Trabajos principal scientist en LondonCrear alertas

• Have you had a career break of 12+ months?, • Do you have 5+ years of commercial experience, including hands-on experience in Data, Analytics, or related technology roles? Our Returners Programme is specifically designed to support professionals returning to work after a career break. Having restarted over 550 careers since 2016, our Returners Team are here to support you through every stage of the journey, ensuring you have the confidence, skills and opportunity to step back into a successful and rewarding career in business or technology. You’ll be joining FDM as a Consultant within our Data and Analytics Practice, where you will be delivering large-scale projects for our clients across a wide range of sectors and specialist areas. Depending on your background and experience, you could take on the role of: • BI Developer, • Data Engineer, • Data Scientist, • Machine learning Engineer Within the FDM Skills Lab you’ll receive upskilling in: • Business intelligence and advanced analytics, • Diverse data modelling, engineering and warehousing, • Automation and machine learning There are progression opportunities towards Principal Consultant level and the opportunity to explore diverse roles and assignments for a range of global companies in your return to the workforce. Ready to launch the next phase of your career? At FDM, we find driven people from diverse backgrounds. Dedicated to your continuous growth, we offer a non-linear career journey with our Skills Lab helping guide you to the future you want. Your skillsets will grow. Clients will value your increased expertise. And your career will thrive exponentially. Minimum qualifications • Looking to return to work after a break in your career of 12+ months, • At least 5 years of prior commercial industry experience, ideally within data analytics, technology or a related field, • A strong aptitude and interest in business and technology as well as data driven problem solving, • Commitment to at least two years of full-time employment with FDM, • Career coaching, mentoring and access to upskilling throughout your entire FDM career, • Initial upskilling pre-assignment that has been accredited by TechSkills, • Assignments with global companies and opportunities to work abroad Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.

Data Scientist (Contract, GenAI) We’re hiring a Principal Data Scientist to work on cutting-edge Generative AI and LLM-based systems, with a strong focus on the mathematical and analytical side of data science. This role is less about building models from scratch and more about understanding, evaluating, and optimising AI models to ensure accuracy, scalability, and real-world impact. You’ll work with complex unstructured data (documents, images, PDFs) and help design intelligent, production-ready AI solutions. What you’ll be doing • Analysing and optimising AI/ML models (especially LLMs), • Applying statistics, probability, and optimisation techniques, • Designing GenAI workflows, prompts, and agentic pipelines, • Extracting insights from unstructured data, • Leading technical decisions and mentoring others, • Strong background in mathematics, statistics, or similar, • Experience with Python, LLMs, and Generative AI, • Proven ability to evaluate and improve model performance, • Experience with tools like LangChain or LangGraph

Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • PhD computational chemistry or equivalent, • Drug discovery experience (5y+), • Hands on ADMET or Structural Biology modelling experience (broad scope), • Hands on experience building an ML based model on public and/or internal pharma datasets in the computational chemistry space., • Strong understanding of OpenFold, AlphaFold, Boltz and co-folding, • Confidence in building silico models, • Excellent communicator and connecting stakeholders excellent planning capabilities for experimental planning and execution, • Experience in working in consortium is a plus Remuneration for the Principal Machine Learning Scientist ADMET / Structural Biology • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Hands-on experience with co-folding and structure-based models., • Deep knowledge of federated learning and the nuances of privacy risk in distributed environments., • You build experiments to prove (or disprove) privacy claims using quantitative and qualitative data., • You own the "messy" problems and can explain the why behind technical risks to non-technical leaders., • A strong publication record in ML or Computational Biology., • Experience working within industry consortia or complex partnerships., • Past success influencing industry standards or regulatory privacy positions. Remuneration for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

