets.
• Identify, pitch, and close opportunities across industries (Government, Energy, Retail, Banking, Manufacturing).
• Act as a trusted advisor to clients on how AI can solve their toughest challenges .
• Collaborate with our AI consultants and delivery teams to design winning solutions.
• Represent Müller Solutions at events, conferences, and client workshops.
• Consistently achieve and exceed growth targets.
• What We’re Looking For
• Saudi National (priority for this role).
• 4+ years’ experience in business development or solution sales within technology, digital transformation, or consulting.
• Strong understanding of AI technologies (Machine Learning, NLP, Computer Vision, Generative AI) and ability to communicate their business impact.
• Proven track record of closing deals and building client relationships.
• Strong communication, negotiation, and presentation skills.
• Bilingual (Arabic & English).
• A proactive, entrepreneurial mindset with passion for innovation and growth .

Benefits

Why Join Us:

• Competitive salary + performance-based incentives .
• Be part of a fast-growing AI consulting leader in the MENA region.
• Work on high-impact projects with governments and top enterprises.
• Career growth opportunities in AI and digital transformation leadership .
• Collaborative, innovative, and entrepreneurial culture.

**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

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 offer

• Interact 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.

What You Will Do

• 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.

What you'll bring

• 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.

About Low Carbon

Low Carbon is a purpose driven company that creates large-scale renewable energy in the global fight against climate change. Our mission is to protect the planet for future generations while delivering positive returns for our communities and investors. Our goal is to produce as much new renewable energy as possible while limiting our own environmental impact. We do this by developing, investing in, and operating large-scale renewable energy projects across the globe.

Our partnership with the Massachusetts Mutual Life Insurance Company (MassMutual) is enabling us to accelerate the deployment of large-scale renewable energy and underpins our ambition to transform the global energy sector from fossil fuels to zero carbon.

All of us at Low Carbon know that trust is a vital component of the climate fight. We are a long-standing certified B-Corporation, a reflection of our fundamental ethos to balance the needs of the environment and society with our bottom line.

We are extremely proud of the highly professional and talented team at Low Carbon. We have built a positive learning culture that incorporates respect, trust, collaboration, and a shared passion to combat climate change. It is an open, friendly and supportive environment, and we are proud to say we work here. As we grow, we are committed to increasing diversity in the team, and continuing to foster an inclusive environment where we can learn from each other.

Role Description

The Low Carbon Data Science Internship is a 10-week summer program for undergraduate, graduate students and/or recent graduates. We want our internship colleagues to develop their skills in these emerging fields by working on real-world projects that make an impact on climate change and our business.

In 2023, our Data Science Summer Interns worked on deploying AI solutions across our business, on topics ranging from Renewable Asset Management, to Investment and Finance, presenting insights to our Executive Committee.

For our 2024 program, the successful candidate will form a crucial member of a small squad deployed on a real world business problem within the renewable energy industry. During the program there will be learning and support, including mentorship from subject matter experts in the business, and input and feedback from our senior industry professionals

Key Responsibilities

Working with other interns and project mentors, you will:

• Use Data Science to help solve a specific, live business challenge at Low Carbon
• Frame and structure practical solutions to challenging business problems
• Work in Agile Sprints to iteratively design, test and run trial solutions
• Present findings and key recommendations to senior stakeholders

Person Specification

• Undergraduate students, postgraduate students, or recent graduates from degrees in computer science, data science, statistics, mathematics, engineering and related fields
• A genuine interest in climate change and the role technology and data can play in solving some of our biggest climate challenges
• Eligible to work in the UK, on a 40-hour per week basis, continuously, from 8th July to 13th September
• An enthusiastic and committed team player who will work well with internship colleagues and key business stakeholders
• Energetic, reliable, adaptable and used to using their initiative
• A friendly, approachable and professional manner

Skills & Experience

• Practical experience of Programming in Python
• Demonstrable Data Science project experience (inside or outside classroom)
• Sound knowledge of fundamental statistical concepts
• Excellent problem-solving ability
• Ability to communicate results and present findings to a variety of stakeholders

Our Compensation & Benefits

• Competitive salary
• 26 days holiday + your birthday off (pro-rata for the duration of your internship)
• Lots of office social events
• Working in newly fit-out offices in Central London
• Get to work with an experienced, talented team of renewable energy professionals
• Be a part of a dynamic, entrepreneurial mission driven culture
• Make your unique contribution to the fight against climate change

Data Science Consultant - London Reference Code: -en_GBContract Type: PermanentProfessional Communities: Strategy & Transformation

Data Science Consultant

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.  

