lead scientist

Transasia Bio-Medicals Ltd.

<div>
 
 
 Job Responsibilities:
 
 
 
 1.Lead Cell &amp; Molecular Biology department.
 
 
 2.Design and execute recombinant antigen generation in E.Coli, Insect and mammalian cells for diagnostic kits.
 
 
 3.Generate monoclonal antibodies against antigens by Hybridoma / Phage display methods
 
 
 4.Making recombinant antibodies &ndash; Isolate genes from Hybridoma and expressing them in Mammalian cells.
 
 
 
 
 
 
 Job Specifications:
 
 
 <ol>
 <li>
 M.Sc / PhD ( Life Sciences )
 </li>
 <li>
 10 &ndash; 15 years in Recombinant proteins and Monoclonal Antibody generation.
 </li>
 <li>
 Expertise in Molecular Biology, Cell culture and Purification.
 </li>
 <li>
 Knowledge about diagnostics assays CLIA, Rapid and ELISA would be an added advantage.
 </li>
 </ol>
</div>

Lead Scientist - Molecular Biology

ING Hubs Türkiye

<div>
 
 
 About ING Hubs
 
 
 
 Following ING&rsquo;s strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.
 
 
 
 
 
 𝑃𝑟𝑒𝑠𝑒𝑛𝑡 𝑖𝑛 𝑃𝑜𝑙𝑎𝑛𝑑, 𝑅𝑜𝑚𝑎𝑛𝑖𝑎, 𝑆𝑙𝑜𝑣𝑎𝑘𝑖𝑎, 𝑡&planckh;𝑒 𝑃&planckh;𝑖𝑙𝑖𝑝𝑝𝑖𝑛𝑒𝑠 𝑎𝑛𝑑 𝑇𝑢𝑟𝑘𝑖𝑦𝑒, 𝐼𝑁𝐺 𝐻𝑢𝑏𝑠 𝑒𝑚𝑝𝑙𝑜𝑦 𝑚𝑜𝑟𝑒 𝑡&planckh;𝑎𝑛 11,000 𝑝𝑟𝑜𝑓𝑒𝑠𝑠𝑖𝑜𝑛𝑎𝑙𝑠 𝑖𝑛 𝑑𝑜𝑚𝑎𝑖𝑛𝑠 𝑠𝑢𝑐&planckh; 𝑎𝑠 𝑠𝑜𝑓𝑡𝑤𝑎𝑟𝑒 𝑑𝑒𝑣𝑒𝑙𝑜𝑝𝑚𝑒𝑛𝑡, 𝑑𝑎𝑡𝑎 𝑚𝑎𝑛𝑎𝑔𝑒𝑚𝑒𝑛𝑡, 𝑜𝑝𝑒𝑟𝑎𝑡𝑖𝑜𝑛𝑠 𝑜𝑟 𝑛𝑜𝑛-𝑓𝑖𝑛𝑎𝑛𝑐𝑖𝑎𝑙 𝑟𝑖𝑠𝑘.
 
 
 
 
 
 ING Hubs Turkiye core capabilities, 𝐑𝐞𝐭𝐚𝐢𝐥 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐓𝐞𝐜𝐡, have us looking for data experts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul.
 
 
 
 
 
 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐈𝐍𝐆 𝐇𝐮𝐛𝐬 𝐓𝐮̈𝐫𝐤𝐢𝐲𝐞
 
 
 ING Hubs Turkiye is looking for talents to join an international network of professionals. Building on an existing framework and shared mission, our up-and-coming team will bring its unique personality and skills set to provide borderless services with bank-wide capabilities.
 
 
 We value strong work ethics, knowledge sharing and flexibility in our way of working &ndash; it is both our promise to you and what we look for in new colleagues. Let&rsquo;s meet!
 
 
 
 
 
 
 ING Analytics
 
 
 
 ING Analytics is a new unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of several Global Analytics Centre of Excellences around the bank&rsquo;s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence and People Analytics). as well as strong coordination areas around data management, technology, customer journey, UX, as well as external partnerships.
 
 
 
 
 
 
 Roles and responsibilities
 
 
 
 As a Chapter Lead you have a dual role. You build a strong-identity team that apply their diverse skills and perspectives to achieve common goals, actively perform the people management of your chapter members and further develop and safeguard their knowledge and craftsmanship, in this instance for Advanced Analytics. On the other hand, you are spending the majority of your time working together with your team as a contributor on the delivery as well. As a Chapter Lead you have the complete overview and insight on the capabilities, expertise and experience of your chapter members and you will be responsible to decide on allocation of your chapter members capacity for the global backlog delivery demand coming from the Product Lead and Tribe Lead.
 
