23 Big Data jobs in London

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.

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.

• 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.

• 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.

In a changing world, diversity and inclusion are core values for team well-being and performance. At Metyis, we want to welcome and retain all talents, regardless of gender, age, origin or sexual orientation, and irrespective of whether or not they are living with a disability, as each of them has their own experience and identity.

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

About Academy of the Digital Industries

ADI was born out of a simple need: we couldn’t find enough professionals with the right digital skills, so we decided to train them ourselves.

What started in 2018 as a grassroots initiative in Tbilisi has evolved into a global Edtech platform with over 30,000 alumni.

Our programs are built by experts, designed around real world demands, and delivered in an environment of collaboration, curiosity, and growth.

In 2023, we partnered with Tether to take our mission global, expanding access to practical, career-boosting education for learners everywhere. Today, we’re building the next generation of digital professionals: marketers, designers, coders, and creators who don’t just want a job, they want to make an impact.

We’re guided by values we truly live by: putting people first, staying curious, doing excellent work, and taking ownership.

And we’re just getting started.

Role Overview

As a Data Science Mentor, you will primarily support learners in a no-code focused course, helping them understand and apply data analysis and visualization concepts using tools like spreadsheets and dashboards.

You’ll guide students through practical, real-world projects while building their confidence without requiring prior coding experience. There is also scope to expand into supporting code-based data science learning, such as Python, as our course offerings grow.

Responsibilities

• Develop a course syllabus in collaboration with the academic team.

• Be passionate about mentoring, guiding, and sharing your knowledge through student interaction.

• Lead both in-person, online and hybrid workshops, following a detailed syllabus that encourages active discussion and project-based learning.

• Shape the course content based on your expertise, focusing on real-world applications that are cool and accessible to the general public.

• Enrich the learning experience by building a strong community and drawing on your industry expertise to make the content relevant.

• Support and encourage students as they undergo a transformative learning journey.

• Provide constructive feedback to help students improve and grow.

• Foster a positive, engaging, and inclusive learning environment for all students.

• Stay current with the latest development trends and best practices, integrating new technologies and methods into the syllabus.

• Work closely with the academic team to ensure a seamless course experience.

• 3+ years of proven experience as a Data Scientist.

• Proficient in English.

• Based in London and able to travel to Central London to deliver evening workshops.

• Strong proficiency in data handling and analysis (both code & no-code tools).

• Comfortable with framing questions from data.

• Solid understanding of data visualisation and storytelling.

• Ability to help students understand concepts and solve problems by providing support.

• Passion for teaching and the ability to inspire and motivate students.

• Organisation and time-management skills.

• Strong communication and presentation skills.

We’re looking for an inspirational leader that understands and respects the honorable burden of leading fellow brilliant minds. Someone that will have a say in how our data science team executes and how we stay true to our values.

Your mission will be to run a world-class, highly efficient, and business-impact-driving data science team. Under your leadership, this team will balance:

Delivering applicative DS models that power our market-leading innovative products.

Research Lab functionality through DS, allowing the Data Org’s proactive identification of thematic opportunities for the business.

This is a unique opportunity to shape the strategy, methodology, and execution patterns of this vital data function. And lead the team and data culture at a global, data-driven company that creates worlds beyond gameplay and brings communities together.

• Serve as a Heart-First, People-First, Leader
• Exemplify the values we live by. Know and care for the people in your teams out of the understanding that, as a leader, you work for them.
• Nurture a blameless culture. Inspire, develop, and guide your team members to be the best that they can be.
• Formalize your team’s identity to one everyone wants to be a part of.
• Excel as a Senior Manager
• Build the processes that make us run efficiently. That automates the ordinary so we can focus on the extraordinary.
• Be a champion of best practices for project management, and find the right recipe that makes your teams demonstrate high performance.
• Prioritize pragmatically, communicate effectively, and know when to juggle and when to focus.
• Business & Data Focus
• Know the data - Ask ALL the whys, relentlessly, until you know it inside-out. Instill that same rigor in your teams and push context to the entire Data Org.
• Bring Business Value - Obsess about designing DS products that serve the business needs and provide empirical lasting value . You’re not here to produce models but to create measurable quality and impact.
• Be the Face of Your Teams
• Create strong bonds & true partnerships with your stakeholders at the product, company leadership, and data leadership level.
• Translate DS needs from strategic conversations to the day-to-month actions your teams will take.
• Tell the stories of your teams’ deliverables, know how important it is to create awareness, and bridge the gap between non-technical people and what your team does
• Leadership Team Member
• Demonstrate a servant-leadership mindset. Passionately deliver people, process, and culture-enabling products to our team members. Consistently.
• Be willing and able to continuously be expected to learn and improve as a leader and a manager. Challenge and be challenged to develop together.
• Be deliberate about our leadership team’s culture. Spend time with your fellow leaders, laugh together, cry together, and be who you really are.