In a world of globalisation and constant innovation organisations are creating, consuming, and transforming unprecedented volumes of data. We endeavour to work alongside our clients to extract and leverage key insights driven by our Data Science and Analytics expertise and capabilities. It’s an exciting time to join our Data Science Team as we grow together to keep up with client demand and launch offerings to the market. In your role, you will partner with our clients to deliver outcomes through the application of cutting-edge data science methods. 

Your Role

In this role you will play a key role in: 

• Supporting the delivery of our AI, Data Science and Analytics projects and working closely with your colleagues, ensure Client expectations are met at all stages. 
• Inspiring our clients on exploiting the potential of Gen AI, data science and analytics in their businesses through demonstrations.  
• Developing and deploying new skills in the fields of AI, Data Science and Analytics, with support from your colleagues, to ensure that current methods are used where appropriate. 
• Delivering work in a structured manner, finding a balance between creativity and practicality to ensure we meet client standards efficiently within the agreed timescales. 
• Working effectively in a team, supporting your peers in delivering at pace and meeting our own high internal standards of output and delivery. 
• As part of your role, you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories: 

Business Development – Contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events. 

Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. 

Learning & development – Training to support your career development and the skills demand within the company, certifications etc. 

Your Profile

We’d love to meet someone with: 

• Experience in working within the fields of AI, Data Science and Analytics, with a proven track record of successfully delivered work across the ML lifecycle and a strong foundation in statistical modelling, natural language processing, time-series analysis, spatial analysis, and mathematical modelling methodologies. 
• Keen to demonstrate the potential that Gen AI has to offer to unlock business value. 
• A desire to provide solutions to the real-world issues and challenges with data that our clients face regularly. Strong stakeholder management and presentation skills, with experience in enabling clients to better understand and derive better value and insights from their data. 
• Currently working in a major Consulting firm, and/or in industry but having a Consulting background with a proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering consulting solutions.
• Architectural and/or feature knowledge of one or more of the listed Data and AI Platforms: Google Cloud Platform, Amazon Web Services, Microsoft Azure, Databricks. Experience in one or more of the listed Languages or Packages: Python, R, Pyspark, Scala, PowerBI, Tableau.

What you'll love about working here:

Data Science Consulting brings an inventive quantitative approach to our clients’ biggest business and data challenges to unlock tangible business value by delivering intelligent data products and solutions through rapid innovation leveraging AI. We strive to be acknowledged as innovative and industry leading data science professionals and seek to achieve this by focusing on three area of the data science lifecycle: 

Exploring the art of the possible with AI by combining domain knowledge and AI expertise to identify opportunities across industries and functions where AI can deliver value and by shaping AI/ML roadmaps, and ideation using use cases aligned with data science and business strategies. 

Accelerating impact with AI by enabling proof of value through prototypes and by translating complex AI concepts into practical solutions that democratise access and maximise business advantage for our clients. 

Scaling AI from lab to live by defining and implementing responsible AI design principles throughout the AI journey and establishing sustainable, resilient, and scalable AI/ML Ops architectures and platforms for integrating AI products and solutions into business processes for real-time decision making. 

We are delighted to have received the “Glassdoor Best Places to work UK’ accolade for 5 consecutive years, to see what it’s like to work at Capgemini Invent, visit our Glassdoor page 

Need to know:

At Capgemini we don’t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work. 

We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements. 

Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. 

CSR

We’re also focused on using tech to have a positive social impact. So, we’re working to reduce our own carbon footprint and improve everyone’s access to a digital world. It’s something we’re really serious about.  In fact, we were even named as one of the world’s most ethical companies by the Ethisphere Institute for the 10th year.  When you join Capgemini, you’ll join a team that does the right thing. 

Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. 

We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance. 

About Capgemini

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.

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.

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.

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.