 
 
 
 
 
 Role Profile
 
 
 
 As Chapter Lead Data Science, you report to the Tribe Lead Retail Banking Analytics.
 
 
 
 
 
 
 Your responsibilities include:
 
 
 <ul>
 <li>
 Together with the Tribe Lead and Product Lead develop a view on the future of the DS capability craftsmanship and drive continues development of your chapter members
 </li>
 <li>
 Working closely together with the other Chapter Leads to discuss and align on required capabilities and capacity across chapters for delivery
 </li>
 <li>
 Together with the Tribe Lead, Product Lead and other People Leads, decide on the allocation of capacity of your chapter members for the delivery of the global priorities
 </li>
 <li>
 Steer and develop your chapter members to meet both their career goals and the organisation&rsquo;s goals, driving engagement and results via inspiring leadership.
 </li>
 <li>
 Contribute to the success of the projects you are assigned to by doing hands-on data scientist work.
 </li>
 <li>
 Hands-on and multiple retail DS project management in lending, personalization and pricing domains
 </li>
 <li>
 Act as an expert on the craftmanship development needs for Data Science
 </li>
 <li>
 Manage and report on the performance of a substantial, diverse team; set appropriate performance objectives for direct reports or project / account team members and hold them accountable for achieving these
 </li>
 <li>
 Work with your colleagues on the (global) backlog deliveries
 </li>
 <li>
 Attract and retain the best talents, leading interviews when needed for your chapter
 </li>
 </ul>
 
 
 
 
 
 How to succeed
 
 
 
 
 Education:
 
 Bachelor's degree in technical / business field (mathematics, engineering, computer science, econometrics or likewise)
 
 
 
 Experience:
 
 
 <ul>
 <li>
 Management experience in an Agile organization. Management experience in a matrix set up is a plus.
 </li>
 <li>
 Strong analytic skills.
 </li>
 <li>
 Experience as a data scientist in retail domain.
 </li>
 <li>
 Experience/ knowledge of the business of the Tribe you work in.
 </li>
 </ul>
 
 
 Competencies:
 
 
 <ul>
 <li>
 A proven track record in analytics, backlog management and resource planning
 </li>
 <li>
 Ability to lead teams of experts working in a highly complex and dynamic environment promoting awareness in others
 </li>
 <li>
 Achieve optimum results by empowering teams
 </li>
 <li>
 Passionate about developing teams to achieve craftmanship and personal development.
 </li>
 <li>
 A mindset that focusses on continuous improvement.
 </li>
 <li>
 Excellent level of python and spark
 </li>
 <li>
 Excellent level of English
 </li>
 <li>
 Agile/Scrum experience
 </li>
 </ul>
 
 
 
 
 
 What do we offer:
 
 
 
 At ING Hubs Turkiye we want your work to fulfill you in every way, and that is why we take care of even the smallest detail. Check out what is waiting for you;
 
 
 At our organization, you first be yourself, then you are ING&rsquo;er, therefore;
 
 
 &middot; 14 days of welcome leave days even in your first year! Don&rsquo;t postpone your dreams!
 
 
 &middot; We provide self-driven career opportunities where you have never
 
 
 &middot; Personal growth &amp; challenging work with endless opportunities to realize your ambitions
 
 
 &middot; An informal, dynamic environment with innovative colleagues supporting your endeavors
 
 
 &middot; Take a part in global projects and/or career opportunities
 
 
 &middot; Have fun with various communication activities &amp; celebrations
 
 
 &middot; We care your health; comprehensive health insurance package for you and your beloved ones (spouse/children)
 
 
 &middot; Private Pension plan for your future dreams
 
</div>

Chapter Lead Data Scientist

Perfios

<div>
 
 
 What your average day would look like:
 
 
 
 ● Collaborate with product and engineering teams to understand requirements and devise possible solutions.
 
 
 ● Explore existing research papers, ideas and codebases that can be leveraged in current tasks.
 
 
 ● Search for open source datasets and/or design synthetic data pipelines (including data augmentation).
 
 
 ● Devise and implement experiments using DL/ML models.
 