Requirements

EXPERIENCE

• Data Science Lifecycle
• You have experience in building towards the bigger picture of the ecosystem you’re working in: adding to Data Quality, Monitoring/Observability tools, etc. You know your code will not exist in a void.
• You’ve participated in shaping a CI/CD process of a data science portfolio before. It’s not only about taking a model to production; it’s about maintaining many of them in a constant optimal state.
• You’ve learned and have honed your method of how you pragmatically identify and prioritize the most promising hypotheses.
• You have examples of every business metric you’ve moved through DS, as this is the best way you’ve learned to measure your impact.
• Science Hands-On
• You have a rich experience with many EDA techniques. You know how to use the right one for a specific problem.
• You have a track record of end-to-end model delivery by yourself. Developing, training, deploying, you’ve been through it all and know how to navigate the lifecycle efficiently.
• You have a large toolbox you’ve been assembling for years, from R/Python, through SQL, statistical methods, distributed "big data" technologies (e.g., Spark, Hive, BigQuery, redshift), GCP/AWS/Azure ecosystems and their different SaaS experience. And you know when to use the right tool for the job and not the other way around.
• Stakeholder management
• You are proficient in translating data science efforts into business language, you understand that “if you can’t explain it simply, you don’t really understand it”
• You spent your time and energy creating strong relationships with other teams. Whether they were in product or internally in analytics, you can speak the language that will create bonds. And have a track record to show it.
• Progression of Champions
• A history of experience through the trenches: growing up in statistics, analytics, and DS, serving as a tech lead, leading scientists, Seniors, and Staff scientists.
• You wore different hats, and you’ve walked a mile in different shoes.

• You like to have a good time while getting things done. When we say a “team player,” we mean it - you have a crisp high-five and funny stories to tell. You have your team’s back, and the team has yours.
• You love learning new things: You know that there’s always more to learn. You’re up-to-date on new trends in data – you know who’s using what to solve various problems and are excited for the next release of your favorite tool.

• Past experience in the Esports/Gaming/Betting/Events industry would be a great asset.
• You make the time to cheer and enjoy the ride.

Capgemini Invent

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 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

• 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

Your wellbeing 
You’d be joining an accredited Great Place to work for Wellbeing in 2023. 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, and we have invested in wellbeing apps such as Thrive and Peppy. 

Shape your path
You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.
 

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 Invent

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 fuelled 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.

-Understands complex and critical business problems from a variety of stakeholders and business functions, formulate integrated analytical approach to mine data sources, employ statistical methods and machine learning algorithms to contribute solving unmet medical needs, discover actionable insights and automate process for reducing effort and time for repeated use. To manage the definition, implementation and adherence to the overall data lifecycle of enterprise data from data acquisition or creation through enrichment, consumption, retention, and retirement, enabling the availability of useful, clean, and accurate data throughout its usefull lifecycle. High agility to be able to work across various business domains. Integrate business presentations, smart visualization tools and contextual storytelling to translate findings back to business users with a clear impact.Independently set strategy, manage budget, ensuring appropriate staffing and coordinating projects within the area supervised. If managing a team: empowers the team and provides guidance and coaching, with limited guidance from more senior managers.

Our Development Team is guided by our purpose: to reimagine medicine to improve and extend peoples lives.

To do this, we are optimizing and strengthening our processes and ways of working.

We are investing in new technologies and building specific therapeutic area and platform depth and capabilities all to bring our medicines to patients even faster.

We are seeking key talent, like you, to join us and help give people with disease and their families a brighter future to look forward to.

Apply today and welcome to where we thrive together!

The Role

As an Associate Director Data Science in the Medical Affairs Advanced Quantitative Sciences group, you will be responsible for the discussion and implementation of data science methodologies applied to patient-level data (including various clinical, real-world, and biomarker data) across clinical development. You will combine your data science and AI skills and your scientific knowledge in biology or medicine to enrich drug development decisions in close collaboration with internal and external partners.

Key Accountabilities:

You will contribute to planning, execution, interpretation, validation and communication of innovative exploratory analyses and algorithms, to facilitate internal decision making.

You will provide technical expertise in data science and (predictive) machine learning/AI to identify opportunities for influencing internal decision making as well as discussions on white papers/regulatory policy.

You will perform hands-on analysis of integrated data from clinical trials and the real world to generate fit-for-purpose evidence that is applied to decision making in drug development programs.