Principal Data Scientist – AI & Machine Learning Location: London (Hybrid: 3 days in office) Salary: £100,000 – £125,000 + 10% discretionary bonus + equity scheme We’re partnering with a highly respected, data driven organisation in the alternative assets space undergoing a major AI led transformation, including the launch of new generative AI products and intelligent data platforms. They are hiring a Principal Data Scientist to play a key role in shaping and delivering next-generation machine learning solutions across the business. This is a hands on, high impact individual contributor role with significant scope to influence technical direction, mentor others, and own end to end delivery of data science solutions. The Opportunity You’ll work at the forefront of applied AI, building intelligent systems that directly enhance customer experience and business performance. The team is actively launching new AI initiatives, including generative AI and intelligent document understanding tools. This role is ideal for someone who thrives in ambiguity and can take ideas from concept through to production. You will act as a solution owner, taking loosely defined problems and translating them into production ready machine learning systems. What You’ll Be Doing • Design, build, and deploy machine learning models (prediction, classification), • Own delivery of data science solutions from problem definition to production, • Lead experimentation and A/B testing to drive continuous improvement, • Collaborate cross functionally with product, engineering, and commercial teams, • Mentor and elevate a high-performing team of data scientists and ML engineers, • Contribute to AI strategy, including developments in generative AI Experience • 6–12 years’ experience in data science, currently operating at Principal level, • Strong grounding in machine learning fundamentals (supervised learning essential), • Proven experience delivering production-grade ML solutions, • Strong Python and SQL skills, • Experience with experimentation and data-driven decision making, • Ability to operate as a hands-on technical leader (not pure management), • Advanced degree (Master’s or PhD) in a quantitative field, • Experience working with financial or private markets data, • Exposure to alternative investments or private equity datasets, • Knowledge of causal inference, probabilistic modelling, or knowledge graphs Why Apply • High-impact role with ownership and autonomy, • Work on AI initiatives in a growing team, • Strong engineering and data culture with a focus on excellence, • Clear progression and opportunity to shape future capabilities Please note - sponsorship is not available for this position.

Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • PhD computational chemistry or equivalent, • Drug discovery experience (5y+), • Hands on ADMET or Structural Biology modelling experience (broad scope), • Hands on experience building an ML based model on public and/or internal pharma datasets in the computational chemistry space., • Strong understanding of OpenFold, AlphaFold, Boltz and co-folding, • Confidence in building silico models, • Excellent communicator and connecting stakeholders excellent planning capabilities for experimental planning and execution, • Experience in working in consortium is a plus Remuneration for the Principal Machine Learning Scientist ADMET / Structural Biology • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Hands-on experience with co-folding and structure-based models., • Deep knowledge of federated learning and the nuances of privacy risk in distributed environments., • You build experiments to prove (or disprove) privacy claims using quantitative and qualitative data., • You own the "messy" problems and can explain the why behind technical risks to non-technical leaders., • A strong publication record in ML or Computational Biology., • Experience working within industry consortia or complex partnerships., • Past success influencing industry standards or regulatory privacy positions. Remuneration for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • PhD computational chemistry or equivalent, • Drug discovery experience (5y+), • Hands on ADMET or Structural Biology modelling experience (broad scope), • Hands on experience building an ML based model on public and/or internal pharma datasets in the computational chemistry space., • Strong understanding of OpenFold, AlphaFold, Boltz and co-folding, • Confidence in building silico models, • Excellent communicator and connecting stakeholders excellent planning capabilities for experimental planning and execution, • Experience in working in consortium is a plus Remuneration for the Principal Machine Learning Scientist ADMET / Structural Biology • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

A global specialist consultancy in Greater London is looking for a Senior or Principal Data Scientist to upscale their Data Science capabilities. Candidates must have strong consulting experience and a proactive approach to the evolving data landscape.

You are encouraged to apply even if you don't meet every one of the criteria above! You've found above some of the skills and experience we expect from a Principal Data Scientist. We're now looking for a Principal Data Scientist to help us in this next stage of our journey. As a Principal Data Scien

A global biopharma company in the UK is seeking a candidate to support AI/ML solutions in optimizing clinical trial operations and implementing digital health tools.The ideal applicant will have an advanced degree in a related field, robust programming skills in languages such as Python or R, and ex

Our world-leading Laboratory is seeking an experienced Principal Scientist to lead our work in the field of Trustworthy AI. You will lead a team of data and AI scientists, expand capabilities within the department, prepare technical proposals and help define our strategic priorities, whilst engaging

Sign in to set job alerts for “Data Scientist” roles. Data Scientist – Data Science Analytics and Enablement (DSAE). Data Scientist, Internship, United Kingdom - BCG X.

A leading gaming company is looking for a Principal Data Scientist to enhance gameplay and improve business outcomes through advanced data expertise.

We seek a Principal Data Scientist to help us reach our ambitious goals.

Our Principal Data Scientists are members of the Data & AI Practice leadership team with the responsibility to develop the capability of the practice to meet business needs and to accelerate the growth of the practice, their account and the wider business. Demonstrated ability to translate complex t

A leading measurement science laboratory in the UK is seeking an experienced Principal Scientist to lead projects in Trustworthy AI.