 
 ● Evaluate the experiments to find failure patterns and come up with improvements in data/model architecture/loss function etc.
 
 
 ● Communicate results and ideas to key stakeholders.
 
 
 ● Optimize the models for production and collaborate with software engineers for deployment.
 
 
 
 Must have skills:
 
 
 
 ● Hands-on experience in dealing with image data and CNN based architectures
 
 
 ● Should have worked on deep learning frameworks (like pytorch, tensorflow, keras etc.)
 
 
 ● Proficient in Python and packages like Numpy, Pandas, OpenCV
 
 
 ● Good understanding of data structures and algorithms along with OOPS, Git, SDLC
 
 
 ● Mathematical intuition of ML and DL algorithms
 
 
 ● Good understanding of Statistics, Linear Algebra and Calculus
 
 
 ● Should be able to perform thorough model evaluation by creating hypotheses on the basis of statistical analyses
 
 
 
 Highly desired:
 
 
 
 ● Hands on experience with latest computer vision model architectures and concepts like ViTs, GANs, Diffusion, Vision Language Models
 
 
 ● Knowledge of training and inference optimizations using CUDA, C++, ONNX, TensorRT, OpenVino etc. and profiling of ML pipelines
 
 
 ● Worked on building production level APIs for serving models (Flask, Django, TF Serving)
 
 
 ● Hands-on experience of using MLOps tools.
 
 
 ● Lead and mentor a team of junior data scientists and analysts, providing technical guidance, code reviews, and career development support.
 
 
 ● Oversee the end-to-end delivery of data science projects by coordinating with cross-functional teams and ensuring alignment with business goals.
 
 
 ● Manage a team of data professionals, fostering a collaborative and innovative work environment to drive analytics excellence.
 
 
 ● Act as a technical lead in projects, taking ownership of team deliverables, timelines, and quality assurance of data models and analytics solutions.
 
 
 ● Facilitate regular team meetings, set goals and priorities, and monitor progress to ensure efficient execution of data-driven initiatives.
 
 
 ● Collaborate with product managers, business stakeholders, and engineering teams while managing a high-performing team of data scientists.
 
 
 ● Champion best practices in data science, model development, and deployment while promoting a culture of continuous learning within the team.
 
</div>

Lead Data Scientist

Caterpillar

<div>Career Area:
Technology, Digital and Data
Job Description:
Your Work Shapes the World at Caterpillar Inc.
When you join Caterpillar, you're joining a global team who cares not just about the work we do &ndash; but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here &ndash; we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
Cat Digital is the digital and technology arm of Caterpillar Inc., responsible for bringing world class digital capabilities to our products and services. With almost one million connected assets worldwide, we're focused on using IoT and other data, technology, advanced analytics and AI capabilities to help our customers build a better world.
Build the Digital Backbone of Modern Manufacturing
We&rsquo;re assembling a dynamic team to develop and scale our Manufacturing &amp; Supply Digital Platform&mdash;a next-generation software framework that transforms how manufacturing and supply operations connect, collaborate, and optimize.
This platform is not an ERP system. It&rsquo;s a purpose-built digital layer that integrates data, processes, and resources across the entire manufacturing lifecycle&mdash;from design and engineering to production and distribution.