Your Experience

Ph.D. in data science, biostatistics, or other quantitative field (or equivalent).

Working experience in clinical drug development with extensive exposure to clinical trials.

Strong knowledge and understanding of statistical methods such as time to event analysis, machine learning, meta-analysis, mixed effect modeling, longitudinal modeling, Bayesian methods, variable selection methods (e.g., lasso, elastic net, random forest), design of clinical trials.

Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis, and predictive modeling.

Excellent interpersonal and communication skills (verbal and writing)

Ability to develop and deliver clear and concise presentations for both internal and external meetings in key decision-making situations.

Why Novartis:Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting, and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together? :

Commitment to Diversity & Inclusion:

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients lives. Ready to create a brighter future together?

Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up:

GB16 (FCRS = GB016) Novartis Pharmaceuticals UK Ltd.

Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

This range is provided by KDR Talent Solutions. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

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Head of Data Science | Biotechnology Scale-Up | Hybrid (London) | Competitive Salary + Benefits

The Company

Our client is an early-stage, high-growth biotechnology company revolutionizing the life sciences industry through advanced multiomics. Their proprietary technology offers unprecedented insight into the dynamic interplay between genomics and epigenomicspushing the boundaries of how we understand complex biological systems.

• Early-stage biotech company developing cutting-edge multiomic solutions
• Partnering with world-leading researchers to drive innovation in cancer, aging, and neurological diseases
• Agile, mission-driven team at the forefront of personalized medicine
• Strong commercial momentum with launched products and new innovations in the pipeline
• Incredible opportunity to shape the companys scientific and product roadmap

The Role

This is a rare chance to lead a high-impact data science function within a rapidly scaling biotech. Youll be at the interface of internal R&D and external customer collaborations, helping shape the utility and evolution of novel omics technology. Youll build and mentor a team, drive scientific discovery, and directly influence product innovation.

• Lead, build, and mentor a growing team of data scientists
• Develop novel computational methods to harness unique multiomic datasets
• Collaborate with external partners to support scientific publications and joint projects
• Guide internal product development with experimental insights and analysis
• Work closely with early-access customers to support adoption and uncover new use cases

Your Experience

Youll be an experienced computational biologist or bioinformatician, ready to step into a leadership role with a strong technical foundation. You should thrive in a dynamic, collaborative environment and be excited about driving the future of omics-based discovery.

• Proven experience managing teams in computational biology or bioinformatics
• PhD or equivalent experience in a relevant field with strong data analysis expertise
• Deep understanding of genomic data science methods (variant calling, GWAS, QTL mapping, etc.)
• Skilled in at least one scientific programming language (Python, R, or Julia)
• Strong collaborator with a track record of academic or industrial partnerships
• Bonus: experience with ML in genomics, cloud deployment, workflow platforms (Nextflow, DNAnexus), or publication as a lead author

Next Steps

This Head of Data Science role is proving popular and wont be around for long, so please get in touch if you are interested or hit the apply button.

• Seniority levelDirector

• Employment typeFull-time

• Job functionInformation Technology
• IndustriesBiotechnology Research, Hospitals and Health Care, and Medical Practices

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This range is provided by Harnham. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.

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Head of Data Science - Credit Risk/Lending

Up to 130,000 + Bonus

London (2/3 days onsite)

Company:

A long term client of ours, operating within the Credit/Lending space is looking to bring in a new Head of Data Science. Focused on Credit Cards and Loans, the company uses a digital-first platform and smart analytics to assess affordability fairly and lend responsibly. Backed by a trusted brand, its making credit clear, accessible, and ethical.

Responsibilities:

• Lead a Data Science team to build and embed top credit models supporting growth and customer outcomes.
• Develop and deploy segmented credit models for unsecured consumer lending.
• Improve data and analytics by identifying opportunities and encouraging rapid testing.
• Work with Analytics to optimise portfolio value through data and modelling adjustments.
• Communicate insights to stakeholders, monitor model performance, and collaborate across teams and external partners.

Requirements:

• MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields.
• Experience working with models in the Credit Risk/Lending space (Probability of Default, scorecard etc).
• Strong coding skills in Python and SQL
• Strong communication skills, with the ability to work effectively in a fast-paced, collaborative environment.
• 2+ years of data science leadership experience
• Aptitude to embrace AI and its potential for the business, helping to identify and deliver AI projects across the business

**Please note that this role does not offer visa sponsorship**

How to Apply:

Please register your interest by sending your CV to Joseph Gregory via the Apply link on this page

• Seniority levelMid-Senior level

• Employment typeFull-time

• Job functionAnalyst, Engineering, and Science

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