A leading laboratory in the UK is seeking an experienced Principal Scientist to lead in Trustworthy AI.

Our world‑leading Laboratory is seeking an experienced Principal Scientist to lead our work in the field of Trustworthy AI. You will lead a team of data and AI scientists, expand capabilities within the department, prepare technical proposals and help define our strategic priorities, whilst engagi

As a Principal Data Scientist, you’ll play a pivotal role in shaping the company’s ML capability, both technically and culturally. Data Scientist or ML Engineer, with exposure to both traditional ML and generative AI. Sign in to set job alerts for “Data Scientist” roles.

We are seeking an experienced and motivated Principal Coastal Scientist to lead projects focused on coastal resilience, climate adaptation and marine ecosystem management.

As a Principal Data Scientist, you will blend hands-on technical work with consulting, stakeholder management and practice-building.

Ideally experience of small molecule drug development, complex co-culture cell assays (eg fibroblasts cultured with cancer cell lines), Incucyte and other cell-based techniques. This Senior/Principal Scientist, Cell Biology role is located in West London. CK Group are recruiting for a Senior/Princip

RRxCo have been retained to lead the recruitment process for a Principal Scientist / Associate Director of MSAT to join a global pharmaceutical business.

Long-Term Recruitment: Senior Scientist / Postdoctoral Researcher / Lecturer / Professor. Research Track: Assistant Researcher → Senior Scientist.

A biotech company in Greater London is seeking a Senior/Principal Scientist to lead statistical and population genomics efforts.

A leading global analytics firm is seeking a Principal Data Scientist to drive advanced analytics within the aviation sector.

As a Principal Data Scientist, you will become a key part of the Data Platform Team to play a central role in designing, implementing, and deploying advanced AI/ML methodologies and production-grade systems. You will collaborate closely with software engineers, data scientists, and domain experts to

A leading medical imaging company is looking for a Principal Scientist specializing in Hematology to join their remote team in the UK.

This role involves leading a team of data scientists to implement machine learning and statistical analysis techniques, providing mentorship, and ensuring project milestones are met.

A leading consulting firm in Greater London seeks an experienced professional to join their Responsible AI team.Candidates should have extensive experience in developing and evaluating Generative AI models, strong programming skills in Python, and a passion for ethical AI systems.The role involves d

A fast-growing global ecommerce marketplace is seeking a Principal Data Scientist to join their data function. In this senior role, you'll lead complex pricing and experimentation initiatives, mentor fellow data scientists, and influence pricing strategies at scale.

We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before.

Position: Senior/Principal Environmental Scientist. Our clients are expanding their environmental and planning teams across Ireland and are hiring at multiple levels — from EIA Specialists and Environmental Consultants to Senior and Principal Environmental Scientists. Principal Environmental Consu

A financial services organization is seeking a Principal Data Scientist/Engineer in Greater London.

This is a unique opportunity for a Senior/Principal Scientist to lead and shape statistical and population genomics efforts to accelerate target identification and validation across multiple therapeutic areas.

A leading analytics firm in London seeks a Senior Principal Data Scientist to drive advanced analytics in the aviation sector.

Principal Data Scientist - Global Insurance Firm. With a strong commitment to building a data‑driven culture, the organisation brings together multidisciplinary teams of data scientists, engineers, and technology specialists to develop scalable analytics solutions that drive measurable business im

As Director, Merchant Risk Data Science, you will play a hands‑on technical leadership role, working with groups of data scientists, driving the design and delivery of next‑generation AI/ML models for merchant risk at Paysafe.

A global pharmaceutical business is seeking a Principal Scientist / Associate Director of MSAT to lead technical project transfers.

We are seeking a Principal Research Scientist to join our Artist-First AI Music lab. Collaborate as part of a cross‑functional team—working closely with scientists, engineers, product managers, designers, user researchers, and analysts—to craft innovative solutions to complex challenges.

A global biopharma company is seeking a skilled scientist to support non-clinical pharmacokinetics/pharmacodynamics (PKPD) and toxicokinetics strategy within early drug development.

A global insurance company is looking for a Principal Data Scientist to lead complex data science initiatives in London or York. You will manage the delivery of impactful data science projects and mentor fellow data scientists.

As a Principal Data Scientist at Faculty, you will serve as a technical leader and domain expert who owns and drives the delivery of the most technically complex, high‑impact projects and programmes for our most important clients. You also will set the technical direction for the data science team