This initiative is powered by NVIDIA technologies, including the Omniverse platform and AI computing capabilities, enabling immersive digital twins, accelerated simulation, and intelligent automation. You&rsquo;ll be part of a team that&rsquo;s not just building software&mdash;but shaping the future of how manufacturing works through AI-driven, collaborative, and scalable digital solutions.
As part of this initiative, you&rsquo;ll contribute to:<ul><li>
System Integration: Seamlessly connecting diverse manufacturing and supply systems, data sources, and workflows into a unified digital ecosystem.</li><li>
Data-Driven Decision Making: Harnessing real-time data collection, analysis, and visualization to deliver actionable insights and operational intelligence.</li><li>
Automation &amp; Optimization: Driving efficiency through intelligent scheduling, predictive maintenance, and quality control&mdash;without replacing core transactional systems.</li><li>
Enhanced Collaboration: Enabling transparent communication and coordination across teams, functions, and geographies.</li></ul>
If you're passionate about digital platforms, industrial innovation, and working with cutting-edge technologies&mdash;this is your opportunity to make a meaningful impact.
Key Responsibilities:<ul><li>
Coach and mentor Junior Data Scientists in the creation, validation, and application of statistical, machine learning and LLM models as well as in implementing AI solutions</li><li>
Enhance team&rsquo;s creativity to solve business problems using machine learning techniques</li><li>
Evaluate and implement modern optimization algorithms: stochastic search, evolutionary/genetic, reinforcement, and multi-objective optimization.</li><li>
Lead expert-level validation of AI/ML models using industrial analytics metrics such as yield improvement, downtime reduction, and prediction accuracy.</li><li>
Establish standards for data/model lifecycle management, production monitoring, and feedback from physical operations.</li></ul>
Required Skills:<ul><li>
Deep expertise in machine learning and deep learning techniques &mdash; designs composable model services (ensembles, retrieval augmented generation, multimodal orchestration), establishes rigorous evaluation methods.</li><li>
Demonstrated experience in leveraging classical optimization (branch &amp; bound, heuristics, integer programming) techniques.</li><li>
Advanced Python knowledge to handle high-performance analytical workloads, simulation and deployment.</li><li>
Deep knowledge of manufacturing process analytics: multivariate analysis, defect analytics.</li><li>
Team/project leadership with publications or patents in industrial ML or optimization.</li><li>
Experience in building analytics on top of OpenUSD-powered asset graphs, integrating real/virtual process data for digital twins.</li></ul>
Nice to Have Skills:<ul><li>
Hands-on with cloud-native deployments, industrial IoT/edge analytics, and data pipeline automation.</li><li>
Understanding of domains across plant/line telemetry, quality, maintenance, logistics, or scheduling&mdash;can translate noisy signals into predictive and prescriptive use cases</li></ul>
Educational Background: Typically requires a Bachelor&rsquo;s degree, preferably in computer science, Artificial Intelligence, Data Science, mathematics, or a similar field with quantitative coursework, and 8-12 years of professional experience in associated field is required, a Master&rsquo;s degree and 6-8 years of experience, or a PhD and 2-5 years of experience in relevant field.
Posting Dates:
November 7, 2025 - November 20, 2025
Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply
Not ready to apply? Join our Talent Community.</div>

Kimberly-Clark

<div>You&rsquo;re not the person who will settle for just any role. Neither are we. Because we&rsquo;re out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference. Here, you&rsquo;ll bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands. In this role, you&rsquo;ll help us deliver better care for billions of people around the world. It starts with YOU.
This role will be part of Kimberly Clark's International Family Care and Professional (IFP) business&mdash;an organization rooted in purpose and innovation that has built a legacy with global impact. As Kimberly-Clark forms a strategic partnership with Suzano to create a world-class international tissue and professional products company, this role is proposed to transfer to the new venture once the transaction closes, anticipated in mid-2026, subject to consultation and other applicable legal requirements. This is a rare opportunity to help shape a new global leader backed by two industry powerhouses. You&rsquo;ll be part of a high-potential business that combines Kimberly-Clark&rsquo;s iconic brands and commercial excellence with Suzano&rsquo;s industrial and sustainability leadership. 
In this role, you will:
Lead the design, development, and deployment of advanced analytics and AI solutions that drive business transformation across global markets. You will guide a team of data scientists and collaborate with cross-functional stakeholders to deliver high-impact models and AI products. Your work will span predictive modeling, Generative AI, intelligent agents, and scalable data science pipelines using Databricks, Azure Functions, and Python.<ul><li>
Lead the end-to-end development of machine learning and AI solutions, from problem framing to deployment and monitoring.</li><li>
Architect and implement scalable pipelines using Databricks, Azure ML, and Azure Functions.</li><li>
Drive innovation in Generative AI and AI agent applications using frameworks like LangChain, Semantic Kernel, and Hugging Face Transformers.</li><li>
Mentor and guide a team of data scientists, fostering a culture of experimentation, learning, and delivery excellence.</li><li>
Partner with business leaders across RGM, Sales, IME, and Supply Chain to identify opportunities and translate them into data science solutions.</li><li>
Ensure model governance, reproducibility, and compliance with responsible AI principles.</li><li>
Contribute to the evolution of enterprise data science strategy and best practices.</li></ul> 
About Us
Huggies&reg;. Kleenex&reg;. Cottonelle&reg;. Scott&reg;. Kotex&reg;. Poise&reg;. Depend&reg;. Kimberly-Clark Professional&reg;. You already know our legendary brands&mdash;and so does the rest of the world. In fact, millions of people use Kimberly-Clark products every day. We know these amazing Kimberly-Clark products wouldn&rsquo;t exist without talented professionals, like you.
At Kimberly-Clark, you&rsquo;ll be part of the best team committed to driving innovation, growth and impact. We&rsquo;re founded on more than 150 years of market leadership, and we&rsquo;re always looking for new and better ways to perform &ndash; so there&rsquo;s your open door of opportunity. It&rsquo;s all here for you at Kimberly-Clark. 
Led by Purpose. Driven by You
About You
You perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development. You love what you do, especially when the work you do makes a difference. At Kimberly-Clark, we&rsquo;re constantly exploring new ideas on how, when, and where we can best achieve results. When you join our team, you&rsquo;ll experience Flex That Works: flexible work arrangements that empower you to have purposeful time in the office and partner with your leader to make flexibility work for both you and the business.
In one of our technical roles, you&rsquo;ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. To succeed in this role, you will need the following qualifications: 
Key Qualifications and Experiences:<ul><li>
Master&rsquo;s or PhD in Data Science, Computer Science, Statistics, or related field.</li><li>
7+ years of experience in data science roles, including 2+ years in a leadership or mentoring capacity.</li><li>
Deep expertise in Python and its data science ecosystem (pandas, scikit-learn, PyTorch, etc.).</li><li>
Proven experience with Databricks, Azure ML, and Azure Functions.</li><li>
Strong background in machine learning, deep learning, and statistical modeling.</li><li>
Experience building and deploying Generative AI models and AI agents.</li><li>
Familiarity with Snowflake, SAP data structures, and enterprise data integration.</li><li>
Excellent communication and stakeholder engagement skills.</li><li>
Experience in the CPG, healthcare, or B2B/B2C domains.</li><li>
Knowledge of MLOps, CI/CD for ML, and model monitoring frameworks.</li><li>
Exposure to vector databases, RAG pipelines, and multi-agent orchestration tools (e.g., CrewAI, AutoGen).</li><li>
Understanding of data privacy, ethics, and responsible AI frameworks.</li></ul> 
To Be Considered 
Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role.
In the meantime, please check out the careers website.
And finally, the fine print&hellip;.
For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world. We actively seek to build a workforce that reflects the experiences of our consumers. When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law. 
The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position. 
Employment is subject to verification of pre-screening tests, which may include drug screening, background check, and DMV check. 
#LI-Hybrid
.</div>

Tesco

<div>About the role 
Job Summary: 
Lead solution scoping and development to drive Enterprise Analytics team&rsquo;s partnership with Business teams across Tesco to enable 
data driven decisions and deliver on organization's key strategic priorities 
In this job, I&rsquo;m accountable for: 
Following our Business Code of Conduct and always acting with integrity and due diligence and have these specific risk responsibilities: 
<ul><li>Represent Talent Acquisition in all forums/ seminars pertaining to process, compliance and audit</li><li>Perform other miscellaneous duties as required by management</li><li>Driving CI culture, implementing CI projects and innovation for withing the team</li></ul>
Engaging with business &amp; functional partners to understand business priorities, ask relevant questions and scope same into a analytical 
solution document calling out how application of data science will improve decision making 
<ul><li>In depth understanding of techniques to prepare the analytical data set leveraging multiple complex data set sources</li><li>Building Statistical models and ML algorithms with practitioner level competency</li><li>Writing structured, modularized &amp; codified algorithms using Continuous Improvement principles (development of knowledge assets and</li></ul>
reusable modules on GitHub, Wiki, etc) with expert competency 
- Building easy visualization layer on top of the algorithms in order to empower end-users to take decisions - this could be on a 
visualization platform (Tableau / Python) or through a recommendation set through PPTs 
<ul><li>Proactively driving consumption of solutions developed by the team and owning the initiative to identify and address areas of</li></ul>
improvement in the larger Tesco business 
<ul><li>Keeping up-to-date with the latest in data science and retail analytics and disseminating the knowledge among colleagues</li><li>Mentoring and leading a small team of Applied Data Scientists to deliver high impact analytics projects</li></ul> 
You will be responsible for 
<div>
Refer &quot;About the Role&quot;</div>
You will need 
<div>
Key people and teams I work with in and outside of Tesco: 
People, budgets and other resources I am accountable for 
in my job: 
Enterprise Analytics Senior Management 
NA 
Partners across the global Tesco business 
Tesco Business Solutions Senior Management 
Operational skills relevant for this job: 
Experience relevant for this job: 
<ul><li>Applied Math: Applied Statistics, Design of Experiments,</li><li>5+ years experience in data science application in</li></ul>
Regression, Decision Trees, Forecasting, Optimization 
and delivering analytics solutions in industries such as retail, 
algorithms, Clustering, NLP 
consumer packaged goods (CPG), telecom, or hospitality 
<ul><li>Tech: SQL, Hadoop, Spark, Python, Tableau, MS Excel, MS</li></ul>
preferred 
Powerpoint, GitHub 
<ul><li>Exposure to functional areas like marketing, supply chain,</li><li>Business: Basic understanding of Retail domain</li></ul>
customer analytics, merchandising, operations, finance, or digital 
<ul><li>Soft Skill: Analytical Thinking &amp; Problem solving,</li></ul>
analytics</div>
Whats in it for you? 
<div>
At Tesco, we are committed to providing the best for you.</div>
<div></div>
<div>As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day.</div>
<div></div>
<div>Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits.</div>
<div></div>
<div>Total Rewards offered at Tesco is determined by four principles - simple, fair, competitive, and sustainable.</div>
<div></div>
<div>Salary - Your fixed pay is the guaranteed pay as per your contract of employment.</div>
<div></div>
<div>Performance Bonus - Opportunity to earn additional compensation bonus based on performance, paid annually</div>
<div></div>
<div>Leave &amp; Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company&rsquo;s policy.</div>
<div></div>
<div>Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF.</div>
<div></div>
<div>Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws.</div>
<div></div>
<div>Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents.</div>
<div></div>
<div>Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request.</div>
<div></div>
<div>Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan.</div>
<div></div>
<div>Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle.</div>
About Us 
<div>
At Tesco, inclusion is at the heart of everything we do. We believe in treating everyone fairly and with respect, valuing individuality and uniqueness to create a true sense of belonging. Diversity and inclusion are deeply embedded in our values&mdash;we treat people how they want to be treated. Our goal is for all colleagues to feel they can be themselves at work, and we are committed to helping them thrive. Across the Tesco group, we are building an inclusive workplace that actively celebrates the cultures, personalities, and preferences of our colleagues, who in turn contribute to the success of our business and reflect the diversity of the communities we serve.</div>
<div></div>
<div> At Tesco Bengaluru, we are proud to be a Disability Confident Committed Employer, highlighting our commitment to creating a supportive environment for individuals with disabilities. We are dedicated to offering equal opportunities for all candidates and encourage applicants with disabilities to apply. Our recruitment process is fully accessible, and we are happy to provide reasonable adjustments during interviews. If you need any accommodations to participate in the recruitment process, please let us know. We are here to ensure that everyone has the chance to succeed.</div>
<div></div>
<div> We also believe in fostering a work environment where you can excel both professionally and personally. Our hybrid model allows you to work flexibly&mdash;spend 60% of your week collaborating in person with colleagues at our office locations or local sites, and the rest of the time working remotely. We understand that everyone&rsquo;s life journey is unique, whether you are starting your career, pursuing passions, or navigating life changes, and we are here to support you. Flexibility is a core part of our culture, and we encourage open conversations about how we can best accommodate your needs, so talk to us throughout your application process on the support required.</div></div>

Lead Decision scientist

Unidos Technology

Dear candidates,Job Description:Application of the latest AI technology for the development of algorithmsEstablishment of a data science teamResponsibilities:&middot; Knowledge and experience in Python, C++, R, or other relevant programming experience and version control&middot; Practical understanding of SQL and NoSQL databases&middot; Experience in the application of various machine learning algorithms and deep learning algorithms&middot; Experience in statistical data analysis and data visualization&middot; Experience in working in project teams&middot; Experience in setting up and managing a data science team&middot; In-depth knowledge in a specific area of ML / data science / statistics&middot; Experience in the design and development of services and applications&middot; Strong communication skills in English (written and spoken)Requirements:Completed studies with a focus on machine learning, mathematics, data science, computer science, statistics, etc. or a comparable educationExperience: 15 to 18 YearsJob Type: Full-timePay: &#8377;1,528,352.87 - &#8377;2,573,285.23 per yearBenefits:<ul><li>Health insurance</li><li>Provident Fund</li></ul>Work Location: In person

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